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

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...

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Autores principales: Brown, Landon C, Zhu, Jason, Desai, Kunal, Kinsey, Emily, Kao, Chester, Lee, Yong Hee, Pabla, Sarabjot, Labriola, Matthew K, Tran, Jennifer, Dragnev, Konstantin H, Tafe, Laura J, Dayyani, Farshid, Gupta, Rajan T, McCall, Shannon, George, Daniel J, Glenn, Sean T, Nesline, Mary K, George, Saby, Zibelman, Matthew, Morrison, Carl, Ornstein, Moshe C, Zhang, Tian
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BMJ Publishing Group 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577926/
https://www.ncbi.nlm.nih.gov/pubmed/36252996
http://dx.doi.org/10.1136/jitc-2022-005249
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author Brown, Landon C
Zhu, Jason
Desai, Kunal
Kinsey, Emily
Kao, Chester
Lee, Yong Hee
Pabla, Sarabjot
Labriola, Matthew K
Tran, Jennifer
Dragnev, Konstantin H
Tafe, Laura J
Dayyani, Farshid
Gupta, Rajan T
McCall, Shannon
George, Daniel J
Glenn, Sean T
Nesline, Mary K
George, Saby
Zibelman, Matthew
Morrison, Carl
Ornstein, Moshe C
Zhang, Tian
author_facet Brown, Landon C
Zhu, Jason
Desai, Kunal
Kinsey, Emily
Kao, Chester
Lee, Yong Hee
Pabla, Sarabjot
Labriola, Matthew K
Tran, Jennifer
Dragnev, Konstantin H
Tafe, Laura J
Dayyani, Farshid
Gupta, Rajan T
McCall, Shannon
George, Daniel J
Glenn, Sean T
Nesline, Mary K
George, Saby
Zibelman, Matthew
Morrison, Carl
Ornstein, Moshe C
Zhang, Tian
author_sort Brown, Landon C
collection PubMed
description 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 (GE(high)) on the 5-gene panel was 29% (14/48), compared with low gene expression (GE(low)) 3% (1/38, χ(2) p=0.001). The validation cohort was comprised of 62 patients who received ipilimumab/nivolumab. There was no difference between GE(high) and GE(low) 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.
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spelling pubmed-95779262022-10-19 Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma Brown, Landon C Zhu, Jason Desai, Kunal Kinsey, Emily Kao, Chester Lee, Yong Hee Pabla, Sarabjot Labriola, Matthew K Tran, Jennifer Dragnev, Konstantin H Tafe, Laura J Dayyani, Farshid Gupta, Rajan T McCall, Shannon George, Daniel J Glenn, Sean T Nesline, Mary K George, Saby Zibelman, Matthew Morrison, Carl Ornstein, Moshe C Zhang, Tian J Immunother Cancer Immunotherapy Biomarkers 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 (GE(high)) on the 5-gene panel was 29% (14/48), compared with low gene expression (GE(low)) 3% (1/38, χ(2) p=0.001). The validation cohort was comprised of 62 patients who received ipilimumab/nivolumab. There was no difference between GE(high) and GE(low) 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. BMJ Publishing Group 2022-10-17 /pmc/articles/PMC9577926/ /pubmed/36252996 http://dx.doi.org/10.1136/jitc-2022-005249 Text en © 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. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/) .
spellingShingle Immunotherapy Biomarkers
Brown, Landon C
Zhu, Jason
Desai, Kunal
Kinsey, Emily
Kao, Chester
Lee, Yong Hee
Pabla, Sarabjot
Labriola, Matthew K
Tran, Jennifer
Dragnev, Konstantin H
Tafe, Laura J
Dayyani, Farshid
Gupta, Rajan T
McCall, Shannon
George, Daniel J
Glenn, Sean T
Nesline, Mary K
George, Saby
Zibelman, Matthew
Morrison, Carl
Ornstein, Moshe C
Zhang, Tian
Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma
title Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma
title_full Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma
title_fullStr Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma
title_full_unstemmed Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma
title_short Evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma
title_sort evaluation of tumor microenvironment and biomarkers of immune checkpoint inhibitor response in metastatic renal cell carcinoma
topic Immunotherapy Biomarkers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9577926/
https://www.ncbi.nlm.nih.gov/pubmed/36252996
http://dx.doi.org/10.1136/jitc-2022-005249
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