Literature DB >> 25344022

Clinical impact of checkpoint inhibitors as novel cancer therapies.

Kent Shih1, Hendrik-Tobias Arkenau, Jeffrey R Infante.   

Abstract

Immune responses are tightly regulated via signaling through numerous co-stimulatory and co-inhibitory molecules. Exploitation of these immune checkpoint pathways is one of the mechanisms by which tumors evade and/or escape the immune system. A growing understanding of the biology of immune checkpoints and tumor immunology has led to the development of monoclonal antibodies designed to target co-stimulatory and co-inhibitory molecules in order to re-engage the immune system and restore antitumor immune responses. Anti-cytotoxic T-lymphocyte-associated antigen 4 (CTLA-4) antibodies were among the first to be tested in the clinic, and ipilimumab was the first immune checkpoint inhibitor approved for an anticancer indication. Agents targeting the programmed death 1 (PD-1) pathway, either PD-1 or one of its ligands, programmed death ligand 1, are in active clinical development for numerous cancers, including advanced melanoma and lung cancer. Understanding the different mechanisms of action, safety profiles, and response patterns associated with inhibition of the CTLA-4 and PD-1 pathways may improve patient management as these therapies are moved in to the clinical practice setting and may also provide a rationale for combination therapy with different inhibitors. Additional immune checkpoint molecules with therapeutic potential, including lymphocyte activation gene-3 and glucocorticoid-induced tumor necrosis factor receptor-related gene, also have inhibitors in early stages of clinical development. Clinical responses and safety data reported to date on immune checkpoint inhibitors suggest these agents may have the potential to markedly improve outcomes for patients with cancer.

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Year:  2014        PMID: 25344022      PMCID: PMC4224737          DOI: 10.1007/s40265-014-0305-6

Source DB:  PubMed          Journal:  Drugs        ISSN: 0012-6667            Impact factor:   9.546


Key Points

Introduction

Rudolph Virchow may have been one of the first physicians in modern times to observe the link between the immune system and malignancy in what he termed “lymphoreticular infiltrates”. These infiltrates were leukocytes surrounding malignant tumors, and he hypothesized that proinflammatory states might induce normal tissues to become malignant [1]. Since then, we have learned a great deal about how the immune system responds and reacts to tumors, which tumor-specific antigens are recognized as foreign, and how immune responses can be manipulated and harnessed to enhance tumor cell killing. Recently, it has been recognized that, on its own, tumor peptide presentation by major histocompatibility complex (MHC) to T-cell receptors is inadequate for successful T-cell activation and immune destruction of cancer cells. Co-regulatory signals, either inhibitory or stimulatory, are also required [2, 3]. T cells play a critical role in cell-mediated tumor immunity, and do so through an intricate counterbalance of co-stimulatory and co-inhibitory cell-to-cell signals between various components of the immune system. This system of checks and balances is necessary not only to allow a powerful destructive response against both pathogens and malignancies, but also to prevent immune responses from being generated against normal tissues. Critical ‘checkpoints’ control and fine-tune the immune system through regulation of this complex network of co-stimulatory and co-inhibitory signaling [3]. In this paper, we review some of the important immune checkpoint molecules elucidated to date, as well as efforts to block these molecules in order to shift the balance towards antitumor immunity. We also describe some of the complexities and challenges encountered using these checkpoint inhibitors in the clinic.

Cytotoxic T-Lymphocyte-Associated Antigen (CTLA)-4

Background

More than 40 years of research has led to the development of a two-signal theory of T-cell activation: antigenic stimulation of the T-cell receptor (TCR) (signal 1) together with co-stimulation by other molecules on the cell surface (signal 2) [2, 3]. One of the key co-stimulatory mechanisms involves the interaction of CD28 on the surface of the T cell with B7 molecules CD80 or CD86 on antigen-presenting cells. CTLA-4, a transmembrane glycoprotein with considerable homology to CD28, binds to the same B7 ligands, as such (Fig. 1). Upon TCR stimulation by antigens, T cells express CTLA-4, which can bind B7 molecules; however, unlike CD28, CTLA-4 inhibits T-cell responses and is important for maintenance of immune tolerance. Expression of CTLA-4 raises the activation threshold and attenuates clonal expansion; thus, a productive T-cell response ensues only upon a net co-stimulatory signal.
Fig. 1

T-cell activation and immune checkpoint pathways. T-cell activation requires two signals: (1) presentation of antigenic peptides by MHC to the TCR and (2) co-stimulation, typically via CD28:CD80 or CD28:CD86 ligation. Immune checkpoint pathways comprising receptors on T cells and ligands on antigen-presenting cells and/or tumors fine-tune immune responses via T-cell activation or inhibition. CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, GAL9 galectin-9, GITR glucocorticoid-induced TNF receptor-related gene, GITRL glucocorticoid-induced TNF receptor-related gene ligand, LAG-3 lymphocyte activation gene-3, MHC major histocompatibility complex, PD-1 programmed death-1, PD-L1 programmed death ligand 1, PD-L2 programmed death ligand 2, TCR T-cell receptor, TIM3 T-cell immunoglobulin and mucin domain 3, TNF tumor necrosis factor

T-cell activation and immune checkpoint pathways. T-cell activation requires two signals: (1) presentation of antigenic peptides by MHC to the TCR and (2) co-stimulation, typically via CD28:CD80 or CD28:CD86 ligation. Immune checkpoint pathways comprising receptors on T cells and ligands on antigen-presenting cells and/or tumors fine-tune immune responses via T-cell activation or inhibition. CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, GAL9 galectin-9, GITR glucocorticoid-induced TNF receptor-related gene, GITRL glucocorticoid-induced TNF receptor-related gene ligand, LAG-3 lymphocyte activation gene-3, MHC major histocompatibility complex, PD-1 programmed death-1, PD-L1 programmed death ligand 1, PD-L2 programmed death ligand 2, TCR T-cell receptor, TIM3 T-cell immunoglobulin and mucin domain 3, TNF tumor necrosis factor

Efficacy of CTLA-4 Inhibitors

Ipilimumab

Ipilimumab, one of the best-studied monoclonal antibodies targeting CTLA-4 (Table 1 [4-16]), has been evaluated in a clinical trial program of more than 2,000 patients with a variety of solid tumors [4, 5, 17–19]. Ipilimumab (Yervoy®), administered every 3 weeks for four doses, gained US FDA approval in 2011 for the treatment of unresectable or metastatic melanoma, based on data from two phase III randomized trials showing improvement on median overall survival (OS) over control arms in patients with melanoma [4, 5, 20]. One of the pivotal phase III trials evaluated ipilimumab with or without gp100 vaccine in previously treated patients with advanced melanoma. Although the best overall response rates were modest, 10.9 % in the ipilimumab-alone group and 5.7 % in the ipilimumab plus gp100 vaccine group, some patients in both groups maintained an objective response for at least 2 years [4]. In this trial, the 3-year OS rate for ipilimumab monotherapy was 20 % [4], which compares favorably with the 3-year OS rate of 17 % for historical control patients receiving standard of care chemotherapy in a separate clinical trial [21] (Table 2 [4, 5, 7, 18, 19, 21–33]). The other pivotal phase III trial was conducted in treatment-naïve patients with metastatic melanoma and compared ipilimumab plus dacarbazine versus dacarbazine plus placebo [5]. Although the dose and schedule were slightly different, the rate of best overall response was 15 % in the ipilimumab plus dacarbazine group versus 10 % for the dacarbazine plus placebo group, while the median duration of response was 19.3 versus 8.1 months for the dacarbazine plus placebo group. Responses lasting at least 2 years were observed in both treatment groups. The 3-year survival rate with ipilimumab plus dacarbazine was significantly higher than dacarbazine plus placebo: 20.8 versus 12.2 % (P < 0.001).
Table 1

Immune checkpoint inhibitors in clinical development [4–16]

NameCompanyDescription of agent
Ipilimumab [4, 5]Bristol-Myers SquibbHuman IgG1 mAb against CTLA-4
Tremelimumab [6]MedImmune/AstraZenecaHuman IgG2 mAb against CTLA-4
Pembrolizumab (MK-3475) [7]MerckHumanized IgG4 mAb against PD-1
Nivolumab (BMS-936558) [8]Bristol-Myers SquibbHuman IgG4 mAb against PD-1
Pidilizumab (CT-011) [9]CureTechHumanized IgG1 mAb against PD-1
AMP-224 [10]Amplimmune; GlaxoSmithKlinePD-L2-IgG recombinant fusion protein
MPDL3280A [11, 12]Genentech/RocheHuman IgG mAb against PD-L1
BMS-936559 [13]Bristol-Myers SquibbHuman IgG4 mAb against PD-L1
MEDI4736 [14]MedImmune/AstraZenecaHuman mAb against PD-L1
IMP321 [15]ImmutepSoluble LAG-3 Ig fusion protein and MHC class II agonist
TRX518 [16]GITR, IncHumanized mAb against GITR

CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, GITR glucocorticoid-induced tumor necrosis factor receptor-related gene, IgG immunoglobulin G, LAG-3 lymphocyte activation gene-3, mAb monoclonal antibody, MHC major histocompatibility complex, PD-1 programmed death 1, PD-L1 programmed death ligand 1, PD-L2 programmed death ligand 2

Table 2

Preliminary efficacy data with immune checkpoint inhibitors or controls from individual (not head-to-head) trialsa [4, 5, 7, 17, 18, 21–33]

Advanced tumor settingAgent or controlMedian PFSMedian OSSurvival rateReference(s)
MelanomaCTX (CTX-naïve pts)ND9.1–10.7 months

1-year: 36 %

3-year: 12–17 %

[5, 21]
Ipilimumab2.9 months10.1 months3-year: ≈20 %[4]
TremelimumabND12.6 months3-year: 21 %[21]
Pembrolizumab5.5 monthsNR1-year: 69 %[7]
Nivolumab3.7 months17.3 months

1-year: 63 %

3-year: 41 %

[22]
Pidilizumab1.9 monthsND1-year: 65 %[23]
Nivolumab plus ipilimumab27 weeks40 months

1-year: 85 %

2-year: 79 %

[24]
NSCLCCTX (CTX-naïve pts)4.2 months8.3 months

1-year: 39 %

2-year: 18 %

[18]
Pembrolizumab10–27 weeksb 51 weeksND[2527]
Nivolumab (previously-treated pts)2.3 months9.9 months

1-year: 42 %

3-year: 24 %

[28]
Nivolumab (CTX-naïve pts)36.1 weeksNR1-year: 75 %[29]
RCCSorafenib3.6–5.7 months11.0–19.2 months3-year: ≈25 %[3032]
Nivolumab2.7–4.2c months18.2–24.7c months2.5-year: ≈35 %[33]
CRPCPlacebo3.1 months10.0 months

