Literature DB >> 32074405

Evidence of pseudoprogression in patients treated with PD1/PDL1 antibodies across tumor types.

Patricia Martin-Romano1, Eduardo Castanon2, Samy Ammari1,3, Stéphane Champiat1, Antoine Hollebecque1, Sophie Postel-Vinay1,4, Capucine Baldini1, Andrea Varga1, Jean Marie Michot1, Perrine Vuagnat1, Aurélien Marabelle1,4, Jean-Charles Soria1,4, Charles Ferté1,4, Christophe Massard1,4.   

Abstract

BACKGROUND: PD(L)1 antibodies (anti-PD(L)-1) have been a major breakthrough in several types of cancer. Novel patterns of response and progression have been described with anti-PD(L)-1. We aimed at characterizing pseudoprogression (PSPD) among patients with various solid tumor types treated by anti-PD(L)-1.
METHODS: All consecutive patients (pts) enrolled in phase 1 trials with advanced solid tumors and lymphomas treated in phase I clinical trials evaluating monotherapy by anti-PD(L)-1 at Gustave Roussy were analyzed. We aimed to assess prevalence and outcome of PSPD across tumor types. We also intended to describe potential clinical and pathological factors associated with PSPD.
RESULTS: A total of 169 patients treated with anti-PD(L)-1 were included in the study. Most frequent tumor types included melanoma (n = 57) and non-small cell lung cancer (n = 19). At first tumor evaluation 77 patients (46%) presented with immune unconfirmed progressive disease. Six patients (8%) experienced PSPD: 2 patients with partial response; 4 patients with stable disease. Increase in target lesions in the first CT-scan was more frequently associated to PSPD (67% vs 33%; P = .04). Patients with a PSPD had a superior survival when compared to patients progressing (median OS: 10.7 months vs 8.7 months; P = .07).
CONCLUSIONS: A small subset of PSPD patients may experience response after an initial progression. Assessment of the current strategy for immune-related response evaluations may require further attention.
© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.

Entities:  

Keywords:  Immune checkpoint inhibitor; pseudoprogression; response evaluation criteria in solid tumors; treatment beyond progression

Mesh:

Substances:

Year:  2020        PMID: 32074405      PMCID: PMC7163099          DOI: 10.1002/cam4.2797

Source DB:  PubMed          Journal:  Cancer Med        ISSN: 2045-7634            Impact factor:   4.452


BACKGROUND

Cancer therapeutics targeting the immune system disrupted the landscape of oncology in recent years.1, 2, 3, 4 To evade the immune system, cancer cells develop a series of immunosuppressive mechanisms, including up and downregulating functional pathways favoring tumor tolerance and T‐cell anergy.5 The Programmed Death (PD)‐1/PD Ligand‐1 (PD‐L1) pathway is one of such critical component of tumor‐mediated immunosuppression.6 In this setting, the administration of antibodies targeting PD‐1 and PD‐L1 demonstrated substantial clinical benefit in patients with advanced or metastatic cancer.1, 4 The novel mechanism of action of these antibodies is associated with specific adverse events (eg, immune‐related thyroiditis, pneumonitis, or colitis, etc) along with novel patterns of response such as profound and durable responses, pseudoprogression (PSPD) and hyperprogressive disease (HPD).1, 7, 8 Such findings have recently led to the development of immune Response Evaluation Criteria in Solid Tumors (iRECIST) that manage Pseudoprogression (PSPD) by introducing the notion of immune unconfirmed and confirmed progressive disease (iUPD and iCPD, respectively).9 PSPD is defined as an initial disease progression by RECIST followed by a subsequent response. Hypotheses suggest PSPD could be related to a transient infiltration of lymphocytes into the tumor and its stroma, preceding the tumor shrinkage.6 Several studies evaluating immune‐related responses in patients with advanced melanoma observed PSPD in 5%‐7% of patients receiving anti‐PD(L)1.10, 11 Despite several case reports in the literature most of them including melanoma patients, the prevalence and the outcome of PSPD across solid tumors remains below 10%.8, 11, 12, 13, 14, 15 Also, to predict this transient‐progression’ or PSPD remains a challenge at bedside. The establishment of predictors of PSPD seems an important task for health care providers, given the negative consequences of either promptly discontinuing a potentially effective or maintaining an ineffective drug beyond disease progression. These issues appear more and more prominent given the advent of immunotherapies as the new standard therapy in many cancer types. This study aimed to: (a) first, evaluate the prevalence and the outcome of PSPD across tumor types; (b) second, describe potential clinical and pathological factors associated with PSPD.

METHODS

Patients

All consecutive patients enrolled in phase 1 trials with advanced solid tumors and lymphomas treated in phase I clinical trials evaluating monotherapy by anti‐PD(L)‐1 at Gustave Roussy were analyzed. PD‐L1 positive tumors were assessed as per protocol.

