Literature DB >> 35802667

Transcriptomic Correlates of Tumor Cell PD-L1 Expression and Response to Nivolumab Monotherapy in Metastatic Clear Cell Renal Cell Carcinoma.

Thomas Denize1,2, Yue Hou3,4, Jean-Christophe Pignon1,2, Emily Walton1, Destiny J West1, Gordon J Freeman2,4, David A Braun2,4,5,6, Catherine J Wu2,4,5, Saurabh Gupta7, Robert J Motzer8, Michael B Atkins9, David McDermott2,10, Toni K Choueiri2,4,5, Sachet A Shukla2,4,5,11, Sabina Signoretti1,2,5,12.   

Abstract

PURPOSE: PD-L1 expression on tumor cells (TC) is associated with response to anti-PD-1-based therapies in some tumor types, but its significance in clear cell renal cell carcinoma (ccRCC) is uncertain. We leveraged tumor heterogeneity to identify molecular correlates of TC PD-L1 expression in ccRCC and assessed their role in predicting response to anti-PD-1 monotherapy. EXPERIMENTAL
DESIGN: RNA sequencing was performed on paired TC PD-L1 positive and negative areas isolated from eight ccRCC tumors and transcriptomic features associated with PD-L1 status were identified. A cohort of 232 patients with metastatic ccRCC from the randomized CheckMate-025 (CM-025) trial was used to confirm the findings and correlate transcriptomic profiles with clinical outcomes.
RESULTS: In both the paired samples and the CM-025 cohort, TC PD-L1 expression was associated with combined overexpression of immune- and cell proliferation-related pathways, upregulation of T-cell activation signatures, and increased tumor-infiltrating immune cells. In the CM-025 cohort, TC PD-L1 expression was not associated with clinical outcomes. A molecular RCC subtype characterized by combined overexpression of immune- and cell proliferation-related pathways (previously defined by unsupervised clustering of transcriptomic data) was enriched in TC PD-L1 positive tumors and displayed longer progression-free survival (HR, 0.32; 95% confidence interval, 0.13-0.83) and higher objective response rate (30% vs. 0%, P = 0.04) on nivolumab compared with everolimus.
CONCLUSIONS: Both TC-extrinsic (immune-related) and TC-intrinsic (cell proliferation-related) mechanisms are likely intertwined in the regulation of TC PD-L1 expression in ccRCC. The quantitation of these transcriptional programs may better predict benefit from anti-PD-1-based therapy compared with TC PD-L1 expression alone in ccRCC. ©2022 American Association for Cancer Research.

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Year:  2022        PMID: 35802667      PMCID: PMC9481706          DOI: 10.1158/1078-0432.CCR-22-0923

Source DB:  PubMed          Journal:  Clin Cancer Res        ISSN: 1078-0432            Impact factor:   13.801


  90 in total

1.  Metagenes and molecular pattern discovery using matrix factorization.

Authors:  Jean-Philippe Brunet; Pablo Tamayo; Todd R Golub; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2004-03-11       Impact factor: 11.205

2.  Constitutive AP-1 activity and EBV infection induce PD-L1 in Hodgkin lymphomas and posttransplant lymphoproliferative disorders: implications for targeted therapy.

Authors:  Michael R Green; Scott Rodig; Przemyslaw Juszczynski; Jing Ouyang; Papiya Sinha; Evan O'Donnell; Donna Neuberg; Margaret A Shipp
Journal:  Clin Cancer Res       Date:  2012-01-23       Impact factor: 12.531

3.  Summary From the First Kidney Cancer Research Summit, September 12-13, 2019: A Focus on Translational Research.

Authors:  Toni K Choueiri; Michael B Atkins; Ziad Bakouny; Maria I Carlo; Charles G Drake; Eric Jonasch; Payal Kapur; Bryan Lewis; W Marston Linehan; Michael J Mitchell; Sumanta K Pal; Kevin Pels; Susan Poteat; W Kimryn Rathmell; Brian I Rini; Sabina Signoretti; Nizar Tannir; Robert Uzzo; Christopher G Wood; Hans J Hammers
Journal:  J Natl Cancer Inst       Date:  2021-03-01       Impact factor: 13.506

4.  BIN1 reverses PD-L1-mediated immune escape by inactivating the c-MYC and EGFR/MAPK signaling pathways in non-small cell lung cancer.

Authors:  J Wang; Y Jia; S Zhao; X Zhang; X Wang; X Han; Y Wang; M Ma; J Shi; L Liu
Journal:  Oncogene       Date:  2017-07-17       Impact factor: 9.867

5.  Endogenous retroviral signatures predict immunotherapy response in clear cell renal cell carcinoma.

Authors:  Christof C Smith; Kathryn E Beckermann; Dante S Bortone; Aguirre A De Cubas; Lisa M Bixby; Samuel J Lee; Anshuman Panda; Shridar Ganesan; Gyan Bhanot; Eric M Wallen; Matthew I Milowsky; William Y Kim; W Kimryn Rathmell; Ronald Swanstrom; Joel S Parker; Jonathan S Serody; Sara R Selitsky; Benjamin G Vincent
Journal:  J Clin Invest       Date:  2018-10-02       Impact factor: 14.808

6.  Oncogenic kinase NPM/ALK induces through STAT3 expression of immunosuppressive protein CD274 (PD-L1, B7-H1).

Authors:  Michal Marzec; Qian Zhang; Ami Goradia; Puthiyaveettil N Raghunath; Xiaobin Liu; Michele Paessler; Hong Yi Wang; Maria Wysocka; Mangeng Cheng; Bruce A Ruggeri; Mariusz A Wasik
Journal:  Proc Natl Acad Sci U S A       Date:  2008-12-16       Impact factor: 11.205

7.  HTSeq--a Python framework to work with high-throughput sequencing data.

Authors:  Simon Anders; Paul Theodor Pyl; Wolfgang Huber
Journal:  Bioinformatics       Date:  2014-09-25       Impact factor: 6.937

8.  Determining cell type abundance and expression from bulk tissues with digital cytometry.

Authors:  Aaron M Newman; Chloé B Steen; Chih Long Liu; Andrew J Gentles; Aadel A Chaudhuri; Florian Scherer; Michael S Khodadoust; Mohammad S Esfahani; Bogdan A Luca; David Steiner; Maximilian Diehn; Ash A Alizadeh
Journal:  Nat Biotechnol       Date:  2019-05-06       Impact factor: 54.908

9.  PTEN loss increases PD-L1 protein expression and affects the correlation between PD-L1 expression and clinical parameters in colorectal cancer.

Authors:  Minmin Song; Defeng Chen; Biyan Lu; Chenliang Wang; Junxiao Zhang; Lanlan Huang; Xiaoyan Wang; Christine L Timmons; Jun Hu; Bindong Liu; Xiaojian Wu; Lei Wang; Jianping Wang; Huanliang Liu
Journal:  PLoS One       Date:  2013-06-13       Impact factor: 3.240

10.  Gastric cancer mesenchymal stem cells derived IL-8 induces PD-L1 expression in gastric cancer cells via STAT3/mTOR-c-Myc signal axis.

Authors:  Li Sun; Qianqian Wang; Bin Chen; Yuanyuan Zhao; Bo Shen; Hua Wang; Jing Xu; Miaolin Zhu; Xiangdong Zhao; Changgen Xu; Zhihong Chen; Mei Wang; Wenrong Xu; Wei Zhu
Journal:  Cell Death Dis       Date:  2018-09-11       Impact factor: 8.469

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