PO.CL01.01 · 临床研究

PHIT评分整合肿瘤生物学以预测PDAC预后和治疗反应

PHIT score integrates tumor biology to predict PDAC prognosis and therapy response

海报缩略图:PHIT评分整合肿瘤生物学以预测PDAC预后和治疗反应
编号 1016 展板 10 时间 4/19 02:00–05:00 区域 Section 40 主讲 Derek Erstad
分会场 Biomarkers Predictive of Therapeutic Benefit 1
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作者与单位 Authors & Affiliations

Derek Erstad1, Alejandro Zulbaran y Rojas1, Christy Chai1, Eugene Choi1, George Van Buren1, E. Ramsay Camp1, William E. Fisher1, Natalie Vokes2

1Baylor College of Medicine, Houston, TX,2University of Texas MD Anderson Cancer Center, Houston, TX

摘要 Abstract

中文摘要
背景:胰腺导管腺癌(PDAC)在肿瘤可塑性(P)、异质性(H)、免疫抑制(I)和治疗耐药(T)方面表现出广泛的变异。现有的临床和分子分类器仅捕捉了这一生物学的部分内容。我们开发了PHIT,一种整合这四个维度的12基因转录组评分,并评估了其在可切除和转移性PDAC中的预后和治疗相关性。 方法:对来自TCGA、PACA-CA/ICGC和CPTAC(n=419)的RNA-seq进行批次校正,并使用加权Cox模型分析以生成基因水平的生存系数。将这些系数与转移性COMPASS队列(n=188;在所有患者以及FOLFIRINOX和吉西他滨/白蛋白结合型紫杉醇亚组内的连续肿瘤体积变化和PR/SD/PD分类)的化疗反应指标相整合,以构建联合的生存-化疗复合指标。Bootstrap选择产生了12基因PHIT特征。使用训练队列的均值/标准差和Cox logHR权重计算PHIT评分。使用Kaplan-Meier、Cox模型和c指数检验预后性能。验证包括PACA-AU、Chen、Nones和Moffitt队列(n=339)。Hallmark分析比较了分子亚型内PHIT高与PHIT低的肿瘤。 结果:PHIT在419例患者的训练队列中显著分层了总生存期(OS)(PHIT Q1 vs Q4的中位数为32.7 vs 10.4个月;HR 3.49,p=7×10⁻¹⁴),改善了肿瘤分级/分期模型(c指数0.590→0.685),并在校正Moffitt、Collisson和Bailey分子亚型后仍保持独立预后价值(HR 2.36,p<0.001)。在COMPASS中,PHIT与化疗耐药相关(肿瘤体积变化总体r=0.40;FOLFIRINOX为0.45;GA为0.34),并分层了转移性OS(12.6 vs 5.6个月;HR 2.92,p=1.4×10⁻⁵)。在验证队列中,PHIT一致地区分了风险:PACA-AU(50.4 vs 10.9个月;HR 4.90,p=0.008)、Chen(31.5 vs 15.6;HR 3.09,p=0.01)、Nones(24.5 vs 15.1;HR 3.47,p=0.01)以及合并阵列(30.1 vs 15.1;HR 2.45,p=6.45×10⁻⁵)。在机制上,PHIT高的经典型(Classical)肿瘤显示出EMT、ECM重塑和炎性NF-κB通路的选择性富集,而PHIT高的基底样(Basal-like)肿瘤则显示出糖酵解和代谢可塑性,伴有缺氧、mTORC1以及增殖性G2M/E2F程序。这些亚型特异性模式在Collisson和Bailey框架中均可重现。 结论:PHIT是一个简洁的转录组评分,整合了侵袭性PDAC生物学的四个维度。它在七个队列(n=946)中预测生存,与化疗反应相关,并揭示了不同的EMT相关和糖酵解相关的高PHIT表型,支持其在生物学风险分层和治疗选择中的应用价值。
查看英文原文 English abstract
Background: Pancreatic ductal adenocarcinoma (PDAC) exhibits wide variation in tumor plasticity (P), heterogeneity (H), immune suppression (I), and treatment resistance (T). Existing clinical and molecular classifiers capture only part of this biology. We developed PHIT, a 12-gene transcriptomic score integrating these four axes, and evaluated its prognostic and therapeutic relevance across resected and metastatic PDAC. Methods: RNA-seq from TCGA, PACA-CA/ICGC, and CPTAC (n=419) was batch-corrected and analyzed with weighted Cox models to generate gene-level survival coefficients. These were integrated with chemotherapy-response metrics from the metastatic COMPASS cohort (n=188; continuous tumor-volume change and PR/SD/PD categories across all patients and within FOLFIRINOX and gemcitabine/nab-paclitaxel subgroups) to build a joint survival-chemo composite. Bootstrap selection yielded a 12-gene PHIT signature. PHIT scores were computed using training-cohort means/SDs and Cox logHR weights. Prognostic performance was tested using Kaplan-Meier, Cox models, and c-index. Validation included PACA-AU, Chen, Nones, and Moffitt cohorts (n=339). Hallmark analyses compared PHIT-high vs PHIT-low tumors within molecular subtypes. Results: PHIT significantly stratified overall survival (OS) in the 419-patient training cohort (median 32.7 vs 10.4 months for PHIT Q1 vs Q4; HR 3.49, p=7×10⁻¹⁴), improved a tumor grade/stage model (c-index 0.590→0.685), and remained independently prognostic after adjustment for Moffitt, Collisson, and Bailey molecular subtypes (HR 2.36, p<0.001). In COMPASS, PHIT correlated with chemotherapy resistance (tumor-volume change r=0.40 overall; 0.45 FOLFIRINOX; 0.34 GA) and stratified metastatic OS (12.6 vs 5.6 months; HR 2.92, p=1.4×10⁻⁵). In validation cohorts, PHIT consistently separated risk: PACA-AU (50.4 vs 10.9 months; HR 4.90, p=0.008), Chen (31.5 vs 15.6; HR 3.09, p=0.01), Nones (24.5 vs 15.1; HR 3.47, p=0.01), and combined arrays (30.1 vs 15.1; HR 2.45, p=6.45×10⁻⁵). Mechanistically, PHIT-high Classical tumors showed selective enrichment of EMT, ECM remodeling, and inflammatory NF-κB pathways, whereas PHIT-high Basal-like tumors showed glycolytic and metabolic plasticity with hypoxia, mTORC1, and proliferative G2M/E2F programs. These subtype-specific patterns were reproducible across Collisson and Bailey frameworks. Conclusions: PHIT is a concise transcriptomic score that integrates four dimensions of aggressive PDAC biology. It predicts survival across seven cohorts (n=946), correlates with chemotherapy response, and reveals distinct EMT- and glycolysis-associated high-PHIT phenotypes, supporting its utility for biological risk stratification and treatment selection.
利益披露 Disclosure
D. Erstad, None.. A. Zulbaran y Rojas, None.. C. Chai, None.. E. Choi, None.. G. Van Buren, None.. E. Camp, None.. W. E. Fisher, None.. N. Vokes, None.

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