Literature DB >> 33570867

The Role of Predictive Biomarkers in Endocervical Adenocarcinoma: Recommendations From the International Society of Gynecological Pathologists.

Tjalling Bosse, Sigurd Lax, Nadeem Abu-Rustum, Xavier Matias-Guiu.   

Abstract

To review the scientific evidence related to predictive biomarkers in cervical adenocarcinoma (ADC). The authors reviewed the literature regarding predictive biomarkers in cervical ADC. There were several limitations: (1) there is an overlap between predictive and prognostic biomarkers, as the vast majority of patients are treated with anticancer strategies; (2) in many studies and clinical trials, cervical ADC patients are included in a large series of patients predominantly composed of cervical squamous cell carcinomas; and (3) in most of the studies, and clinical trials, there is no distinction between human papillomavirus (HPV)-associated and HPV-independent cervical ADCs, or between various histologic subtypes. Results obtained from a small group of studies confirm that cervical ADCs exhibit distinct molecular features as compared with squamous carcinomas, and that there are different molecular features between different types of cervical ADCs. Promising areas of interest include ERBB2 (HER2) mutations and PD-L1 expression as predictive biomarkers for anti-HER2 treatment and immunotherapy, respectively. To date, no definitive data can be obtained from the literature regarding predictive biomarkers for cervical ADC. Clinical trials specifically designed for endocervical ADC patients are required to elucidate the predictive value of HER2 mutations and PD-L1 expression. The distinction between HPV-associated and HPV-independent cervical ADCs as well as early involvement of pathologists in the design of future clinical trials are needed to identify new predictive biomarkers in cervical ADC.
Copyright © 2021 International Society of Gynecological Pathologists. Published by Wolters Kluwer Health, Inc. on behalf of the International Society of Gynecological Pathologists.

Entities:  

Year:  2021        PMID: 33570867      PMCID: PMC7969151          DOI: 10.1097/PGP.0000000000000755

Source DB:  PubMed          Journal:  Int J Gynecol Pathol        ISSN: 0277-1691            Impact factor:   2.762


  1 in total

Review 1.  Cervical Carcinoma: Oncobiology and Biomarkers.

Authors:  Larisa V Volkova; Alexander I Pashov; Nadezhda N Omelchuk
Journal:  Int J Mol Sci       Date:  2021-11-22       Impact factor: 5.923

  1 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.