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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...
Autores principales: | , , , , , , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
American Association for Cancer Research
2023
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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. |
format | Online Article Text |
id | pubmed-10644000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | American Association for Cancer Research |
record_format | MEDLINE/PubMed |
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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