揭示改变:跨越癌症类型规避治疗耐药性的分子见解。

Unraveling alterations: molecular insights to circumvent therapeutic resistance across cancer types.

作者信息

Perfetto Caterina, Aprile Marianna, Cataldi Simona, Giovannetti Elisa, Costa Valerio

机构信息

Institute of Genetics and Biophysics (IGB), National Research Council of Italy (CNR), Naples 80131, Italy.

Department of Environmental, Biological and Pharmaceutical Sciences and Technologies (DiSTABiF), University of Campania "Luigi Vanvitelli", Caserta 81100, Italy.

出版信息

Cancer Drug Resist. 2025 Mar 24;8:14. doi: 10.20517/cdr.2024.213. eCollection 2025.

Abstract

As intrinsic resistance - often driven by concurrent genomic alterations in tumor suppressor genes or oncogenes - remains a major challenge in oncology, this work aimed to comprehensively analyze somatic alterations across cancer types and identify new potential therapeutic strategies to overcome drug resistance. We conducted an extensive analysis of genomics, transcriptomics, and clinical data retrieved from public repositories, including cBioPortal. Our comprehensive analysis examined alterations [point mutations, structural variants (SVs) and copy number alteration] in more than 217,000 tumor samples across 120 distinct tumor types from primary and metastatic sites in both adult and pediatric cohorts, focusing on mutual exclusivity and co-occurrence of mutations in other oncogenes or tumor suppressors. The work also explores the association of somatic alterations with survival, clinical and molecular features. Analysis of mutation frequencies across cancer types revealed that BRAFV600E represents approximately 90% of all alterations. While melanoma and thyroid carcinoma show the highest prevalence of mutations, followed by colorectal and non-small cell lung cancer in terms of absolute number of patients harboring mutations worldwide, notably high mutation frequencies were identified in rare malignancies, including hairy-cell leukemia, ganglioglioma, and serous borderline ovarian tumors. The comprehensive analysis of genomic profiling data across these tumors uncovered distinct patterns of co-occurring and mutually exclusive alterations in oncogenes and tumor suppressor genes, illuminating resistance mechanisms and suggesting novel therapeutic combinations. Comprehensive genomic profiling is critical for optimizing targeted therapy and overcoming drug resistance in -mutated cancers. The identification of co-occurring alterations provides opportunities for rational combination therapies, emphasizing the importance of detailed mutation profiling in developing effective treatment strategies across diverse cancer types.

摘要

由于内在抗性(通常由肿瘤抑制基因或癌基因中同时发生的基因组改变驱动)仍然是肿瘤学中的一个主要挑战,这项工作旨在全面分析不同癌症类型中的体细胞改变,并确定克服耐药性的新的潜在治疗策略。我们对从包括cBioPortal在内的公共数据库中检索到的基因组学、转录组学和临床数据进行了广泛分析。我们的综合分析检查了来自成人和儿童队列的原发和转移部位的120种不同肿瘤类型的超过217,000个肿瘤样本中的改变(点突变、结构变异和拷贝数改变),重点关注其他癌基因或肿瘤抑制基因中突变的互斥性和共现性。这项工作还探讨了体细胞改变与生存、临床和分子特征之间的关联。对不同癌症类型的突变频率分析表明,BRAFV600E约占所有改变的90%。虽然黑色素瘤和甲状腺癌的突变患病率最高,就全球携带突变的患者绝对数量而言,其次是结直肠癌和非小细胞肺癌,但在罕见恶性肿瘤中也发现了显著高的突变频率,包括毛细胞白血病、神经节胶质瘤和浆液性交界性卵巢肿瘤。对这些肿瘤的基因组图谱数据的综合分析揭示了癌基因和肿瘤抑制基因中共现和互斥改变的不同模式,阐明了耐药机制并提出了新的治疗组合。全面的基因组图谱分析对于优化靶向治疗和克服突变癌症中的耐药性至关重要。共现改变的识别为合理的联合治疗提供了机会,强调了详细的突变图谱分析在制定针对不同癌症类型的有效治疗策略中的重要性。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4b94/11977354/7bc687af46cb/cdr-8-14.fig.1.jpg

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