Literature DB >> 28757801

PD-1 and PD-L1 as emerging therapeutic targets in gastric cancer: current evidence.

Phu N Tran1, Sarmen Sarkissian1, Joseph Chao2, Samuel J Klempner3,4.   

Abstract

Gastric adenocarcinoma is a leading cause of global cancer-related morbidity and mortality, and new therapeutic approaches are needed. Despite the improved outcomes with monoclonal antibodies targeting human epidermal growth factor receptor 2 and vascular endothelial growth factor receptor 2, durable responses are uncommon. Targeting immune checkpoints including PD-1, PD-L1 and CTLA-4 have led to improved survival across several tumor types, frequently characterized by prolonged benefit in responding patients. Tumoral and lymphocyte-derived immunohistochemical staining for PD-1, PD-L1, and tumor mutational burden have shown potential as predictive response biomarkers in several tumor types. Optimal incorporation of immune-mediated therapies into gastric cancer (GC) is an area of intense ongoing investigation and benefit has been demonstrated in smaller studies of advanced patients. Important questions of biomarker selection, roles for molecular characterization, optimal combinatorial approaches, and therapeutic sequencing remain. In this study, current data are reviewed for immune checkpoint inhibitors in GC, and putative biomarkers, ongoing trials, and future considerations are discussed.

Entities:  

Keywords:  checkpoint inhibitor; immunotherapy; nivolumab; pembrolizumab; stomach cancer; tumor mutational burden

Year:  2017        PMID: 28757801      PMCID: PMC5533281          DOI: 10.2147/GICTT.S113525

Source DB:  PubMed          Journal:  Gastrointest Cancer        ISSN: 1179-9919


Introduction

Recent global estimates rank gastric cancer (GC) as the fifth most frequently diagnosed cancer (952,000 cases) and the third leading cause of cancer-specific mortality with ~725,000 deaths worldwide.[1] There will be 26,370 estimated new cases of GC in the United States in 2016, with an estimated 10,370 deaths, highlighting the high mortality rate.[2] The 5-year survival for all stages is ~30% and <5% of stage IV patients are alive at 5 years.[2] Surgery, radiation, and cytotoxic therapies are the mainstays of locoregional disease, and approval of the biologic agents, trastuzumab and ramucirumab, expanded the armamentarium in advanced GC. The seminal ToGA trial demonstrated the efficacy of incorporating HER2-directed therapy (trastuzumab) in GC patients harboring HER2 overexpression and is now standard in this molecular subgroup.[3] Ramucirumab, a fully humanized IgG1 monoclonal anti-VEGR2 antibody, is approved in the second line (2L) setting based on improved survival in the REGARD and RAINBOW studies.[4,5] Absolute improvements remain short with a 2.7-month improvement in median overall survival (OS) for trastuzumab, 1.4 months in the REGARD trial, and 2.2 months in the RAINBOW trials, respectively.[4,5] Importantly, there are very few durable responses to current therapies, although prolonged benefit with trastuzumab in GC with high levels of HER2 amplification has been reported.[6] The potential of immune-mediated therapies in GC was suggested in early studies with the nonspecific potentiating agents picibanil (OK-432) and polysaccharide-K, an anticancer immunologic adjuvant, dating back to 1975.[7] More recently, the development of antibodies to immune checkpoints including PD-1, PD-L1, and CTLA-4 have led to a paradigm shift in cancer treatment and the US Food and Drug Administration approvals for nivolumab (Bistol-Myers Squibb; New York, NY, USA), pembrolizumab (Merck&Co.; Kenilworth, NJ, USA), ipilimumab (Ipi; Bristol-Myers Squibb), and atezolizumab (Genentech; San Francisco, CA, USA) across multiple tumor types.[8-18] RNA sequencing identified GC as a tumor type associated with local immune cytolytic properties further supporting checkpoint inhibitor investigation.[19] The present study reviews the current state of immunotherapy in GC with a focus on immune checkpoint inhibitors targeting PD-1 and PD-L1.

Cancer immunity cycle

Achieving the elimination of tumor cells (TCs) hinges on several key components of the cancer immunity cycle, recognition and stimulation, recruitment, expansion, and ultimately memory. Briefly, TC-derived neoantigens are captured by dendritic cells for processing and presented on major histocompatibility complex class I (MHCI) and class II molecules to T cells, culminating in effector T-cell priming and activation.[20] The delicate balance of effector and regulatory T cells determines the nature of the immune response. Once activated, the effector T cells (mainly CD8+) infiltrate the tumor microenvironment and interact with the cancer cells via T-cell receptor (TCR) and its antigen bound to MHCI, leading to cytolytic activity. The dying TC releases more neoantigens that potentially amplify and propagate further immune response. The binding of the T-cell surface receptor PD-1 to its cognate ligand PD-L1 (B7-H1) or PD-L2 (B7-DC) results in inhibition of T-cell effector function and decreased cytotoxic activity. The ubiq-uitous TCR CTLA-4 has nonoverlapping suppressive effects on antitumor immunity and is preferentially involved in the earlier immune response, primarily in lymphoid organs.[21] Understanding the nonoverlapping functions provided rationale for combination therapies in GC and other tumor types, although incorporation of CTLA-4 blockade is generally associated with increased immune-related adverse events (irAEs). Thus far, the greatest therapeutic success has been achieved by interfering with normal checkpoints, specifically the PD-1/PD-L1 axis, commonly co-opted by cancers.[20] A recent preclinical study demonstrated that phosphatidylinositol-4,5-bisphosphate 3-kinase gamma (PI3Kγ) is a molecular switch that controls immune suppression.[22] PI3Kγ inhibition synergized with anti-PD-1 to suppress the growth of human papillomavirus+ (HPV+) head and neck squamous cell carcinoma (HNSCC) tumors and to a lesser extent HPV−HNSCC tumors.[22] It remains to be seen whether the Epstein–Barr virus (EBV) positive and microsatellite instable (MSI-H) subtype of GC, which have high PIK3CA mutation frequencies, would derive clinical benefits from combined PI3K and PD-1 inhibitors, although there is some isoform specificity with PI3Kγ more commonly involved in immune cells (ICs) over somatic tumor mutations.[23]