1-year: 40 %

2-year: 15 %

[17]
Ipilimumab4.0 months11.2 months

1-year: 47 %

2-year: 26 %

[17]

CRPC castration-resistant prostate cancer, CTX chemotherapy, ND no data, NR not reached, NSCLC non-small-cell lung cancer, OS overall survival, PFS progression-free survival, pts patients, RCC renal cell carcinoma

aImportant: data are not from head-to-head trials, and the trials differ by patient characteristics, patient numbers, and length of follow-up, therefore direct comparisons across trials and agents have limited validity; trials in tumor types with PFS and OS data were included

bBased on differing studies and data-cuts

cDose-dependent

Immune checkpoint inhibitors in clinical development [4-16] CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, GITR glucocorticoid-induced tumor necrosis factor receptor-related gene, IgG immunoglobulin G, LAG-3 lymphocyte activation gene-3, mAb monoclonal antibody, MHC major histocompatibility complex, PD-1 programmed death 1, PD-L1 programmed death ligand 1, PD-L2 programmed death ligand 2 Preliminary efficacy data with immune checkpoint inhibitors or controls from individual (not head-to-head) trialsa [4, 5, 7, 17, 18, 21–33] 1-year: 36 % 3-year: 12–17 % 1-year: 63 % 3-year: 41 % 1-year: 85 % 2-year: 79 % 1-year: 39 % 2-year: 18 % 1-year: 42 % 3-year: 24 % 1-year: 40 % 2-year: 15 % 1-year: 47 % 2-year: 26 % CRPC castration-resistant prostate cancer, CTX chemotherapy, ND no data, NR not reached, NSCLC non-small-cell lung cancer, OS overall survival, PFS progression-free survival, pts patients, RCC renal cell carcinoma aImportant: data are not from head-to-head trials, and the trials differ by patient characteristics, patient numbers, and length of follow-up, therefore direct comparisons across trials and agents have limited validity; trials in tumor types with PFS and OS data were included bBased on differing studies and data-cuts cDose-dependent Ipilimumab was evaluated as adjuvant therapy following complete resection of stage III melanoma in a phase III trial in patients at high risk of recurrence [34]. Patients receiving ipilimumab had a significantly increased median OS as compared with patients receiving placebo: 26.1 versus 17.1 months (P = 0.0013). The 3-year rates of recurrence-free survival were 47 % for ipilimumab and 35 % for placebo. Preclinical studies suggest that chemotherapy can induce the release of tumor-specific antigens, thereby initiating T-cell activation and sensitizing tumor cells to T-cell-mediated killing [35]. These observations provided the rationale for combining immunotherapy with cytotoxic agents to improve responses in patients with melanoma, and also led to the initiation of clinical trials evaluating ipilimumab with chemotherapy in lung cancer. A phase II, randomized study provided evidence that sequential ipilimumab is more effective than concurrent ipilimumab when administered with paclitaxel/carboplatin in chemotherapy-naïve stage IIIB/IV patients with non-small-cell lung cancer (NSCLC). The median OS with sequential ipilimumab, concurrent ipilimumab, and the control regimen was 12.2, 9.7, and 8.3 months, respectively. In this trial, patients with squamous histology exhibited better outcomes (median immune-related progression-free survival [irPFS] and OS) with sequential ipilimumab dosing than did patients with non-squamous histology [18]. Based on these findings, a phase III trial evaluating OS in patients with squamous NSCLC receiving sequential ipilimumab after chemotherapy was initiated (Table 3 [16]).
Table 3

Ongoing phase II and III clinical trials of immune checkpoint inhibitors [16]a

TargetTreatment approachTumor typeTrial phaseTreatment settingTrial stage (no. patients)Clinical endpointsEstimated primary/final completion dateTrial identifier
CTLA-4
Ipilimumab b
Lung cancer
 Ipilimumab + etoposide/platinum vs. etoposide/platinumIIIExtensive-disease SCLCRecruiting (n = 1,100)

Primary: OS

Secondary: OS, irPFS, BORR, DOR

Nov 2015/Mar 2017NCT01450761
 Ipilimumab + paclitaxel/carboplatin vs. paclitaxel/carboplatinIIIStage IV/recurrent squamous NSCLCRecruiting (n = 920)

Primary: OS

Secondary: OS, PFS, BORR

Apr 2015/Dec 2016NCT01285609
Melanoma
 IpilimumabI/IIUveal melanomaRecruiting (n = 141)

Primary: MTD

Secondary: OS

Nov 2017NCT01585194
 Ipilimumab + temozolomideIIMetastatic melanomaOngoing (n = 64)Primary: 6-month PFSMay 2015NCT01119508
 Ipilimumab vs. chemotherapy (retreatment)IIAdvanced melanoma with progression after initial disease control with ipilimumabOngoing (n = 138)

Primary: OS

Secondary: DCR, BORR, QOL

Jul 2016NCT01709162
 Ipilimumab 3 mg/kg vs. 10 mg/kgIIIUnresectable or metastatic melanomaOngoing (n = 700)

Primary: OS

Secondary: PFS, BORR, DCR, DOR, DSD

Sep 2015/Dec 2016NCT01515189
 Ipilimumab vs. placeboIIIHigh-risk stage III melanoma after surgical removalOngoing (n = 950)

Primary: RFS

Secondary: OS, distant metastases-free survival, safety, QOL

July 2013/April 2015NCT00636168
 Ipilimumab vs. nivolumab vs. ipilimumab + nivolumabIIIPreviously untreated advanced melanomaRecruiting (n = 915)

Primary: OS

Secondary: PFS, ORR, PD-L1 biomarker, QOL

Oct 2016/Oct 2017NCT01844505
 Ipilimumab vs. high-dose IFN-α-2bIIIHigh-risk stage III or IV melanoma after surgical removalRecruiting (n = 1,500)

Primary: Recurrence-free survival, OS

Secondary: Safety, QOL

May 2018NCT01274338
Prostate cancer
 Ipilimumab + sipuleucel-TIIProgressive metastatic prostate cancerOngoing (n = 66)

Primary: Safety, immune responses

Secondary: PSA response, clinical response, immune markers

Aug 2014/Aug 2015NCT01804465
 Ipilimumab vs. placeboIIIMetastatic prostate cancerOngoing (n = 600)

Primary: OS

Secondary: PFS, time to pain progression, time to subsequent non-hormonal systemic therapy, safety

Jan 2015/Nov 2015NCT01057810
Gastric cancer
 Ipilimumab vs. standard of careIIUnresectable or metastatic gastric and gastroesophageal cancerRecruiting (n = 114)

Primary: irPFS

Secondary: PFS, OS, irBORR

Jul 2014/Mar 2015NCT01585987
Tremelimumab
Mesothelioma
 Tremelimumab vs. placeboIIUnresectable malignant mesotheliomaRecruiting (n = 180)

Primary: OS

Secondary: DCR, PFS, ORR, DOR, safety, QOL, PK

Jun 2015NCT01843374
PD-1
Pembrolizumab (MK-3475)
Lung cancer
 Pembrolizumab vs. docetaxelII/IIIPreviously treated PD-L1-positive NSCLCRecruiting (n = 920)

Primary: OS, PFS, safety

Secondary: ORR, DOR

Sep 2015/Jan 2020NCT01905657
Melanoma
 Pembrolizumab vs. chemotherapyc IIAdvanced melanoma with progression after prior therapyOngoing (n = 510)

Primary: PFS, OS

Secondary: ORR, DOR

Mar 2015/Jan 2016NCT01704287
 Pembrolizumab vs. ipilimumabIIIUnresectable or metastatic melanomaRecruiting (n = 645)

Primary: PFS, OS

Secondary: ORR

Jul 2014/Mar 2016NCT01866319
Melanoma or NSCLC with untreated brain metastases
 PembrolizumabIIMelanoma or NSCLC with untreated brain metastasesRecruiting (n = 64)

Primary: Response

Secondary: Brain metastases response

Dec 2018/Mar 2018NCT02085070
Colon cancer
PembrolizumabIIColon cancerRecruiting (n = 71)

Primary: irPFS, irOR

Secondary: OS, irPFS, PFS, BORR, DCR, safety, biomarkers

Jun 2017NCT01876511
Nivolumab
Lung cancer
 NivolumabIIAdvanced or metastatic squamous cell NSCLC with ≥2 prior systemic regimensOngoing (n = 100)

Primary: IRC-assessed ORR

Secondary: Investigator-assessed ORR

Feb 2014/Feb 2015NCT01721759
 Nivolumab + epigenetic primingIIRecurrent metastatic NSCLCRecruiting (n = 120)

Primary: Tumor response

Secondary: PFS, TTP, OS, safety

Jan 2015/Aug 2015NCT01928576
 Nivolumab vs. docetaxelIIIPreviously treated advanced or metastatic squamous cell NSCLCOngoing (n = 264)

Primary: IRC-assessed ORR, OS

Secondary: IRC-assessed PFS, PD-L1 biomarker, DOR, TTR, QOL

Aug 2014/Aug 2015NCT01642004
 Nivolumab vs. docetaxelIIIPreviously treated advanced or metastatic non-squamous cell NSCLCOngoing (n = 574)

Primary: OS

Secondary: ORR, PFS, PD-L1 biomarker, DRSPR

Nov 2014/Nov 2015NCT01673867
Melanoma
 Nivolumab + ipilimumab vs. ipilimumabIIPreviously untreated, unresectable or metastatic melanomaOngoing (n = 150)

Primary: ORR

Secondary: PFS, ORR and PFS in BRAF mutant patients, QOL

Jul 2014/May 2015NCT01927419
 Nivolumab + ipilimumabIIAdvanced or metastatic melanomaRecruiting (n = 100)

Primary: Safety

Secondary: ORR, PR

Aug 2014/Jan 2019NCT01783938
 Nivolumab vs. dacarbazine or carboplatin/paclitaxelIIIAdvanced melanoma with progression after ipilimumabOngoing (n = 390)

Primary: ORR, OS

Secondary: PFS, PD-L1 biomarker, QOL

May 2015/Jan 2016NCT01721746
 Nivolumab vs. dacarbazineIIIPreviously untreated unresectable or metastatic melanomaRecruiting (n = 410)

Primary: OS

Secondary: PFS, ORR, PD-L1 biomarker, QOL

Sep 2015/Nov 2015NCT01721772
 Nivolumab or nivolumab + ipilimumab vs. ipilimumabIIIPreviously untreated unresectable or metastatic melanomaRecruiting (n = 915)

Primary: OS

Secondary: PFS, ORR, PD-L1 biomarker, QOL

Oct 2016/Oct 2017NCT01844505
RCC
 NivolumabIIAdvanced or metastatic clear-cell RCCOngoing (n = 150)

