PO.PS01.03 · 人群科学

在全国多机构队列中按种族/族裔对胃癌进行整合的临床病理、基因组和转录组特征分析

Integrated clinicopathologic, genomic and transcriptomic characterization of gastric cancer by race/ethnicity in a national multi-institutional cohort

编号 5075 展板 15 时间 4/21 09:00–12:00 区域 Section 36 主讲 Kyle Klingbeil, BS;MD;MS;PhD
分会场 Etiology and Molecular Epidemiology Approaches to Decipher Cancer Disparities
该海报暂无可下载的资料 AACR 官方页面

作者与单位 Authors & Affiliations

Kyle D. Klingbeil1, Sinead Cullina2, Natalie N. Martinez1, Mariah B. Blegen1, Kyla E. Wright1, R. Vanessa Mora Molina1, Ami Hayashi1, Adam J. Dugan2, Unnati Jariwala2, Stamatina Fragkogianni2, Jonathan Boiarsky3, Lee S. Rosen3, Mark D. Girgis1, Brian E. Kadera1

1Department of Surgery, Division of Surgical Oncology, UCLA Health, Los Angeles, CA,2Tempus AI, Inc., Chicago, IL,3Department of Medicine, Division of Hematology-Oncology, UCLA Health, Los Angeles, CA