GC genomics and immune profiling

Large-scale molecular characterization of GC by the Asian Cancer Research Group (ACRG) and The Cancer Genome Atlas (TCGA) has highlighted distinct molecular subgroups, with 4 types suggested by the TCGA analyses: EBV-associated, MSI-H, chromosomally instable, and a genomically stable group.[23, 24] The EBV subgroup is associated with amplification of the 9p24.1 locus, which harbors both the PD-L1 and PD-L2 genes. Proteomic studies and messenger RNA (mRNA) analyses confirmed expression of these 2 proteins was highly correlated with genomic amplification. PD-1 expression within tumor-infiltrating lymphocyte cells is observed in more than half of the EBV-positive gastric tumors.[25] The MSI-high group was associated with high DNA mutation burden as well as DNA hyper-methylation. EBV and MSI comprised 9% and 22% of the total, respectively, and immunohistochemical (IHC) studies revealed high PD-L1 staining in association with MSI-high and EBV-positive tumors.[25] The increased concentration of tumor-infiltrating lymphocytes and expression of PD-L1 provided another surrogate supporting the immunogenicity associated with MSI.[24,26] Colloquially these have been referred to as “hot” or inflamed tumors while poorly immunogenic tumors are described as “cold.” The “hot” tumors, in addition to exhibiting presence of cytotoxic T cells, also strongly express immune-inhibitory pathways, such as PD-L1, indoleamine-2,3-dioxygenase (IDO), and regulatory T cells.[27,28] These immune-inhibitory pathways counteract the effects of cytotoxic T cells. In contrast, the “cold” tumors that lack cytotoxic T-cell infiltration do not express immune-inhibitory molecules to the same degree and evade immune destruction partly by T-cell exclusion. These tumors do not express important chemokines (ie, CXCL9 and CXCL10) that recruit T cells to the tumor microenvironment.[27,29,30] Activation of the tumor-intrinsic Wnt/β-catenin pathway seems to directly impact T-cell exclusion in melanoma.[31] The TCGA and ACRG provide a framework for further studies on the intersection of genomics and immunotherapies in GC, and ongoing combinatorial approaches to convert cold tumors to hot may expand the proportion of GC patients for whom immunotherapy may improve outcomes. Furthermore, emerging evidence suggests that there are racial and geographical variations of tumor-immune signatures, which may predict response to immunotherapy. GCs from non-Asian patients were associated with enrichment of tumor-infiltrating lymphocytes and high T-cell gene-expression signatures, such as CTLA-4 signaling.[32] Increasing routine clinical use of next generation sequencing-based assays which can determine tumor mutational burden (TMB), a presumed surrogate for higher probability of tumor-derived immunogenic neoantigens, may identify those more likely to respond to immune-mediated therapies.[33] Clinical support for this observation has been demonstrated in MSI (high TMB) tumors, including GC.[34,35] In urothelial bladder cancer and non-small cell lung cancer (NSCLC) elevated TMB seems to identify a more immuno-responsive subset, although responses are observed in low TMB patients.[36-38] Whether or not non-MSI elevated TMB will be a predictive response biomarker in GC remains to be determined and requires ongoing clinical trial data sets.

PD-1 and PD-L1 staining in GC

Data from NSCLC and other tumor types have suggested that PD-L1 IHC positivity on TCs and/or ICs from biopsy specimens is correlated with predicted benefit from checkpoint inhibitor therapy.[39] Several series reported IHC positivity rates in GC, and these data are being collected prospectively in ongoing GC immunotherapy trials.[40] While there are variations in methodologies and antibody clones used, PD-L1 is expressed in up to 65% of gastric tumors whereas it was undetectable in normal gastric mucosal tissue in healthy subjects.[20,25,41,42] The frequencies of PD-1 expression in tumor-infiltrating lymphocytes and TCs were 53.8% and 30.1%, respectively, in another recent series.[25] There are currently insufficient data to determine if levels of intensity (<1%, 1%–24%, 25%–49%, >50%) or IC to TC scoring systems used in other tumor types can be extended to GC.[43] Current caveats with the use of PD-L1 IHC include intra-tumoral variability, inter-tumoral variability, temporal variability, and the subjective interpretation of the stains. Different drug developers employ different antibody assays and cutoff values to determine the degree of PD-L1 expression. Each assay includes its own primary antibody, detection system, and scoring criteria, although concordance among the 6 most common antibodies (SP142, E1L3N, 9A11, SP263, 22c3, and 28-8) for PD-L1 detection is high.[44] The antibody assays for nivolumab, pembrolizumab, avelumab (Merck KgaA; Darmstadt, Germany), and durvalumab (AztraZeneca; Cambridge, UK) are Dako (28-8 Ab), Dako (22c3), Ventana (Merck Clone 73-10), and Ventana (SP263), respectively.[45] The cutoff thresholds for PD-L1 positivity in most nivolumab studies are 0%–1% (negative), 1%–5% (weak), 5%–10% (medium), and at least 10% (strong). On the other hand, the cutoff thresholds for pembrolizumab in clinical studies include 0%–1% (negative), 1%–50% (medium), and at least 50% (strong). Consequently, some authors proposed harmonization of PD-L1 testing as an effort to standardize the results. Scheel et al proposed a 6-step scoring system that integrates all cutoff criteria by different antibody assays and found moderate interobserver concordance using this system in PD-L1-positive NSCLC TCs.[45] Variability in positivity rates and thresholds limit cross-trial comparisons in gastric and other tumor types and ultimately larger prospective data sets and assay harmonization will be important to refine the role of PD-1 and PD-L1 inhibitors in esophagogastric cancers. There are conflicting reports with regard to PD-L1 expression and prognosis. Some studies reported that patients with PD-L1-positive cancer had significantly shorter survivals compared with those with PD-L1-negative cancer.[42,46-48] However, recent studies have found PD-L1 expression to be a favorable prognostic marker in GC.[25,41,43] IC PD-L1 expression was frequently associated with intestinal type cancer, a lower risk of lymph node metastasis, and lower tumor stages compared to MSI-H GCs without PD-L1 expression.[41] PD-L1 expression in intra- or peritumoral ICs predicts improved survival in patients with high MSI-H gastric carcinoma.[41] Additionally, higher CD3+ and CD8+ cell density were associated with better OS.[49] In patients with locally advanced GC receiving adjuvant S1, postoperative neutrophil to lymphocyte ratio (reflected by high neutrophils and low PD-1+ cells) and carcinoembryonic antigen were independent prognostic factors for recurrence after surgery.[50] Recently, an IHC-based immunoscore from a series of 879 Chinese GC patients suggested that high immunoscore is associated with lower recurrence rates and better survival after adjuvant therapy.[51] It is anticipated that the IHC data collected as part of ongoing trials in locoregional and advanced GC will refine the predictive and prognostic role of PD-1/PD-L1 expression in locoregional and advanced GC.

