Application of Mendelian randomization and bioinformatic analysis to construct a prognostic model for thyroid cancer and perform pan-cancer analysis

This study identified ALOX15B, TIAM1, and TMC6 as potential risk genes and JUN, PAPSS2, and RAP1GAP as protective genes in THCA. These genes may serve as promising biomarkers and therapeutic targets for THCA, offering novel insights into precision oncology.

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Publication Details

Journal
Discover Oncology
Published
2025-07-24
DOI
https://doi.org/10.1007/s12672-025-03222-7
Primary Topic
Thyroid Cancer Diagnosis and Treatment
Type
article
Field-Weighted Citation Impact
0.00

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article

Application of Mendelian randomization and bioinformatic analysis to construct a prognostic model for thyroid cancer and perform pan-cancer analysis

Ke Zheng, Sunjie Yan, Jiebin Lin, Zhiyan Weng et al.
1 links
Discover Oncology
Thyroid Cancer Diagnosis and Treatment
article

Application of Mendelian randomization and bioinformatic analysis to construct a prognostic model for thyroid cancer and perform pan-cancer analysis

Ke Zheng, Sunjie Yan, Jiebin Lin, Zhiyan Weng, Zhenrun Zhan, Ximei Shen
article en

Abstract

This study identified ALOX15B, TIAM1, and TMC6 as potential risk genes and JUN, PAPSS2, and RAP1GAP as protective genes in THCA. These genes may serve as promising biomarkers and therapeutic targets for THCA, offering novel insights into precision oncology.

Discover OncologyVol. 16(1)
Fujian Medical University (CN), First Affiliated Hospital of Fujian Medical University (CN)
National Natural Science Foundation of China, Fujian Provincial Health Commission
Good health and well-being
Openalex Percentile: Top 74%
Thyroid Cancer Diagnosis and Treatment
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Application of Mendelian randomization and bioinformatic analysis to construct a prognostic model for thyroid cancer and perform pan-cancer analysis — Ke Zheng, Sunjie Yan, et al. · Discover Oncology (2025) | TGRS Research Map | TGRS