Primary: PFS

Secondary: PFS,

BORR, OS

May 2013/Jun 2014NCT01354431
 Nivolumab vs. everolimusIIIPre-treated advanced or metastatic clear-cell RCCRecruiting (n = 822)

Primary: OS

Secondary: PFS, ORR, DOR, PD-L1 biomarker, safety, DRSPR

Feb 2016NCT01668784
Other
 Nivolumab or nivolumab + ipilimumab vs. bevacizumabIIRecurrent glioblastomaRecruiting (n = 260)

Primary: Safety, OS

Secondary: PFS, ORR, OS

Jan 2018NCT02017717
 NivolumabIIRelapsed or refractory diffuse large B-cell lymphomaRecruiting (n = 120)

Primary: ORR

Secondary: DOR, CRR, PFS, ORR

Feb 2016NCT02038933
 NivolumabIIIRecurrent or metastatic head and neck carcinomaRecruiting (n = 180)

Primary: PFS, OS

Secondary: ORR

Jun 2016/Jun 2017NCT02105636
Pidilizumab (CT-011)
Prostate cancer
 Pidilizumab + sipuleucel-T + cyclophosphamideIIAdvanced prostate cancerRecruiting (n = 57)

Primary: Feasibility, immune efficacy

Secondary: PFS, OS

Dec 2014/Dec 2017NCT01420965
Hematologic malignancies
 Pidilizumab + vaccineIIAMLRecruiting (n = 75)

Primary: Toxicity

Secondary: Immune response, tumor regression, TTP

Sep 2014NCT01096602
 Pidilizumab + lenalidomideIIRelapsed or refractory MMRecruiting (n = 53)

Primary: MTD, OR,

Secondary: TTP, OS, PK

Jun 2017NCT02077959
PD-L1
MPDL3280A
Lung cancer
 MPDL3280AIIPD-L1-positive locally advanced or metastatic NSCLCRecruiting (n = 130)

Primary: ORR

Secondary: ORR, DOR, PFS, safety, PK

May 2015NCT01846416
 MPDL3280A vs. docetaxelIIAdvanced or metastatic NSCLC after platinum failureRecruiting (n = 300)

Primary: OS

Secondary: OR, PFS, safety, QOL

Mar 2016/Mar 2017NCT01903993
 MPDL3280AIIPD-L1-positive advanced or metastatic NSCLCRecruiting (n = 300)

Primary: ORR

Secondary: DOR, PFS, OS, safety, PK

Mar 2018NCT02031458
 MPDL3280A vs. docetaxelIIIAdvanced or metastatic NSCLC after platinum failureRecruiting (n = 850)

Primary: OS

Secondary: Safety, OR, PFS, DOR

Jun 2018NCT02008227
Other
 MPDL3280A or MPDL3280A + bevacizumab vs. sunitinibIIPreviously untreated locally advanced or metastatic RCCRecruiting (n = 150)

Primary: PFS

Secondary: irPFS, OR, DOR, OS, PK

Mar 2016NCT01984242
 MPDL3280AIILocally advanced or metastatic urothelial bladder cancerRecruiting (n = 330)

Primary: ORR

Secondary: DOR, PFS, OS, safety, PK

Nov 2015/Jul 2016NCT02108652
MEDI4736
Lung cancer
 MEDI4736IILocally advanced or metastatic NSCLC with ≥2 prior systemic regimensRecruiting (n = 210)

Primary: ORR

Secondary: DOR, PFS, DCR, OS, DSR, safety, PK

Apr 2015/Jan 2016NCT02087423
 MEDI4736 vs. docetaxel (sub-study)IIAdvanced squamous NSCLCRecruiting (n = undefined for substudy)

Primary: PFS, OS

Secondary: ORR, safety, irPFS, irOR

Jun 2022NCT02154490
 MEDI4736 vs. placebo following concurrent chemoradiationIIIStage III unresectable NSCLCRecruiting (n = 880)

Primary: OS, PFS

Secondary: OS, DOR, ORR, PFS

May 2017/Nov 2020NCT02125461

AML acute myelogenous leukemia, BORR best overall response rate, CRR complete remission rate, CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, DCR disease control rate, DMFS distant metastases-free survival, DOR duration of response, DRSPR disease-related symptom progression rate, DSD duration of stable disease, DSR deep sustained response, IFN interferon, irBORR immune-related best overall response rate, IRC independent review committee, irOR objective response using immune-related response criteria, irPFS immune-related progression free survival, MM multiple myeloma, MTD maximum tolerated dose, NSCLC non-small-cell lung cancer, OR overall response, ORR objective response rate, OS overall survival, PD-1 programmed death-1, PD-L1 programmed death ligand 1, PFS progression-free survival, PK pharmacokinetics, PR progression rate, PSA prostate specific antigen, QOL quality of life, RCC renal cell carcinoma, RFS recurrence-free survival, SCLC small cell lung cancer, TTP time to progression, TTR time to response

aActive (as of July 2014) phase II and III trials with planned enrolment of ≥50 patients are listed

bDue to the high volume of ipilimumab trials, only those with Bristol-Myers Squibb listed as the sponsor or collaborator are included

cInvestigator-choice chemotherapy (carboplatin + paclitaxel, paclitaxel alone, dacarbazine, or temozolomide)

Ongoing phase II and III clinical trials of immune checkpoint inhibitors [16]a Primary: OS Secondary: OS, irPFS, BORR, DOR Primary: OS Secondary: OS, PFS, BORR Primary: MTD Secondary: OS Primary: OS Secondary: DCR, BORR, QOL Primary: OS Secondary: PFS, BORR, DCR, DOR, DSD Primary: RFS Secondary: OS, distant metastases-free survival, safety, QOL Primary: OS Secondary: PFS, ORR, PD-L1 biomarker, QOL Primary: Recurrence-free survival, OS Secondary: Safety, QOL Primary: Safety, immune responses Secondary: PSA response, clinical response, immune markers Primary: OS Secondary: PFS, time to pain progression, time to subsequent non-hormonal systemic therapy, safety Primary: irPFS Secondary: PFS, OS, irBORR Primary: OS Secondary: DCR, PFS, ORR, DOR, safety, QOL, PK Primary: OS, PFS, safety Secondary: ORR, DOR Primary: PFS, OS Secondary: ORR, DOR Primary: PFS, OS Secondary: ORR Primary: Response Secondary: Brain metastases response Primary: irPFS, irOR Secondary: OS, irPFS, PFS, BORR, DCR, safety, biomarkers Primary: IRC-assessed ORR Secondary: Investigator-assessed ORR Primary: Tumor response Secondary: PFS, TTP, OS, safety Primary: IRC-assessed ORR, OS Secondary: IRC-assessed PFS, PD-L1 biomarker, DOR, TTR, QOL Primary: OS Secondary: ORR, PFS, PD-L1 biomarker, DRSPR Primary: ORR Secondary: PFS, ORR and PFS in BRAF mutant patients, QOL Primary: Safety Secondary: ORR, PR Primary: ORR, OS Secondary: PFS, PD-L1 biomarker, QOL Primary: OS Secondary: PFS, ORR, PD-L1 biomarker, QOL Primary: OS Secondary: PFS, ORR, PD-L1 biomarker, QOL Primary: PFS Secondary: PFS, BORR, OS Primary: OS Secondary: PFS, ORR, DOR, PD-L1 biomarker, safety, DRSPR Primary: Safety, OS Secondary: PFS, ORR, OS Primary: ORR Secondary: DOR, CRR, PFS, ORR Primary: PFS, OS Secondary: ORR Primary: Feasibility, immune efficacy Secondary: PFS, OS Primary: Toxicity Secondary: Immune response, tumor regression, TTP Primary: MTD, OR, Secondary: TTP, OS, PK Primary: ORR Secondary: ORR, DOR, PFS, safety, PK Primary: OS Secondary: OR, PFS, safety, QOL Primary: ORR Secondary: DOR, PFS, OS, safety, PK Primary: OS Secondary: Safety, OR, PFS, DOR Primary: PFS Secondary: irPFS, OR, DOR, OS, PK Primary: ORR Secondary: DOR, PFS, OS, safety, PK Primary: ORR Secondary: DOR, PFS, DCR, OS, DSR, safety, PK Primary: PFS, OS Secondary: ORR, safety, irPFS, irOR Primary: OS, PFS Secondary: OS, DOR, ORR, PFS AML acute myelogenous leukemia, BORR best overall response rate, CRR complete remission rate, CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, DCR disease control rate, DMFS distant metastases-free survival, DOR duration of response, DRSPR disease-related symptom progression rate, DSD duration of stable disease, DSR deep sustained response, IFN interferon, irBORR immune-related best overall response rate, IRC independent review committee, irOR objective response using immune-related response criteria, irPFS immune-related progression free survival, MM multiple myeloma, MTD maximum tolerated dose, NSCLC non-small-cell lung cancer, OR overall response, ORR objective response rate, OS overall survival, PD-1 programmed death-1, PD-L1 programmed death ligand 1, PFS progression-free survival, PK pharmacokinetics, PR progression rate, PSA prostate specific antigen, QOL quality of life, RCC renal cell carcinoma, RFS recurrence-free survival, SCLC small cell lung cancer, TTP time to progression, TTR time to response aActive (as of July 2014) phase II and III trials with planned enrolment of ≥50 patients are listed bDue to the high volume of ipilimumab trials, only those with Bristol-Myers Squibb listed as the sponsor or collaborator are included cInvestigator-choice chemotherapy (carboplatin + paclitaxel, paclitaxel alone, dacarbazine, or temozolomide) Ipilimumab is also being investigated in the setting of metastatic castration-resistant prostate cancer (mCRPC). In a phase III trial of ipilimumab versus placebo in post-docetaxel patients with mCRPC receiving a single dose of radiotherapy, the primary endpoint of OS was not reached; however, pre-specified subset analyses suggested that ipilimumab may be more active in patients with favorable prognostic factors, including no visceral disease, alkaline phosphatase <1.5 upper limit of normal, and hemoglobin ≥11 g/dL [17]. Results from this study support the investigation of ipilimumab in the ongoing phase III, CA184-095 study among chemotherapy-naïve patients with mCRPC (Table 3 [16]).