PD-1 and PD-L1 checkpoint inhibitors in GC: clinical data

The promise of improved survival, durable response, and favorable toxicity has spawned a multitude of clinical trials investigating checkpoint inhibitors in GC (Table 1). A nuanced discussion of each trial is beyond the scope of this review, and established data are presented here in the context of other ongoing studies.
Table 1

Representative clinical trials investigating immunotherapies in gastric and gastroesophageal cancers

CompoundTarget or comboPhaseGC settingPrimary endpointClinical trial ID
PD-1 monotherapy
JS001PD-1Ib/II>1 prior lineORRNCT02915432
PembrolizumabPD-1I/IINeoadjpCR, PFSNCT02730546
Pembrolizumab (KEYNOTE-059)PD-1IIFirst-line (cohort 3)ORR, AEsNCT02335411
Pembrolizumab (KEYNOTE-061)PD-1IIISecond-lineOS, PFS in PD-L1+NCT02370498
Pembrolizumab (KEYNOTE-062)PD-1IIIFirst-line (arm 1)PFS, OSNCT02494583
NivolumabPD-1III>2 prior linesOSNCT02267343
PD-L1 monotherapy
Avelumab (JAVELIN gastric 100)PD-L1IIIFirst-line maintenanceOSNCT02625610
Avelumab (JAVELIN gastric 300)PD-L1IIIThird-lineOSNCT02625623
AtezolizumabPD-L1INo limitsDLTsNCT01375842
Durvalumab (PLATFORM)PD-L1IIMaintenance after stage II–III treatmentPFSNCT02678182
Dual checkpoint inhibitor
Nivolumab + ipilimumab (CheckMate-649)PD-1 + CTLA-4IIIFirst-lineOSNCT02872116
Durvalumab + tremelimumabPD-L1 + CTLA-4I/II>1 prior lineAEs, ORR, PFSNCT02340975
Nivolumab + ipilimumab (FRACTION-GC)PD-1 + CTLA-4IIAdvanced GCORR, DOR, PFSNCT02935634
Checkpoint inhibitor + cytotoxic therapy
Pembrolizumab (KEYNOTE-059)PD-1 + Cis/5FUIIFirst-line (cohort 2)ORR, AEsNCT02335411
Pembrolizumab (KEYNOTE-062)PD-1 + Cis/5FUIIIFirst-line (arm 2)PFS, OSNCT02494583
PembrolizumabPD-1 + FOLFOXI/IIFOLFOX indicatedSafetyNCT02268825
PembrolizumabPD-1 + chemoIIPerioperativeDFS at 24 mNCT02918162
PembrolizumabPD-1 + FOLFOXIIPerioperativepCR, AEsNCT02943603
NivolumabPD-1 + SOX or CapOXIIFirst-lineORRNCT02746796
PembrolizumabPD-1 + HER2 + Cis/5FUI/IIFirst-lineORR, RP2DNCT02901301
Checkpoint + biologic or other combinations
Pembrolizumab + radiationPD-1 + radiationIINo limitsBiomarkersNCT02830594
Ramucirumab + pembrolizumabVEGFR2 + PD-1I0–2 prior linesDLTsNCT02443324
Ramucirumab + durvalumabPD-L1 + VEGFR2I1–2 prior linesDLTsNCT02572687
Pembrolizumab with trastuzumab and cisplatin/5FUPD-1 + HER2 + chemoIIFirst-linePFSNCT02954536
GDC-0919 and atezolizumabIDO inhibitor and PD-L1I>1 prior lineDLTs, AEsNCT02471846
Epacadostat and durvalumabIDO inhibitor + PD-L1I/II>1 prior lineDLTs, ORRNCT02318277
PLX3397 and pembrolizumabCSF1R + PD-1I/II>1–2 prior linesAEsNCT02452424
Durvalumab and olaparib (MEDIOLA)PARP + PD-L1I/II>1–2 prior linesDCR, safetyNCT02734004
PEGPH20 with pembrolizumabHyaluronidase and PD-1Ib>1 prior lineDLT, ORRNCT02563548
GS-5745 and nivolumabMMP-9 and PD-1IIFirst-lineORRNCT02864381

Notes: Data are derived from clinicaltrials.gov (accessed 1/2017). Due to space constraints, a complete list is not shown and preference is given to trials focused on GC and GEJ cancers over those accepting all solid tumors. Several trials have multiple arms; please refer to clinicaltrials.gov for further details.

Abbreviations: VEGFR, vascular endothelial growth factor receptor; MMP, matrix metalloproteinase; GC, gastric cancer; DLT, dose limiting toxicity; DCR, disease control rate; AEs, adverse events; RP2D, recommended Phase II dose; DFS, disease-free survival; DOR, duration of response; ORR, overall response rate; PFS, progression-free survival; OS, overall survival; m, months; CSF, colony stimulating factor; chemo, chemotherapy; IDO, indoleamine-2,3-dioxygenase; Neoadj, neoadjuvant; GEJ, gastroesophageal junction; PARP, poly (ADP-ribose) polymerase inhibitor; pCR, pathologic complete response; Cis/5FU, SOX, S-1 and oxaliplatin; CapOX, capecitabine and oxaliplatin.

