Investigating the Molecular Profile of Thyroid Cancer: COL13A1 and COL23A1 as Biomarkers for Diagnosis and Prognosis

Author:

Islam Md. Wahidul1,Rahman Md. Minhajur1,Naznin Homaira1,Akter Tahmina1,Shatabde Zayeda Akter1,Hossain Md. Jubayer1,Hossain Md. Shohel1

Affiliation:

1. Center for Health Innovation, Research, Action, and Learning—Bangladesh (CHIRAL Bangladesh)

Abstract

Abstract

Thyroid cancer, the most prevalent endocrine malignancy globally, poses challenges owing to the limited understanding of its molecular drivers. Previous research has highlighted collagen genes, such as COL13A1 and COL23A1 as key players in thyroid cancer. This study aimed to comprehensively investigate gene expression, genetic alterations, DNA methylation, and prognostic significance of COL13A1 and COL23A1. This study utilized a multi-omics strategy using TCGA database, including TIMER 2.0, GEPIA2, UALCAN, HPA, cBioPortal, STRING, Enrichr, and Kaplan-Meier Plotter. Our results showed distinct expression patterns for COL13A1 and COL23A1. COL13A1 was significantly upregulated, while COL23A1 was downregulated in tumor tissues compared to normal tissues. Expression levels vary according to sample type, tumor stage, and histology, with higher COL13A1 staining intensity and moderate COL23A1 staining in tumors. Both increased COL13A1 and decreased COL23A1 expression have been linked to poor prognosis. Promoter methylation levels also differ, showing higher COL13A1 and lower COL23A1 methylation in tumors. SGIP1 and SLC26A4 were identified as the most co-expressed genes. In consolidations, COL13A1 and COL23A1 have emerged as diagnostic and prognostic markers of thyroid cancer. Co-expression analysis suggests interactions between SGIP1 and SLC26A4, implicating diverse pathways in thyroid carcinogenesis and informing precision medicine strategies.

Publisher

Springer Science and Business Media LLC

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