Targeting liver cancer stem cells: the prognostic significance of MRPL17 in immunotherapy response DOI Creative Commons

Jingjing Shao,

Tianye Zhao, Ji‐Bin Liu

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 17, 2024

Liver hepatocellular carcinoma (LIHC) ranks as the foremost cause of cancer-related deaths worldwide, and its early detection poses considerable challenges. Current prognostic indicators, including alpha-fetoprotein, have notable limitations in their clinical utility, thereby underscoring necessity for discovering new biomarkers to improve diagnosis enable personalized treatment options.

Language: Английский

Integrating single cell analysis and machine learning methods reveals stem cell-related gene S100A10 as an important target for prediction of liver cancer diagnosis and immunotherapy DOI Creative Commons

Shenjun Huang,

Tingting Tu

Frontiers in Immunology, Journal Year: 2025, Volume and Issue: 15

Published: Jan. 7, 2025

Hepatocellular carcinoma (LIHC) poses a significant health challenge worldwide, primarily due to late-stage diagnosis and the limited effectiveness of current therapies. Cancer stem cells are known play role in tumor development, metastasis, resistance treatment. A thorough understanding genes associated with is crucial for improving diagnostic precision LIHC advancement effective immunotherapy approaches. This research combines single-cell RNA sequencing machine learning techniques identify vital cell-associated that could act as prognostic biomarkers therapeutic targets LIHC. We analyzed various datasets, applying negative matrix factorization alongside algorithms reveal gene expression patterns construct models. The XGBoost algorithm was specifically utilized key regulatory related LIHC, levels significance these were validated experimentally. Our analysis identified 16 differential liver cancer cells. Cluster models constructed using confirmed Notably, S100A10 cell-related most relevant prognosis patients. Experimental validation further supports potential marker this type. Additionally, shows positive correlation cell POU5F1. results study highlight an essential predictor treatment response, particularly regarding immunotherapy. offers valuable insights into molecular mechanisms underlying suggests promising target enhancing outcomes

Language: Английский

Citations

1

Mechanistic link between long noncoding RNA and stability of oncogene reveals stemness and chemoresistance of hepatocellular carcinoma DOI

Yu-Bo Liang,

Xingming Chen,

Wan-Ling Luo

et al.

World Journal of Gastroenterology, Journal Year: 2025, Volume and Issue: 31(7)

Published: Jan. 18, 2025

This letter comments on the recently published manuscript by Yu et al, in which authors revealed a novel mechanism m6A-modified long noncoding RNA kinesin family member 9-antisense 1 promotes stemness and sorafenib resistance of hepatocellular carcinoma (HCC) through ubiquitin-specific peptidase 1-mediated deubiquitination oncogene short stature homeobox 2. Given high mortality rate poor prognosis HCC, findings al open new avenue for overcoming HCC burden focusing 2 as prognostic markers therapeutic targets.

Language: Английский

Citations

0

Targeting liver cancer stem cells: the prognostic significance of MRPL17 in immunotherapy response DOI Creative Commons

Jingjing Shao,

Tianye Zhao, Ji‐Bin Liu

et al.

Frontiers in Immunology, Journal Year: 2024, Volume and Issue: 15

Published: Dec. 17, 2024

Liver hepatocellular carcinoma (LIHC) ranks as the foremost cause of cancer-related deaths worldwide, and its early detection poses considerable challenges. Current prognostic indicators, including alpha-fetoprotein, have notable limitations in their clinical utility, thereby underscoring necessity for discovering new biomarkers to improve diagnosis enable personalized treatment options.

Language: Английский

Citations

1