Definition of PSPD

Antitumor Response to anti‐PD(L)‐1 was assessed according to iRECIST criteria including immune complete response (iCR), partial response (iPR), stable disease (iSD), iUPD and iCPD.9 Briefly, PSPD is defined as an initial progressive disease defined by an increase in the size of lesions, or the visualization of new lesions, followed by a durable response. According to iRECIST criteria, an initial progressive disease is established by as unconfirmed progressive disease (iUPD), which requires a confirmation computerized tomography scanner (CT scan) 4 to 8 weeks later. The second assessment classifies the progression as confirmed progressive disease (iCPD) by a further increase in target or new target lesions (≥5 mm in sum of measures), further increase in nontarget or new nontarget lesions, or an increase in the number of new lesions. In our cohort of patients, PSPS was established in patients with iUPD and further response considered as iCR, iPR, and iSD. As per the different protocols, first radiological evaluation was performed per protocol 6 to 8 weeks after treatment onset, and then every 6 to 8 weeks and/or 4 to 6 in the case of iUPD. All patients had at least two radiological evaluations: baseline and first radiological examination during ICI. Disease response was based on the assessment of target lesions, nontarget lesions, and new lesions. Treatment decisions were based on investigator assessment of response per RECIST 1.1 and iRECIST. Treatment beyond progression was continued conditional to a confirmatory CT scan 4‐6 weeks after the first evidence of disease progression, as defined per protocol. All the CT scans were independently reviewed by two senior radiologists.

Statistical analysis

Clinical and pathological factors potentially associated with PSPD were appraised. Fisher exact test was used to assess the association between categorical variables. Hazard Ratios were estimated from Cox proportional hazard models and were adjusted to the standard clinical and pathologic prognostic factors. All the tests were two‐sided and significance was assumed if P < .05. Survival estimates were calculated using the Kaplan‐Meier method.11 Median follow up was calculated with the inverse Kaplan‐Meier method. Overall survival (OS) was determined as the time between the landmark point considered as the baseline CT scan and the death from any cause or last contact when still alive. All the analyses were carried out using STATA statistical software (version 14; STATA).

RESULTS

Patients’ characteristics

A total of 169 patients with solid tumors treated by anti‐PD(L)‐1 monotherapy were analyzed. All patients were enrolled in five different phase I trials at Gustave Roussy between December 2011 and July 2015. As illustrated in the flowchart of patients participating in the study (Figure 1), baseline and first evaluation CT‐scans were available in all 169 patients. Patients’ characteristics are illustrated on Table 1. The most frequent tumor types included melanoma (n = 57) and NSCLC (n = 19). Median previous lines of chemotherapy were 2 (0‐9). Patients were treated by anti PD‐1 (96 [56.5%]) and anti PD‐L1 (73 [43.5%]) monotherapy.
Figure 1

Flowchart of patients participating in the study

Table 1

Patient's characteristics

 Frequency (N = 169)Proportion (%)
Tumor type
Melanoma5733.7%
NSCLC1911.2%
Bladder and urothelial137.7%
Renal cell carcinoma127.1%
Colorectal105.9%
Lymphoma84.7%
HCC74.1%
Breast63.6%
HNSCC63.6%
GBM53%
Ovarian53%
Gastric42.4%
Cervix31.8%
Uveal melanoma31.8%
Cholangiocarcinoma21.2%
Endometrium21.2%
Thyroid21.2%
Mesothelioma10.6%
Pancreas10.6%
Sarcoma10.6%
Salivary gland10.6%
Prostate10.6%
Age (median, range)5520‐82
Gender
Male9254.4%
Female7745.6%
RMH score
04325.4%
16136.1%
25532.5%
3106%
Previous treatment lines (median, range)20‐9
Type of previous treatment
Chemotherapy11769.1%
Targeted therapy9556.2%
Immunotherapy2615.4%
Previous radiation9254.8%
Type of drug
PD‐1 inhibitor9556.5%
PD‐L1 inhibitor7343.5%
PDL1 status
Positive74.1%
Negative4023.7%
NA12172.2%
Number of metastatic sites
<27041.4%
≥29958.6%
Tumor burden estimated by RECIST 1.1 (mm, range)7512‐364
Flowchart of patients participating in the study Patient's characteristics

Pseudoprogression: Definition and natural history

All patients had baseline and first evaluation CT scan. The overall response rate at the first tumor evaluation and the best response rate, computed using the iRECIST criteria, are displayed in Table 2. Briefly, we observed at the first tumor evaluation: 77 patients (45.6%) with iUPD, 69 patients (40.8%) with iSD, 21 patients (12.4%) with iPR, and 2 patients (1.2%) with iCR.
Table 2

