Dataset Information

Clinical Features and Multiplatform Molecular Analysis Assist in Understanding Patient Response to Anti-PD-1/PD-L1 in Renal Cell Carcinoma.

ABSTRACT: Predicting response to ICI therapy among patients with renal cell carcinoma (RCC) has been uniquely challenging. We analyzed patient characteristics and clinical correlates from a retrospective single-site cohort of advanced RCC patients receiving anti-PD-1/PD-L1 monotherapy (N = 97), as well as molecular parameters in a subset of patients, including multiplexed immunofluorescence (mIF), whole exome sequencing (WES), T cell receptor (TCR) sequencing, and RNA sequencing (RNA-seq). Clinical factors such as the development of immune-related adverse events (odds ratio (OR) = 2.50, 95% confidence interval (CI) = 1.05-5.91) and immunological prognostic parameters, including a higher percentage of circulating lymphocytes (23.4% vs. 17.4%, p = 0.0015) and a lower percentage of circulating neutrophils (61.8% vs. 68.5%, p = 0.0045), correlated with response. Previously identified gene expression signatures representing pathways of angiogenesis, myeloid inflammation, T effector presence, and clear cell signatures also correlated with response. High PD-L1 expression (>10% cells) as well as low TCR diversity (≤644 clonotypes) were associated with improved progression-free survival (PFS). We corroborate previously published findings and provide preliminary evidence of T cell clonality impacting the outcome of RCC patients. To further biomarker development in RCC, future studies will benefit from integrated analysis of multiple molecular platforms and prospective validation.

SUBMITTER: Shiuan E

PROVIDER: S-EPMC8004696 | biostudies-literature | 2021 Mar

REPOSITORIES: biostudies-literature

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Clinical Features and Multiplatform Molecular Analysis Assist in Understanding Patient Response to Anti-PD-1/PD-L1 in Renal Cell Carcinoma.

Shiuan Eileen E Reddy Anupama A Dudzinski Stephanie O SO Lim Aaron R AR Sugiura Ayaka A Hongo Rachel R Young Kirsten K Liu Xian-De XD Smith Christof C CC O'Neal Jamye J Dahlman Kimberly B KB McAlister Renee R Chen Beiru B Ruma Kristen K Roscoe Nathan N Bender Jehovana J Ward Joolz J Kim Ju Young JY Vaupel Christine C Bordeaux Jennifer J Ganesan Shridar S Mayer Tina M TM Riedlinger Gregory M GM Vincent Benjamin G BG Davis Nancy B NB Haake Scott M SM Rathmell Jeffrey C JC Jonasch Eric E Rini Brian I BI Rathmell W Kimryn WK Beckermann Kathryn E KE

Cancers 20210323 6

Predicting response to ICI therapy among patients with renal cell carcinoma (RCC) has been uniquely challenging. We analyzed patient characteristics and clinical correlates from a retrospective single-site cohort of advanced RCC patients receiving anti-PD-1/PD-L1 monotherapy (N = 97), as well as molecular parameters in a subset of patients, including multiplexed immunofluorescence (mIF), whole exome sequencing (WES), T cell receptor (TCR) sequencing, and RNA sequencing (RNA-seq). Clinical factor ...[more]

