Multiomics Identifies Potential Molecular Profiles Associated With Outcomes After BRAF-Targeted Therapy in Patients With BRAF V600E-Mutated Advanced Solid Tumors.

IF 5.6 2区 医学 Q1 ONCOLOGY JCO precision oncology Pub Date : 2025-03-01 Epub Date: 2025-03-13 DOI:10.1200/PO.24.00266
Martina Eriksen, Anne M Hansen, Annelaura B Nielsen, Filip Mundt, Matthias Mann, Ulrik Lassen, Lise B Ahlborn, Martin Højgaard, Iben Spanggaard, Camilla Qvortrup, Christina W Yde, Kristoffer S Rohrberg
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Abstract

Purpose: It is a clinical challenge to select patients for BRAF-targeted therapy because of the lack of predictive biomarkers besides the BRAF V600E mutation. By analyzing the genome, transcriptome, and proteome, this study investigated the association between baseline molecular alterations and outcomes of BRAF-targeted therapy.

Patients and methods: Fresh tumor tissue from patients enrolled in the Copenhagen Prospective Personalized Oncology study was collected and underwent comprehensive molecular profiling.

Results: TP53 comutations were most frequently detected. Patients with a TP53 wild-type tumor had a significantly longer median progression-free survival than those with TP53 comutations (hazard ratio, 2.8 [95% CI, 1.13 to 7.08]; P = .02). RNAseq revealed a distinct gene expression signature for patients with long-term disease control (LDC), including hallmarks of cell cycle arrest and proliferation in the p53 pathway. The protein analysis demonstrated that ubiquitin-conjugating enzyme EK2 was significantly downregulated in patients with LDC.

Conclusion: Using a multiomic approach, we identified molecular alterations associated with treatment outcomes. The potential of analyzing multiomic data is promising and should be prioritized in translational cancer research to uncover the full potential within precision oncology.

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多组学发现与BRAF V600E突变晚期实体瘤患者接受BRAF靶向疗法后疗效相关的潜在分子图谱
目的:除了BRAF V600E突变外,由于缺乏预测性生物标志物,选择BRAF靶向治疗的患者是一项临床挑战。通过分析基因组、转录组和蛋白质组,本研究调查了基线分子改变与braf靶向治疗结果之间的关系。患者和方法:收集哥本哈根前瞻性个性化肿瘤学研究中患者的新鲜肿瘤组织,并进行全面的分子分析。结果:TP53计算最多检出。TP53野生型肿瘤患者的中位无进展生存期明显长于TP53恶性肿瘤患者(风险比为2.8 [95% CI, 1.13 ~ 7.08];P = .02)。RNAseq揭示了长期疾病控制(LDC)患者的独特基因表达特征,包括p53通路中细胞周期阻滞和增殖的标志。蛋白质分析表明,泛素偶联酶EK2在ldl患者中显著下调。结论:使用多组学方法,我们确定了与治疗结果相关的分子改变。分析多组数据的潜力是有希望的,应该优先考虑转化癌症研究,以揭示精确肿瘤学的全部潜力。
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CiteScore
9.10
自引率
4.30%
发文量
363
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