Faculty, Staff and Student Publications
Publication Date
2-1-2023
Journal
Modern Pathology
DOI
10.1016/j.modpat.2022.100001
PMID
36853778
Abstract
PAX8 is the most commonly used immunomarker to link a carcinoma to the gynecologic tract; however, it lacks specificity. Through mining The Cancer Genome Atlas mRNA expression profile data, we identified SOX17 as a potential specific marker at the mRNA level for gynecologic tumors. To evaluate the utility of this marker in the identification of the gynecologic origin of a given carcinoma, we performed immunochemical staining in a large cohort of ovarian and endometrial cancer cases (n = 416), together with a large cohort of solid tumors from other organs (n = 1544) in tissue microarrays. Similar to PAX8, SOX17 was highly expressed in different subtypes of ovarian carcinoma (97.5% for SOX17 vs 97% for PAX8 in serous carcinoma, 90% vs 90% in endometrioid carcinoma, and 100% vs 100% in clear cell carcinoma), except for mucinous carcinoma (0% vs 27%), and was also highly expressed in different subtypes of endometrial carcinoma (88% vs 84% in endometrioid carcinoma, 100% vs 100% in serous and clear cell carcinoma). SOX17 was not expressed in thyroid and renal cell carcinomas, whereas PAX8 expression was high (86% and 85%, respectively). In addition, SOX17 was expressed at low levels in cervical adenocarcinoma (20%) and had no expression in cervical squamous carcinoma, mesothelioma, and carcinomas from the breast, lung, pancreas, colon, stomach, liver, bladder, and salivary gland. Our data indicate that SOX17 is not only a sensitive but also a specific marker for the origin of ovarian and endometrial carcinomas.
Keywords
Female, Humans, Carcinoma, Endometrioid, Endometrial Neoplasms, Ovarian Neoplasms, Uterine Cervical Neoplasms, Kidney Neoplasms, SOXF Transcription Factors
Published Open-Access
yes
Recommended Citation
Zhang, Xudong; Yao, Jun; Niu, Na; et al., "SOX17: A Highly Sensitive and Specific Immunomarker for Ovarian and Endometrial Carcinomas" (2023). Faculty, Staff and Student Publications. 4758.
https://digitalcommons.library.tmc.edu/uthgsbs_docs/4758
Included in
Bioinformatics Commons, Biomedical Informatics Commons, Genetic Phenomena Commons, Medical Genetics Commons, Oncology Commons