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Article

Integrating imaging and RNA-seq improves outcome prediction in cervical cancer

28 Feb 2021

Abstract excerpt

Approaches using a single type of data have been applied to classify human tumors. Here we integrate imaging features and transcriptomic data using a prospectively collected tumor bank. We demonstrate that increased maximum standardized uptake value on pretreatment 18F-fluorodeoxyglucose-positron emission tomography correlates with epithelial-to-mesenchymal transition (EMT) gene expression. We derived and...

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Share to Cancer-related molecular mechanisms research
Share to Cervical Cancer and HPV Research
Share to Endometrial and Cervical Cancer Treatments

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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PMID: 33645544
DOI: 10.1172/jci139232

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