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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

The vital role of p97/valosin-containing protein-mediated degradation pathways in tumour immunity.

Journal article

Phyu SM. et al, (2026), Curr Opin Cell Biol, 99

A hierarchy of causes of death in senescent C. elegans

Journal article

Wang H. et al, (2026), npj Aging

ISDE guidelines on the management of cT2N0 esophageal cancer.

Journal article

Kohn GP. et al, (2026), Dis Esophagus, 39

HLA Heterozygosity Influences Colorectal Cancer Risk and Survival Outcome.

Journal article

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

The OligoPanc project: an interdisciplinary expert consensus statement on oligometastatic pancreatic cancer.

Journal article

Leonhardt C-S. et al, (2026), Lancet Oncol, 27, e141 - e149

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