Patterns of response, including PSPD

 iRECIST
First radiological evaluationBest overall response
iCR2 (1.2%)10(5.9%)
iPR21 (12.4%)45 (26.6%)
iSD69 (40.8%)43 (24.2%)
iUPD77 (45.6%)59 (34.9%)
iCPD13 (7.7%)
Patterns of response, including PSPD As defined above, we defined PSPD as a tumor progression (iUPD) that amended into iSD or iPR or iCR on further evaluations. Using this definition, we observed as much as 6 patients with PSPD (3.6%) out of the 169 patients. This consists in 7.8% of patients with iUPD at the first cycle (n = 76). Median time to the first CT scan showing tumor burden decrease compared with the prior CT scan was 2.2 months (range, 0.7‐3.7), and median time to the best overall response was 3.5 months (range, 0.7‐14.1). Overall, PSPD was observed in 6 patients (3.6%), with 4 (66.7%) and 2 (33.3%) patients exhibiting stable disease and partial responses respectively, after been classified as iUPD in the first evaluation. Distribution of the tumor responses across iRECIST criteria at the first tumor evaluation in patients with solid tumors treated by anti‐PD‐1/PD‐L1.) is described on Figure 2A.
Figure 2

A, Distribution of the tumor responses across the iRECIST criteria at the first tumor evaluation in patients with solid tumors treated by anti‐PD‐1/PD‐L1. B, Distribution of PSPD according to best overall response in patients with solid tumors treated by anti PD‐1/PD‐L1. C, Frequency of PSPD across different tumors types (Red)

A, Distribution of the tumor responses across the iRECIST criteria at the first tumor evaluation in patients with solid tumors treated by anti‐PD‐1/PD‐L1. B, Distribution of PSPD according to best overall response in patients with solid tumors treated by anti PD‐1/PD‐L1. C, Frequency of PSPD across different tumors types (Red) On the first evaluation iUPD (n = 77) was detected due to the appearance of new lesions and increase in the size of target lesions (TL) and both of them, in 9 patients, 29 patients and 38 patients, respectively (Figure 2B). Frequency of PSPD across different tumors types is illustrated on Figure 2C. PSDP occurred in 2 (1.2%) melanoma patients and 4 (2.3%) nonmelanoma patients. Phenotype PSPD included: 3 patients with increase in TL, 2 patients with new lesions and 1 patient with both of them (Table S1). Overall, two patients presented a partial response: 1 patient with a melanoma and 1 patient with colorectal cancer MSI‐H. The remaining 4 patients with a renal cell carcinoma, a sarcoma, a melanoma and a hepatocellular carcinoma displayed a stabilization of the disease. A description of the tumor burden evolution in the 6 patients with PSPD is represented in Figure 3. Median time to best response in this subset of patients was 4.3 months (2.8‐5.9).
Figure 3

Description of the tumor burden evolution in the 6 patients with PSPD: 2 melanoma patients (orange) and 4 nonmelanoma patients (green)

Description of the tumor burden evolution in the 6 patients with PSPD: 2 melanoma patients (orange) and 4 nonmelanoma patients (green) Univariate analyses seeking for association between clinical and pathological variables and PSPD did not find any significant association (Table 2).

Prognostic factors for pseudoprogressive disease (LDH, AGE, RMH score, previous lines, novel lesions)

Prognostic factors for PSPD disease are represented in Table 3. No association was found between PSPD and tumor burden at baseline (estimated by the RECIST sum; P = .3), number of metastatic sites (P = 1), or Royal Marsden Hospital (RMH) prognostic score (P = .85). Similarly tumor type did not show a significant association with a superior likelihood of achieving PSPD (P = 1).
Table 3

Patient characteristics and association between PSPD and clinical variables (univariate analysis)

 All patients (n = 169)Non‐PSPD (n = 163)PSPD (n = 6) P (Fisher exact test)
RMH score
043 (25%)38 (90.5%)2 (9.5%)0.85
161 (36.3%)55 (90.2%)2 (9.8%)
255 (32.7%)52 (94.5%)2 (5.5%)
310 (6%)10 (100%)0
Tumor type
Melanoma57 (33.9%)55 (96.5%)2 (3.5%)1.00
Non Melanoma112 (66.1%)108 (96.4%)4 (3.6%)
Gender
Male91 (54.2%)86 (96.6%)5 (3.4%)0.219
Female78 (45.8%)77 (98.7%)1 (3.9%)
Number of previous lines
021 (12.5%)20 (95.2%)1 (4.8%)0.5
133 (19%)31 (93.9%)2 (6.1%)
248 (28.6%)47 (97.9%)1 (2.1%)
≥367 (39.9%)65 (97%)2 (3%)
Previous chemotherapy
Yes117 (69.1%)93 (97.9%)2(2.1%)0.07
No52 (30.9%)70 (94.6%)4(5.4%)
Previous targeted therapy
Yes95 (56.6%)92 (96.7%)3 (3.3%)1.00
No74 (43.5%)71 (95.9%)3 (4.1%)
Previous immunotherapy
Yes26 (15.5%)24 (92.3%)2 (7.7%)0.23
No143 (84.5%)139 (97.2%)4 (2.8%)
Previous radiation therapy
Yes93 (56.5%)91 (93.5%)2 (2.2%)0.69
No76 (43.5%)72 (94.7%)4 (5.3%)
Type of immunotherapy
PD‐1 inhibitor95 (56.5%)93 (97.9%)2(2.1%)0.41
PD‐L1 inhibitor74 (42.9%)68 (91.9%)6 (8.1%)
Age (median, range)55 (20‐82)55 (20‐82)62 (22‐82)0.17
Baseline LDH (UI/L)207 (9‐1998)207 (94‐1998)190 (9‐741)0.49
Baseline Fibrinogen (g/L)4.8 (2.4‐9.6)4.8 (2.4‐2.6)4.3 (3‐7.9)0.99
Baseline Albumin (g/L)36 (20‐61)36 (20‐61)38 (30‐41)0.35
Tumor burden estimated by RECIST 1.1 (mm, range)75.5 (12‐ 364)73 (12‐364)62 (13‐140)0.30
LIVER METS
No105 (%)103 (98.1%)2 (1.9%)0.20
Yes64 (%)60 (93.8%)4 (6.2%)
Number of metastatic sites
<270 (41.7%)65 (%)1 (%)1
≥29 (58.3%)90 (%)5 (%)
Appearance of new lesions at E1 (iUPD = 76)
Yes48 (63.2%)45 (95.7%)3 (6.9%)0.76
No28 (36.8%)25 (89.3%)3 (10.7%)
Increase target lesions (iUPD = 76)
Yes64 (54.4%)60 (93.8%)4 (6.2%)0.04
No12 (45.6%)10 (83.3%)2 (16.7%)
Increase nontarget lesions (iUPD = 76)
Yes43 (%)42 (97.7%)1 (2.4%)0.97
No33 (%)28 (84.8%)5 (15.2%)