PMID: 33806963

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Project description:BackgroundSalvage nivolumab and ipilimumab after prior anti-PD-1/PD-L1 therapy is frequently used off-label for clear cell metastatic renal cell carcinoma (mRCC). However, limited data are available to guide such therapy. We performed a meta-analysis to characterize further the safety and efficacy of salvage nivolumab and ipilimumab.MethodsWe conducted a systematic review in accordance with PRISMA. Studies of salvage nivolumab and ipilimumab in patients with mRCC published in English before June 1, 2021 were included. We also included patients treated at the Ohio State University from 2012 to 2020 through a retrospective chart review. The included studies were further stratified into adaptive and standard groups based on their designs. We calculated objective response rate (ORR) and adverse events (AEs) via pooled data and quantitative synthesis using the Stata metaprop procedure. A conservative random effect model was used to combine values.ResultsA total of 7 studies and 310 patients were included. Salvage nivolumab and ipilimumab had an ORR of 14% (95% CI, 0.09-0.21) and median progression-free survival ranged between 3.7 and 5.5 months. Four out of the seven studies were standard design, whereas the other three studies were adaptive. The ORR was numerically higher in the standard group compared with the adaptive group (21% and 9-10%, respectively). The responses to salvage nivolumab and ipilimumab did not correlate with the initial anti-PD-1/PD-L1 responses (odds ratio = 1.45; p = 0.5). Grade ≥3 AEs occurred in 26% of the patients (95% CI, 0.19-0.33). There were no new safety signals observed in this study.ConclusionSalvage nivolumab and ipilimumab demonstrated moderate antitumor activity and a manageable safety profile in patients with mRCC who had prior anti-PD-1/PD-L1 therapy.Implication for practicePatients with metastatic renal cell carcinoma have limited treatment options after progressive disease on anti-PD-1/PD-L1 therapy. The role of salvage nivolumab and ipilimumab in this patient population is poorly defined. The studies on this highly important and clinically relevant topic are limited by small sample sizes. The results from our meta-analysis suggest that nivolumab and ipilimumab are feasible in the salvage setting with moderate efficacy and acceptable toxicity profile. The response rates differ with different treatment designs. This information will be beneficial to guide clinical decision-making and accurately estimating toxicity.

Project description:BackgroundClear cell renal cell carcinoma (ccRCC) is a highly invasive and metastatic subtype of kidney malignancy and is correlated with metabolic reprogramming for adaptation to the tumor microenvironment comprising infiltrated immune cells and immunomodulatory molecules. The role of immune cells in the tumor microenvironment (TME) and their association with abnormal fatty acids metabolism in ccRCC remains poorly understood.MethodRNA-seq and clinical data of KIRC from The Cancer Genome Atlas (TCGA) and E-MTAB-1980 from the ArrayExpress dataset. The Nivolumab group and Everolimus group of the CheckMate 025 study, the Atezolizumab arm of IMmotion150 and the Atezolizumab plus Bevacizumab group of IMmotion151 cohort were obtained for subsequent analysis. After differential expression genes identification, the signature was constructed through univariate Cox proportional hazard regression and simultaneously the least absolute shrinkage and selection operator (Lasso) analysis and the predictive performance of our signature was assessed by using receiver operating characteristic (ROC), Kaplan-Meier (KM) survival analysis, nomogram, drug sensitivity analysis, immunotherapeutic effect analysis and enrichment analysis. Immunohistochemistry (IHC), qPCR and western blot were performed to measure related mRNA or protein expression. Biological features were evaluated by wound healing, cell migration and invasion assays and colony formation test and analyzed using coculture assay and flow cytometry.ResultsTwenty fatty acids metabolism-related mRNA signatures were constructed in TCGA and possessed a strong predictive performance demonstrated through time-dependent ROC and KM survival analysis. Notably, the high-risk group exhibited an impaired response to anti-PD-1/PD-L1 (Programmed death-1 receptor/Programmed death-1 receptor-ligand) therapy compared to the low-risk group. The overall levels of the immune score were higher in the high-risk group. Additionally, drug sensitivity analysis observed that the model could effectively predict efficacy and sensitivity to chemotherapy. Enrichment analysis revealed that the IL6-JAK-STAT3 signaling pathway was a major pathway. IL4I1 could promote ccRCC cells' malignant features through JAK1/STAT3 signaling pathway and M2-like macrophage polarization.ConclusionThe study elucidates that targeting fatty acids metabolism can affect the therapeutic effect of PD-1/PD-L1 in TME and related signal pathways. The model can effectively predict the response to several treatment options, underscoring its potential clinical utility.

Dataset Information

Clinical Features and Multiplatform Molecular Analysis Assist in Understanding Patient Response to Anti-PD-1/PD-L1 in Renal Cell Carcinoma.

Publications

Clinical Features and Multiplatform Molecular Analysis Assist in Understanding Patient Response to Anti-PD-1/PD-L1 in Renal Cell Carcinoma.

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