PO.PS01.01 · 人群科学

体重指数相关的转录组特征揭示非小细胞肺癌中免疫、基质和代谢重塑:对肥胖悖论的见解

Body mass index-associated transcriptomic signatures reveal immune, stromal, and metabolic rewiring in non-small cell lung cancer: Insights into the obesity paradox

编号 2307 展板 6 时间 4/20 09:00–12:00 区域 Section 35 主讲 Roberto Borea, MD
分会场 Biomarkers of Endogenous or Exogenous Exposures, Early Detection, Biological Effects, and Prognosis
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作者与单位 Authors & Affiliations

Roberto Borea, Eswar Shankar, Francesco Drago, Carlos Ayala de Miguel, Estela Puchulu-Campanella, Christian Rolfo, Giovanni Nigita

Division of Medical Oncology, Department of Internal Medicine, The Ohio State University Comprehensive Cancer Center, College of Medicine, Columbus, OH

摘要 Abstract

中文摘要
尽管肥胖会增加癌症风险,但肥胖的非小细胞肺癌(NSCLC)患者却矛盾地表现出更好的生存。这种“肥胖悖论”的生物学基础仍不清楚。高通量分析可揭示与体重指数(BMI)相关的转录网络,这些网络塑造免疫、代谢和基质反应,从而阐明这种“肥胖悖论”是否反映了真正的肿瘤-微环境相互作用,而非临床混杂因素。我们分析了俄亥俄州立大学 ORIEN Avatar 数据中 263 例 NSCLC 患者的全转录组样本。患者被分为消瘦组(BMI<25;n=93)、超重组(25≤BMI<30;n=78)和肥胖组(BMI≥30;n=92)。在所有组间进行差异表达(DE)分析(消瘦对超重、消瘦对肥胖、超重对肥胖)。保留显著失调的转录本(p<0.01 且 |倍数变化|>1.5)用于下游分析。采用 Ingenuity Pathway Analysis(p<0.05)进行经典通路富集。出现了不同的 BMI 依赖性转录组特征。在肥胖对消瘦中,40 个转录本失调并富集于代谢过程(NAD⁺ 生物合成、非氧化 PPP),提示代谢重编程。超重对消瘦揭示了 358 个失调转录本,伴随免疫激活上调(Th1/Th2、ICOS-ICOSL、IL-2 家族、B 细胞中的 PI3K 信号),表明适应性免疫尤其是 T 细胞免疫增强。肥胖对超重揭示了 304 个失调转录本,富集于细胞外基质、血小板-胶原和破骨细胞信号,提示肥胖中基质重塑受到抑制。失调转录本的重叠较小(O对L∩O对Ow=1;O对L∩Ow对L=7;O对Ow∩Ow对L=52;三者重叠≈0),提示各组特异性生物学。我们的研究结果描绘了 NSCLC 中三种 BMI 相关的程序:超重肿瘤中的免疫激活、肥胖中的 ECM 抑制和血小板信号,以及肥胖对消瘦肿瘤中的代谢重塑。中度肥胖似乎促成了免疫活跃的微环境,而更高的肥胖度则诱导基质静止和氧化还原适应,这与更高 BMI 下免疫治疗结局改善的报道相一致。肥胖亚组的 ECM/血小板和 NAD⁺ 补救/PPP 特征提示可采用联合策略(例如,基质或抗血小板药物联合 PD-1/PD-L1 阻断、NAMPT 抑制),并提示 BMI 相关的分子异质性可能促成了“肥胖悖论”。
查看英文原文 English abstract
Although obesity increases cancer risk, obese patients with non-small cell lung cancer (NSCLC) paradoxically exhibit better survival. The biological basis of this “ obesity paradox ” remains unclear. High-throughput profiling can reveal body mass index (BMI)-linked transcriptional networks that shape immune, metabolic, and stromal responses, clarifying whether this “obesity paradox” reflects true tumor-microenvironment interactions rather than clinical confounders.We analyzed whole-transcriptome samples from 263 NSCLC patients in the ORIEN Avatar data at The Ohio State University. Patients were stratified into Lean (BMI<25; n=93), Overweight (25≤BMI<30; n=78), and Obese (BMI≥30; n=92) groups. Differential expression (DE) analyses (Lean vs Overweight, Lean vs Obese, Overweight vs Obese) were performed across all groups. Significantly deregulated transcripts (p<0.01 and |fold-change|>1.5) were retained for downstream analyses. Canonical pathway enrichment was conducted using Ingenuity Pathway Analysis (p<0.05).Distinct BMI-dependent transcriptomic signatures emerged. In Obese vs Lean, 40 transcripts were deregulated and enriched for metabolic processes (NAD⁺ biosynthesis, non-oxidative PPP), suggesting metabolic reprogramming. Overweight vs Lean revealed 358 deregulated transcripts with upregulated immune activation (Th1/Th2, ICOS-ICOSL, IL-2 family, PI3K signaling in B cells), indicating enhanced adaptive, particularly T-cell, immunity. Obese vs Overweight revealed 304 deregulated transcripts enriched for extracellular matrix, platelet-collagen, and osteoclast signaling, implying stromal remodeling suppression in obesity. Overlap of deregulated transcripts was modest (OvsL∩OvsOw=1; OvsL∩OwvsL=7; OvsOw∩OwvsL=52; triple overlap≈0), implying group-specific biology.Our findings delineate three BMI-linked programs in NSCLC: immune activation in overweight tumors, ECM suppression and platelet signaling in obesity, and metabolic rewiring in obese versus lean tumors. Moderate adiposity appears to foster an immune-active microenvironment, whereas higher adiposity induces stromal quiescence and redox adaptation, consistent with reports of improved immunotherapy outcomes at higher BMI. The obese subgroup's ECM/platelet and NAD⁺ salvage/PPP signatures nominate combinatorial strategies (e.g., stromal or antiplatelet agents with PD-1/PD-L1 blockade, NAMPT inhibition) and suggest that BMI-associated molecular heterogeneity may contribute to the “obesity paradox.”
利益披露 Disclosure
R. Borea, None.. E. Shankar, None.. F. Drago, None.. C. Ayala de Miguel, None.. E. Puchulu-Campanella, None.. C. Rolfo, None.. G. Nigita, None.

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