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人类癌症中BRAF转录变体的情况

Landscape of BRAF transcript variants in human cancer.

作者信息

Podda Maurizio S, Tatoni Danilo, Mattei Gianluca, Magi Alberto, D'Aurizio Romina, Poliseno Laura

机构信息

Institute of Clinical Physiology (IFC), CNR, Pisa, Italy.

Oncogenomics Unit, Core Research Laboratory (CRL), ISPRO, Pisa, Italy.

出版信息

Mol Oncol. 2025 Sep;19(9):2700-2714. doi: 10.1002/1878-0261.70043. Epub 2025 May 25.

Abstract

The BRAFV600E mutant kinase is widely studied as a cancer driver and therapeutic target. Here, we investigated how the annotation of the BRAF-reference (ref) and BRAF-X1 variants has evolved in public databases and addressed challenges posed by their discrimination and quantification from short-read sequencing. We built IsoWorm, a bioinformatic pipeline tailored to discriminate and quantify BRAF variants, and employed it to analyze > 600 cancer cell lines and > 1000 cancer tissue samples. Using FLIBase, we reanalyzed TCGA data from > 9000 cancer tissue samples. We consistently found that BRAF-X1 (now BRAF-204) is very abundant in human cancer and its expression is 1.5-75 times greater than that of BRAF-ref (now BRAF-220). Crucially, we identified KIRP-kidney renal papillary cell carcinoma as a cancer subtype in which a high BRAF-204/BRAF-220 ratio is an independent prognostic factor of poor outcome. Our in silico analyses establish BRAF as a mix of two protein-coding transcript variants, with BRAF-204 being more highly expressed than BRAF-220. These findings prompt us to undertake the systematic benchmarking of BRAF-204 against BRAF-220 in terms of molecular mechanisms, biological activities, druggability, and clinical relevance.

摘要

BRAFV600E突变激酶作为一种癌症驱动因子和治疗靶点受到了广泛研究。在此,我们调查了BRAF参考(ref)和BRAF-X1变体在公共数据库中的注释是如何演变的,并解决了从短读长测序中区分和定量它们所带来的挑战。我们构建了IsoWorm,这是一个专门用于区分和定量BRAF变体的生物信息学流程,并使用它来分析600多个癌细胞系和1000多个癌症组织样本。我们利用FLIBase重新分析了来自9000多个癌症组织样本的TCGA数据。我们一致发现BRAF-X1(现称BRAF-204)在人类癌症中非常丰富,其表达量比BRAF-ref(现称BRAF-220)高1.5至75倍。至关重要的是,我们将肾乳头状细胞癌(KIRP)确定为一种癌症亚型,其中高BRAF-204/BRAF-220比值是预后不良的独立预测因素。我们的计算机分析确定BRAF是两种蛋白质编码转录变体的混合物,其中BRAF-204的表达量高于BRAF-220。这些发现促使我们在分子机制、生物学活性、药物可及性和临床相关性方面对BRAF-204与BRAF-220进行系统的基准测试。

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