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OPtimal Treatment by Invoking biologic clusters in renal cell carcinoma (OPTIC RCC)
BACKGROUND: The first-line treatment for metastatic clear cell renal cell carcinoma (mccRCC) includes immune oncology (IO) based combination therapy. The current standard includes a PD-1 inhibitor plus either an anti-CTLA-4 inhibitor (IO/IO) or an anti-vascular endothelial growth factor receptor tyr...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445578/ http://dx.doi.org/10.1093/oncolo/oyad216.023 |
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author | Beckermann, Kathryn Haake, Scott Reddy, Anupama Shyr, Yu Kimryn Rathmell, W Pal, Sumanta Ornstein, Moshe Barata, Pedro Zhang, Tian Rini, Brian |
author_facet | Beckermann, Kathryn Haake, Scott Reddy, Anupama Shyr, Yu Kimryn Rathmell, W Pal, Sumanta Ornstein, Moshe Barata, Pedro Zhang, Tian Rini, Brian |
author_sort | Beckermann, Kathryn |
collection | PubMed |
description | BACKGROUND: The first-line treatment for metastatic clear cell renal cell carcinoma (mccRCC) includes immune oncology (IO) based combination therapy. The current standard includes a PD-1 inhibitor plus either an anti-CTLA-4 inhibitor (IO/IO) or an anti-vascular endothelial growth factor receptor tyrosine kinase inhibitor (VEGF TKI) (IO/TKI). Currently, there is no evidence to guide a physician’s choice between an IO/IO versus an IO/TKI combination. The phase III IMmotion 151 trial performed RNA-seq from 823 ccRCC tumors and established seven biologically distinct gene expression clusters of ccRCC (Motzer and Rini et al., Cancer Cell 2020). The seven clusters showed differential responses to immune checkpoint inhibitor and may serve as a predictive biomarker to select clusters to assign patients with mccRCC to either an IO/IO (ipilimumab/ nivolumab) or an IO/TKI (nivolumab/cabozantinib) regimen. METHODS: Patients diagnosed with mccRCC without prior systemic therapy (including in the neoadjuvant or adjuvant setting) and at least one measurable lesion as defined by RECIST 1.1 are eligible for enrollment. RNA-seq will be performed on metastatic tumor specimens and used to assign tumor clusters. Patients with cluster 1/2 tumors will be assigned to the nivolumab/cabozantinib arm. Patients with cluster 4/5 tumors will be assigned to the ipilimumab/nivolumab arm. Cluster 3/6/7 will be excluded. The primary endpoint is overall response rate (ORR) per RECIST 1.1. Key secondary endpoints include progression-free survival, depth of response >80%, and rate of immune-related adverse events (irAEs). The hypothesis is that use of tumor clusters to assign front-line therapy to either nivolumab/cabozantinib or ipilimumab/nivolumab will lead to a 20% greater ORR compared to unselected historical controls in CheckMate 9ER (ORR 55%) or CheckMate 214 (ORR: 40%). This trial adopts Simon’s MiniMax two-stage design (power: 80%, one-sided alpha: 0.1). For the nivolumab/cabozantinib arm, stage I will enroll 12 eligible patients. If there are 7 or more responders in the first 12 patients, stage II will enroll an additional 14 patients (n=26). For the ipilimumab/ nivolumab arm, stage I will enroll 16 eligible patients. If there are 7 or more responders in the first 16, stage II will enroll an additional 12 patients (n=28). The primary endpoint will be met if there are 15 or more responders (ORR>60%). This trial is open and enrolling with 12 patients on study at Vanderbilt University Medical Center and additional sites to open including UT Southwestern, City of Hope, University Hospitals Seidman Cancer Center, and Cleveland Clinic. This trial is funded by the Department of Defense Kidney Cancer Research Program Clinical Trial Award (W81XWH-22-1-1033) (NCT05361720). CDMRP DOD Funding: yes |
format | Online Article Text |
