FOXA1改变的结构导向分类识别具有相反临床结果和不同分子和免疫亚型的前列腺癌。

IF 10 1区 医学 Q1 ONCOLOGY
Justin Hwang, Pornlada Likasitwatanakul, Sachin Kumar Deshmukh, Sharon Wu, Jason J Kwon, Eamon Toye, David Moline, Mark G Evans, Andrew Elliott, Rachel Passow, Christine Luo, Emily John, Nishant Gandhi, Rana R McKay, Elisabeth I Heath, Chadi Nabhan, Natalie Reizine, Jacob J Orme, Josep M Domingo Domenech, Oliver Sartor, Sylvan C Baca, Scott M Dehm, Emmanuel S Antonarakis
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引用次数: 0

摘要

目的:10-15%的前列腺癌(PCa)有复发性FOXA1畸变,其改变类型和对叉头结构域(FKH)的影响影响蛋白功能。我们开发了FOXA1分类系统以告知临床管理。实验设计:使用Caris数据库的全外显子组和转录组测序对5,014个PCa进行检测。我们将1类FOXA1的改变称为错义和帧内插入/缺失,其亚类面向FKH结构域:这些改变位于FKH结构域的第一部分(1A类:氨基酸[AA] 168-246), FKH的Wing2区域内(1B类:AA 247-269),或FKH外(1C类:AA 1-167, 270+)。R219位点的两个热点错义突变被标记为2类。第3类包括基于FKH结构域划分的预测截断突变(3A类:AA 1-269, 3B类:AA 270+)。第4类代表FOXA1扩增。真实世界的总体生存和治疗结果由保险索赔决定。结果:FOXA1的改变在总体上不影响生存,但在分类上有明显的预后影响。1A类改变与总体生存改善相关(HR=0.57, p=0.03);1B组也有类似的趋势(HR=0.88, p=0.07)。相反,1C类患者在第二代雄激素受体信号抑制剂(ARSI)治疗后表现出更差的生存率(HR=1.93)。结论:foxa1的改变不应被整体解释,因为不同的类型与不同的分子特征和临床结果相关。我们修订的分类模式有助于PCa患者的临床决策,并揭示了重要的种族差异。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Structurally-oriented classification of FOXA1 alterations identifies prostate cancers with opposing clinical outcomes and distinct molecular and immunologic subtypes.

Purpose: 10-15% of prostate cancers (PCa) harbor recurrent FOXA1 aberrations whereby the alteration type and the effect on the forkhead( FKH) domain impacts protein-function. We developed a FOXA1 classification system to inform clinical management.

Experimental design: 5,014 PCa were examined using whole exome and transcriptome sequencing from the Caris database. We denoted class 1 FOXA1 alterations as missense and in-frame insertions/deletions with subclasses oriented with respect to the FKH domain: these were in the first part of the FKH domain (class 1A: amino acids [AA] 168-246), within the Wing2 region of FKH (class 1B: AA 247-269), or outside FKH (class 1C: AA 1-167, 270+). Two hotspot missense mutations at R219 were denoted class 2. Class 3 included predicted-truncating mutations with subclasses partitioned based on the FKH domain (class 3A: AA 1-269, class 3B: AA 270+). Class 4 represented FOXA1 amplifications. Real-world overall survival and therapy outcomes were determined from insurance claims.

Results: FOXA1 alterations did not influence survival when considered in aggregate, but had distinct prognostic effects when stratified by class. Class 1A alterations were associated with overall improved survival (HR=0.57, p=0.03); a similar trend was seen with Class 1B (HR=0.88, p=0.07). Conversely, class 1C exhibited worse survival upon 2nd-generation androgen receptor signaling inhibitor (ARSI) treatment (HR=1.93, p<0.001). Class 2 mutations (R219C/S) were enriched in neuroendocrine prostate cancers and were associated with overall poor survival (HR=2.05, p<0.001) and worse outcomes to first-line androgen-deprivation therapies (HR=2.5, p<0.001). Class 3A alterations indicated improved survival (HR=0.70; p=0.01) whereas class 3B alterations portended poor outcomes (HR=1.50; p<0.001). Amplifications (class 4) indicated poor outcomes (HR=1.48; p=0.02). Molecularly, different FOXA1 alteration classes harbored distinct mutational and immunologic features as well as unique transcriptional programs. Finally, relative to European-Americans, African-Americans had increased class 1C alterations whereas Asian-Pacific patients had increased class 1B alterations.

Conclusions: FOXA1alterations should not be interpreted in aggregate, as different classes are associated with divergent molecular features and clinical outcomes. Our revised classification schema facilitates clinical decision making for PCa patients and uncovers important racial differences.

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来源期刊
Clinical Cancer Research
Clinical Cancer Research 医学-肿瘤学
CiteScore
20.10
自引率
1.70%
发文量
1207
审稿时长
2.1 months
期刊介绍: Clinical Cancer Research is a journal focusing on groundbreaking research in cancer, specifically in the areas where the laboratory and the clinic intersect. Our primary interest lies in clinical trials that investigate novel treatments, accompanied by research on pharmacology, molecular alterations, and biomarkers that can predict response or resistance to these treatments. Furthermore, we prioritize laboratory and animal studies that explore new drugs and targeted agents with the potential to advance to clinical trials. We also encourage research on targetable mechanisms of cancer development, progression, and metastasis.
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