Dataset Information

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

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.

SUBMITTER: Martin-Romano P

PROVIDER: S-EPMC7163099 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

ACCESS DATA

Publications

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

Martin-Romano Patricia P Castanon Eduardo E Ammari Samy S Champiat Stéphane S Hollebecque Antoine A Postel-Vinay Sophie S Baldini Capucine C Varga Andrea A Michot Jean Marie JM Michot Jean Marie JM Vuagnat Perrine P Marabelle Aurélien A Soria Jean-Charles JC Ferté Charles C Massard Christophe C

Cancer medicine 20200219 8

<h4>Background</h4>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.<h4>Methods</h4>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 ...[more]

PMID: 32074405

Similar Datasets

Project description:Importance:Longitudinal circulating tumor DNA (ctDNA) has been shown to predict response and survival in patients with metastatic melanoma treated with anti-programmed cell death 1 (PD-1) antibodies. Pseudoprogression, defined as radiologic finding of disease progression prior to response, has been a challenge to clinicians. Objective:To establish whether ctDNA at baseline and up to week 12 of treatment can differentiate between the radiologic findings of pseudoprogression and true progression in patients with metastatic melanoma. Design, Setting, and Participants:This explorative biomarker study examined circulating BRAF and NRAS mutations in a cohort of 125 patients with melanoma receiving PD-1 antibodies alone or in combination with ipilimumab between July 3, 2014, and May 24, 2016. Pseudoprogression was defined retrospectively as radiologic progression not confirmed as progressive disease at the next radiologic assessment. Plasma samples of ctDNA at baseline and while receiving treatment were taken for analysis prospectively over the first 12 weeks of treatment. Favorable ctDNA profile (undetectable ctDNA at baseline or detectable ctDNA at baseline followed by >10-fold decrease) and unfavorable ctDNA profile (detectable ctDNA at baseline that remained stable or increased) were correlated with response and prognosis. Main Outcomes and Measures:Early differentiation of pseudoprogression from true progression using longitudinal ctDNA profile. Results:According to guidelines by Response Evaluation Criteria in Solid Tumors (RECIST), progressive disease occurred in 29 of the 125 patients (23.2%). Of the 29 patients, 17 (59%) were 65 years or younger, 18 (62%) were men, 9 (31%) had pseudoprogression, and 20 (69%) had true progression. Of the 9 patients (7%) with confirmed pseudoprogression, all patients had a favorable ctDNA profile. At a median follow-up of 110 weeks, 7 of 9 patients (78%) were alive. All but 2 patients with true progression had an unfavorable ctDNA profile. Sensitivity of ctDNA for predicting pseudoprogression was 90% (95% CI, 68%-99%) and specificity was 100% (95% CI, 60%-100%). The 1-year survival for patients with RECIST-defined progressive disease and favorable ctDNA was 82% vs 39% for unfavorable ctDNA (hazard ratio [HR], 4.8; 95% CI, 1.6-14.3; P = .02). Overall survival was longer in patients with a partial response (54 of 125 patients [43%]) compared with patients with progressive disease and a favorable ctDNA profile (11 of 125 patients [9%]; HR, 0.09; 95% CI, 0.01-0.80; P < .01). Conclusions and Relevance:The results demonstrate that ctDNA profiles can accurately differentiate pseudoprogression from true progression of disease in patients with melanoma treated with PD-1 antibodies. Results of this blood test performed at regular intervals during systemic treatment reflect tumor biology and have potential as a powerful biomarker to predict long-term response and survival.

Project description:BackgroundThere is great interest in finding ways to identify patients who will develop toxicity to cancer therapies. This has become especially pressing in the era of immune therapy, where toxicity can be long-lasting and life-altering, and primarily comes in the form of immune-related adverse effects (irAEs). Treatment with the first drugs in this class, anti-programmed death 1 (anti-PD1)/programmed death-ligand 1 (PDL1) checkpoint therapies, results in grade 2 or higher irAEs in up to 25%-30% of patients, which occur most commonly within the first 6 months of treatment and can include arthralgias, rash, pruritus, pneumonitis, diarrhea and/or colitis, hepatitis, and endocrinopathies. We tested the hypothesis that germline microRNA pathway functional variants, known to predict altered systemic stress responses to cancer therapies, would predict irAEs in patients across cancer types.MethodsMicroRNA pathway variants were evaluated for an association with grade 2 or higher toxicity using four classifiers on 62 patients with melanoma, and then the panel's performance was validated on 99 patients with other cancer types. Trained classifiers included classification trees, LASSO-regularized logistic regression, boosted trees, and random forests. Final performance measures were reported on the training set using leave-one-out cross validation and validated on held-out samples. The predicted probability of toxicity was evaluated for its association, if any, with response categories to anti-PD1/PDL1 therapy in the melanoma cohort.ResultsA biomarker panel was identified that predicts toxicity with 80% accuracy (F1=0.76, area under the curve (AUC)=0.82) in the melanoma training cohort and 77.6% accuracy (F1=0.621, AUC=0.778) in the pan-cancer validation cohort. In the melanoma cohort, the predictive probability of toxicity was not associated with response categories to anti-PD1/PDL1 therapy (p=0.70). In the same cohort, the most significant biomarker of toxicity in RAC1, predicting a greater than ninefold increased risk of toxicity (p<0.001), was also not associated with response to anti-PD1/PDL1 therapy (p=0.151).ConclusionsA germline microRNA-based biomarker signature predicts grade 2 and higher irAEs to anti-PD1/PDL1 therapy, regardless of tumor type, in a pan-cancer manner. These findings represent an important step toward personalizing checkpoint therapy, the use of which is growing rapidly.

Dataset Information

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

Background

Methods

Results

Conclusions

Publications

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

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets