Assessing the Genomic Landscape of Cervical Cancers: Clinical Opportunities and Therapeutic Targets. Academic Article uri icon

Overview

abstract

  • PURPOSE: Tumor genomic profiling is increasingly used to guide treatment strategy in cancer patients. 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: 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.

publication date

  • August 29, 2023

Research

keywords

  • Uterine Cervical Neoplasms

Identity

Digital Object Identifier (DOI)

  • 10.1158/1078-0432.CCR-23-1078

PubMed ID

  • 37643132