Abbreviations: CRP, C‐reactive protein; LDH, lactate dehydrogenase.

For continuous variables P value was calculated from Wilcoxon Rank Sum Test.

Patient characteristics and association between PSPD and clinical variables (univariate analysis) Abbreviations: CRP, C‐reactive protein; LDH, lactate dehydrogenase. For continuous variables P value was calculated from Wilcoxon Rank Sum Test. We examined the potential influence of previous therapies, including chemotherapy, radiation therapy, targeted therapies, and earlier immunotherapy. Results did not display association between PSPD and the number of previous lines (P = .49), nor previous treatment type including targeted therapy (P = 1), radiotherapy (P = .7) and immunotherapy (P = .41). The absence of previous conventional chemotherapy was associated with a trend for PSPD (P = .07). Results did not show statistically significant differences in the rate of PSPD between patients treated with anti‐PD(L)‐1 agents (P = .41). There was no difference within the baseline blood characteristics between PSPD and non‐PSPD patients at baseline such as LDH (P = .49), fibrinogen (P = 1), and albumin (P = .35). The association between PSPD and changes in target and nontarget lesions was also evaluated. Patients with an increase in target lesions were more likely to present PSPD (P = .04). We did not observe a significant difference between PSPD status and either an increase of nontarget lesions or the appearance of new lesions.

Association between iRECIST response, PSPD and survival

The median follow‐up time was 46 months (95% CI, 39.7‐49.3). Median PFS and OS were 17.4 months (95% CI, 6.2‐33.9) and 20.6 months (95% CI, 15.5‐34.7), respectively. Time to best overall response in PSPD patients was 4.3 months (range, 2.8‐5.9). To investigate the association between PSPD and prognosis, we performed Kaplan‐Meier OS estimates (landmark survival analysis) according to the following classes: iCR, iPR, iSD, PSPD, and progressive patients (iUPD and iCPD). Patients with a PSPD had a similar OS (median OS, 10.7 months; 95% CI, 6.5‐NA) when compared to patients with patients progressing in the first CT scan (median OS, 8.7 months; 95% CI, 7.1‐11.6 [HR 0.39, 95% CI, 0.14‐1.07; P = .07). Median OS was not reached in patients with CR and PR, and was 23.8 months (95% CI, 12.9‐41.3) in patients with SD. The overall log‐rank test was significant (P < 1e‐5) as well between all groups.

