Expression based biomarkers and models to classify early and late-stage samples of Papillary Thyroid Carcinoma.

ABSTRACT:

Introduction

Recently, the rise in the incidences of thyroid cancer worldwide renders it to be the sixth most common cancer among women. Commonly, Fine Needle Aspiration biopsy predominantly facilitates the diagnosis of the nature of thyroid nodules. However, it is inconsiderable in determining the tumor's state, i.e., benign or malignant. This study aims to identify the key RNA transcripts that can segregate the early and late-stage samples of Thyroid Carcinoma (THCA) using RNA expression profiles.

Materials and methods

In this study, we used the THCA RNA-Seq dataset of The Cancer Genome Atlas, consisting of 500 cancer and 58 normal (adjacent non-tumorous) samples obtained from the Genomics Data Commons (GDC) data portal. This dataset was dissected to identify key RNA expre

SUBMITTER: Bhalla S 

PROVIDER: S-EPMC7179925 | biostudies-literature | 2020

REPOSITORIES: biostudies-literature