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ABSTRACT: Background
Advanced cervical cancer carries a particularly poor prognosis, and few treatment options exist. Identification of effective molecular markers is vital to improve the individualisation of treatment. We investigated transcriptional data from cervical carcinomas related to patient survival and recurrence to identify potential molecular drivers for aggressive disease.Methods
Primary tumour RNA-sequencing profiles from 20 patients with recurrence and 53 patients with cured disease were compared. Protein levels and prognostic impact for selected markers were identified by immunohistochemistry in a population-based patient cohort.Results
Comparison of tumours relative to recurrence status revealed 121 differentially expressed genes. From this gene set, a 10-gen
SUBMITTER: Halle MK
PROVIDER: S-EPMC8110544 | biostudies-literature | 2021 May
REPOSITORIES: biostudies-literature