Tremelimumab

Tremelimumab is a fully human immunoglobulin G (IgG)-2 monoclonal antibody targeting CTLA-4 [6] (Table 1 [4-16]). Tremelimumab provided durable responses in 6.6 % of patients in a phase II trial of patients with advanced melanoma, as compared with the objective response rates (ORRs) of 5.7 and 10.9 % seen in the phase III trial of ipilimumab with or without vaccine [4, 6]. However, the phase III trial of tremelimumab monotherapy failed to demonstrate a statistically significant survival advantage over chemotherapy in first-line treatment of patients with metastatic melanoma [21]. Patient selection criteria, dosing regimen, and use of ipilimumab as salvage therapy for patients in the control arm were potential reasons for the lack of survival benefit. Tremelimumab showed evidence of activity against previously treated malignant mesothelioma in a small (N = 29) phase II single-arm trial [36]. Four patients had partial responses, and 11 patients had stable disease of median duration 7.7 months (range 2.6–16.6+), with a median OS of 11.3 months. Based on these results, a phase II trial of tremelimumab in malignant mesothelioma has been initiated (Table 3 [16]).

Safety of CTLA-4 Inhibitors

The cumulative safety data across many trials show that agents that inhibit CTLA-4 are generally safe, with unique, but usually manageable, side effects that are linked to their mechanism of stimulating immune responses. Multiple phase II and III trials have characterized these immune-related adverse events (irAEs) of CTLA-4 inhibition. Overall, irAEs were observed in 58–63 % of patients treated with ipilimumab, with 5–26 % of patients experiencing grade 3/4 irAEs [4, 17, 37] (Table 4 [4, 7, 8, 12–14, 17, 21, 23, 26, 28, 36, 38–40]). In the phase III trial investigating ipilimumab treatment with or without vaccine, skin-related irAEs (including pruritus, rash, and erythema) and gastrointestinal irAEs (including diarrhea and colitis) were the most common, occurring in 29–44 % of patients; endocrine disorders were reported in 4–8 % of patients [4]. Some of the more rare adverse events (AEs) (≤1 % for each) reported during treatment with ipilimumab include uveitis, conjunctivitis, and neuropathy [37]. Interestingly, when ipilimumab was given with dacarbazine, immune-mediated grade 3/4 hepatitis occurred in 32 % of patients, while the rates of gastrointestinal events, such as colitis, were lower than expected based on previous trials [5]. As adjuvant therapy, ipilimumab had a safety profile generally consistent with that seen in patients with advanced melanoma, although the incidence of some irAEs (e.g. endocrinopathies) was higher. Also, five patients (1 %) in the ipilimumab arm died due to treatment-related AEs versus 0 patients in the placebo group [34]. Tremelimumab has a similar irAE profile to ipilimumab. The most common irAEs with tremelimumab were gastrointestinal (18 % grade 3–5), dermatologic (rash 33 % all grades, 2 % grade 3–5), and endocrine (thyroid/panhypopituitarism/adrenal insufficiency 7 %) in nature [21] (Table 4 [4, 7, 8, 12–14, 17, 21, 23, 26, 28, 36, 38–40]).
Table 4

Preliminary safety data of CTLA-4, PD-1, and PD-L1 targeting agentsa [4, 7, 8, 12–14, 17, 21, 23, 26, 28, 36, 38–40]

Agent nameSettingPhaseDosing/descriptionPatients (N)Treatment-related AEsGrade 3/4 treatment-related AEsPotential immune-related AEsb
Anti-CTLA-4 agents
 Ipilimumab [4]Unresectable stage III or IV melanomaIII3 mg/kg q3w, for up to 4 doses13180 % (n = 105), including fatigue 42 %, nausea 35 %, diarrhea 33 %, decreased appetite 27 %, vomiting 24 %, constipation 21 %; 4 TRD

Grade 3: 19 % (n = 25), including fatigue 7 %, diarrhea 5 %, dyspnea 3 %, anemia 3 %

Grade 4: 4 % (n = 5), including dyspnea 1 %

Any grade: 61 % (n = 80), including diarrhea 28 %, pruritus 24 %, rash 19 %, colitis 8 %, endocrine disorders 8 %

Grade 3: 12 % (n = 16), including diarrhea 5 %, colitis 5 %, endocrine disorders 2 %

Grade 4: 2 % (n = 3)

 Ipilimumab [17]mCRPC with bone metastasisIII10 mg/kg q3w, for up to 4 doses, after radiotherapy39375 % (n = 295); 4 TRDND

Any grade: 63 % (n = 249)

Grade 3/4: 26 % (n = 101)

 Tremelimumab [21]Treatment-naïve, unresectable stage IIIc or IV melanomaIII15 mg/kg once q90d325All causec: 96 % (n = 312), including diarrhea 51 %, nausea 34 %, fatigue 33 %, rash 33 %, pruritus 31 %, vomiting 23 %, decreased appetite 21 %; 7 TRD

All causeb:

52 % (n = 170), including diarrhea 18 %, fatigue 6 %, nausea 4 %, vomiting 4 %, decreased appetite 4 %, abdominal pain 4 %

Any grade AEs included thyroid disorders 5 %, ocular disorders 4 %, hypothalamus and pituitary disorders 2 %

Grade 3/4:

1 % each for thyroid disorders, hypothalamus and pituitary disorders, adrenal insufficiency, hepatitis, pancreatitis

 Tremelimumab [36]CTX-resistant advanced malignant mesotheliomaII10 mg/kg once q90d29Grade 1/2: 90 % (n = 26), including GI AEs 66 %, dermatologic AEs 48 %, fever 34 %3 % (n = 1)None reportedd
Anti-PD-1 agents
 Pembrolizumab [7]Advanced melanomaI10 mg/kg q2/3w, or 2 mg/kg q3w41183 % (n = 341), including fatigue 36 %, pruritus 24 %, rash 20 %, diarrhea 16 %, arthralgia 16 %, nausea 12 %, vitiligo 11 %12 % (n = 51), including fatigue 2 %; all others <1 %

Any grade hypothyroidism 8 %, pneumonitis 3 %, hyperthyroidism 1%, colitis <1 %, hepatitis <1 %

Individual grade 3–4 events each occurred in <1 %

 Pembrolizumab [26]NSCLC previously treated with ≥1 systemic regimensI10 mg/kg q2/3w21764 %, including fatigue 20 %, arthralgia 9 %, decreased appetite 9 %, pruritus 8 %, diarrhea 7 %10 %, including fatigue, arthralgia, nausea, each <1 %

Any grade rash 6 % and hypothyroidism 5 %

Grade 3–4 pneumonitis: 2 % (n = 4)

Grade 3–4 arthralgia, neck pain, pneumonitis 2 % (n = 4)

 Nivolumab [8]Advanced or recurrent malignanciesI0.1–10 mg/kg every 2 weeks, maximum of 12 cycles (4 doses per 8-week cycle)29670 % (n = 207), including fatigue 24 %, nausea 8 %, decreased appetite 8 %14 % (n = 41), including fatigue 2 %, abdominal pain 1 %, hypophosphatemia 1 %, lymphopenia 1 %

All grades: 41 % (n = 122), including rash 12 %, diarrhea 11 %, pruritus 9 %, pneumonitis 3 %, vitiligo 3 %, infusion-related AEs 3 %, increased TSH 3 %

Grade 3/4: 6 % (n = 18), including pneumonitis 1 %, diarrhea 1 %, increased AST 1 %, increased ALT 1 %, 3 deaths from pneumonitis 1 %

 Nivolumab [28]Advanced NSCLC (subset analysis)I1–10 mg/kg q2w maximum of 12 cycles (4 doses per 8-week cycle)129ND, including fatigue 24 %, decreased appetite 12 %, diarrhea 10 %14 %

All grades: 41 % (n = 53) including skin 16 %, GI 12 %, pulmonary 7 %, endocrinopathies 6 %

Grade 3/4: 5 % (n = 6), including pneumonitis, 3 % (n = 4), GI, hepatic, and infusion reaction 1 %, (n = 1, each); 3 deaths from pneumonitis

 Nivolumab [38]Advanced melanoma (subset analysis)I1–10 mg/kg q2w for a maximum of 12 cycles (4 doses per 8-week cycle)10784 % (n = 90), including fatigue 32 %, rash 23 %, diarrhea 18 %22 %, including lymphopenia 3 %, fatigue 2 %, diarrhea 2 %, abdominal pain 2 %

Any grade: 54 % (n = 58), including skin 36 %, GI 18 %, endocrinopathies 13 %, hepatic 7 %, infusion reaction 6 %, pulmonary 4 %, and renal 2 %

Grade 3/4: 5 % (n = 5), including GI and endocrinopathies 2 % each, and hepatic and renal 1 % each

 Nivolumab [33]mRCCII0.3, 2.0, or 10 mg/kg q3w16867–78 %e, including fatigue 22–35 %, hypersensitivity 0–17 %, diarrhea 3–15 %, arthralgia 2–15 %, nausea 10–13%, rash 7–13%, pruritus 9–11%5–17 %e, including nausea, pruritus, arthralgia 0–2 % each

Any gradee: skin 22–28 %, hypersensitivity/infusion reaction 4–19 %, GI 5–15 %, endocrine 5–11 %, hepatic 3–7 %, pulmonary 4–7 %, renal 0–2 %

Grade 3/4e: skin 0–4 %, endocrine 0–4 %, hepatic 0–4 %, GI 0–2 %

 Pidilizumab [23]Stage IV progressing melanomaII1.5 or 6.0 mg/kg q2w up to 54 weeks10768 %, including fatigue 31 %, diarrhea 16 %, arthralgia 13 %, anemia 11 %, nausea 10 %, hyperglycemia 2 %4 %, including arthralgia 1 %, anemia 2 %Grade 3 appendicitis, grade 3 arthritis, grade 4 hepatitis and grade 3 pneumonitis 1 % each
Anti-PD-L1 agents
 MPDL3280A [39]Locally advanced or metastatic NSCLC (subset analysis)IDose escalation, 1–20 mg/kg q3w up to 1 year8566 % (n = 56), including fatigue 20 %, nausea 14 %, decreased appetite 12 %, dyspnea 9 %, diarrhea 8 %11 % (n = 9), including fatigue 2 %, nausea 1 %, dyspnea 1 %, vomiting 1 %1 case of grade 3/4 diabetes mellitus 1 %
 MPDL3280A [12]Metastatic urothelial bladder cancerI15 mg/kg q3w up to 1 year6857 % (n = 39), including decreased appetite 12 %, fatigue 12 %, nausea 12 %, pyrexia 9 %, asthenia 7 %4 % (n = 3), including asthenia 2 %No cases were reported
 BMS-936559 [13]Advanced or recurrent solid tumorsIDose escalation, 0.3–10 mg/kg q2w in 6-week cycles up to 16 cycles20761 % (n = 126), including fatigue 16 %, infusion reactions 10 %, rash 9 %, diarrhea 9 %, arthralgia 7 %9 % (n = 19), including fatigue 1 %, infusion-related AEs 1 %, lymphopenia 1 %

