AIMC Topic: DNA Polymerase II

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Machine learning-based prediction of microsatellite instability and high tumor mutation burden from contrast-enhanced computed tomography in endometrial cancers.

Scientific reports Oct 20, 2020
To evaluate whether radiomic features from contrast-enhanced computed tomography (CE-CT) can identify DNA mismatch repair deficient (MMR-D) and/or tumor mutational burden-high (TMB-H) endometrial cancers (ECs). Patients who underwent targeted massive...
Humans Machine Learning Computer Simulation Prognosis Tomography, X-Ray Computed Female Aged Middle Aged Cohort Studies Uterus Neoplasm Staging Microsatellite Instability DNA Mismatch Repair Mutation Tumor Suppressor Protein p53 Endometrial Neoplasms Carcinoma, Endometrioid DNA Polymerase II Poly-ADP-Ribose Binding Proteins
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