摘要 Abstract

中文摘要
背景:尽管胃癌的结局因种族/族裔而异,但这些差异的分子基础尚未完全阐明。为填补这一空白,我们使用Tempus Lens平台(Tempus AI, Inc., Chicago, IL)查询多模态去标识化数据库,以建立并随后分析一个使用xT(DNA)和xR(RNA)进行了种系和肿瘤检测的胃腺癌患者队列。 方法:患者按种族/族裔(R/E)分类。RNA-seq数据被标准化为每百万转录本(TPM)并以log2(TPM+1)报告。使用Hallmark基因集的单样本基因集富集分析(ssGSEA)用于比较细胞信号通路活性。真实世界总生存期(rwOS)定义为从活检到死亡或末次已知随访的时间。使用Kaplan Meier(KM)方法估算rwOS生存曲线,并使用log-rank检验检测差异。使用Cox比例风险模型计算风险比(HR)。 结果:在1,842名有种族/族裔数据报告的患者中,1,186名(64%)确认为白人,327名(17.7%)为西班牙裔/拉丁裔(HL),217名(11.8%)为黑人或非裔美国人(AA),112名(6.1%)为亚裔。在多变量Cox模型中,与白人患者相比,HL(HR 0.65,95% CI 0.48-0.88,p =0.005)和亚裔(HR 0.64,95% CI 0.41-0.98,p =0.042)患者的rwOS更长。亚裔患者的中位rwOS较白人患者更长(19个月对10.9个月,log-rank p < 0.001)。与白人患者相比,HL患者诊断时更年轻(中位57岁对67岁,p < 0.001),且女性比例更高(45%对28%,p < 0.001)。肿瘤分级、微卫星不稳定性、肿瘤突变负荷和CLDN18.2表达在各组间存在显著差异(均p < 0.01),而HER2和PD-L1状态则无差异。在基因组水平,TP53(HL 57%对白人75%)、CDKN2A(亚裔11%对白人21%)、CDH1(AA 6.9%对HL 16%)的体细胞改变频率在各组间存在差异(均p、q < 0.001)。在10.1%的AA、10.7%的亚裔、10.7%的HL和15.8%的白人患者中识别出致病性种系变异,最常见的分别涉及HDAC2、ATR、ATM和MUTYH。通过ssGSEA进行的转录组分析揭示了HL和亚裔患者中的炎症通路激活,与白人患者相比,IL6/JAK/STAT3和IFN-gamma信号通路显著增加(均q < 0.001)。与白人患者相比,HL患者还表现出IL2/STAT5、TNFalpha和补体反应通路的更大富集(q < 0.001)。 结论:本研究代表了迄今为止对胃癌规模最大、最多样化的临床基因组分析。总体而言,这些发现凸显了按种族/族裔划分的不同临床表现、分子改变和生存结局,强调了广泛分子检测以指导精准癌症治疗的迫切需求。
查看英文原文 English abstract
Background: Although gastric cancer outcomes vary by race/ethnicity, a molecular basis for these differences has not been fully elucidated. To address this gap, we used the Tempus Lens Platform (Tempus AI, Inc., Chicago, IL) to query the multimodal de-identified database in order to establish and subsequently analyze a cohort of patients with gastric adenocarcinoma who underwent germline and tumor testing using xT (DNA) and xR (RNA). Methods: Patients were categorized by R/E. RNA-seq data were normalized as transcripts per million (TPM) and reported as log2(TPM+1). Single-sample Gene Set Enrichment Analysis (ssGSEA) using Hallmark gene sets was used to compare cell signaling pathway activity. Real-world overall survival (rwOS) was defined as the time from biopsy to death or last known follow-up. rwOS survival curves were estimated using the Kaplan Meier (KM) approach and differences tested using log-rank tests. Hazard ratios (HR) were calculated using Cox proportional hazard models. Results: Among 1,842 patients with reported race/ethnicity data, 1,186 (64%) identified as White, 327 (17.7%) as Hispanic/Latino (HL), 217 (11.8%) as Black or African American (AA) and 112 (6.1%) as Asian. In the multivariable Cox model, compared to White patients, rwOS was longer for HL (HR 0.65, 95% CI 0.48-0.88, p =0.005) and Asian (HR 0.64, 95% CI 0.41-0.98, p =0.042) patients. Asian patients had longer median rwOS compared to White patients (19 vs 10.9 months, log-rank p< 0.001). Compared to White patients, HL patients were younger at diagnosis (median 57 vs 67 years, p <0.001) and a greater proportion were female (45% vs 28%, p <0.001). Tumor grade, microsatellite instability, tumor mutational burden, and CLDN18.2 expression differed significantly across groups (all p <0.01), whereas HER2 and PD-L1 status did not. At the genomic level, the frequency of somatic alterations in TP53 (57% HL vs 75% White), CDKN2A (11% Asian vs 21% White), CDH1 (6.9% AA vs 16% HL) differed between groups (all p,q< 0.001). Pathogenic germline variants were identified in 10.1% of AA, 10.7% of Asian, 10.7% of HL, and 15.8% of White patients, most commonly involving HDAC2 , ATR , ATM , and MUTYH , respectively. Transcriptomic profiling via ssGSEA revealed an inflammatory pathway activation among HL and Asian patients, with a significant increase in IL6/JAK/STAT3 and IFN-gamma signaling vs White patients (all q< 0.001). HL patients also demonstrated greater enrichment of the IL2/STAT5, TNFalpha and complement response pathways vs White patients ( q< 0.001). Conclusion: This study represents the largest and most diverse clinico-genomic analysis of gastric cancer. Collectively, these findings highlight distinct clinical presentations, molecular alterations and survival outcomes by race/ethnicity, promoting the critical need for broad molecular testing to inform precision cancer care.
利益披露 Disclosure
K. D. Klingbeil, None. S. Cullina, Tempus AI, Inc. Employment, Stock. N. N. Martinez, None.. M. B. Blegen, None.. K. E. Wright, None.. R. Mora Molina, None.. A. Hayashi, None. A. J. Dugan, Tempus AI, Inc. Employment, Stock. U. Jariwala, Tempus AI, Inc. Employment, Stock. Daiichi Sankyo Employment. S. Fragkogianni, Tempus AI, Inc. Employment, Stock. J. Boiarsky, Tectonic Therapeutics Stock. Immatics N.V. Stock. Compass Therapeutics Stock. L. S. Rosen, None.. M. D. Girgis, None.. B. E. Kadera, None.

← 返回 AACR 2026 检索