39 % (n = 81), including rash 7 %, hypothyroidism 3 %, hepatitis 1 %, one case each of sarcoidosis, endophthalmitis, diabetes mellitus, myasthenia gravis

Grade 3/4: 5 % (n = 10), including infusion reaction <1 %, adrenal insufficiency <1 %

 MEDI4736 [14]Advanced solid tumorsI10 mg/kg q2w up to 1 year34639 % (n = 135), including fatigue 13 %, rash/pruritus 9 %, vomiting 5 %, diarrhea 5 %6 % (n = 20), including fatigue 1 %, elevated AST/ALT 1 %, vomiting, hypothyroidism, hyperglycemia, rash/pruritus, all <1 %All grades: elevated AST/ALT 4 %, hypothyroidism 2 %, hyperthyroidism 1 %, pneumonitis 1 %, peripheral neuropathy 1 %

AE adverse event, ALT alanine aminotransferase, AST aspartate aminotransferase, CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, CTX chemotherapy, GI gastrointestinal, mCRPC metastatic castration-resistant prostate cancer, mRCC metastatic renal cell carcinoma, ND no data, NSCLC non-small cell lung cancer, PD-1 programmed death-1, PD-L1 programmed death ligand 1, qxd every x days, qxw every x weeks, TRD treatment-related deaths, TSH thyroid stimulating hormone

aMonotherapy trials in solid tumors were included

bAs determined by the investigator

cTreatment-related AEs not available

dAt 15 mg/kg the following immune-related AEs were reported: Grade 3 colitis or diarrhea: 7 % (n = 2); Grade 3 Guillain-Barré-like peripheral neuropathy: 3 % (n = 1); Grade 4 increases in transaminases and pancreatic enzymes: 3 % (n = 1) [40]

eDepending on dose

Preliminary safety data of CTLA-4, PD-1, and PD-L1 targeting agentsa [4, 7, 8, 12–14, 17, 21, 23, 26, 28, 36, 38–40] Grade 3: 19 % (n = 25), including fatigue 7 %, diarrhea 5 %, dyspnea 3 %, anemia 3 % Grade 4: 4 % (n = 5), including dyspnea 1 % Any grade: 61 % (n = 80), including diarrhea 28 %, pruritus 24 %, rash 19 %, colitis 8 %, endocrine disorders 8 % Grade 3: 12 % (n = 16), including diarrhea 5 %, colitis 5 %, endocrine disorders 2 % Grade 4: 2 % (n = 3) Any grade: 63 % (n = 249) Grade 3/4: 26 % (n = 101) All causeb: 52 % (n = 170), including diarrhea 18 %, fatigue 6 %, nausea 4 %, vomiting 4 %, decreased appetite 4 %, abdominal pain 4 % Any grade AEs included thyroid disorders 5 %, ocular disorders 4 %, hypothalamus and pituitary disorders 2 % Grade 3/4: 1 % each for thyroid disorders, hypothalamus and pituitary disorders, adrenal insufficiency, hepatitis, pancreatitis Any grade hypothyroidism 8 %, pneumonitis 3 %, hyperthyroidism 1%, colitis <1 %, hepatitis <1 % Individual grade 3–4 events each occurred in <1 % Any grade rash 6 % and hypothyroidism 5 % Grade 3–4 pneumonitis: 2 % (n = 4) Grade 3–4 arthralgia, neck pain, pneumonitis 2 % (n = 4) All grades: 41 % (n = 122), including rash 12 %, diarrhea 11 %, pruritus 9 %, pneumonitis 3 %, vitiligo 3 %, infusion-related AEs 3 %, increased TSH 3 % Grade 3/4: 6 % (n = 18), including pneumonitis 1 %, diarrhea 1 %, increased AST 1 %, increased ALT 1 %, 3 deaths from pneumonitis 1 % All grades: 41 % (n = 53) including skin 16 %, GI 12 %, pulmonary 7 %, endocrinopathies 6 % Grade 3/4: 5 % (n = 6), including pneumonitis, 3 % (n = 4), GI, hepatic, and infusion reaction 1 %, (n = 1, each); 3 deaths from pneumonitis Any grade: 54 % (n = 58), including skin 36 %, GI 18 %, endocrinopathies 13 %, hepatic 7 %, infusion reaction 6 %, pulmonary 4 %, and renal 2 % Grade 3/4: 5 % (n = 5), including GI and endocrinopathies 2 % each, and hepatic and renal 1 % each Any gradee: skin 22–28 %, hypersensitivity/infusion reaction 4–19 %, GI 5–15 %, endocrine 5–11 %, hepatic 3–7 %, pulmonary 4–7 %, renal 0–2 % Grade 3/4e: skin 0–4 %, endocrine 0–4 %, hepatic 0–4 %, GI 0–2 % 39 % (n = 81), including rash 7 %, hypothyroidism 3 %, hepatitis 1 %, one case each of sarcoidosis, endophthalmitis, diabetes mellitus, myasthenia gravis Grade 3/4: 5 % (n = 10), including infusion reaction <1 %, adrenal insufficiency <1 % AE adverse event, ALT alanine aminotransferase, AST aspartate aminotransferase, CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, CTX chemotherapy, GI gastrointestinal, mCRPC metastatic castration-resistant prostate cancer, mRCC metastatic renal cell carcinoma, ND no data, NSCLC non-small cell lung cancer, PD-1 programmed death-1, PD-L1 programmed death ligand 1, qxd every x days, qxw every x weeks, TRD treatment-related deaths, TSH thyroid stimulating hormone aMonotherapy trials in solid tumors were included bAs determined by the investigator cTreatment-related AEs not available dAt 15 mg/kg the following immune-related AEs were reported: Grade 3 colitis or diarrhea: 7 % (n = 2); Grade 3 Guillain-Barré-like peripheral neuropathy: 3 % (n = 1); Grade 4 increases in transaminases and pancreatic enzymes: 3 % (n = 1) [40] eDepending on dose irAEs for CTLA-4 inhibitors tend to occur during the induction period or first 12 weeks of therapy, but, in rare cases, can occur in the weeks and even months following discontinuation of therapy [37]. Grade 2 irAEs are usually responsive to interruption of therapy and institution of low-dose steroids (0.5 mg/kg/day of prednisone), and grade 3 and higher irAEs are generally responsive to high-dose steroids (1–2 mg/kg/day of prednisone or equivalent), although the steroid-refractory patients (reported as 2–8 % of patients) [20, 41] may require the use of alternate immunosuppressive agents, such as infliximab (5 mg/kg) once every 2 weeks until symptom resolution, followed by a prolonged steroid taper [42]. Prompt recognition, management, and monitoring of grade 2 and higher irAEs are critical for the successful resolution of these toxicities, although such events can often take weeks to months to return to baseline. Algorithms for the management of irAEs with ipilimumab have been published by Fecher et al. [37]. Unfortunately, prophylactic steroids and other preventive strategies to avoid irAEs have not shown clinical benefit to date [37]. An interesting and consistent observation is that a higher incidence of irAEs, particularly grade 3/4 irAEs, has been associated with a higher proportion of patients eventually achieving an objective response [43]. However, as grade 3/4 irAEs can be life threatening, it is recommended that patients experiencing severe irAEs discontinue ipilimumab [20, 37].

Programmed Death-1 (PD-1) and Programmed Death Ligand 1 (PD-L1)

PD-1 (CD279) is also a co-inhibitory molecule that plays an important role in the balance of tumor immunity and inflammatory reactions [3, 44]. However, in contrast to CTLA-4, PD-1 appears to play a greater role in limiting and modulating the activity of T cells in peripheral tissues and organs during inflammatory responses in an effort to prevent host tissue damage. PD-1 expression is induced on activated T cells, and the interaction between PD-1 and one of its ligands—typically PD-L1 (B7-H1, CD274) or PD-L2 (B7-DC, CD273)—on the surface of tumors leads to a diminished antitumor response and has been associated with a poorer patient outcome [44]. High levels of PD-1 expression on antigen-experienced CD8+ T cells are associated with the loss of effector functions, including the ability of T cells to proliferate and express interleukin (IL)-2, tumor necrosis factor (TNF)-α, and interferon (IFN)-γ—a process termed T-cell ‘exhaustion’ or ‘tolerance’. In this state, tumor-infiltrating lymphocytes become tolerant and are less capable of carrying out antitumor immune responses as a result of chronic antigen exposure and prolonged negative immune regulation. While both CTLA-4 and PD-1 are immune checkpoint inhibitors, CTLA-4 is thought to act earlier in the process of T-cell activation, whereas PD-1 plays a role in attenuating T-cell responses later in the process, after T cells have migrated to the tumor microenvironment [44] (Fig. 2).
Fig. 2

Inhibiting the CTLA-4 and PD-1 immune checkpoint pathways to restore antitumor immune responses. In peripheral lymphoid organs and tissues, anti-CTLA-4 antibodies block CTLA-4 from binding CD80/86 on APCs and prevent T-cell inhibition. In the tumor microenvironment, PD-L1 and/or PD-L2 expression inhibits PD-1-expressing T cells. Interruption of PD-1:PD-L1 and PD-1:PD-L2 binding by anti-PD-1 antibodies or interruption of PD-1:PD-L1 binding by anti-PD-L1 antibodies restores T-cell immune responses. APC antigen-presenting cell, CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, MHC major histocompatibility complex, PD-1 programmed death-1, PD-L1 programmed death ligand 1, PD-L2 programmed death ligand 2, TCR T-cell receptor

Inhibiting the CTLA-4 and PD-1 immune checkpoint pathways to restore antitumor immune responses. In peripheral lymphoid organs and tissues, anti-CTLA-4 antibodies block CTLA-4 from binding CD80/86 on APCs and prevent T-cell inhibition. In the tumor microenvironment, PD-L1 and/or PD-L2 expression inhibits PD-1-expressing T cells. Interruption of PD-1:PD-L1 and PD-1:PD-L2 binding by anti-PD-1 antibodies or interruption of PD-1:PD-L1 binding by anti-PD-L1 antibodies restores T-cell immune responses. APC antigen-presenting cell, CTLA-4 cytotoxic T-lymphocyte-associated antigen 4, MHC major histocompatibility complex, PD-1 programmed death-1, PD-L1 programmed death ligand 1, PD-L2 programmed death ligand 2, TCR T-cell receptor Given these observations, both PD-1 and PD-L1 antibody blockade may be a promising target for cancer immunotherapy (Fig. 2) [3, 45]. Anti-PD-1 antibodies are designed to inhibit PD-1 from engaging with any of its ligands, thereby preventing both PD-1:PD-L1 and PD-1:PD-L2 binding. In contrast, anti-PD-L1 agents prevent PD-1:PD-L1 binding, but not necessarily PD-1:PD-L2 binding. There is evidence that PD-L1 may bind CD80 (B7-1) on T cells, leading to a down-regulatory signal; hence, anti-PD-L1 could inhibit this interaction as well [3, 44]. Given the current understanding that PD-1:PD-L1 interactions are a predominant mechanism of tumor immune evasion, whether agents targeting PD-1 versus PD-L1 will have different clinical profiles is unknown. To date, all data reported for PD-1 pathway inhibitors have been in phase I or II studies without control arms. The ongoing phase II and III trials that include control arms should provide data with greater context. Table 2 lists PFS and OS data from historical controls and studies where these data were available. However, as the studies differ greatly in terms of patient characteristics, study sizes, and length of follow-up, direct comparisons should be made with great caution.