DISCUSSION

After being classified as progressive disease within the first radiological assessment, there is a small subset of patients treated with anti‐PD(L)‐1 monotherapy that appears to experience tumor responses as our results demonstrate. PSPD has been recently defined as an initial disease progression either by an increase in the size of lesions, or the appearance of new lesions within the first weeks after treatment onset.9 Conventional criteria for tumor response assessment is also known as Response Evaluation Criteria in Solid Tumors (RECIST) have been the standardized method to evaluate tumor responses to cytotoxic agents.16 The development of immunotherapy has implied the development of new criteria to appraise immune‐related responses.9, 17, 18 Within the first evaluation, 45% of patients displayed progressive disease classified as iUPD. Among these patients classified as iUPD, 8% of patients actually presented PSPD beyond the first evaluation. Nevertheless, this patient subgroup represents a substantial challenge given the absence of standardized criteria regarding clinical management of these patients. In this regard, a prompt therapy discontinuation in these patients presenting an early progressive disease within the first evaluation could imply a risk of dismissing a potentially effective drug. Interruption of treatment should be decided depending on whether patients are experiencing a clinical benefit and in the absence of severe toxicities. Globally, approximately 4% of our patients treated with an anti‐PD(L)‐1 agents displayed a PSPD at first evaluation. Together with previously published results, our study confirms that PSPD represents a relatively uncommon event as well a real challenge in the daily oncological practice. Our results showed that PSPD appears to be more frequent in patients experiencing an initial increase in target lesions, suggesting that PSPD should be investigated only in these patients. Biologic explanation of the increase in lesions including enlarging nodal, pulmonary or other visceral lesions has been reported as immune‐mediated sarcoid reactions with pathological reports of nonmalignant granulomas.19 Nevertheless, an initial increment of tumor burden along with the appearance of new lesions usually corresponds to a real disease progression and is accompanied by a clinical deterioration. To acknowledge the real impact of PSPD requires further studies in larger and prospective cohorts. Immune checkpoint inhibitors are now approved in a wide range of tumor types, including melanoma, NSCLC, RCC, HNSCC, urothelial, and microsatellite instability‐high (MSI) cancer, although response rates are different.14, 20, 21, 22, 23, 24 Similarly, different rates of PSPD have been described depending on the tumor type. Partial responses following an initial progression have been reported in 5%‐8% of melanoma and renal cell carcinoma patients treated with anti‐PD(L)‐1.14, 20 Lower rates of radiological responses or stabilizations have been outlined in other tumor types such as NSCLC, HNSCC and urothelial carcinomas, ranging from 1% to 7% in patients also treated with anti‐PD(L)‐1 agents. Pseudoprogression has also been pointed out in patients with MSI tumors treated with anti‐PD(L)‐1 agents.25 Overall, this event does not exceed 10% independent of tumor type. Interestingly, the two patients presenting a PSPD in our series had a melanoma and an MSI‐high CRC. These two tumor types are well‐known as hypermutated tumors and most likely to have immune responses, although translational studies exploring PSPD underlying mechanisms and how to predict this event are lacking. Circulating Tumor DNA (ctDNA) profiles have been evaluated as an early accurate biomarker able to identify pseudoprogressors and differentiate them from true progressors.26, 27 Performing sequential ctDNA tests to patients receiving anti‐PD(L)‐1 agents could represent an alternative to dynamically monitor these patients, although further validation is needed in larger cohorts of patients. In our series, patients who had not received a prior conventional chemotherapy tend to have more frequently a PSPD when compared to patients already treated with chemotherapy. Usually, heavily pretreated patients tend to have limited responses and these are short‐lasting. When analyzed by subgroups median survival of patients with PSPD was numerically superior to patients truly progressing (10.7 vs 8.7 months; P = .07). A recently published study demonstrated responder patients displayed a higher 12‐month OS rate than those with an initial increase in tumor burden (82% vs. 53%).28 Time to best overall response in PSPD patients ranged up to 5.9 months, with a median of 4 months. Interestingly, a similar study assessing only NSCLC patients reported tumor regression at 3 and 4 months after PSPD.24 Limitations of our study include its retrospective nature, heterogeneity of the patients including melanoma and nonmelanoma patients and the fact that it was developed in a single institution. Patients from our series had been previously heavily pretreated with a median of 2 previous therapy lines, including nearly 70% who had received chemotherapy and 57% targeted therapy. On the other hand, all patients from our study were treated on the basis of a phase I trial from 2011 to 2015, when most immunotherapy trials assessed anti‐PD(L)‐1 agents in the monotherapy setting. This fact implies that most patients were treated out of the scope of iRECIST criteria, that a percentage of these patients might have discontinued treatment without a confirmation of disease progression and, moreover, without the evolution of a potentially beneficial therapy. In addition and given the small number of patients included in our study, it seems clear that larger cohorts are needed to further assess the importance of immune‐related response and its impact on long‐term results. In conclusion, PSPD is a rare phenomenon observed in less than 5% of patients receiving anti‐PD(L)‐1 therapy. These patients present a longer overall survival than patients presenting a progressive disease, although not as encouraging as patients with real responses. We have not identified any clinical or analytical factor that may predict this type of response. Further investigation is warranted in order to identify PSPD patients and avoid therapy discontinuation, since a benefit in terms of OS may be observed after.

