Literature DB >> 36252996

Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma.

Landon C Brown1,2, Jason Zhu1,2, Kunal Desai3, Emily Kinsey2, Chester Kao2, Yong Hee Lee4, Sarabjot Pabla4, Matthew K Labriola2, Jennifer Tran5, Konstantin H Dragnev6, Laura J Tafe6, Farshid Dayyani7, Rajan T Gupta2, Shannon McCall2, Daniel J George2, Sean T Glenn8,9, Mary K Nesline9, Saby George10, Matthew Zibelman11, Carl Morrison4, Moshe C Ornstein5, Tian Zhang12,13.   

Abstract

BACKGROUND: Immunotherapy combinations including ipilimumab and nivolumab are now the standard of care for untreated metastatic renal cell carcinoma (mRCC). Biomarkers of response are lacking to predict patients who will have a favorable or unfavorable response to immunotherapy. This study aimed to use the OmniSeq transcriptome-based platform to develop biomarkers of response to immunotherapy.
METHODS: Two cohorts of patients were retrospectively collected. These included an investigational cohort of patients with mRCC treated with immune checkpoint inhibitor therapy from five institutions, and a subsequent validation cohort of patients with mRCC treated with combination ipilimumab and nivolumab from two institutions (Duke Cancer Institute and Cleveland Clinic Taussig Cancer Center). Tissue-based RNA sequencing was performed using the OmniSeq Immune Report Card on banked specimens to identify gene signatures and immune checkpoints associated with differential clinical outcomes. A 5-gene expression panel was developed based on the investigational cohort and was subsequently evaluated in the validation cohort. Clinical outcomes including progression-free survival (PFS) and overall survival (OS) were extracted by retrospective chart review. Objective response rate (ORR) was assessed by Response Evaluation Criteria in Solid Tumors (RECIST) V.1.1.
RESULTS: The initial investigation cohort identified 86 patients with mRCC who received nivolumab (80%, 69/86), ipilimumab/nivolumab (14%, 12/86), or pembrolizumab (6%, 5/86). A gene expression score was created using the top five genes found in responders versus non-responders (FOXP3, CCR4, KLRK1, ITK, TIGIT). The ORR in patients with high gene expression (GEhigh) on the 5-gene panel was 29% (14/48), compared with low gene expression (GElow) 3% (1/38, χ2 p=0.001). The validation cohort was comprised of 62 patients who received ipilimumab/nivolumab. There was no difference between GEhigh and GElow in terms of ORR (44% vs 38.5%), PFS (HR 1.5, 95% CI 0.58 to 3.89), or OS (HR 0.96, 95% CI 0.51 to 1.83). Similarly, no differences in ORR, PFS or OS were observed when patients were stratified by tumor mutational burden (high=top 20%), PD-L1 (programmed death-ligand 1) expression by immunohistochemistry or RNA expression, or CTLA-4 (cytotoxic T-lymphocytes-associated protein 4) RNA expression. The International Metastatic RCC Database Consortium (IMDC) risk score was prognostic for OS but not PFS.
CONCLUSION: A 5-gene panel that was associated with improved ORR in a predominantly nivolumab monotherapy population of patients with mRCC was not predictive for radiographic response, PFS, or OS among patients with mRCC treated with ipilimumab and nivolumab. © Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

Entities:  

Keywords:  Gene Expression Profiling; Immunotherapy; Kidney Neoplasms; Tumor Biomarkers

Mesh:

Substances:

Year:  2022        PMID: 36252996      PMCID: PMC9577926          DOI: 10.1136/jitc-2022-005249

Source DB:  PubMed          Journal:  J Immunother Cancer        ISSN: 2051-1426            Impact factor:   12.469


  18 in total

Review 1.  TIGIT: A Key Inhibitor of the Cancer Immunity Cycle.

Authors:  Nicholas A Manieri; Eugene Y Chiang; Jane L Grogan
Journal:  Trends Immunol       Date:  2016-10-25       Impact factor: 16.687

Review 2.  NKG2D ligands in tumor immunity.

Authors:  N Nausch; A Cerwenka
Journal:  Oncogene       Date:  2008-10-06       Impact factor: 9.867

3.  Angiogenic and Immune-Related Biomarkers and Outcomes Following Axitinib/Pembrolizumab Treatment in Patients with Advanced Renal Cell Carcinoma.

Authors:  Jean-François Martini; Elizabeth R Plimack; Toni K Choueiri; David F McDermott; Igor Puzanov; Mayer N Fishman; Daniel C Cho; Ulka Vaishampayan; Bradley Rosbrook; Kathrine C Fernandez; Jamal C Tarazi; Saby George; Michael B Atkins
Journal:  Clin Cancer Res       Date:  2020-08-18       Impact factor: 12.531

4.  Clinical activity and molecular correlates of response to atezolizumab alone or in combination with bevacizumab versus sunitinib in renal cell carcinoma.

