Revealing neuroendocrine transformation in gynecological cancers through genomic analysis.

IF 6.8 1区 医学 Q1 ONCOLOGY NPJ Precision Oncology Pub Date : 2025-03-19 DOI:10.1038/s41698-025-00861-5
Ann Oluloro, David L Wells, Charles K Childers, Tiffany Luu, Keith D Eaton, Renata R Urban, Eric Q Konnick, Vera A Paulson, Kalyan Banda
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Abstract

Neuroendocrine transformation (NT) in cancers, typically observed under the selective pressure of targeted therapies, involves lineage plasticity where adenocarcinomas adopt neuroendocrine characteristics while retaining the molecular alterations of their original histology. This phenomenon, well-documented in prostate and lung cancers, has not been observed in gynecological malignancies until now. We present two pivotal cases involving primary ovarian and uterine cancers that developed neuroendocrine carcinomas post-treatment. Initially presumed to be independent primaries, comprehensive next-generation sequencing technologies, including UW-OncoPlex and BROCA panels, were used to establish a clonal relationship between the primary tumors and their respective neuroendocrine metastases. This report provides the first documented instances of NT in gynecological cancers, indicating that it may be a more widespread resistance mechanism than previously recognized. Routine re-biopsy and early integration of advanced molecular diagnostics into clinical practice will identify NT and provide insights into pathogenesis and eventual therapeutic options.

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通过基因组分析揭示妇科肿瘤的神经内分泌转化。
肿瘤中的神经内分泌转化(NT)通常是在靶向治疗的选择压力下观察到的,涉及谱系可塑性,其中腺癌在保留其原始组织学的分子改变的同时采用神经内分泌特征。这种现象在前列腺癌和肺癌中有充分的证据,但迄今为止在妇科恶性肿瘤中尚未观察到。我们提出两个关键的病例涉及原发性卵巢癌和子宫癌,发展为神经内分泌癌后治疗。最初被认为是独立的原发肿瘤,使用全面的下一代测序技术,包括UW-OncoPlex和BROCA面板,建立原发肿瘤与其各自的神经内分泌转移之间的克隆关系。本报告首次记录了妇科肿瘤中NT的病例,表明它可能是一种比以前认识到的更广泛的耐药机制。常规重新活检和早期将先进分子诊断整合到临床实践中,将识别NT,并提供发病机制和最终治疗方案的见解。
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来源期刊
CiteScore
9.90
自引率
1.30%
发文量
87
审稿时长
18 weeks
期刊介绍: Online-only and open access, npj Precision Oncology is an international, peer-reviewed journal dedicated to showcasing cutting-edge scientific research in all facets of precision oncology, spanning from fundamental science to translational applications and clinical medicine.
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