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Dataset Information

Novel molecular typing reveals the risk of recurrence in patients with early-stage papillary thyroid cancer.


ABSTRACT:

Background

Papillary thyroid cancer (PTC) is an indolent disease with a favorable prognosis but characterized by a high recurrence rate. We aimed to improve precise stratification of recurrence risk in PTC patients with early stage using multi-gene signatures.

Patients and methods

The present study was performed using data from The Cancer Genome Atlas (TCGA) and multi-center datasets. Unsupervised consensus clustering was used to obtain the optimal molecular subtypes and least absolute shrinkage and selection operator (LASSO) analysis was performed to identify potential genes for the construction of recurrence signature. Kaplan-Meier survival analysis and the log-rank test was used to detect survival differences. Harrells concordance index (C-index) was used to assess the pe

SUBMITTER: Sun M 

PROVIDER: S-EPMC10983671 | biostudies-literature | 2024 Apr

REPOSITORIES: biostudies-literature