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Understanding the molecular subtype of a cancer is becoming an importance part of the diagnostic process as it helps a doctor better understand a patient’s prognosis, determine the best course of action for treatment and helps researchers devise new, more-efficient, precision therapies.

Image information can be used to predict the molecular classification of patient tumour samples in colour, using state-of-the-art deep learning models in pathology © S:CORT

HLA Heterozygosity Influences Colorectal Cancer Risk and Survival Outcome.

Journal article

Tsai Y-Y. et al, (2026), Gastroenterology, 170, 619 - 622

Negative Selection Maintains Grossly Altered but Broadly Stable Karyotypes in Metastatic Colorectal Cancer.

Journal article

Cross WCH. et al, (2026), Cancer Discov, 16, 218 - 234

Survival outcomes of ERBB2-amplified metastatic colorectal cancer treated with first-line chemotherapy.

Journal article

Matsubara Y. et al, (2026), Br J Cancer, 134, 463 - 468

Media coverage and PATHFINDER2: hype, simplification, and free advertising.

Journal article

Turnbull C. et al, (2026), Lancet Oncol, 27, 144 - 145

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