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Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets

PURPOSE: Tumor genomic profiling is increasingly used to guide treatment strategy in patients with cancer. We integrated tumor genomic, clinical demographic, and treatment response data to assess how prospective tumor-normal sequencing impacted treatment selection in patients with cervical cancer. E...

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Autores principales: Friedman, Claire F., Ravichandran, Vignesh, Miller, Kathryn, Vanderbilt, Chad, Zhou, Qin, Iasonos, Alexia, Vivek, Malavika, Mishra, Pamela, Leitao, Mario M., Broach, Vance, Sonoda, Yukio, Kyi, Chrisann, Zamarin, Dmitriy, O'Cearbhaill, Roisin E., Konner, Jason, Berger, Michael F., Weigelt, Britta, Momeni Boroujeni, Amir, Park, Kay J., Aghajanian, Carol, Solit, David B., Donoghue, Mark T.A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Association for Cancer Research 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644000/
https://www.ncbi.nlm.nih.gov/pubmed/37643132
http://dx.doi.org/10.1158/1078-0432.CCR-23-1078
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author Friedman, Claire F.
Ravichandran, Vignesh
Miller, Kathryn
Vanderbilt, Chad
Zhou, Qin
Iasonos, Alexia
Vivek, Malavika
Mishra, Pamela
Leitao, Mario M.
Broach, Vance
Sonoda, Yukio
Kyi, Chrisann
Zamarin, Dmitriy
O'Cearbhaill, Roisin E.
Konner, Jason
Berger, Michael F.
Weigelt, Britta
Momeni Boroujeni, Amir
Park, Kay J.
Aghajanian, Carol
Solit, David B.
Donoghue, Mark T.A.
author_facet Friedman, Claire F.
Ravichandran, Vignesh
Miller, Kathryn
Vanderbilt, Chad
Zhou, Qin
Iasonos, Alexia
Vivek, Malavika
Mishra, Pamela
Leitao, Mario M.
Broach, Vance
Sonoda, Yukio
Kyi, Chrisann
Zamarin, Dmitriy
O'Cearbhaill, Roisin E.
Konner, Jason
Berger, Michael F.
Weigelt, Britta
Momeni Boroujeni, Amir
Park, Kay J.
Aghajanian, Carol
Solit, David B.
Donoghue, Mark T.A.
author_sort Friedman, Claire F.
collection PubMed
description PURPOSE: Tumor genomic profiling is increasingly used to guide treatment strategy in patients with cancer. We integrated tumor genomic, clinical demographic, and treatment response data to assess how prospective tumor-normal sequencing impacted treatment selection in patients with cervical cancer. EXPERIMENTAL DESIGN: Cervical cancers were prospectively analyzed using the MSK-IMPACT (Memorial Sloan Kettering Cancer Center – Integrated Mutation Profiling of Actionable Cancer Targets) next-generation sequencing panel. Clinical data, including histology, stage at diagnosis, treatment history, clinical trial enrollment and outcomes, date of last follow-up, and survival status were obtained from medical records. RESULTS: A total of 177 patients with cervical cancer (squamous, 69; endocervical adenocarcinoma, 50; gastric type, 22; adenosquamous, 21; and other, 15) underwent MSK-IMPACT testing. The most prevalent genomic alterations were somatic mutations or amplifications in PIK3CA (25%), ERBB2 (12%), KMT2C (10%), and KMT2D (9%). Furthermore, 13% of patients had high tumor mutational burden (TMB >10 mut/Mb), 3 of which were also microsatellite instability–high (MSI-H). Thirty-seven percent of cases had at least one potentially actionable alteration designated as a level 3B mutational event according to the FDA-recognized OncoKB tumor mutation database and treatment classification system. A total of 30 patients (17%) were enrolled on a therapeutic clinical trial, including 18 (10%) who were matched with a study based on their MSK-IMPACT results. Twenty patients (11%) participated in an immune checkpoint inhibition study for metastatic disease; 2 remain progression free at >5 years follow-up. CONCLUSIONS: Tumor genomic profiling can facilitate the selection of targeted/immunotherapies, as well as clinical trial enrollment, for patients with cervical cancer.
