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

IF 1.3 Q3 OBSTETRICS & GYNECOLOGY
John A Steinharter , Corinne Jansen , Hassan Ghani , Apsra Nasir , Marzia Capelletti , Ashley Stuckey , M.Ruhul Quddus , Yun-An Tseng
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引用次数: 0

摘要

恶性勃勒纳瘤(MBT)具有广泛的类似卵巢透明细胞癌(CCC)的透明细胞特征是非常罕见的。本病例报告讨论了与这种不寻常的组织学发现相关的诊断挑战,并强调了分子肿瘤分析和基于人工智能(AI)的肿瘤诊断工具的价值。病例总结:一名55岁女性,左侧卵巢出现17.7 cm复杂肿块,经冷冻和永久H&;E切片初步诊断为卵巢透明细胞癌。随后的下一代测序(NGS)和基于人工智能的肿瘤鉴别工具预测,由GATA3、uroplakin 2和AMACR的强表达驱动的卵巢肿瘤的尿路上皮起源匹配率为88%,而卵巢CCC的匹配率为0%。分子和组织学上的不一致促使病理重新评估。在提交的卵巢肿瘤的附加切片上,发现良性勃勒纳瘤的一小部分与肿瘤相邻,具有广泛的透明细胞特征。此外,具有清晰细胞特征的肿瘤细胞和良性勃勒纳瘤的免疫组化均显示尿路上皮标志物的阳性表达。诊断修改为MBT,具有广泛的透明细胞特征。回顾NGS数据,发现卵巢肿瘤具有CDKN2A/B缺失和分子三重表型(MDM2扩增/TP53野生型/TERT野生型),支持MBT的诊断,不利于转移性尿路上皮癌。结论对具有透明细胞特征的卵巢肿瘤应考虑mbt的鉴别诊断。广泛的肿瘤取样结合仔细的组织学和免疫组织化学特征评估和分子分析是准确诊断的关键。当与其他病理和临床结果一起调查时,基于人工智能的肿瘤鉴别工具是肿瘤诊断的有价值的辅助工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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来源期刊
Gynecologic Oncology Reports
Gynecologic Oncology Reports OBSTETRICS & GYNECOLOGY-
CiteScore
2.00
自引率
0.00%
发文量
183
审稿时长
41 days
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.
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