Anti-PD-1 antibodies

Nivolumab

Nivolumab (Bristol-Myers Squibb, New York, NY, USA), like pembrolizumab, is a humanized immunoglobulin G4 monoclonal antibody (mAb) against PD-1 with activity in multiple tumor types. The ongoing Phase I/II CheckMate-032 investigating the safety and efficacy of nivolumab as a single agent or in combination with Ipi in heavily pretreated patients with advanced or metastatic solid tumors, including GC patients (NCT01928394), has been partly reported.[52] Results from 160 GC patients enrolled in 3 arms nivolumab 3 mg/kg (N3), nivolumab 1 mg/kg + Ipi 3 mg/kg (N1+I3), and nivolumab 3 mg/kg + Ipi 1 mg/kg (N3+I1) were reported. Eighty-one patients harbored PD-L1-negative tumors while 35 patients harbored tumors with >1% PD-L1 expression. Tumor PD-L1 expression was assessed retrospectively in pretreatment tumor specimens with the Dako assay (28-8 pharmDx). Toxicities were more common in the N1+I3 group with 84% versus N3 (70%), and N3+I1 (75%). Common treatment-related adverse events (TRAEs) in all 3 groups included fatigue, pruritus, diarrhea, nausea, and decreased appetite. Thyroid disease was more common in N1+I3 compared to the other groups. Grade 3–4 TRAEs in the N3, N1+I3, and N3+I1 were 17%, 45%, and 27%, respectively. Important grade 3–4 TRAEs included pneumonitis, diarrhea, transaminitis, and increased amylase. Among 154 evaluable patients, the confirmed objective response rate (ORR) was 16%: 14% (N3), 26% (N1+I3), and 10% (N3+I1), including 2 patients with complete response (1 in N3; 1 in N1+I3) and a disease control rate (DCR; ORR + stable disease [SD]) of 38%. The median OS in the N3, N1+I3, and N3+I1 arms were 5.0 (3.4–12.4), 6.9 (3.6–not accessed [NA]), and 4.8 (3.0–9.1), respectively (Table 2).[52] Up to 44% patients with PD-L1 expression responded to N1+I3 combination compared with 27% for the other 2 arms. Despite relative higher toxicity, the N1+I3 combination showed encouraging activity and led to initiation of the CheckMate-649 Phase III trial (NCT02872116). In this study, the investigators plan to enroll 870 patients with untreated advanced or metastatic GC/gastroesophageal junction (GEJ) cancer with or without PD-L1 expression to receive nivolumab + ipi (4 doses; followed by nivolumab monotherapy) versus investigator’s choice of capecitabine/oxaliplatin (XELOX) or fluorouracil/leucovorin/oxaliplatin (FOLFOX).[53] Primary endpoint is OS in patients with PD-L1+ tumors. Secondary endpoints include OS in all patients and progression-free survival (PFS) and time to symptom deterioration in all patients and patients with PD-L1+ tumors.[53]
Table 2

Clinical activity of PD-1/PD-L1 and CTLA-4-directed therapies in advanced gastric cancer

StudyPhaseTrial populationnORR (%)6 m PFS (%)6 m OS (%)12 m PFS (%)12 m OS (%)Median OS (m)Median PFS (m)Ref
KEYNOTE-012IbAdvanced GC39222666NR4211.41.9[43]
KEYNOTE-028IbAdvanced esophageal233030NR21.7NRNRNR[55]
CheckMate-032 N 3 mg/kgI/IIAdvanced GC5914184973651.3[52]
CheckMate-032 N 3mg/kg, I 1mg/kgI/IIAdvanced GC5210943NRNR4.61.6[52]
CheckMate-032 N 1mg/kg, I 3mg/kgI/IIAdvanced GC4926185418346.91.5[52]
JAVELINIbAdvanced GC/GEJ, second line629.7NRNRNRNRNR1.5[56]
TremelimumabIIAdvanced GC, esophageal185NRNRNR334.82.8[73]
ONO-4538III>2 prior lines, gastric, GEJ49311.2NR46.47.626.65.321.6[54]

Notes: Data reflect updates through ASCO GI 2017. For the JAVELIN study, only the second line subgroup is reported.

Abbreviations: GC, gastric cancer; GEJ, gastroesophageal junction; N, nivolumab; I, ipilimumab; ORR, overall response rate; PFS, progression-free survival; OS, overall survival; m, months; NR, not reported; ASCO, American Society of Clinical Oncology.

Preliminary data from a double-blinded, randomized, Phase III trial (ONO-4538/BMS-936558) demonstrated the efficacy of nivolumab as salvage treatment as a third or later line of treatment in 493 patients with advanced gastric or gastroesophageal junction cancer compared to placebo (NCT02267343).[54] PD-1/L1 positivity was not required for study enrollment. Median OS was 5.32 months with nivolumab versus 4.14 months with placebo (hazard ratio [HR], 0.63; 95% confidence interval [CI], 0.50–0.78; p<0.0001). OS rates at 6 and 12 months were 46.4% versus 34.7% and 26.6% versus 10.9%, respectively. Median PFS was longer with nivolumab than placebo (1.61 vs 1.45 months) with HR, 0.60; 95% CI, 0.49–0.75; p<0.0001 (Table 2). The ORR was 11.2% with nivolumab versus 0% with placebo (p<0.0001). Grade ≥3 drug-related adverse events (AEs) occurred in 11.5% of nivolumab and 5.5% of placebo.[54] Biomarker analysis is under investigation.

