A TRP Family Based Signature for Prognosis Prediction in Head and Neck Squamous Cell Carcinoma

Pan, Fangfang; Wang, Kai; Zheng, Mengmeng; Ren, Yuan; Hao, Wenjuan; Yan, Jiangyu

doi:10.1155/2022/8757656

Cited by 6 publications

(5 citation statements)

References 63 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Unlike many other gene families, TRP family members have been largely overlooked in oncological studies despite their strong associations with the onset and progression of other disease types[ 22 - 24 ]. Here, TRP family gene expression profiles were analyzed for the first time in HCC, underscoring potentially important roles for these genes as mediators of oncogenesis.…”

Section: Discussionmentioning

confidence: 99%

Transient receptor potential-related risk model predicts prognosis of hepatocellular carcinoma patients

Mei,

Chen,

Zuo

2023

World J Gastrointest Oncol

View full text Add to dashboard Cite

BACKGROUND Members of the transient receptor potential (TRP) protein family shape oncogenic development, but the specific relevance of TRP-related genes in hepatocellular carcinoma (HCC) has yet to be defined. AIM To investigate the role of TRP genes in HCC, their association with HCC development and treatment was examined. METHODS HCC patient gene expression and clinical data were downloaded from The Cancer Genome Atlas database, and univariate and least absolute shrinkage and selection operator Cox regression models were employed to explore the TRP-related risk spectrum. Based on these analyses, clinically relevant TRP family genes were selected, and the association between the key TRP canonical type 1 (TRPC1) gene and HCC patient prognosis was evaluated. RESULTS In total, 28 TRP family genes were screened for clinical relevance, with multivariate analyses ultimately revealing three of these genes (TRPC1, TRP cation channel subfamily M member 2, and TRP cation channel subfamily M member 6) to be significantly associated with HCC patient prognosis (P < 0.05). These genes were utilized to establish a TRP-related risk model. Patients were separated into low- and high-risk groups based on the expression of these genes, and high-risk patients exhibited a significantly poorer prognosis (P = 0.001). Functional analyses highlighted pronounced differences in the immune status of patients in these two groups and associated enriched immune pathways. TRPC1 was identified as a candidate gene in this family worthy of further study, with HCC patients expressing higher TRPC1 levels exhibiting poorer survival outcomes. Consistently, quantitative, immunohistochemistry, and western blot analyses revealed increased TRPC1 expression in HCC. CONCLUSION These three TRP genes help determine HCC patient prognosis, providing insight into tumor immune status and immunological composition. These findings will help design combination therapies including immunotherapeutic and anti-TRP agents.

show abstract

Section: Discussionmentioning

confidence: 99%

Transient receptor potential-related risk model predicts prognosis of hepatocellular carcinoma patients

Mei,

Chen,

Zuo

2023

World J Gastrointest Oncol

View full text Add to dashboard Cite

show abstract

“…On the other hand, the TRPM8 antagonist RQ-00203078 suppressed this activity, which suggested that stimulation of TRPM8 positively regulates MMP-9 [ 70 ]. Recent bioinformatical analysis of the HNSCC dataset from The Cancer Genome Atlas (TCGA-HNSC) indicated TRPM8 as one of the risk factors in HNSCC evolvement [ 71 ], but its main role in this type of tumorigenesis is still unknown.…”

Section: Androgen Receptors As a Potential Culprit Of Sex-related Dis...mentioning

confidence: 99%

‘Toxic Masculinity’: What Is Known about the Role of Androgen Receptors in Head and Neck Squamous Cell Carcinoma