id | pubmed-10445578 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-104455782023-08-24 OPtimal Treatment by Invoking biologic clusters in renal cell carcinoma (OPTIC RCC) Beckermann, Kathryn Haake, Scott Reddy, Anupama Shyr, Yu Kimryn Rathmell, W Pal, Sumanta Ornstein, Moshe Barata, Pedro Zhang, Tian Rini, Brian Oncologist Trials in Progress Abstract Presentations BACKGROUND: The first-line treatment for metastatic clear cell renal cell carcinoma (mccRCC) includes immune oncology (IO) based combination therapy. The current standard includes a PD-1 inhibitor plus either an anti-CTLA-4 inhibitor (IO/IO) or an anti-vascular endothelial growth factor receptor tyrosine kinase inhibitor (VEGF TKI) (IO/TKI). Currently, there is no evidence to guide a physician’s choice between an IO/IO versus an IO/TKI combination. The phase III IMmotion 151 trial performed RNA-seq from 823 ccRCC tumors and established seven biologically distinct gene expression clusters of ccRCC (Motzer and Rini et al., Cancer Cell 2020). The seven clusters showed differential responses to immune checkpoint inhibitor and may serve as a predictive biomarker to select clusters to assign patients with mccRCC to either an IO/IO (ipilimumab/ nivolumab) or an IO/TKI (nivolumab/cabozantinib) regimen. METHODS: Patients diagnosed with mccRCC without prior systemic therapy (including in the neoadjuvant or adjuvant setting) and at least one measurable lesion as defined by RECIST 1.1 are eligible for enrollment. RNA-seq will be performed on metastatic tumor specimens and used to assign tumor clusters. Patients with cluster 1/2 tumors will be assigned to the nivolumab/cabozantinib arm. Patients with cluster 4/5 tumors will be assigned to the ipilimumab/nivolumab arm. Cluster 3/6/7 will be excluded. The primary endpoint is overall response rate (ORR) per RECIST 1.1. Key secondary endpoints include progression-free survival, depth of response >80%, and rate of immune-related adverse events (irAEs). The hypothesis is that use of tumor clusters to assign front-line therapy to either nivolumab/cabozantinib or ipilimumab/nivolumab will lead to a 20% greater ORR compared to unselected historical controls in CheckMate 9ER (ORR 55%) or CheckMate 214 (ORR: 40%). This trial adopts Simon’s MiniMax two-stage design (power: 80%, one-sided alpha: 0.1). For the nivolumab/cabozantinib arm, stage I will enroll 12 eligible patients. If there are 7 or more responders in the first 12 patients, stage II will enroll an additional 14 patients (n=26). For the ipilimumab/ nivolumab arm, stage I will enroll 16 eligible patients. If there are 7 or more responders in the first 16, stage II will enroll an additional 12 patients (n=28). The primary endpoint will be met if there are 15 or more responders (ORR>60%). This trial is open and enrolling with 12 patients on study at Vanderbilt University Medical Center and additional sites to open including UT Southwestern, City of Hope, University Hospitals Seidman Cancer Center, and Cleveland Clinic. This trial is funded by the Department of Defense Kidney Cancer Research Program Clinical Trial Award (W81XWH-22-1-1033) (NCT05361720). CDMRP DOD Funding: yes Oxford University Press 2023-08-23 /pmc/articles/PMC10445578/ http://dx.doi.org/10.1093/oncolo/oyad216.023 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com. |
spellingShingle | Trials in Progress Abstract Presentations Beckermann, Kathryn Haake, Scott Reddy, Anupama Shyr, Yu Kimryn Rathmell, W Pal, Sumanta Ornstein, Moshe Barata, Pedro Zhang, Tian Rini, Brian OPtimal Treatment by Invoking biologic clusters in renal cell carcinoma (OPTIC RCC) |
title | OPtimal Treatment by Invoking biologic clusters in renal cell carcinoma (OPTIC RCC) |
title_full | OPtimal Treatment by Invoking biologic clusters in renal cell carcinoma (OPTIC RCC) |
title_fullStr | OPtimal Treatment by Invoking biologic clusters in renal cell carcinoma (OPTIC RCC) |
title_full_unstemmed | OPtimal Treatment by Invoking biologic clusters in renal cell carcinoma (OPTIC RCC) |
title_short | OPtimal Treatment by Invoking biologic clusters in renal cell carcinoma (OPTIC RCC) |
title_sort | optimal treatment by invoking biologic clusters in renal cell carcinoma (optic rcc) |
topic | Trials in Progress Abstract Presentations |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10445578/ http://dx.doi.org/10.1093/oncolo/oyad216.023 |
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