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Article

Radiogenomics for predicting p53 status, PD-L1 expression, and prognosis with machine learning in pancreatic cancer.

British journal of cancer - 1 Oct 2020

Iwatate Yosuke, Hoshino Isamu, Yokota Hajime, Ishige Fumitaka, Itami Makiko, Mori Yasukuni, Chiba Satoshi, Arimitsu Hidehito, Yanagibashi Hiroo, Nagase Hiroki, Takayama Wataru

Abstract excerpt

BACKGROUND: Radiogenomics is an emerging field that integrates "Radiomics" and "Genomics". In the current study, we aimed to predict the genetic information of pancreatic tumours in a simple, inexpensive, and non-invasive manner, using cancer imaging analysis and radiogenomics. We focused on p53 mutations, which are highly implicated in pancreatic ductal adenocarcinoma (PDAC), and PD-L1, a biomarker for immune...

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Share to Carcinoma, Pancreatic Ductal

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Source

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Identifiers

PMID: 32690867
DOI: 10.1038/s41416-020-0997-1
PMCID: PMC7555500

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 6 Sept 2026. Manifest publication-graph-cohort-2026-09-06.1.

Source receipt: pubmed, retrieved 6 Sept 2026.

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