Authors:  David F McDermott; Mahrukh A Huseni; Michael B Atkins; Robert J Motzer; Brian I Rini; Bernard Escudier; Lawrence Fong; Richard W Joseph; Sumanta K Pal; James A Reeves; Mario Sznol; John Hainsworth; W Kimryn Rathmell; Walter M Stadler; Thomas Hutson; Martin E Gore; Alain Ravaud; Sergio Bracarda; Cristina Suárez; Riccardo Danielli; Viktor Gruenwald; Toni K Choueiri; Dorothee Nickles; Suchit Jhunjhunwala; Elisabeth Piault-Louis; Alpa Thobhani; Jiaheng Qiu; Daniel S Chen; Priti S Hegde; Christina Schiff; Gregg D Fine; Thomas Powles
Journal:  Nat Med       Date:  2018-06-04       Impact factor: 53.440

5.  CTLA-4 expression in the non-small cell lung cancer patient tumor microenvironment: diverging prognostic impact in primary tumors and lymph node metastases.

Authors:  Erna-Elise Paulsen; Thomas K Kilvaer; Mehrdad Rakaee; Elin Richardsen; Sigurd M Hald; Sigve Andersen; Lill-Tove Busund; Roy M Bremnes; Tom Donnem
Journal:  Cancer Immunol Immunother       Date:  2017-07-13       Impact factor: 6.968

6.  Biomarker analysis from CheckMate 214: nivolumab plus ipilimumab versus sunitinib in renal cell carcinoma.

Authors:  Robert J Motzer; Toni K Choueiri; David F McDermott; Thomas Powles; Yann-Alexandre Vano; Saurabh Gupta; Jin Yao; Celine Han; Ron Ammar; Simon Papillon-Cavanagh; Shruti S Saggi; M Brent McHenry; Petra Ross-Macdonald; Megan Wind-Rotolo
Journal:  J Immunother Cancer       Date:  2022-03       Impact factor: 12.469

7.  Molecular Subsets in Renal Cancer Determine Outcome to Checkpoint and Angiogenesis Blockade.

Authors:  Robert J Motzer; Romain Banchereau; Habib Hamidi; Thomas Powles; David McDermott; Michael B Atkins; Bernard Escudier; Li-Fen Liu; Ning Leng; Alexander R Abbas; Jinzhen Fan; Hartmut Koeppen; Jennifer Lin; Susheela Carroll; Kenji Hashimoto; Sanjeev Mariathasan; Marjorie Green; Darren Tayama; Priti S Hegde; Christina Schiff; Mahrukh A Huseni; Brian Rini
Journal:  Cancer Cell       Date:  2020-11-05       Impact factor: 31.743

8.  Avelumab plus axitinib versus sunitinib in advanced renal cell carcinoma: biomarker analysis of the phase 3 JAVELIN Renal 101 trial.

Authors:  Robert J Motzer; Paul B Robbins; Thomas Powles; Laurence Albiges; John B Haanen; James Larkin; Xinmeng Jasmine Mu; Keith A Ching; Motohide Uemura; Sumanta K Pal; Boris Alekseev; Gwenaelle Gravis; Matthew T Campbell; Konstantin Penkov; Jae Lyun Lee; Subramanian Hariharan; Xiao Wang; Weidong Zhang; Jing Wang; Aleksander Chudnovsky; Alessandra di Pietro; Amber C Donahue; Toni K Choueiri
Journal:  Nat Med       Date:  2020-09-07       Impact factor: 53.440

9.  Integration of tumor inflammation, cell proliferation, and traditional biomarkers improves prediction of immunotherapy resistance and response.

Authors:  Sarabjot Pabla; R J Seager; Erik Van Roey; Shuang Gao; Carrie Hoefer; Mary K Nesline; Paul DePietro; Blake Burgher; Jonathan Andreas; Vincent Giamo; Yirong Wang; Felicia L Lenzo; Margot Schoenborn; Shengle Zhang; Roger Klein; Sean T Glenn; Jeffrey M Conroy
Journal:  Biomark Res       Date:  2021-07-07

10.  Proliferative potential and resistance to immune checkpoint blockade in lung cancer patients.

Authors:  Sarabjot Pabla; Jeffrey M Conroy; Mary K Nesline; Sean T Glenn; Antonios Papanicolau-Sengos; Blake Burgher; Jacob Hagen; Vincent Giamo; Jonathan Andreas; Felicia L Lenzo; Wang Yirong; Grace K Dy; Edwin Yau; Amy Early; Hongbin Chen; Wiam Bshara; Katherine G Madden; Keisuke Shirai; Konstantin Dragnev; Laura J Tafe; Daniele Marin; Jason Zhu; Jeff Clarke; Matthew Labriola; Shannon McCall; Tian Zhang; Matthew Zibelman; Pooja Ghatalia; Isabel Araujo-Fernandez; Arun Singavi; Ben George; Andrew Craig MacKinnon; Jonathan Thompson; Rajbir Singh; Robin Jacob; Lynn Dressler; Mark Steciuk; Oliver Binns; Deepa Kasuganti; Neel Shah; Marc Ernstoff; Kunle Odunsi; Razelle Kurzrock; Mark Gardner; Lorenzo Galluzzi; Carl Morrison
Journal:  J Immunother Cancer       Date:  2019-02-01       Impact factor: 13.751

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