RT @el_pais: Descubierto un marcador que indica qué pacientes no responderán a la quimioterapia. La genética de sus tumores puede desvelar….

RT @CNIOStopCancer: #CNIOStopCancer develop test that predicts which patients will not respond to cancer chemotherapy. They have identified….

RT @gjmacintyre: 🚨Chemo treatment upgrade!🚨. Check out our approach to modernise chemotherapy treatment published today in @NatureGenet. Fr….

A pleasure to be at the fantastic #EACR2025 and present my research project! Looking forward for cool scientific discussions with amazing cancer researchers and friends @EACRnews @CNIOStopCancer @BecariosFLC @gjmacintyre

RT @BHFHeptathlon: 💥New preprint from the @gjmacintyre lab!. Thrilled to share this major team effort, with @Sanroman_Fern as co-first auth….

RT @gjmacintyre: @MaxGalder @blaschaves_ @m_escobarrey @patricgsant @alicecadiz_ @LuisPaz_Ares @JuanMaCoya @dagsbio.

RT @gjmacintyre: …and to the patients and funders @CNIOStopCancer @SaludISCIII @CienciaGob @BecariosFLC @H12Octubre.

RT @gjmacintyre: TL;DR Forecasting oncogene amps & tumour suppressor dels is feasible! This can refine risk stratification and anticipate t….

RT @gjmacintyre: MET amps cause EGFRi resistance in ~25% of NSCLCs. Forecasting MET amp in 33 EGFR-mutant NSCLC tumours treated with osimer….

RT @gjmacintyre: Currently, LGGs are classified into 4 WHO risk groups. CDK4/PDGFRA amps and CDKN2A dels are linked with poor prognosis but….

RT @gjmacintyre: Encouraging right? We then applied our approach to two clinical scenarios where forecasting specific genetic changes might….

RT @gjmacintyre: Next we tested longitudinal pairs, forecasting at the early time point (before driver amp) and testing at the latter. In p….

RT @gjmacintyre: First, we tested performance on two independent cohorts: PCAWG: 2,114 primaries; HMF: 4,784 metastases. 147 of the 241 mod….

RT @gjmacintyre: We trained this model for 241 drivers using 7,880 TCGA samples across 33 tumour types. But do these models work? 7/.

RT @gjmacintyre: Challenge 3: forecasting in a clinical setting. Solution: binarise predictions and only use standard genomic test data as….

RT @gjmacintyre: Challenge 2: growth rates of mutant vs non-mutant cells (and thus selection) cannot be easily determined in a clinical con….

RT @gjmacintyre: Challenge 1: amp/del rates cannot be readily measured from an input genome. Solution: approximate using a steady-state pro….

RT @gjmacintyre: Simple model? Seemingly so. But estimating mutation rate and selection coefficients from tumour DNA alone, especially for….

RT @gjmacintyre: Inspired by previous work showing that cancer genome evolution is deterministic .

RT @gjmacintyre: If tumour genome evolution is deterministic, can we forecast genomic changes? Yes we can! At least for oncogene amps and t….