Pembrolizumab

The large multi-cohort Phase Ib KEYNOTE-012 first high-lighted the activity of pembrolizumab in PD-L1-positive GC (NCT01848834). Of the 162 patients with GC who were assessed for PD-L1 expression, 65 (40%) had PD-L1-positive tumors and 39 were enrolled in the trial. Among the 39 patients with gastric tumors expressing PD-L1 (IHC positive in >1% of tumor and/or contiguous mononuclear inflammatory cells using Dako Assay, 22C3 antibody), the majority failed prior treatments (1–5 lines of therapies) and were treated with pembrolizumab at 10 mg/kg intravenously every 2 weeks.[43] Treatment with pembroluzumab led to partial response (PR) in 8 patients (22%) and SD in 5 patients (13%) with no significant differences between Asian and non-Asian patients. The median PFS as assessed by central review was 1.9 months (95% CI, 1.8–3.5), with 6-month PFS of 26% (95% CI, 13–41) (Table 2). Median OS was 11.4 months (95% CI, 5.7–not reached) (Table 2). Common grade 1 or 2 AEs included poor appetite (13%), fatigue (13%), pruritus (13%), hypothyroidism (4%), and arthralgia (4%). This study did not find an association between the interferon-γ signature score and overall response (p=0.070) or PFS (p=0.28).[43] The interferon-γ signature score was calculated as the average of the normalized values of the 6-gene signature (CXCL9, CXCL10, IDO1, IFNG, HLA-DRA, and STAT1). These 6 genes were significantly associated with response to pembrolizumab in melanoma. The similarly designed KEYNOTE-028 (NCT02054806) is a nonrandomized, multi-cohort, Phase Ib trial of pembrolizumab for PD-L1-positive advanced solid tumors. The updated results of KEY-NOTE-028 esophageal/GEJ cohort included 23 patients with esophageal cancer treated with pembrolizumab at 10 mg/kg intravenously every 2 weeks up to 2 years.[55] The majority of patients were Asian (n=12), and 74% of all patients had esophageal squamous cell carcinoma (n=17), and progressed on >2 lines of therapy (n=20). Nine patients (39%) had AEs, most commonly decreased appetite (n=3, 13.0%). irAEs, regardless of attribution by the investigator, were grade 2 hypothyroidism (n=2, 8.7%) and adrenal insufficiency (n=1, 4.3%). Treatment-related events did not lead to any death or study discontinuation. Seven patients had PR (30%) and 3 patients had SD (13%). The PFS at 6 and 12 months were 30.4% and 21.7%, respectively (Table 2). Pembrolizumab led to a higher response rate in adenocarcinoma (40%) than squamous cell histology (29%). The study also attempted to analyze response rate and duration using the interferon inflammatory 6-gene-expression signature (IDO1, CXCL10, CXCL9, HLA-DRA, STAT1, and IFN-γ). Patients with low signature score (non-inflamed) tumors generally had lower response rates and did not show delays in progression. Conversely, delays in progression and increased ORR tended to occur among patients with higher immune gene signatures scores. Similar patterns were observed for head and neck and GC cohorts. Although there are multiple caveats in cross-trial comparisons, it is important to note that the KEYNOTE-012 and KEYNOTE-028 studies included a large proportion of patients (~60% in KEYNOTE-012) who had received ≥3 prior lines of therapy, a population in which no large trial has demonstrated significant activity. The relatively small sample sizes limit the ability to determine differential activity of checkpoint inhibitors in relation to the number and type of prior therapies although this remains an interesting question. The ORR and 6-month survivals in these heterogenous populations of pretreated patients approach that of true 2L studies, which is encouraging. It should be noted that PFS has limitations in analyzing immunotherapy trials, and landmark analyses such as 6 and 12-month survival may be more reflective of benefit given the long-tail/plateau pattern observed in Kaplan–Meier analyses from multiple other tumor types (Table 2).

Anti-PD-L1 antibodies

Avelumab

Avelumab (MSB0010718C) is a fully human anti-PD-L1 IgG1 antibody being investigated in a Phase Ib JAVELIN trial in patients with advanced gastric or GEJ cancers who had at least 1 prior therapy (2L) or who received avelumab as switch maintenance (SwM) after chemotherapy (NCT01772004).[56] The data from 151 patients (62 patients in 2L, 89 patients in SwM group) receiving 10 mg/kg avelumab were presented at the American Society of Clinical Oncology 2016 meeting (Chicago, USA). The most common AEs were infusion-related reactions (19 [12.6%]) and fatigue (16 [10.6%]). Fifteen patients (9.9%) experienced grade ≥3 toxicities, including fatigue, asthenia, thrombocytopenia, anemia, and increased gamma-glutamyl transpeptidase. One patient died of hepatic failure secondary to autoimmune hepatitis. In the 2L group, the ORR, DCR, and median PFS were 6/62 patients (9.7%), 29.0%, and 6.0 weeks (95% CI, 5.7, 6.4), respectively. In the SwM group, the ORR, DCR, and median PFS were 8/89 patients (9%), 57.3%, and 12.0 weeks (95% CI, 9.9, 17.6), respectively (Table 2). In this study, PD-L1 expression status is defined as positive or negative using the Dako IHC assay (anti-PD-L1 clone 73-10, Merck KGaA) at various cutoff levels based on the quanity and intensity of staining. These cutoff levels included at least 1%, 5%, or 25% TCs or at least 10% tumor-infiltrating ICs. Among 22 patients in the 2L groups who were evaluated for PD-L1 expression, the ORR in the PD-L1-positive subset was higher than in patients with PD-L1-negative tumors (18.2% vs 9.1%). In the SwM group (n=52), patients with tumors harboring PD-L1 expression also exhibited higher responses than tumors without PD-L1 expression (10% vs 3.1%).[56]

Durvalumab (MEDI4736)

Durvalumab (AstraZeneca, London, UK) is an engineered human anti-PD-L1 IgG1 isotype that binds PD-L1, preventing its binding to PD-1 and CD80. In a Phase I study, patients with solid tumors including GC (NCT01693562) patients were treated with durvalumab up to 10 mg/kg intravenously every 2 weeks for up to 12 months.[57] Treatment-related AEs occurred in 33% of patients, including 7% patients with grade 3 toxicities. The most frequently observed treatment-related AEs were fatigue (13%), nausea (8%), rash (6%), vomiting (5%), and pyrexia (5%). Preliminary efficacy data demonstrated an ORR of 25% in (4/16) patients with GC. Two cases of heavily pretreated GC remained stable over 24 weeks, exceeding the current median PFS of approved 2L therapies.[57] In summary, checkpoint inhibitors demonstrated clinical benefit in patients with advanced and refractory GC. As observed in other tumor types, PD-L1 expression seems to be associated with higher response to checkpoint inhibitors. In the KEYNOTE-012 trial, the ORR, 12-month OS, and median OS among patients with PD-L1-positive tumors who received pembrolizumab were 22%, 42%, and 11.4 months, respectively. The proportion of patients who had 0, 1, 2, 3, and ≥4 lines of therapies were 15%, 18%, 10%, 21%, and 36%, respectively. In contrast, the single agent activity of nivolumab in CheckMate-032 yieled ORR of 14% and median OS of 5 months in PD-1/L1 unselected advanced GC/GEJ patients who failed previous treatments (41% of patients had 1 and 56% had 2–3 lines of prior treatments). The lower ORR and median OS in this trial may be due to the inclusion of unselected patients. However, these 2 studies included different patient populations, and one cannot conclude that activity is equivalent based on these limited data sets. The addition of Ipi (3 mg/kg) to nivolumab (1 mg/kg) yielded an impressive response rate (ORR of 26% in unselected patients and 44% in patients with PD-L1 expression) at the expense of higher incidence of TRAEs. This combination is promising in patients with good performance status and low combordity score, and Phase III trials are ongoing (Table 2, NCT02872116). Longer follow-up is required to determine the durability of response from this combination. Data from ONO-4538 also showed similar single agent activity of nivolumab in unselected patients with advanced and heavily pretreated GC (>2 lines of therapy) compared with the CheckMate-032 study. There are currently insufficient data to determine differences in clinical efficacy between PD-1 and PD-L1 targeting approaches.