Efficacy with PD-1 Inhibitors

Pembrolizumab (MK-3475)

Pembrolizumab (MK-3475) is a humanized IgG4 monoclonal antibody against PD-1 [7] (Table 1 [4-16]). A phase I study, including expansion cohorts, evaluated pembrolizumab treatment in patients with advanced melanoma who had previously received or not received ipilimumab [7]. The overall response rate across all doses was 34 %; 88 % of responses were ongoing at the time of analysis and the median duration of response had not been reached. Prior treatment with immunotherapy, including ipilimumab and IL-2, did not preclude activity of pembrolizumab, nor were higher rates of AEs observed in patients who had received previous immunotherapy compared with those who had not. Preliminary survival data of pembrolizumab and other PD-1 pathway agents is listed in Table 2 [4, 5, 7, 18, 19, 21–33]. Pembrolizumab was also investigated in a phase I study in patients with previously treated NSCLC [25, 26]. Interim data analysis revealed that, in a cohort of 217 patients with NSCLC, the ORR was 18 % based on immune-related response criteria (irRC), and the median OS was 51 weeks. irRC have been used primarily to assess responses in patients with melanoma, and have not been validated in other cancers [46]. Responses were seen in patients with non-squamous and squamous histology, and in current/former and never smokers. [25, 26]. As a first-line therapy for NSCLC, pembrolizumab reported preliminary ORRs of 47 % by irRC. Median PFS was 27 weeks (Response Evaluation Criteria in Solid Tumors [RECIST]) and 37 weeks (irRC) [27]. Pembrolizumab also showed antitumor activity in patients with head and neck cancer in a phase I study [47]. Responses were seen in 20 % (11/56) of evaluable patients, which included human papillomavirus-positive and -negative tumors (Table 3 [16]).

Nivolumab

Nivolumab (BMS-936558) is a fully human IgG4 PD-1 immune checkpoint inhibitor [8] (Table 1 [4-16]). A phase I, dose-escalating study in multiple tumor types reported objective responses with nivolumab in a substantial portion of patients with melanoma, NSCLC, or renal cell carcinoma (RCC), but no objective responses in patients with colorectal cancer (CRC) or CRPC [8]. In patients with melanoma treated with nivolumab across all doses in the phase I trial, the ORR was 32 % and the median duration of response was 99 weeks. The median OS was 17.3 months and 1-, 2-, and 3-year survival rates were 63, 48, and 41 %, respectively [22] (Table 2 [4, 5, 7, 18, 19, 21–33]). In the phase I trial among patients with NSCLC and across all doses, the ORR was 17 % (22/129), the estimated median response duration was 74 weeks, and overall 1- and 2-year survival rates were 42 and 24 %, respectively [28]. Ongoing trials are evaluating nivolumab alone or in combination with chemotherapy, erlotinib, or ipilimumab in patients with chemotherapy-naïve NSCLC, and have reported initial evidence of antitumor activity [29, 48–50]. With first-line nivolumab monotherapy in a phase I trial, the initial ORR was 30 %, median PFS was 36.1 weeks, and median OS was not reached (range 13.3–89.1+) in 20 evaluable patients. The 1-year OS rate was 75 % [29]. In phase II study in patients with previously-treated RCC, the overall response rate was 21 % (35/168), with the majority of responses lasting >1 year [33]. Across the evaluated doses, the PFS ranged from 2.7 to 4.2 months, and the median OS ranged from 18.2 to 24.7 months. The survival rate was approximately 35 % at 2.5 years [33] (Table 2 [4, 5, 7, 18, 19, 21–33]). Phase II and III trials of nivolumab are ongoing in melanoma, NSCLC, RCC, and squamous head and neck cancer (Table 3 [16]).

Pidilizumab (CT-011)

Pidilizumab (CT-011) is a humanized anti-PD-1 IgG1 monoclonal antibody [9] (Table 1 [4-16]). Pidilizumab was evaluated in patients with stage IV melanoma in a phase II open-label study. The ORR using irRC was 6 %, the median PFS was 1.9 months, and the 1-year survival rate was 65 % [23] (Table 2 [4, 5, 7, 18, 19, 21–33]). Pidilizumab has also shown evidence of efficacy in patients with hematologic malignancies [51]. Separately, pidilizumab after autologous hematopoietic stem-cell transplantation (AHSCT) was evaluated in a phase II trial in patients with diffuse large B-cell lymphoma (DLBCL) or primary mediastinal large B-cell lymphoma [9]. A total of 66 patients completed all treatment cycles, and PFS at 16 months from the start of treatment was 72 %. This compares favorably with the PFS rate at 18 months of 52 % in a historical group of patients with DLBCL with similar characteristics (i.e., would have met the eligibility criteria for the study, including no progression or relapse within 2 months of AHSCT) who had received high-dose chemotherapy followed by AHSCT [9, 52]. Among the 35 patients with measurable disease after transplant, the overall response rate with pidilizumab treatment was 51 %, and the complete remission rate was 34 % [9].

AMP-224

AMP-224 is a recombinant fusion protein comprising the extracellular domain of PD-L2 and the Fc region of human IgG [10] (Table 1 [4-16]). This agent is designed to bind PD-1, and preclinical studies suggest its mechanism of action may differ from monoclonal antibody blockade. A phase I trial evaluating the safety of AMP-224 in patients with advanced cancer is ongoing (NCT01352884) [53]. Infusion reactions were common, occurring in 69 % of patients across dose cohorts. It is unclear whether this study is moving forward, as a high rate of infusion reactions and lack of efficacy have been observed compared with other PD-1 inhibitors.

Safety of PD-1 Inhibitors

While no head-to-head trials have been conducted, the safety profiles of the anti-PD-1 agents seem to be generally similar. In the largest and most mature studies of pembrolizumab and nivolumab, grade 3/4 treatment-related AEs were reported in 10–22 % of patients [7, 8, 26, 38]. The most common treatment-related AE was fatigue in all studies (20–36 % all grades, 2 % grade 3/4). Potential immune-related select AEs were also commonly reported: dermatologic toxicities (pruritus ≤24 % all grades, <1 % grade 3/4; rash 6–20 % all grades, <1 % grade 3/4; vitiligo ≤11 % all grades, 0 % grade 3/4), gastrointestinal toxicities (diarrhea 7–16 % all grades, ≤1 % grade 3/4; nausea 6–12 % all grades, <1 % grade 3/4), and endocrinopathies (hypothyroidism 2–8 % all grades, <1 % grade 3/4; hyperthyroidism 1–2 % all grades, <1 % grade 3/4). Arthralgia (all grades) was reported in 4–16 % of patients, and grade 3/4 in <1 %. Pneumonitis of all grades was noted in 3 % of pembrolizumab- or nivolumab-treated patients, with ≤1 % of patients developing grade 3/4 pneumonitis. Although rare, three deaths due to pneumonitis in nivolumab-treated patients are concerning. Nivolumab or pembrolizumab in patients who had received prior ipilimumab showed similar safety profiles to those of ipilimumab-naïve patients, supporting the sequential use of these therapies [54, 55].

Efficacy with PD-L1 Inhibitors

MPDL3280A

MPDL3280A is a human anti-PD-L1 monoclonal antibody [11, 12] (Table 1 [4-16]). MPDL3280A is being assessed in a dose-ranging phase I study in patients with multiple tumor types. Interim results from 53 evaluable patients with NSCLC revealed an ORR of 23 % in patients across squamous and non-squamous histologies, including several patients with rapid tumor shrinkage [39]. Some patients (not included in the ORR) had delayed responses after apparent radiographic progression. Most responses were ongoing at the time of analysis. The ORR in patients with RCC was 13 %; durable responses were seen in patients with clear cell and non-clear cell disease [11]. In patients with urothelial bladder cancer, the ORR was 25 % (17/67) [12]. Phase II and III trials evaluating MPDL3280A in advanced lung cancer, advanced RCC, and urothelial bladder cancer are ongoing (Table 3 [16]).

BMS-936559

BMS-936559 is a fully human IgG4 monoclonal antibody directed against PD-L1 [13] (Table 1 [4-16]). The safety and activity of BMS-936559 was assessed in a phase I dose-escalating study in patients with advanced solid tumors [13]. Clinical activity was observed in patients with melanoma, NSCLC, RCC, CRC, ovarian, or pancreatic cancer, but not for patients with gastric or breast cancer. ORRs for patients with melanoma, NSCLC, RCC, and ovarian cancer were 17, 10, 12, and 6 %, respectively, and responses lasted for ≥1 year in 8 of 16 patients with at least 1 year of follow-up. No additional trials of BMS-936559 are currently listed in ClinicalTrials.gov [16].

MEDI4736

MEDI4736 is a human IgG1 monoclonal antibody that binds PD-L1 [14] (Table 1 [4-16]). MEDI4736 is being investigated in multiple tumor types, including melanoma, NSCLC, squamous head and neck cancer, and pancreatic cancer in a phase I trial. A preliminary analysis reported ORRs of 13 % (6/47) in patients with NSCLC and 14 % (3/22) in patients with squamous head and neck cancer, and evidence of activity against pancreatic and gastroesophageal cancer [14]. Numerous studies of MEDI4736 are planned or ongoing in patients with NSCLC or other malignancies (Table 3 [16]).

Safety of PD-L1 Inhibitors

The types of AEs reported with PD-L1 agents seem similar to those targeting PD-1, but the incidence of AEs appears to be lower. The reported rate of grade 3/4 treatment-related AEs across studies and tumor types ranged from 4 to 13 % [11–14, 39]. Fatigue (12–20 % all grades, 0–2 % grade 3/4), gastrointestinal AEs (diarrhea 5–9 % all grades, 0 % grade 3/4; nausea 6–14 % all grades, 0–1 % grade 3/4), dermatologic AEs (rash 7–9 % all grades, <1 % grade 3/4; pruritus 6 % all grades, <1 % grade 3/4), and endocrinopathies (hypothyroidism 2–3 % all grades, <1 % grade 3/4) were the most common. BMS-936559 had a higher reported rate of infusion-related reactions (10 % all grades, ≤1 % grade 3/4) and arthralgia (7 % all grades, 0 % grade 3/4) than other PD-L1-targeting agents [13] (Table 4 [4, 7, 8, 12–14, 17, 21, 23, 26, 28, 36, 38–40]).