Čonkaš

Sabol

Ozretić

2023

IJMS

View full text Add to dashboard Cite

Head and neck squamous cell carcinoma (HNSCC), the most prevalent cancer in the head and neck region, develops from the mucosal epithelium of the upper aerodigestive tract. Its development directly correlates with alcohol and/or tobacco consumption and infection with human papillomavirus. Interestingly, the relative risk for HNSCC is up to five times higher in males, so it is considered that the endocrine microenvironment is another risk factor. A gender-specific risk for HNSCC suggests either the existence of specific risk factors that affect only males or that females have defensive hormonal and metabolic features. In this review, we summarized the current knowledge about the role of both nuclear and membrane androgen receptors (nAR and mARs, respectively) in HNSCC. As expected, the significance of nAR is much better known; it was shown that increased nAR expression was observed in HNSCC, while treatment with dihydrotestosterone increased proliferation, migration, and invasion of HNSCC cells. For only three out of five currently known mARs—TRPM8, CaV1.2, and OXER1—it was shown either their increased expression in various types of HNSCC or that their increased activity enhanced the migration and invasion of HNSCC cells. The primary treatments for HNSCC are surgery and radiotherapy, but targeted immunotherapies are on the rise. On the other hand, given the evidence of elevated nAR expression in HNSCC, this receptor represents a potential target for antiandrogen therapy. Moreover, there is still plenty of room for further examination of mARs’ role in HNSCC diagnosis, prognosis, and treatment.

show abstract

“…Data on the 28 TRP channel genes used in this study are provided in a relevant published article. [22] We compared expression levels between HCC and non-tumorous samples and used Pearson correlation analysis to assess potential associations. We identified the corresponding HCC subtypes based on TRP channel-related genes with significant differences in expression, which were subjected to unsupervised hierarchical clustering using R 3.6.1 ConsensusClusterPlus Version 1.54.0 (http://www.bioconductor.org/packages/release/bioc/ html/ConsensusClusterPlus.html).…”

Section: Subtype Identification Based On Trp Channel Genesmentioning

confidence: 99%

Identification of molecular subtypes and prognostic signatures based on transient receptor potential channel-related genes to predict the prognostic risk of hepatocellular carcinoma: A review

Wu¹,

Cai²,

Liu³

et al. 2023

Medicine

View full text Add to dashboard Cite

Abnormal transient receptor potential (TRP) channel function interferes with intracellular calcium-based signaling and causes malignant phenotypes. However, the effects of TRP channel-related genes on hepatocellular carcinoma (HCC) remain unclear. This study aimed to identify HCC molecular subtypes and prognostic signatures based on TRP channel-related genes to predict prognostic risks. Unsupervised hierarchical clustering was applied to identify HCC molecular subtypes using the expression data of TRP channel-related genes. This was followed by a comparison of the clinical and immune microenvironment characteristics between the resulting subtypes. After screening for differentially expressed genes among subtypes, prognostic signatures were identified to construct risk score-based prognostic and nomogram models and predict HCC survival. Finally, tumor drug sensitivities were predicted and compared between the risk groups. Sixteen TRP channel-related genes that were differentially expressed between HCC and non-tumorous tissues were used to identify 2 subtypes. Cluster 1 had higher TRP scores, better survival status, and lower levels of clinical malignancy. Immune-related analyses also revealed higher infiltration of M1 macrophages and higher immune and stromal scores in Cluster 1 than in Cluster 2. After screening differentially expressed genes between subtypes, 6 prognostic signatures were identified to construct prognostic and nomogram models. The potential of these models to assess the prognostic risk of HCC was further validated. Furthermore, Cluster 1 was more distributed in the low-risk group, with higher drug sensitivities. Two HCC subtypes were identified, of which Cluster 1 was associated with a favorable prognosis. Prognostic signatures related to TRP channel genes and molecular subtypes can be used to predict HCC risk.Abbreviations: AUCs = area under the curve, DEGs = differentially expressed genes, HCC = hepatocellular carcinoma, HRP = high-risk prognosis, IC50 = 50% inhibitory concentration, KM = Kaplan-Meier, LRP = low-risk prognosis, MMP = matrix metalloproteinase, TCGA = The Cancer Genome Atlas, TRP = transient receptor potential.

show abstract

A TRP Family Based Signature for Prognosis Prediction in Head and Neck Squamous Cell Carcinoma

Cited by 6 publications

References 63 publications

Transient receptor potential-related risk model predicts prognosis of hepatocellular carcinoma patients

Transient receptor potential-related risk model predicts prognosis of hepatocellular carcinoma patients

‘Toxic Masculinity’: What Is Known about the Role of Androgen Receptors in Head and Neck Squamous Cell Carcinoma

Identification of molecular subtypes and prognostic signatures based on transient receptor potential channel-related genes to predict the prognostic risk of hepatocellular carcinoma: A review

Contact Info

Product

Resources

About