Prognostic significance of GPR132 in papillary thyroid carcinoma: insights from integrated machine learning and its role in regulating TPC-1 cell growth
Jinghua Gao, Zihan Cai, Shoupeng Ding, Lanxin Ma, Jian Han, Yi-Yi Luo, Xueli Yang, Liqin Zhou, Wen Mei, Xiangfang Li, Lin Meng, Heng Luo

TL;DR
This study identifies GPR132 as a potential prognostic marker and tumor suppressor in papillary thyroid carcinoma through machine learning and cell experiments.
Contribution
The study introduces GPR132 as a novel prognostic gene for papillary thyroid carcinoma and demonstrates its tumor-suppressive role in cell cycle and apoptosis.
Findings
GPR132 overexpression inhibits TPC-1 cell proliferation and migration.
GPR132 induces G1 phase cell cycle arrest and enhances apoptosis in thyroid cancer cells.
GPR132 is linked to M1-like macrophage gene modules associated with better PTC prognosis.
Abstract
This study utilizes machine learning and bioinformatics methods to analyze data identifying GPR132 as a reliable potential prognostic gene for papillary thyroid carcinoma (PTC).The experiments elucidated potential role of GPR132 in inhibiting tumor growth in PTC by regulating the cell cycle and apoptotic mechanisms. This research provides significant insights for future personalized therapeutic strategies aimed at targeting PTC. The study analyzed the GSE191288 RNA-seq dataset, which included six thyroid cancer tumor samples and one adjacent normal tissue sample, to identify genes associated with tumor-associated macrophages (TAMs). After conducting a thorough enrichment analysis, we used the CellChat tool to investigate the signaling pathways.Pseudotemporal analysis elucidated the differentiation status of TAMs, and weighted gene co-expression network analysis(WGCNA) identified…
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Taxonomy
TopicsFerroptosis and cancer prognosis · Cancer, Lipids, and Metabolism · Thyroid Cancer Diagnosis and Treatment
