肝外胆管癌:与解剖位置和预后相关的基因组变量

IF 5.3 2区 医学 Q1 ONCOLOGY
William A Preston, Esther Drill, Thomas Boerner, Rebecca Gelfer, James J Harding, Eileen M O'Reilly, Andrea Cercek, Ghassan Abou-Alfa, Wungki Park, Vinod P Balachandran, Jeffrey Drebin, Kevin C Soares, Alice Wei, T Peter Kingham, Michael I D'Angelica, William R Jarnagin
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引用次数: 0

摘要

目的:本研究旨在确定肝周胆管癌(PCA)和远端胆管癌(DCA)的基因组差异,并确定生存的基因组决定因素:按照解剖部位(PCA/DCA)、疾病范围和治疗方法进行分层,分析了连续的ECA患者,这些患者的组织可用于靶向新一代测序。使用Cox比例危险回归法分析了基因组改变、临床病理特征和结局之间的关联,以比较生存率:2004年至2022年期间确诊的224名患者(n = 127 PCA;n = 97 DCA)符合纳入标准。中位生存期为29个月(43个月为切除术后,17个月为诊断为不可切除疾病后)。与PCA相比,DCA富含TP53alt(改变;69% v 33%;Q < 0.01)和表观遗传通路改变(45% v 29%;Q = 0.041),并且有更多的通路改变(中位数为3 v 2;Q < 0.01)。PCA(36%)和DCA(37%)的KRASalt频率相似;但是,DCA富含KRAS G12D(19% v 9%;P = .002)。没有其他临床病理或基因组变量可区分亚型。在切除的患者中,基因组改变与预后无关。但在无法切除的患者中,CDKN2Aalt(危险比 [HR],2.59 [1.48 至 4.52])和 APCalt(HR,5.11 [1.96 至 13.3])与生存率降低有关。在整个队列中,不可切除性(HR,3.13 [2.25 至 4.36])、CDKN2Aalt(HR,1.80 [1.80 至 2.68])和 APCalt(HR,2.00 [1.04 至 3.87])与生存率低有关:结论:CDKN2Aalt和APCalt与ECA患者的不良生存率有关,主要是晚期患者。结论:CDKN2Aalt和APCalt与ECA患者的不良生存率有关,主要与晚期疾病有关。由于PCA和DCA的基因相似,因此在未来的基因组研究中对PCA和DCA进行联合分析是合理的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Extrahepatic Cholangiocarcinoma: Genomic Variables Associated With Anatomic Location and Outcome.

Purpose: This study aimed to define genomic differences between perihilar cholangiocarcinoma (PCA) and distal cholangiocarcinoma (DCA) and identify genomic determinants of survival.

Materials and methods: Consecutive patients with ECA with tissue for targeted next-generation sequencing were analyzed, stratified by anatomic site (PCA/DCA), disease extent, and treatment. Associations between genomic alterations, clinicopathologic features, and outcomes were analyzed using Cox proportional hazards regression to compare survival.

Results: In total, 224 patients diagnosed between 2004 and 2022 (n = 127 PCA; n = 97 DCA) met inclusion criteria. The median survival was 29 months (43 after resection and 17 from diagnosis for unresectable disease). Compared with PCA, DCA was enriched in TP53alt (alterations; 69% v 33%; Q < 0.01), epigenetic pathway alterations (45% v 29%; Q = 0.041), and had more total altered pathways (median 3 v 2; Q < 0.01). KRASalt frequency was similar between PCA (36%) and DCA (37%); however, DCA was enriched in KRAS G12D (19% v 9%; P = .002). No other clinicopathologic or genomic variables distinguished subtypes. In resected patients, no genomic alterations were associated with outcome. However, in unresectable patients, CDKN2Aalt (hazard ratio [HR], 2.59 [1.48 to 4.52]) and APCalt (HR, 5.11 [1.96 to 13.3]) were associated with reduced survival. For the entire cohort, irresectability (HR, 3.13 [2.25 to 4.36]), CDKN2Aalt (HR, 1.80 [1.80 to 2.68]), and APCalt (HR, 2.00 [1.04 to 3.87]) were associated with poor survival.

Conclusion: CDKN2Aalt and APCalt were associated with poor survival in ECA, primarily in advanced disease. As PCA and DCA were genetically similar, coanalysis of PCA and DCA in future genomic studies is reasonable.

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CiteScore
9.10
自引率
4.30%
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