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spelling pubmed-106440002023-11-15 Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets Friedman, Claire F. Ravichandran, Vignesh Miller, Kathryn Vanderbilt, Chad Zhou, Qin Iasonos, Alexia Vivek, Malavika Mishra, Pamela Leitao, Mario M. Broach, Vance Sonoda, Yukio Kyi, Chrisann Zamarin, Dmitriy O'Cearbhaill, Roisin E. Konner, Jason Berger, Michael F. Weigelt, Britta Momeni Boroujeni, Amir Park, Kay J. Aghajanian, Carol Solit, David B. Donoghue, Mark T.A. Clin Cancer Res Translational Cancer Mechanisms and Therapy PURPOSE: Tumor genomic profiling is increasingly used to guide treatment strategy in patients with cancer. We integrated tumor genomic, clinical demographic, and treatment response data to assess how prospective tumor-normal sequencing impacted treatment selection in patients with cervical cancer. EXPERIMENTAL DESIGN: Cervical cancers were prospectively analyzed using the MSK-IMPACT (Memorial Sloan Kettering Cancer Center – Integrated Mutation Profiling of Actionable Cancer Targets) next-generation sequencing panel. Clinical data, including histology, stage at diagnosis, treatment history, clinical trial enrollment and outcomes, date of last follow-up, and survival status were obtained from medical records. RESULTS: A total of 177 patients with cervical cancer (squamous, 69; endocervical adenocarcinoma, 50; gastric type, 22; adenosquamous, 21; and other, 15) underwent MSK-IMPACT testing. The most prevalent genomic alterations were somatic mutations or amplifications in PIK3CA (25%), ERBB2 (12%), KMT2C (10%), and KMT2D (9%). Furthermore, 13% of patients had high tumor mutational burden (TMB >10 mut/Mb), 3 of which were also microsatellite instability–high (MSI-H). Thirty-seven percent of cases had at least one potentially actionable alteration designated as a level 3B mutational event according to the FDA-recognized OncoKB tumor mutation database and treatment classification system. A total of 30 patients (17%) were enrolled on a therapeutic clinical trial, including 18 (10%) who were matched with a study based on their MSK-IMPACT results. Twenty patients (11%) participated in an immune checkpoint inhibition study for metastatic disease; 2 remain progression free at >5 years follow-up. CONCLUSIONS: Tumor genomic profiling can facilitate the selection of targeted/immunotherapies, as well as clinical trial enrollment, for patients with cervical cancer. American Association for Cancer Research 2023-11-14 2023-08-29 /pmc/articles/PMC10644000/ /pubmed/37643132 http://dx.doi.org/10.1158/1078-0432.CCR-23-1078 Text en ©2023 The Authors; Published by the American Association for Cancer Research https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International (CC BY-NC-ND 4.0) license.
spellingShingle Translational Cancer Mechanisms and Therapy
Friedman, Claire F.
Ravichandran, Vignesh
Miller, Kathryn
Vanderbilt, Chad
Zhou, Qin
Iasonos, Alexia
Vivek, Malavika
Mishra, Pamela
Leitao, Mario M.
Broach, Vance
Sonoda, Yukio
Kyi, Chrisann
Zamarin, Dmitriy
O'Cearbhaill, Roisin E.
Konner, Jason
Berger, Michael F.
Weigelt, Britta
Momeni Boroujeni, Amir
Park, Kay J.
Aghajanian, Carol
Solit, David B.
Donoghue, Mark T.A.
Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets
title Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets
title_full Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets
title_fullStr Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets
title_full_unstemmed Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets
title_short Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets
title_sort assessing the genomic landscape of cervical cancers: clinical opportunities and therapeutic targets
topic Translational Cancer Mechanisms and Therapy
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10644000/
https://www.ncbi.nlm.nih.gov/pubmed/37643132
http://dx.doi.org/10.1158/1078-0432.CCR-23-1078
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