Combination therapy

The efficacy of anti-PD-1-directed therapy in GC has spawned combination studies with other active targeted biologic agents. Preclinical work has shown synergistic activity between blockade of both the PD-1/PD-L1 axis and the vascular endothelial growth factor (VEGF)/vascular endothelial growth factor receptor (VEGFR) pathway.[58] Dual inhibition has the potential to induce deeper responses, longer PFS, and ultimately prolonged OS. Early phase studies of combination PD-1/PD-L1 and VEGF/VEGFR blockade in other solid tumors have already shown an acceptable safety profile but outcomes data are yet to be established.[59-62] Orthogonal chemo–immuno combination support from NSCLC was recently reported. The randomized, open-label, Phase II KEYNOTE-021 trial demonstrated that the addition of pembrolizumab to carboplatin and pemetrexed yielded higher response rate compared to carboplatin and pemetrexed alone (55% vs 29%, p=0.0016) in patients with treatment-naïve NSCLC (NCT02039674).[62] The incidence of grade 3 or worse TRAEs was similar between the 2 arms, which consisted mainly of neutropenia, anemia, thrombocytopenia, and fatigue. The positive result from this study is being further explored in an ongoing randomized, double-blind, Phase III KEYNOTE-189 trial (NCT02578680). In GC, a Phase Ia/Ib study of combination anti-PD-L1 and anti-VEGFR2 antibodies, durvalumab, and ramucirumab has been investigated and the interim safety and efficacy data of 40 patients with refractory GC/GEJ tumors have been presented (NCT02443324).[63] In this study, PD-L1 expression >1% was classified as positive although not an inclusion criterion for study entry. The dosing regimen was pembrolizumab 200 mg on day 1 every 3 weeks and ramurcirumab 8 mg/kg on days 1 and 8 (cohort A) or 10 mg/kg on day 1 only (cohort B). Preliminary efficacy data showed 3 of 40 (7.5%) patients (PD-L1 negative, n=1; PD-L1 positive, n=2) responded to treatment with a 45% DCR. Median PFS was 2.10 months (95% CI, 1.18–4.04) and 2.60 months (1.38, not reported) for cohorts A and B, respectively. Common toxicities included fatigue (30%), infusion-related reaction (12.5%), decreased appetite (12.5%), pruritus (10%), maculopapular rash (10%), and hypertension (10%). Ten (25%) patients had grade 3–4 toxicities, most commonly colitis (7.5%) and hypertension (7.5%).[63] Combination anti-PD-1 and chemotherapy approaches have also undergone active investigation given the recognition that chemotherapy may also promote immunogenic cell death.[64] In the ongoing Phase II KEYNOTE-059 study, preliminary data were obtained from 25 patients with advanced HER2-negative gastric adenocarcinoma who were treated with first-line 5-fluorouracil and cisplatin in combination with pembrolizumab. All 25 patients experienced TRAEs of any grade, and 72% (18/25) experienced grade 3 and 4 TRAEs. No patients were discontinued due to pembrolizumab-related AEs suggesting the combination has a manageable side effect profile.[65,66] The ongoing Phase III KEYNOTE-062 study (NCT02494583) is carrying this combination forward randomizing advanced, metastatic gastric/GEJ adenocarcinoma patients whose tumors express PD-L1 to pembrolizumab monotherapy versus pembrolizumab plus cisplatin and fluorouracil versus placebo plus cisplatin and fluorouracil for treatment-naïve diseases (Table 2). The promising results of such anti-PD-1/PD-L1 single agent and combination studies in advanced disease have naturally spawned multiple trials in earlier stage disease, including the adjuvant nivolumab Phase III trial in resected esophageal and GEJ (CheckMate-577), and a Phase I neoadjuvant trial of nivolumab and Ipi in stage II–III patients (NCT03044613).[53] Given that patients with HER2-overexpressing tumors invariably demonstrate progression and resistance to trastuzumab-containing therapies, combination efforts are also investigating combining PD-1 blockade with anti-HER2 agents. Preclinical studies indicate that Her-2 inhibition can promote T-cell activation and trafficking and boost natural killer cell secretion of interferon-γ and antibody-dependent cellular toxicity which may be prime for PD-1/L1 effectiveness.[67] A Phase Ib/II, open-label, dose-escalation study is investigating the novel anti-HER2 mAb margetuximab in combination with pembrolizumab in patients with advanced HER2-amplified GC who are refractory to standard trastuzumab-based combination chemotherapy (NCT02689284) (Table 1).[68] Dual targeting of both the tumor microenvironment as well as multiple nodes in the cancer immunity cycle is also an attractive option. These include combining anti-PD-1/PD-L1 therapies with agents inhibiting other immune checkpoints (TIM3, LAG3), T-cell costimulatory agonist antibodies (GITR, OX40, 4-1BB), enzymatic inhibitors (IDO-1), as well as radiation and other cytotoxic drugs. Additionally, the combination of nivolumab and GS-5745, a matrix metalloproteinase 9 inhibitor, is also being investigated in patients with unresectable or recurrent GC/GEJ adenocarcinoma (NCT02864381). These trials are all under ongoing clinical investigation (Table 1). Notably, there is a paucity of GC-specific preclinical data providing specific combinatorial rationale. Radiation therapy, however, has been of significant interest in PD-1/PD-L1 combinatorial approaches due to the well annotated although rarely observed clinical phenomenon of the abscopal response in cancer radiotherapy, in which non-irradiated metastatic lesions are noted to regress after radiation to the primary tumor site. In multiple preclinical tumor models, combination radiotherapy and PD-1/PD-L1 axis blockade exhibit synergistic antitumor activity and reduce tumor-infiltrating myeloid-derived suppressor cells.[69,70] GC-specific trials are ongoing including studies combining pembrolizumab with palliative radiotherapy in the metastatic setting, as well as with neoadjuvant chemoradiotherapy for GEJ and gastric cardia cancers in earlier stage resectable disease (NCT02730546).[71]