CONFLICT OF INTERESTS

The authors declare the following COI: Principal/sub‐Investigator of Clinical Trials for Abbvie, Agios Pharmaceuticals, Amgen, Argen‐X Bvba, Arno Therapeutics, Astex Pharmaceuticals, Astra Zeneca, Aveo, Bayer Healthcare Ag, Bbb Technologies Bv, Blueprint Medicines, Boehringer Ingelheim, Bristol Myers Squibb, Celgene Corporation, Chugai Pharmaceutical Co., Clovis Oncology, Daiichi Sankyo, Debiopharm SA, Eisai, Eli Lilly, Exelixis, Forma, Gamamabs, Genentech, Inc, Glaxosmithkline, H3 Biomedicine, Inc, Hoffmann La Roche Ag, Innate Pharma, Iris Servier, Janssen Cilag, Kyowa Kirin Pharm. Dev., Inc, Loxo Oncology, Lytix Biopharma As, Medimmune, Menarini Ricerche, Merck Sharp & Dohme Chibret, Merrimack Pharmaceuticals, Merus, Millennium Pharmaceuticals, Nanobiotix, Nektar Therapeutics, Novartis Pharma, Octimet Oncology Nv, Oncoethix, Onyx Therapeutics, Orion Pharma, Oryzon Genomics, Pfizer, Pharma Mar, Pierre Fabre, Roche, Sanofi Aventis, Taiho Pharma, Tesaro, Inc, Xencor. Research Grants from Astrazeneca, BMS, Boehringer Ingelheim, Janssen Cilag, Merck, Novartis, Pfizer, Roche, Sanofi. Non‐financial support (drug supplied) from Astrazeneca, Bayer, BMS, Boringher Ingelheim, Johnson & Johnson, Lilly, Medimmune, Merck, NH TherAGuiX, Pfizer, Roche. CM has received honoraria from Astellas, Astra Zeneca, Bayer, BeiGene, BMS, Celgene, Debiopharm, Genentech, Ipsen, Janssen, Lilly, MedImmune, MSD, Novartis, Pfizer, Roche, Sanofi, Orion; SC has received honoraria from AstraZeneca, BMS, Janssen, MSD, Novartis and Roche. A. H. has received honoraria from Amgen, Spectrum Pharmaceuticals, Lilly. Over the last 5 years, Dr Soria has received consultancy fees from AstraZeneca, Astex, Clovis, GSK, GamaMabs, Lilly, MSD, Mission Therapeutics, Merus, Pfizer, PharmaMar, Pierre Fabre, Roche/Genentech, Sanofi, Servier, Symphogen, and Takeda. Dr Soria has been a full‐time employee of AstraZeneca since September 2017. He is a shareholder of AstraZeneca and Gritstone. CF became a full‐time employee of Medimmune/AstraZeneca after this article was commissioned. AM has received honoraria from GSK, AstraZeneca, Oncovir, Merck Serono, eTheRNA, Lytix pharma, Kyowa Kirin Pharma, Bayer, Novartis, BMS, Symphogen, Genmab, Amgen, Biothera, Nektar, Pfizer, Seattle Genetics, Flexus Bio, Roche/Genentech, OSE immunotherapeutics, Transgene, Gritstone, Merck (MSD), Cerenis, Innate pharma, Protagen, Partner Therapeutics, Servier. SPV has received honoraria from Merck KGaA, AstraZeneca. EC has received honoraria from BMS, Roche, MSD and Medimmune.

AUTHORS’ CONTRIBUTIONS

Conception and design: PMR, SA, ECA, CF, CM. Provision of study materials or patients: All authors. Collection and assembly of data: PMR, SA, ECA, CF, CM. Data analysis and interpretation: All authors. Manuscript writing: All authors. Final approval of manuscript: All authors. Accountable for all aspects of the work: All authors.

ETHICAL STANDARDS AND CONSENT TO PARTICIPATE

All procedures followed were in accordance with the ethical standards of the responsible committee on human experimentation (institutional and national) and with the Helsinki Declaration of 1964 and later versions. Informed consent was obtained from all patients for being included in the study.

CONSENT FOR PUBLICATION

Not applicable. Click here for additional data file.
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Journal:  N Engl J Med       Date:  2015-05-30       Impact factor: 91.245

5.  Nivolumab versus chemotherapy in patients with advanced melanoma who progressed after anti-CTLA-4 treatment (CheckMate 037): a randomised, controlled, open-label, phase 3 trial.

Authors:  Jeffrey S Weber; Sandra P D'Angelo; David Minor; F Stephen Hodi; Ralf Gutzmer; Bart Neyns; Christoph Hoeller; Nikhil I Khushalani; Wilson H Miller; Christopher D Lao; Gerald P Linette; Luc Thomas; Paul Lorigan; Kenneth F Grossmann; Jessica C Hassel; Michele Maio; Mario Sznol; Paolo A Ascierto; Peter Mohr; Bartosz Chmielowski; Alan Bryce; Inge M Svane; Jean-Jacques Grob; Angela M Krackhardt; Christine Horak; Alexandre Lambert; Arvin S Yang; James Larkin
Journal:  Lancet Oncol       Date:  2015-03-18       Impact factor: 41.316

6.  Safety and activity of anti-PD-L1 antibody in patients with advanced cancer.

Authors:  Julie R Brahmer; Scott S Tykodi; Laura Q M Chow; Wen-Jen Hwu; Suzanne L Topalian; Patrick Hwu; Charles G Drake; Luis H Camacho; John Kauh; Kunle Odunsi; Henry C Pitot; Omid Hamid; Shailender Bhatia; Renato Martins; Keith Eaton; Shuming Chen; Theresa M Salay; Suresh Alaparthy; Joseph F Grosso; Alan J Korman; Susan M Parker; Shruti Agrawal; Stacie M Goldberg; Drew M Pardoll; Ashok Gupta; Jon M Wigginton
Journal:  N Engl J Med       Date:  2012-06-02       Impact factor: 91.245

