Abstract
The study titled “Transient receptor potential-related risk model predicts prognosis of hepatocellular carcinoma patients” is a significant contribution to hepatocellular carcinoma (HCC) research, highlighting the role of transient receptor potential (TRP) family genes in the disease’s progression and prognosis. Utilizing data from The Cancer Genome Atlas database, it establishes a new risk assessment model, emphasizing the interaction of TRP genes with tumor proliferation pathways, key metabolic reactions like retinol metabolism, and the tumor immune microenvironment. Notably, the overexpression of the TRPC1 gene in HCC correlates with poorer patient survival outcomes, suggesting its potential as a prognostic biomarker and a target for personalized therapy, particularly in strategies combining immunotherapy and anti-TRP agents.
Keywords: Hepatocellular carcinoma, Transient receptor potential channels, TRPC1 gene, Tumor immune microenvironment, Cancer prognosis, Bioinformatics in cancer research
Core Tip: This pivotal study unveils a novel risk assessment model based on transient receptor potential (TRP) family genes, offering significant advancements in the prognostication and personalized treatment of hepatocellular carcinoma (HCC). It highlights the crucial role of TRPC1 gene expression as a prognostic marker linked to patient survival and disease progression, potentially reshaping HCC therapeutic strategies. The findings underscore the importance of TRP genes in cancer biology, particularly their integration with tumor immune responses, paving the way for innovative treatments that combine immunotherapy with targeted TRP gene inhibition.
TO THE EDITOR
The study titled “Transient receptor potential-related risk model predicts prognosis of hepatocellular carcinoma patients” marks a significant contribution to the field of hepatocellular carcinoma (HCC) research[1]. Focusing on the role of transient receptor potential (TRP) family genes in HCC, it addresses a gap in this area of study. The research introduces a new risk assessment model that not only explores the role of these genes in the prognosis of HCC patients but also emphasizes their interaction with the tumor immune microenvironment, crucial for the early diagnosis and treatment of HCC.
Data from the well-recognized The Cancer Genome Atlas database were used, ensuring the reliability of the study’s findings. The application of rigorous statistical methods and bioinformatics tools further enhances the accuracy and validity of the results. By identifying TRP genes significantly associated with the prognosis of HCC, the study offers new biomarkers for clinicians, aiding in personalized treatment of the disease.
Notably, the expression of the TRPC1 gene in HCC is closely linked to reduced overall survival and shorter life expectancy in patients. TRPC1 may promote the onset of liver cancer by modulating tumor proliferation signaling pathways and key metabolic reactions, such as retinol metabolism. Additionally, TRPC1 might further advance liver cancer development by affecting the expression of genes like ABI2, MAPRE1, YEATS2, MTA3, TMEM237, MTMR2, CCDC6, AC069544.2, and NCBP2[2].
The role of TRP family genes in various cancers, particularly their functions in cell signaling, survival, and apoptosis, is garnering increasing attention[3,4]. In liver cancer research, the expression of TRP genes is closely related to disease progression and prognosis. Although this study is limited by its retrospective nature using database data, future research could further validate these findings through prospective clinical trials and explore more genes and molecular mechanisms related to HCC.
In summary, this research not only enhances our understanding of HCC but may also facilitate the development of new treatment, especially in the combination of immunotherapy and anti-TRP drugs. The association of TRP genes with the tumor immune microenvironment paves the way for future research and may aid in developing novel therapeutic strategies against these molecular targets.
Footnotes
Conflict-of-interest statement: All the authors report no relevant conflicts of interest for this article.
Provenance and peer review: Unsolicited article; Externally peer reviewed.
Peer-review model: Single blind
Specialty type: Oncology
Country of origin: China
Peer-review report’s classification
Scientific Quality: Grade C
Novelty: Grade B
Creativity or Innovation: Grade B
Scientific Significance: Grade B
P-Reviewer: Tchilikidi KY, Russia S-Editor: Wang JJ L-Editor: A P-Editor: Guo X
Contributor Information
Shi-Hao Guan, Department of Plastic Surgery, Qingpu Branch of Zhongshan Hospital Affiliated to Fudan University, Shanghai 201700, China.
Wen-Jing Hu, Department of Nursing, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Xin-Yu Wang, Department of Thyroid, Breast and Vascular Surgery, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
Yue-Xia Gu, Department of Nursing, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China.
De-Hua Zhou, Department of Gastrointestinal Surgery, Shanghai Fourth People’s Hospital Affiliated to Tongji University School of Medicine, Shanghai 200434, China. deachzdh@163.com.
References
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