PD-L1 as a Predictive Biomarker

Emerging evidence suggests that PD-L1 expression on pre-treatment tumor specimens may be a predictive biomarker of efficacy with PD-1 pathway inhibitors. Across agents, studies, and tumor types, antitumor activity was generally higher against PD-L1-positive tumors versus tumors with low or negative staining for PD-L1 (Table 5 [11, 12, 14, 22, 28, 29, 39, 56–59]). However, the methodology, amount of staining (or ‘cut-off’) required to qualify as a PD-L1-positive tumor and timing of sample collection (archival or immediately pre-treatment) varied across studies. Thus, while these preliminary findings are encouraging, data on tumor PD-L1 expression as a potential predictive biomarker are evolving, and prospective validation will be needed.
Table 5

PD-L1 expression and association with clinical activity [11, 12, 14, 22, 28, 29, 39, 56–59]

AgentSettingCut-off for PD-L1+a ORR in pts with PD-L1+ tumors, % (n/N)ORR in pts with PD-L1-low/negative tumors, % (n/N)Median PFS in pts with PD-L1+ tumorsMedian PFS in pts with PD-L1 low/negative tumorsReference(s)
PembrolizumabAdvanced melanoma≥1 %b 51 (ND)6 (ND)12 months3 months[56]
PembrolizumabAdvanced NSCLC≥50 %b 37 (15/41)11 (10/88)14.0 weeks9.3 weeks[57]
NivolumabPreviously-treated melanoma≥5 %b 44 (8/18)13 (3/23)9 months2 months[22]
NivolumabPreviously-treated NSCLC≥5 %b 15 (5/33)14 (5/35)3.6 months1.8 months[28]
NivolumabCTX-naïve NSCLC≥5 %b 50 (5/10)0 (0/7)45.6 weeks36.1 weeks[29]
NivolumabRCC≥5 %b 22 (4/18)8 (3/38)NDND[58]
MPDL3280APreviously-treated NSCLCScore = 3 (highly positive)c 83 (5/6)20 (4/20)NDND[39, 59]
MPDL3280ARCCPositive stainingc 20 (2/10)10 (2/21)NDND[11, 59]
MPDL3280AUrothelial bladder cancer≥5 %d 43 (ND)11 (ND)NDND[12]
MEDI4736NSCLCUndefined39 (5/13)5 (1/19)NDND[14]
MEDI4736Head and neck cancerUndefined50 (2/4)6 (1/16)NDND[14]

CTX chemotherapy, ND no data, NSCLC non-small cell lung cancer, RCC renal cell carcinoma, PD-L1 programmed death ligand 1, pts patients

aAmount of staining required to qualify as a PD-L1+ tumor

bMembrane staining of tumor cells

cStaining of tumor-infiltrating immune cells; amount of staining to qualify as a PD-L1+ tumor was not defined

dStaining of tumor-infiltrating immune cells

PD-L1 expression and association with clinical activity [11, 12, 14, 22, 28, 29, 39, 56–59] CTX chemotherapy, ND no data, NSCLC non-small cell lung cancer, RCC renal cell carcinoma, PD-L1 programmed death ligand 1, pts patients aAmount of staining required to qualify as a PD-L1+ tumor bMembrane staining of tumor cells cStaining of tumor-infiltrating immune cells; amount of staining to qualify as a PD-L1+ tumor was not defined dStaining of tumor-infiltrating immune cells

Immunotherapy Clinical Response Patterns

Across the various immunotherapy clinical development programs, investigators have observed response patterns that sometimes differ from the conventional responses observed with cytotoxic agents. Standard response criteria may not capture or adequately describe the responses produced by novel immunotherapy; thus, clinical trials may not always capture the full clinical benefit to patients who receive immunotherapy. To better characterize this pattern of response, new irRC were created that accounted for antitumor response based on total measurable tumor burden as measured by the sum of index lesions and new measurable lesions [46]. Time point response assessment was also incorporated into the criteria, as two observations at least 4 weeks apart were necessary to help distinguish progression from ‘pseudoprogression’, in which there is an initial increase in tumor size followed by tumor shrinkage. The differences between World Health Organization (WHO) criteria and the new irRC are listed in Table 6 [46].
Table 6

Comparison between WHO criteria and the irRC [46]

WHOirRC
New, measurable lesions (i.e., ≥5 × 5 mm)Always represent PDIncorporated into tumor burden
New, non-measurable lesions (i.e., <5 × 5 mm)Always represent PDDo not define progression (but preclude irCR)
Non-index lesionsChanges contribute to defining BOR of CR, PR, SD, and PDContribute to defining irCR (complete disappearance required)
CRDisappearance of all lesions in two consecutive observations not less than 4 weeks apartDisappearance of all lesions in two consecutive observations not less than 4 weeks apart
PR≥50 % decrease in SPD of all index lesions vs. baseline in two observations at least 4 weeks apart, in absence of new lesions or unequivocal progression of non-index lesions≥50 % decrease in tumor burden vs. baseline in two observations at least 4 weeks apart
SD50 % decrease in SPD vs. baseline cannot be established nor 25 % increase vs. nadir, in absence of new lesions or unequivocal progression of non-index lesions50 % decrease in tumor burden vs. baseline cannot be established nor 25 % increase vs. nadir
PDAt least 25 % increase in SPD vs. nadir and/or unequivocal progression of non-index lesions and/or appearance of new lesions (at any single time point)At least 25 % increase in tumor burden vs. nadir (at any single time point) in two consecutive observations at least 4 weeks apart

Reproduced with permission from Wolchok et al. [46]

BOR best overall response, CR complete response, irCR immune-related complete response, PD progressive disease, PR partial response, SD stable disease, SPD sum of the products of the two largest perpendicular diameters, WHO World Health Organization

Comparison between WHO criteria and the irRC [46] Reproduced with permission from Wolchok et al. [46] BOR best overall response, CR complete response, irCR immune-related complete response, PD progressive disease, PR partial response, SD stable disease, SPD sum of the products of the two largest perpendicular diameters, WHO World Health Organization It has also been determined that some of these new response patterns to immune therapies are associated with a favorable survival outcome and may include the following: Stable disease, which in some cases may be followed by slow and steady decline of tumor burden. Durable, stable disease lasting months or even years has been observed in some patients. Reduction after an initial increase in tumor burden; this observation has been associated with T-cell infiltration into the tumor, giving the appearance of progressive disease. Reduction in total tumor burden during or after the appearance of new lesions, possibly due to the unique mechanism of action of immunotherapy, as the activated immune system may take some time to mount an effective antitumor response. Time to response appears to be faster for agents that block PD-1 or PD-L1 compared with the many weeks it may take to observe tumor shrinkage in response to anti-CTLA-4 treatment [8, 13, 21, 38, 46]. Additionally, response rates in patients given anti-PD-1 or anti-PD-L1 treatment may be higher than in those receiving anti-CTLA-4, although head-to-head trial data are not yet available.

Other Immune Targets—Inhibitory and Stimulatory

In addition to CTLA-4 and PD-1, other classes of inhibitory and stimulatory molecules have potential to be used as anticancer immunotherapy. One inhibitory molecule that has drawn much attention recently is lymphocyte activation gene-3 (LAG-3), a CD4 homolog that binds to MHC class II molecules (Fig. 1). LAG-3 is expressed on activated CD4+ and CD8+ T cells, as well as B cells, natural killer cells, and tumor-infiltrating lymphocytes, and is thought to negatively regulate T-cell expansion by limiting T-cell activation. However, LAG-3 knockout mice do not develop overt autoimmunity, suggesting that it plays a more subtle role in regulating T-cell function than the checkpoint molecules CTLA-4 and PD-1 [3, 60]. While LAG-3 is another immune checkpoint that may be important in the immune response to cancer, blockade of this pathway has not been clinically evaluated to the same extent as the CTLA-4 and PD-1 pathways [3]. However, based on the success of other checkpoint molecules as targets for anticancer therapy, research is now ongoing to assess the possible clinical value of LAG-3 blockade. IMP321 is a soluble LAG-3 Ig fusion protein and MHC class II agonist (Table 1 [4-16]); it has been combined with gemcitabine in a phase I study in patients with advanced pancreatic adenocarcinoma [15]. IMP321 plus gemcitabine appears to be a well tolerated regimen that has not resulted in any serious AEs in patients to date; however, limited antitumor responses were attributed to the low doses of IMP321. A small study combining IMP321 and melanoma-associated antigen immunization in patients with melanoma is ongoing (NCT01308294). A variety of other molecules that similarly regulate T-cell activation, tolerance/exhaustion, anergy, and even T-cell death are currently being assessed as potential targets for anticancer therapy. One of these inhibitory molecules is T-cell immunoglobulin and mucin domain 3 (TIM3), which is a member of the TIM family (Fig. 1). TIM3 is expressed by IFN-γ-secreting helper T (TH1) cells, as well as dendritic cells, monocytes, and T cells [61]. When bound to its ligand, galectin-9, TIM3 induces TH1 cell death [62]. Studies of TIM3-deficient mice suggest that the TIM3 pathway inhibits the expansion and effector functions of TH1 cells and may be important for tolerance induction of TH1 cells [63]. Administration of a TIM3 fusion protein resulted in hyperproliferation of TH1 cells and inflammatory cytokine release, suggesting a ligand for TIM3 is also expressed by these cells. Glucocorticoid-induced TNF receptor-related gene (GITR) can provide a co-stimulatory signal to both CD4+- and CD8+-naïve T-cells, particularly when T-cell receptor stimulation is weak [64] (Fig. 1). T cells that do not express GITR are more prone to activation-induced cell death, suggesting that GITR-mediated stimulation may enhance the survival of activated T cells. Also, preclinical studies showed that agonist anti-GITR antibodies could reverse regulatory T-cell suppression of effector T cells. Data from murine models suggest that GITR blockade may be most effective when combined with melanoma vaccination strategies and not as monotherapy [65]. Currently, a phase I dose-escalation trial of an anti-GITR monoclonal antibody (TRX518) is recruiting patients with unresectable stage III or IV melanoma or other solid tumor malignancies (NCT01239134).