Future directions

Early trials involving immunotherapy in non-GC tumors were notable for prolonged responses in some patients, but often low ORRs highlighting the need for response biomarkers.[11,13-15] Among the reported trials, there is a general trend toward higher ORR in PD-1 and/or PD-L1-positive samples (TCs or ICs). Among the subgroup of MSI-H tumors, it seems clear that high TMB is the biologic underpinning of the observed high response rates. Results from multiple ongoing trials in GC will further refine the roles for biomarkers selection and optimal combination approaches. Importantly, ~40% of patients with GC develop peritoneal carcinomatosis and ascites, a phenotype associated with a particularly poor prognosis.[72] More work is needed to study the immune milieu of the peritoneum in these patients with readily accessible tissue and stromal cells. Activity of checkpoint inhibitors has not been reported specifically in this population and perhaps intraperitoneal delivery of single agent or rational combinations can be considered. This study has reviewed the role of PD-1 in GC with a focus on emerging clinical data. With the expected approval of PD-1 inhibitors, many important questions remain; however, promising results are expected for the future of GC.
  56 in total

1.  Modulation of lymphocyte regulation for cancer therapy: a phase II trial of tremelimumab in advanced gastric and esophageal adenocarcinoma.

Authors:  Christy Ralph; Eyad Elkord; Deborah J Burt; Jackie F O'Dwyer; Eric B Austin; Peter L Stern; Robert E Hawkins; Fiona C Thistlethwaite
Journal:  Clin Cancer Res       Date:  2010-02-23       Impact factor: 12.531

Review 2.  Targeted therapy for gastric cancer: molecular pathways and ongoing investigations.

Authors:  Wei Yang; Alexander Raufi; Samuel J Klempner
Journal:  Biochim Biophys Acta       Date:  2014-05-22

Review 3.  Combining immunotherapy and targeted therapies in cancer treatment.

Authors:  Matthew Vanneman; Glenn Dranoff
Journal:  Nat Rev Cancer       Date:  2012-03-22       Impact factor: 60.716

4.  Yield of Staging Laparoscopy and Lavage Cytology for Radiologically Occult Peritoneal Carcinomatosis of Gastric Cancer.

Authors:  Naruhiko Ikoma; Mariela Blum; Yi-Ju Chiang; Jeannelyn S Estrella; Sinchita Roy-Chowdhuri; Keith Fournier; Paul Mansfield; Jaffer A Ajani; Brian D Badgwell
Journal:  Ann Surg Oncol       Date:  2016-07-06       Impact factor: 5.344

5.  Atezolizumab in patients with locally advanced and metastatic urothelial carcinoma who have progressed following treatment with platinum-based chemotherapy: a single-arm, multicentre, phase 2 trial.

Authors:  Jonathan E Rosenberg; Jean Hoffman-Censits; Tom Powles; Michiel S van der Heijden; Arjun V Balar; Andrea Necchi; Nancy Dawson; Peter H O'Donnell; Ani Balmanoukian; Yohann Loriot; Sandy Srinivas; Margitta M Retz; Petros Grivas; Richard W Joseph; Matthew D Galsky; Mark T Fleming; Daniel P Petrylak; Jose Luis Perez-Gracia; Howard A Burris; Daniel Castellano; Christina Canil; Joaquim Bellmunt; Dean Bajorin; Dorothee Nickles; Richard Bourgon; Garrett M Frampton; Na Cui; Sanjeev Mariathasan; Oyewale Abidoye; Gregg D Fine; Robert Dreicer
Journal:  Lancet       Date:  2016-03-04       Impact factor: 79.321

Review 6.  The Next Hurdle in Cancer Immunotherapy: Overcoming the Non-T-Cell-Inflamed Tumor Microenvironment.

Authors:  Thomas F Gajewski
Journal:  Semin Oncol       Date:  2015-06-03       Impact factor: 4.929

7.  Nivolumab versus Docetaxel in Advanced Nonsquamous Non-Small-Cell Lung Cancer.

Authors:  Hossein Borghaei; Luis Paz-Ares; Leora Horn; David R Spigel; Martin Steins; Neal E Ready; Laura Q Chow; Everett E Vokes; Enriqueta Felip; Esther Holgado; Fabrice Barlesi; Martin Kohlhäufl; Oscar Arrieta; Marco Angelo Burgio; Jérôme Fayette; Hervé Lena; Elena Poddubskaya; David E Gerber; Scott N Gettinger; Charles M Rudin; Naiyer Rizvi; Lucio Crinò; George R Blumenschein; Scott J Antonia; Cécile Dorange; Christopher T Harbison; Friedrich Graf Finckenstein; Julie R Brahmer
Journal:  N Engl J Med       Date:  2015-09-27       Impact factor: 91.245

8.  Atezolizumab as first-line treatment in cisplatin-ineligible patients with locally advanced and metastatic urothelial carcinoma: a single-arm, multicentre, phase 2 trial.

