Landscape of <i>BRAF</i> transcript variants in human cancer
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.
Authors
- Danilo Tatoni (ORCID: https://orcid.org/0000-0002-9596-8908)
- Maurizio Podda (ORCID: https://orcid.org/0000-0001-8971-5560)
- Romina D’Aurizio (ORCID: https://orcid.org/0000-0002-1728-6397)
- Alberto Magi (ORCID: https://orcid.org/0000-0001-7393-4283)
- Laura Poliseno (ORCID: https://orcid.org/0000-0001-6557-955X)
- Gianluca Mattei (ORCID: https://orcid.org/0000-0002-7421-0663)
Institutions
- University of Siena (IT)
- University of Pisa (IT)
- Istituto di Fisiologia Clinica (IT)
- Institute of Informatics and Telematics (IT)
- University of Florence (IT)
Publication Details
- Journal
- Molecular Oncology
- Published
- 2025-05-25
- DOI
- https://doi.org/10.1002/1878-0261.70043
- Primary Topic
- Ferroptosis and cancer prognosis
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Regione Toscana