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
{"title":"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","authors":"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","doi":"10.1200/PO.24.00266","DOIUrl":null,"url":null,"abstract":"<p><strong>Purpose: </strong>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.</p><p><strong>Patients and methods: </strong>Fresh tumor tissue from patients enrolled in the Copenhagen Prospective Personalized Oncology study was collected and underwent comprehensive molecular profiling.</p><p><strong>Results: </strong><i>TP53</i> comutations were most frequently detected. Patients with a <i>TP53</i> wild-type tumor had a significantly longer median progression-free survival than those with <i>TP53</i> comutations (hazard ratio, 2.8 [95% CI, 1.13 to 7.08]; <i>P</i> = .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.</p><p><strong>Conclusion: </strong>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.</p>","PeriodicalId":14797,"journal":{"name":"JCO precision oncology","volume":"9 ","pages":"e2400266"},"PeriodicalIF":5.3000,"publicationDate":"2025-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922189/pdf/","citationCount":"0","resultStr":"{\"title\":\"Multiomics Identifies Potential Molecular Profiles Associated With Outcomes After BRAF-Targeted Therapy in Patients With BRAF V600E-Mutated Advanced Solid Tumors.\",\"authors\":\"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\",\"doi\":\"10.1200/PO.24.00266\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Purpose: </strong>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.</p><p><strong>Patients and methods: </strong>Fresh tumor tissue from patients enrolled in the Copenhagen Prospective Personalized Oncology study was collected and underwent comprehensive molecular profiling.</p><p><strong>Results: </strong><i>TP53</i> comutations were most frequently detected. Patients with a <i>TP53</i> wild-type tumor had a significantly longer median progression-free survival than those with <i>TP53</i> comutations (hazard ratio, 2.8 [95% CI, 1.13 to 7.08]; <i>P</i> = .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.</p><p><strong>Conclusion: </strong>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.</p>\",\"PeriodicalId\":14797,\"journal\":{\"name\":\"JCO precision oncology\",\"volume\":\"9 \",\"pages\":\"e2400266\"},\"PeriodicalIF\":5.3000,\"publicationDate\":\"2025-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11922189/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"JCO precision oncology\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1200/PO.24.00266\",\"RegionNum\":2,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2025/3/13 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"ONCOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"JCO precision oncology","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1200/PO.24.00266","RegionNum":2,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2025/3/13 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"ONCOLOGY","Score":null,"Total":0}
Multiomics Identifies Potential Molecular Profiles Associated With Outcomes After BRAF-Targeted Therapy in Patients With BRAF V600E-Mutated Advanced Solid Tumors.
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.