Combination Strategies

Despite promising results as monotherapies, there remains a clear need to increase the number of patients with malignancies that can benefit from immune checkpoint inhibitors. The increasing arsenal of targeted and immune-based therapies affords opportunities for sequencing and combination strategies to improve outcomes. Indeed, rapid and deep tumor regression was observed in a substantial number of patients when the CTLA-4 inhibitor, ipilimumab, was administered concurrently with nivolumab [24]. In this study, 42 % of patients had ≥80 % tumor reduction at 36 weeks, and 1- and 2-year survival rates were 85 and 79 %, respectively. Though the efficacy appeared to be increased as compared with either drug alone, so did the rate of AEs. The observed toxicities were similar to those reported with monotherapy, albeit with higher incidence, including 62 % of patients experiencing grade 3/4 AEs. Other anti-CTLA-4 plus anti-PD-1 trials are ongoing, as are trials exploring dual blockade of the PD-1 pathway (anti-PD-1 plus anti-PD-L1) [16]. Additional trials that are planned or have already entered the clinic include combinations of PD-1 pathway inhibitors with LAG-3, indolamine 2,3-dioxygenase 1 (IDO1), sipuleucel-T, or other vaccinations. Immune checkpoint inhibitor combinations with T-cell agonists (i.e., anti-CD40, anti-CD27, and anti-4-1BB) and with other immunostimulants (i.e., IFN, IL-21, and anti-killer immunoglobulin-like receptor [KIR]) are also underway. It has been postulated that targeted agents and/or cytotoxic chemotherapy that effectively destroy tumor cells may increase circulating tumor antigens and, therefore, increase the immunogenic response and utility of checkpoint inhibitors [35]. In fact, inhibition of mitogen-activated protein kinase with BRAF and/or MEK inhibitors in melanoma cells has been shown to modulate the functions of immune cells in preclinical studies [66]. While a phase I/II study (NCT01400451) evaluating the safety and efficacy of combining vemurafenib with ipilimumab recently closed due to hepatic toxicity, a phase II study of vemurafenib followed by sequential ipilimumab in patients with V600 BRAF-mutated melanoma is still ongoing. Initial reports from phase I trials combining nivolumab with vascular endothelial growth factor (VEGF)-targeted therapies (sunitinib or pazopanib) are currently under study to determine the best dose and schedule [67, 68]. A combination regimen of pidilizumab (3 mg/kg) plus rituximab (375 mg/m2) has also been investigated in a phase II trial in patients with relapsed follicular lymphoma. Of 29 patients evaluable for efficacy, 19 had an objective response (66 %), 15 had a complete response (52 %), and four had a partial response (14 %) [69]. Trials using ipilimumab combined with various cytotoxic chemotherapies, such as temozolomide plus doxycycline (NCT01590082) or fotemustine (NCT01654692) are underway in patients with metastatic melanoma, as are numerous trials of PD-1 pathway inhibitors plus chemotherapy or targeted agents [16]. Trials evaluating ipilimumab plus paclitaxel/carboplatin (NCT01165216) and pembrolizumab or nivolumab plus chemotherapy or targeted agents (NCT02039674; NCT01454102) have been started in patients with NSCLC. Details on ongoing phase II and III trials investigating combination regimens with immune checkpoint inhibitors are provided in Table 3 [16].

Conclusion

A better understanding of tumor immunology and immunotherapy, both at the bench and at the bedside, has led to a new and promising area of basic and clinical cancer research. Inhibitors of immune checkpoint regulators have in some cases led to deep and durable responses in patients with advanced malignancies. Many of the observed side effects are manageable and reversible following standard protocols. Lessons learned from CTLA-4 and PD-1 blockade, in both the laboratory and the clinic, not only provide the foundation for a future era of superior immune checkpoint inhibition, but also provide a nidus of questions that remain unanswered. Furthering Virchow’s initial observation and our understanding of the link between the immune system and malignancy, immune checkpoint inhibitors appear to offer new hope for cancer patients.
Immune checkpoint inhibitors are designed to interrupt inhibitory immune signals and restore immune responses against tumors.
Numerous immune checkpoint inhibitors are in advanced stages of development and show activity across multiple tumor types, including advanced melanoma and advanced non-small-cell lung cancer.
Understanding the mechanism-associated adverse events and response patterns is important to the management of patients as these drugs are moved into the clinical practice setting.
  37 in total

1.  Interaction of Tim-3 and Tim-3 ligand regulates T helper type 1 responses and induction of peripheral tolerance.

Authors:  Catherine A Sabatos; Sumone Chakravarti; Eugene Cha; Anna Schubart; Alberto Sánchez-Fueyo; Xin Xiao Zheng; Anthony J Coyle; Terry B Strom; Gordon J Freeman; Vijay K Kuchroo
Journal:  Nat Immunol       Date:  2003-10-12       Impact factor: 25.606

Review 2.  Immunological aspects of cancer chemotherapy.

Authors:  Laurence Zitvogel; Lionel Apetoh; François Ghiringhelli; Guido Kroemer
Journal:  Nat Rev Immunol       Date:  2008-01       Impact factor: 53.106

Review 3.  Intrinsic and extrinsic control of peripheral T-cell tolerance by costimulatory molecules of the CD28/ B7 family.

Authors:  Hélène Bour-Jordan; Jonathan H Esensten; Marc Martinez-Llordella; Cristina Penaranda; Melanie Stumpf; Jeffrey A Bluestone
Journal:  Immunol Rev       Date:  2011-05       Impact factor: 12.988

4.  Autoimmunity correlates with tumor regression in patients with metastatic melanoma treated with anti-cytotoxic T-lymphocyte antigen-4.

Authors:  Peter Attia; Giao Q Phan; Ajay V Maker; Michael R Robinson; Martha M Quezado; James C Yang; Richard M Sherry; Suzanne L Topalian; Udai S Kammula; Richard E Royal; Nicholas P Restifo; Leah R Haworth; Catherine Levy; Sharon A Mavroukakis; Geoff Nichol; Michael J Yellin; Steven A Rosenberg
Journal:  J Clin Oncol       Date:  2005-08-08       Impact factor: 44.544

5.  The Tim-3 ligand galectin-9 negatively regulates T helper type 1 immunity.

Authors:  Chen Zhu; Ana C Anderson; Anna Schubart; Huabao Xiong; Jaime Imitola; Samia J Khoury; Xin Xiao Zheng; Terry B Strom; Vijay K Kuchroo
Journal:  Nat Immunol       Date:  2005-11-13       Impact factor: 25.606

6.  Expression of lymphocyte activation gene 3 (LAG-3) on B cells is induced by T cells.

Authors:  Malgorzata Kisielow; Jan Kisielow; Giuseppina Capoferri-Sollami; Klaus Karjalainen
Journal:  Eur J Immunol       Date:  2005-07       Impact factor: 5.532

7.  Enterocolitis in patients with cancer after antibody blockade of cytotoxic T-lymphocyte-associated antigen 4.

Authors:  Kimberly E Beck; Joseph A Blansfield; Khoi Q Tran; Andrew L Feldman; Marybeth S Hughes; Richard E Royal; Udai S Kammula; Suzanne L Topalian; Richard M Sherry; David Kleiner; Martha Quezado; Israel Lowy; Michael Yellin; Steven A Rosenberg; James C Yang
Journal:  J Clin Oncol       Date:  2006-05-20       Impact factor: 44.544

8.  Dendritic cells engineered to secrete anti-GITR antibodies are effective adjuvants to dendritic cell-based immunotherapy.

Authors:  D Boczkowski; J Lee; S Pruitt; S Nair
Journal:  Cancer Gene Ther       Date:  2009-06-05       Impact factor: 5.987

9.  Phase I safety and pharmacokinetic study of CT-011, a humanized antibody interacting with PD-1, in patients with advanced hematologic malignancies.

Authors:  Raanan Berger; Rinat Rotem-Yehudar; Gideon Slama; Shimon Landes; Abraham Kneller; Merav Leiba; Maya Koren-Michowitz; Avichai Shimoni; Arnon Nagler
Journal:  Clin Cancer Res       Date:  2008-05-15       Impact factor: 12.531

Review 10.  Inhibitory B7-family molecules in the tumour microenvironment.

Authors:  Weiping Zou; Lieping Chen
Journal:  Nat Rev Immunol       Date:  2008-06       Impact factor: 53.106

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  34 in total

1.  Immune Checkpoint Blockade in Hepatocellular Carcinoma.

Authors:  M Kudo
Journal:  Liver Cancer       Date:  2015-10-15       Impact factor: 11.740

Review 2.  The role of the immune system in non-small cell lung carcinoma and potential for therapeutic intervention.

Authors:  Joanna Domagala-Kulawik
Journal:  Transl Lung Cancer Res       Date:  2015-04

3.  Pembrolizumab for the Treatment of Hepatocellular Carcinoma.

Authors:  Masatoshi Kudo
Journal:  Liver Cancer       Date:  2019-04-29       Impact factor: 11.740

4.  Immune Checkpoint Blockade in Hepatocellular Carcinoma: 2017 Update.

Authors:  M Kudo
Journal:  Liver Cancer       Date:  2016-11-29       Impact factor: 11.740

5.  Scientific Rationale for Combination Immunotherapy of Hepatocellular Carcinoma with Anti-PD-1/PD-L1 and Anti-CTLA-4 Antibodies.

Authors:  Masatoshi Kudo
Journal:  Liver Cancer       Date:  2019-09-27       Impact factor: 11.740

6.  Differential expression of immune related genes in high-grade ovarian serous carcinoma.

Authors:  Sharareh Siamakpour-Reihani; Lauren Patterson Cobb; Chen Jiang; Dadong Zhang; Rebecca A Previs; Kouros Owzar; Andrew B Nixon; Angeles Alvarez Secord
Journal:  Gynecol Oncol       Date:  2020-01-07       Impact factor: 5.482

7.  Identification, by systematic RNA sequencing, of novel candidate biomarkers and therapeutic targets in human soft tissue tumors.

Authors:  Anne E Sarver; Aaron L Sarver; Venugopal Thayanithy; Subbaya Subramanian
Journal:  Lab Invest       Date:  2015-06-29       Impact factor: 5.662

8.  Pembrolizumab-induced obstructive bronchiolitis in a patient with stage IV non-small-cell lung cancer.

Authors:  A Blanchard; N Bouchard
Journal:  Curr Oncol       Date:  2019-08-01       Impact factor: 3.677

Review 9.  Immune Checkpoint Inhibition for Triple-Negative Breast Cancer: Current Landscape and Future Perspectives.

Authors:  Huimei Yi; Ying Li; Yuan Tan; Shujun Fu; Faqing Tang; Xiyun Deng
Journal:  Front Oncol       Date:  2021-05-19       Impact factor: 6.244

Review 10.  Nivolumab: A Review in Advanced Melanoma.

Authors:  Lesley J Scott
Journal:  Drugs       Date:  2015-08       Impact factor: 9.546

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