7.  Circulating tumor DNA changes for early monitoring of anti-PD1 immunotherapy: a proof-of-concept study.

Authors:  L Cabel; F Riva; V Servois; A Livartowski; C Daniel; A Rampanou; O Lantz; E Romano; M Milder; B Buecher; S Piperno-Neumann; V Bernard; S Baulande; I Bieche; J Y Pierga; C Proudhon; F-C Bidard
Journal:  Ann Oncol       Date:  2017-08-01       Impact factor: 32.976

8.  Nivolumab for Patients With Advanced Melanoma Treated Beyond Progression: Analysis of 2 Phase 3 Clinical Trials.

Authors:  Georgina V Long; Jeffrey S Weber; James Larkin; Victoria Atkinson; Jean-Jacques Grob; Dirk Schadendorf; Reinhard Dummer; Caroline Robert; Ivan Márquez-Rodas; Catriona McNeil; Henrik Schmidt; Karen Briscoe; Jean-François Baurain; F Stephen Hodi; Jedd D Wolchok
Journal:  JAMA Oncol       Date:  2017-11-01       Impact factor: 31.777

9.  PD-1 blockade induces responses by inhibiting adaptive immune resistance.

Authors:  Paul C Tumeh; Christina L Harview; Jennifer H Yearley; I Peter Shintaku; Emma J M Taylor; Lidia Robert; Bartosz Chmielowski; Marko Spasic; Gina Henry; Voicu Ciobanu; Alisha N West; Manuel Carmona; Christine Kivork; Elizabeth Seja; Grace Cherry; Antonio J Gutierrez; Tristan R Grogan; Christine Mateus; Gorana Tomasic; John A Glaspy; Ryan O Emerson; Harlan Robins; Robert H Pierce; David A Elashoff; Caroline Robert; Antoni Ribas
Journal:  Nature       Date:  2014-11-27       Impact factor: 49.962

10.  Nivolumab monotherapy in recurrent metastatic urothelial carcinoma (CheckMate 032): a multicentre, open-label, two-stage, multi-arm, phase 1/2 trial.

Authors:  Padmanee Sharma; Margaret K Callahan; Petri Bono; Joseph Kim; Pavlina Spiliopoulou; Emiliano Calvo; Rathi N Pillai; Patrick A Ott; Filippo de Braud; Michael Morse; Dung T Le; Dirk Jaeger; Emily Chan; Chris Harbison; Chen-Sheng Lin; Marina Tschaika; Alex Azrilevich; Jonathan E Rosenberg
Journal:  Lancet Oncol       Date:  2016-10-09       Impact factor: 41.316

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  11 in total

1.  Immune-related dissociated response as a specific atypical response pattern in solid tumors with immune checkpoint blockade.

Authors:  Yaping Guan; Dongfeng Feng; Beibei Yin; Kun Li; Jun Wang
Journal:  Ther Adv Med Oncol       Date:  2022-05-06       Impact factor: 5.485

2.  Evidence of pseudoprogression in patients treated with PD1/PDL1 antibodies across tumor types.

Authors:  Patricia Martin-Romano; Eduardo Castanon; Samy Ammari; Stéphane Champiat; Antoine Hollebecque; Sophie Postel-Vinay; Capucine Baldini; Andrea Varga; Jean Marie Michot; Perrine Vuagnat; Aurélien Marabelle; Jean-Charles Soria; Charles Ferté; Christophe Massard
Journal:  Cancer Med       Date:  2020-02-19       Impact factor: 4.452

