根据转移性实体瘤患者转录组学与生存期之间的相关性,确定关键预后基因的中心网络枢纽。

IF 4.3 2区 医学 Q2 ONCOLOGY Therapeutic Advances in Medical Oncology Pub Date : 2024-10-17 eCollection Date: 2024-01-01 DOI:10.1177/17588359241289200
Vladimir Lazar, Eric Raymond, Shai Magidi, Catherine Bresson, Fanny Wunder, Ioana Berindan-Neagoe, Annemilaï Tijeras-Rabaland, Jacques Raynaud, Amir Onn, Michel Ducreux, Gerald Batist, Ulrik Lassen, Fin Cilius Nielsen, Richard L Schilsky, Eitan Rubin, Razelle Kurzrock
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引用次数: 0

摘要

背景:癌症中失调的通路可能是上瘾的枢纽。确定这些失调网络的靶点可能会带来新的治疗方案:考虑到中心枢纽与致死率增加有关的假说,确定中心网络中的关键枢纽靶点可能会开发出对晚期转移性实体瘤有更好疗效的新型药物:探索来自 WINTHER 试验(N = 101 名各种转移性癌症患者)的转录组数据(22,000 个基因产物),其中既有肿瘤组织,也有正常器官匹配组织:方法:对转录组中的所有基因进行回顾性硅分析,以确定肿瘤组织和正常组织之间表达不同的基因(配对 t 检验),并通过生存分析(Cox 比例危险回归算法)确定这些基因与生存结果的关系。根据已确定基因的生物学相关性,然后确定中心网络中感兴趣的枢纽靶点。根据这些基因的表达水平对患者进行分组(K-均值聚类),并研究这些分组与生存的关系(Cox比例危险回归算法、Forest图和Kaplan-Meier图):我们发现了四个关键的中心基因--LLOD3、ARHGAP11A、RNF216和CDCA8,与类似的正常组织相比,这些基因在肿瘤组织中的高表达与较差的预后有最显著的相关性。这种相关性与肿瘤或治疗类型无关。这四个基因的组合与较差预后的相关性最高:总生存期(危险比(95% 置信区间 (CI)) = 10.5 (3.43-31.9) p = 9.12E-07 在考克斯比例危险回归模型中的对数rank检验)。研究结果在独立队列中得到了验证:结论:PLOD3、ARHGAP11A、RNF216 和 CDCA8 的表达结合在一起,构成了一种预后工具,与肿瘤类型和既往治疗无关。这些基因是拦截各种癌症中枢网络的潜在靶点,为新型治疗干预提供了途径。
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Identification of a central network hub of key prognostic genes based on correlation between transcriptomics and survival in patients with metastatic solid tumors.

Background: Dysregulated pathways in cancer may be hub addicted. Identifying these dysregulated networks for targeting might lead to novel therapeutic options.

Objective: Considering the hypothesis that central hubs are associated with increased lethality, identifying key hub targets within central networks could lead to the development of novel drugs with improved efficacy in advanced metastatic solid tumors.

Design: Exploring transcriptomic data (22,000 gene products) from the WINTHER trial (N = 101 patients with various metastatic cancers), in which both tumor and normal organ-matched tissue were available.

Methods: A retrospective in silico analysis of all genes in the transcriptome was conducted to identify genes different in expression between tumor and normal tissues (paired t-test) and to determine their association with survival outcomes using survival analysis (Cox proportional hazard regression algorithm). Based on the biological relevance of the identified genes, hub targets of interest within central networks were then pinpointed. Patients were grouped based on the expression level of these genes (K-mean clustering), and the association of these groups with survival was examined (Cox proportional hazard regression algorithm, Forest plot, and Kaplan-Meier plot).

Results: We identified four key central hub genes-PLOD3, ARHGAP11A, RNF216, and CDCA8, for which high expression in tumor tissue compared to analogous normal tissue had the most significant correlation with worse outcomes. The correlation was independent of tumor or treatment type. The combination of the four genes showed the highest significance and correlation with the poorer outcome: overall survival (hazard ratio (95% confidence interval (CI)) = 10.5 (3.43-31.9) p = 9.12E-07 log-rank test in a Cox proportional hazard regression model). Findings were validated in independent cohorts.

Conclusion: The expression of PLOD3, ARHGAP11A, RNF216, and CDCA8 constitute, when combined, a prognostic tool, agnostic of tumor type and previous treatments. These genes represent potential targets for intercepting central hub networks in various cancers, offering avenues for novel therapeutic interventions.

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来源期刊
CiteScore
8.20
自引率
2.00%
发文量
160
审稿时长
15 weeks
期刊介绍: Therapeutic Advances in Medical Oncology is an open access, peer-reviewed journal delivering the highest quality articles, reviews, and scholarly comment on pioneering efforts and innovative studies in the medical treatment of cancer. The journal has a strong clinical and pharmacological focus and is aimed at clinicians and researchers in medical oncology, providing a forum in print and online for publishing the highest quality articles in this area. This journal is a member of the Committee on Publication Ethics (COPE).
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