Authors:  Arjun V Balar; Matthew D Galsky; Jonathan E Rosenberg; Thomas Powles; Daniel P Petrylak; Joaquim Bellmunt; Yohann Loriot; Andrea Necchi; Jean Hoffman-Censits; Jose Luis Perez-Gracia; Nancy A Dawson; Michiel S van der Heijden; Robert Dreicer; Sandy Srinivas; Margitta M Retz; Richard W Joseph; Alexandra Drakaki; Ulka N Vaishampayan; Srikala S Sridhar; David I Quinn; Ignacio Durán; David R Shaffer; Bernhard J Eigl; Petros D Grivas; Evan Y Yu; Shi Li; Edward E Kadel; Zachary Boyd; Richard Bourgon; Priti S Hegde; Sanjeev Mariathasan; AnnChristine Thåström; Oyewale O Abidoye; Gregg D Fine; Dean F Bajorin
Journal:  Lancet       Date:  2016-12-08       Impact factor: 79.321

Review 9.  Control of the immune response by pro-angiogenic factors.

Authors:  Thibault Voron; Elie Marcheteau; Simon Pernot; Orianne Colussi; Eric Tartour; Julien Taieb; Magali Terme
Journal:  Front Oncol       Date:  2014-04-02       Impact factor: 6.244

10.  Signatures of tumour immunity distinguish Asian and non-Asian gastric adenocarcinomas.

Authors:  Suling J Lin; Johann A Gagnon-Bartsch; Iain Beehuat Tan; Sophie Earle; Louise Ruff; Katherine Pettinger; Bauke Ylstra; Nicole van Grieken; Sun Young Rha; Hyun Cheol Chung; Ju-Seog Lee; Jae Ho Cheong; Sung Hoon Noh; Toru Aoyama; Yohei Miyagi; Akira Tsuburaya; Takaki Yoshikawa; Jaffer A Ajani; Alex Boussioutas; Khay Guan Yeoh; Wei Peng Yong; Jimmy So; Jeeyun Lee; Won Ki Kang; Sung Kim; Yoichi Kameda; Tomio Arai; Axel Zur Hausen; Terence P Speed; Heike I Grabsch; Patrick Tan
Journal:  Gut       Date:  2014-11-10       Impact factor: 23.059

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  25 in total

Review 1.  Pembrolizumab for treatment of advanced gastric and gastroesophageal junction adenocarcinoma.

Authors:  Smita S Joshi; Steven B Maron; Daniel V Catenacci
Journal:  Future Oncol       Date:  2017-11-02       Impact factor: 3.404

2.  Negative Correlation Between 18F-RGD Uptake via PET and Tumoral PD-L1 Expression in Non-Small Cell Lung Cancer.

Authors:  Leilei Wu; Jingru Liu; Shasha Wang; Menglin Bai; Min Wu; Zhenhua Gao; Jianing Li; Jinming Yu; Jie Liu; Xue Meng
Journal:  Front Endocrinol (Lausanne)       Date:  2022-06-30       Impact factor: 6.055

3.  A case of gastric cancer with delayed onset of tumor reduction effect by nivolumab therapy.

Authors:  Rika Satoyoshi; Osamu Muto; Akio Masuda; Kei Kotanagi; Takuya Kichiraku; Kazuhiro Kudoh; Toshiya Sawada; Hideaki Miyazawa; Hitoshi Kotanagi
Journal:  Clin J Gastroenterol       Date:  2018-09-11

4.  Tislelizumab in Chinese patients with advanced solid tumors: an open-label, non-comparative, phase 1/2 study.

Authors:  Lin Shen; Jun Guo; Qingyuan Zhang; Hongming Pan; Ying Yuan; Yuxian Bai; Tianshu Liu; Qing Zhou; Jun Zhao; Yongqian Shu; Xiaoming Huang; Siyang Wang; Jie Wang; Aiping Zhou; Dingwei Ye; Ting Sun; Yujuan Gao; Silu Yang; Zoubai Wang; Jian Li; Yi-Long Wu
Journal:  J Immunother Cancer       Date:  2020-06       Impact factor: 13.751

Review 5.  Immunotherapy for Gastric Cancer: Time for a Personalized Approach?

Authors:  Riccardo Dolcetti; Valli De Re; Vincenzo Canzonieri
Journal:  Int J Mol Sci       Date:  2018-05-29       Impact factor: 5.923

6.  Efficacy and safety of trastuzumab as maintenance or palliative therapy in advanced HER2-positive gastric cancer.

Authors:  Xiaomin Fu; Yong Zhang; Jing Yang; Yalong Qi; Yue Ming; Miaomiao Sun; Yiman Shang; Yonghao Yang; Xiaoyan Zhu; Quanli Gao
Journal:  Onco Targets Ther       Date:  2018-09-20       Impact factor: 4.147

7.  Expression of the immune checkpoint molecule V-set immunoglobulin domain-containing 4 is associated with poor prognosis in patients with advanced gastric cancer.

Authors:  So-Woon Kim; Jin Roh; Hye Seung Lee; Min-Hee Ryu; Young-Soo Park; Chan-Sik Park
Journal:  Gastric Cancer       Date:  2020-09-14       Impact factor: 7.370

8.  Chemoradiation induces upregulation of immunogenic cell death-related molecules together with increased expression of PD-L1 and galectin-9 in gastric cancer.

Authors:  S H Petersen; L F Kua; S Nakajima; W P Yong; K Kono
Journal:  Sci Rep       Date:  2021-06-10       Impact factor: 4.379

9.  Blockade of ITGA2 Induces Apoptosis and Inhibits Cell Migration in Gastric Cancer.

Authors:  Yu-Chang Chuang; Hsin-Yi Wu; Yu-Ling Lin; Shey-Cherng Tzou; Cheng-Hsun Chuang; Ting-Yan Jian; Pin-Rong Chen; Yuan-Ching Chang; Chi-Hsin Lin; Tse-Hung Huang; Chao-Ching Wang; Yi-Lin Chan; Kuang-Wen Liao
Journal:  Biol Proced Online       Date:  2018-05-01       Impact factor: 3.244

Review 10.  Emerging Therapies in the Management of Advanced-Stage Gastric Cancer.

Authors:  Vivek Kumar; Parita Soni; Mohit Garg; Stephan Kamholz; Abhinav B Chandra
Journal:  Front Pharmacol       Date:  2018-09-13       Impact factor: 5.810

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