3.  Genomic predictors of response to PD-1 inhibition in children with germline DNA replication repair deficiency.

Authors:  Anirban Das; Sumedha Sudhaman; Daniel Morgenstern; Ailish Coblentz; Jiil Chung; Simone C Stone; Noor Alsafwani; Zhihui Amy Liu; Ola Abu Al Karsaneh; Shirin Soleimani; Hagay Ladany; David Chen; Matthew Zatzman; Vanja Cabric; Liana Nobre; Vanessa Bianchi; Melissa Edwards; Lauren C Sambira Nahum; Ayse B Ercan; Arash Nabbi; Shlomi Constantini; Rina Dvir; Michal Yalon-Oren; Gadi Abebe Campino; Shani Caspi; Valerie Larouche; Alyssa Reddy; Michael Osborn; Gary Mason; Scott Lindhorst; Annika Bronsema; Vanan Magimairajan; Enrico Opocher; Rebecca Loret De Mola; Magnus Sabel; Charlotta Frojd; David Sumerauer; David Samuel; Kristina Cole; Stefano Chiaravalli; Maura Massimino; Patrick Tomboc; David S Ziegler; Ben George; An Van Damme; Nobuko Hijiya; David Gass; Rose B McGee; Oz Mordechai; Daniel C Bowers; Theodore W Laetsch; Alexander Lossos; Deborah T Blumenthal; Tomasz Sarosiek; Lee Yi Yen; Jeffrey Knipstein; Anne Bendel; Lindsey M Hoffman; Sandra Luna-Fineman; Stefanie Zimmermann; Isabelle Scheers; Kim E Nichols; Michal Zapotocky; Jordan R Hansford; John M Maris; Peter Dirks; Michael D Taylor; Abhaya V Kulkarni; Manohar Shroff; Derek S Tsang; Anita Villani; Wei Xu; Melyssa Aronson; Carol Durno; Adam Shlien; David Malkin; Gad Getz; Yosef E Maruvka; Pamela S Ohashi; Cynthia Hawkins; Trevor J Pugh; Eric Bouffet; Uri Tabori
Journal:  Nat Med       Date:  2022-01-06       Impact factor: 87.241

4.  CT-Based Peritumoral and Intratumoral Radiomics as Pretreatment Predictors of Atypical Responses to Immune Checkpoint Inhibitor Across Tumor Types: A Preliminary Multicenter Study.

Authors:  Shuai He; Yuqing Feng; Qi Lin; Lihua Wang; Lijun Wei; Jing Tong; Yuwei Zhang; Ying Liu; Zhaoxiang Ye; Yan Guo; Tao Yu; Yahong Luo
Journal:  Front Oncol       Date:  2021-10-18       Impact factor: 6.244

5.  Tumor response as defined by iRECIST in gastrointestinal malignancies treated with PD-1 and PD-L1 inhibitors and correlation with survival.

Authors:  Peiyi Xie; Hong Zheng; Haiyang Chen; Kaikai Wei; Ximin Pan; Qinmei Xu; Yongchen Wang; Changguan Tang; Olivier Gevaert; Xiaochun Meng
Journal:  BMC Cancer       Date:  2021-11-19       Impact factor: 4.430

6.  Joint EANM/SNMMI/ANZSNM practice guidelines/procedure standards on recommended use of [18F]FDG PET/CT imaging during immunomodulatory treatments in patients with solid tumors version 1.0.

Authors:  E Lopci; R J Hicks; A Dimitrakopoulou-Strauss; L Dercle; A Iravani; R D Seban; C Sachpekidis; O Humbert; O Gheysens; A W J M Glaudemans; W Weber; R L Wahl; A M Scott; N Pandit-Taskar; N Aide
Journal:  Eur J Nucl Med Mol Imaging       Date:  2022-04-04       Impact factor: 10.057

7.  Comparison of personal and shared frameshift neoantigen vaccines in a mouse mammary cancer model.

Authors:  Milene Peterson; Sierra Nicole Murphy; John Lainson; Jian Zhang; Luhui Shen; Chris W Diehnelt; Stephen Albert Johnston
Journal:  BMC Immunol       Date:  2020-05-05       Impact factor: 3.615

8.  RECIST and iRECIST criteria for the evaluation of nivolumab plus ipilimumab in patients with microsatellite instability-high/mismatch repair-deficient metastatic colorectal cancer: the GERCOR NIPICOL phase II study.

Authors:  Romain Cohen; Jaafar Bennouna; Aurélia Meurisse; Christophe Tournigand; Christelle De La Fouchardière; David Tougeron; Christophe Borg; Thibault Mazard; Benoist Chibaudel; Marie-Line Garcia-Larnicol; Magali Svrcek; Dewi Vernerey; Yves Menu; Thierry André
Journal:  J Immunother Cancer       Date:  2020-11       Impact factor: 13.751

9.  In Vivo Measurement of Granzyme Proteolysis from Activated Immune Cells with PET.

Authors:  Ning Zhao; Conner Bardine; André Luiz Lourenço; Yung-Hua Wang; Yangjie Huang; Simon J Cleary; David M Wilson; David Y Oh; Lawrence Fong; Mark R Looney; Michael J Evans; Charles S Craik
Journal:  ACS Cent Sci       Date:  2021-09-02       Impact factor: 18.728

10.  First-in-human phase 1 study of budigalimab, an anti-PD-1 inhibitor, in patients with non-small cell lung cancer and head and neck squamous cell carcinoma.

Authors:  Antoine Italiano; Philippe A Cassier; Chia-Chi Lin; Tuomo Alanko; Katriina J Peltola; Anas Gazzah; Her-Shyong Shiah; Emiliano Calvo; Andrés Cervantes; Desamparados Roda; Diego Tosi; Bo Gao; Michael Millward; Lydia Warburton; Minna Tanner; Stefan Englert; Stacie Lambert; Apurvasena Parikh; Daniel E Afar; Gregory Vosganian; Victor Moreno
Journal:  Cancer Immunol Immunother       Date:  2021-07-03       Impact factor: 6.968

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