{"title":"具有广泛透明细胞特征的恶性勃勒纳瘤:从分子肿瘤谱和基于人工智能的肿瘤鉴别工具中获得的宝贵诊断经验","authors":"John A Steinharter , Corinne Jansen , Hassan Ghani , Apsra Nasir , Marzia Capelletti , Ashley Stuckey , M.Ruhul Quddus , Yun-An Tseng","doi":"10.1016/j.gore.2025.101939","DOIUrl":null,"url":null,"abstract":"<div><h3>Background</h3><div>Malignant Brenner tumor (MBT) with extensive clear cell features mimicking an ovarian clear cell carcinoma (CCC) is exceedingly rare. This case report discusses the diagnostic challenges associated with this unusual histologic finding and highlights the value of molecular tumor profiling and artificial intelligence (AI)-based tools in tumor diagnostics.</div></div><div><h3>Case Summary</h3><div>A 55-year-old woman presented with a 17.7 cm complex left ovarian mass, which was initially diagnosed as ovarian clear cell carcinoma on the frozen and permanent H&E sections. The subsequent next-generation sequencing (NGS) and an AI-based tumor differential tool predicted an 88 % match of urothelial origin for the ovarian tumor driven by strong expression of GATA3, uroplakin 2, and AMACR, while assigning 0 % match to ovarian CCC. The molecular and histologic discordance prompted pathologic re-evaluation. On the additional sections submitted from the ovarian tumor, a small component of benign Brenner tumor was identified adjacent to the tumor with extensive clear cell features. In addition, both the tumor cells exhibiting clear cell features and the benign Brenner tumor showed positive expression of urothelial markers by immunohistochemistry. The diagnosis was amended to MBT with extensive clear cell features. The NGS data was reviewed and showed the ovarian tumor harbored CDKN2A/B loss and a molecular triple phenotype (MDM2 amplification/TP53 wild-type/TERT wild-type), supporting the diagnosis of MBT and disfavoring metastatic urothelial carcinoma.</div></div><div><h3>Conclusion</h3><div>MBT should be considered in the differential diagnosis of ovarian neoplasms with clear cell features. Extensive tumor sampling combined with careful evaluation of the histologic and immunohistochemical features and molecular analysis is the key to accurate diagnosis. AI-based tumor differential tools are valuable adjuncts to tumor diagnostics when investigated with other pathological and clinical findings.</div></div>","PeriodicalId":12873,"journal":{"name":"Gynecologic Oncology Reports","volume":"61 ","pages":"Article 101939"},"PeriodicalIF":1.3000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Malignant Brenner tumor with extensive clear cell features: A valuable diagnostic lesson learned from molecular tumor profiling and AI-based tumor differential tool\",\"authors\":\"John A Steinharter , Corinne Jansen , Hassan Ghani , Apsra Nasir , Marzia Capelletti , Ashley Stuckey , M.Ruhul Quddus , Yun-An Tseng\",\"doi\":\"10.1016/j.gore.2025.101939\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><h3>Background</h3><div>Malignant Brenner tumor (MBT) with extensive clear cell features mimicking an ovarian clear cell carcinoma (CCC) is exceedingly rare. This case report discusses the diagnostic challenges associated with this unusual histologic finding and highlights the value of molecular tumor profiling and artificial intelligence (AI)-based tools in tumor diagnostics.</div></div><div><h3>Case Summary</h3><div>A 55-year-old woman presented with a 17.7 cm complex left ovarian mass, which was initially diagnosed as ovarian clear cell carcinoma on the frozen and permanent H&E sections. The subsequent next-generation sequencing (NGS) and an AI-based tumor differential tool predicted an 88 % match of urothelial origin for the ovarian tumor driven by strong expression of GATA3, uroplakin 2, and AMACR, while assigning 0 % match to ovarian CCC. The molecular and histologic discordance prompted pathologic re-evaluation. On the additional sections submitted from the ovarian tumor, a small component of benign Brenner tumor was identified adjacent to the tumor with extensive clear cell features. In addition, both the tumor cells exhibiting clear cell features and the benign Brenner tumor showed positive expression of urothelial markers by immunohistochemistry. The diagnosis was amended to MBT with extensive clear cell features. The NGS data was reviewed and showed the ovarian tumor harbored CDKN2A/B loss and a molecular triple phenotype (MDM2 amplification/TP53 wild-type/TERT wild-type), supporting the diagnosis of MBT and disfavoring metastatic urothelial carcinoma.</div></div><div><h3>Conclusion</h3><div>MBT should be considered in the differential diagnosis of ovarian neoplasms with clear cell features. Extensive tumor sampling combined with careful evaluation of the histologic and immunohistochemical features and molecular analysis is the key to accurate diagnosis. AI-based tumor differential tools are valuable adjuncts to tumor diagnostics when investigated with other pathological and clinical findings.</div></div>\",\"PeriodicalId\":12873,\"journal\":{\"name\":\"Gynecologic Oncology Reports\",\"volume\":\"61 \",\"pages\":\"Article 101939\"},\"PeriodicalIF\":1.3000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Gynecologic Oncology Reports\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S235257892500164X\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gynecologic Oncology Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S235257892500164X","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
Malignant Brenner tumor with extensive clear cell features: A valuable diagnostic lesson learned from molecular tumor profiling and AI-based tumor differential tool
Background
Malignant Brenner tumor (MBT) with extensive clear cell features mimicking an ovarian clear cell carcinoma (CCC) is exceedingly rare. This case report discusses the diagnostic challenges associated with this unusual histologic finding and highlights the value of molecular tumor profiling and artificial intelligence (AI)-based tools in tumor diagnostics.
Case Summary
A 55-year-old woman presented with a 17.7 cm complex left ovarian mass, which was initially diagnosed as ovarian clear cell carcinoma on the frozen and permanent H&E sections. The subsequent next-generation sequencing (NGS) and an AI-based tumor differential tool predicted an 88 % match of urothelial origin for the ovarian tumor driven by strong expression of GATA3, uroplakin 2, and AMACR, while assigning 0 % match to ovarian CCC. The molecular and histologic discordance prompted pathologic re-evaluation. On the additional sections submitted from the ovarian tumor, a small component of benign Brenner tumor was identified adjacent to the tumor with extensive clear cell features. In addition, both the tumor cells exhibiting clear cell features and the benign Brenner tumor showed positive expression of urothelial markers by immunohistochemistry. The diagnosis was amended to MBT with extensive clear cell features. The NGS data was reviewed and showed the ovarian tumor harbored CDKN2A/B loss and a molecular triple phenotype (MDM2 amplification/TP53 wild-type/TERT wild-type), supporting the diagnosis of MBT and disfavoring metastatic urothelial carcinoma.
Conclusion
MBT should be considered in the differential diagnosis of ovarian neoplasms with clear cell features. Extensive tumor sampling combined with careful evaluation of the histologic and immunohistochemical features and molecular analysis is the key to accurate diagnosis. AI-based tumor differential tools are valuable adjuncts to tumor diagnostics when investigated with other pathological and clinical findings.
期刊介绍:
Gynecologic Oncology Reports is an online-only, open access journal devoted to the rapid publication of narrative review articles, survey articles, case reports, case series, letters to the editor regarding previously published manuscripts and other short communications in the field of gynecologic oncology. The journal will consider papers that concern tumors of the female reproductive tract, with originality, quality, and clarity the chief criteria of acceptance.