Identification of Hydroxysteroid Dehydrogenase Type 1 As a Potential Bladder Tumor Marker.


Journal

Iranian biomedical journal
ISSN: 2008-823X
Titre abrégé: Iran Biomed J
Pays: Iran
ID NLM: 9814853

Informations de publication

Date de publication:
01 03 2024
Historique:
aheadofprint: 29 01 2024
medline: 8 6 2024
pubmed: 8 6 2024
entrez: 8 6 2024
Statut: epublish

Résumé

The HSD17B family has been implicated in the prognosis and treatment prediction of various malignancies; however, its association with BLCA remains unclear. This study aimed to evaluate the potential of HSD17B1, as a prognostic biomarker, for the survival of patients with BLCA and to determine its effectiveness as a supplemental biomarker for BLCA. A series of bioinformatics techniques were applied to investigate the expression of HSD17B1 in different types of cancer and its potential association with the prognosis of BLCA patients using diverse databases. The UALCAN, Human Protein Atlas, cBioPortal, Metascape, GEPIA, MethSurv, and TIMER were employed to analyze expression differences, mutation status, enrichment analysis, overall survival, methylation, and immune-infiltrating cells. The qRT-PCR was implemented to detect the mRNA expression levels of HSD17B1 in vitro. Elevated mRNA and protein levels of HSD17B1, surpassing normal levels, were observed in BLCA samples. In addition, the BLCA patients with higher mRNA expression level of HSD17B1 significantly reduced the OS. Also, several immune infiltrating cells, including mast cell resting CIBERSORT-ABS, have been identified as tumor-associated biomarker genes, with the potential to significantly influence the immunological environment. Finally, qRT-PCR analysis revealed a significant upregulation of HSD17B1 mRNA expression level in the cancer cells compared to the human 293T cells, which was consistent with the bioinformatic data. There is a strong correlation between the elevated HSD17B1 expression and positive prognosis in patients with BLCA. Therefore, HSD17B1 can be used as a prognostic biomarker in these patients.

Sections du résumé

Background
The HSD17B family has been implicated in the prognosis and treatment prediction of various malignancies; however, its association with BLCA remains unclear. This study aimed to evaluate the potential of HSD17B1, as a prognostic biomarker, for the survival of patients with BLCA and to determine its effectiveness as a supplemental biomarker for BLCA.
Methods
A series of bioinformatics techniques were applied to investigate the expression of HSD17B1 in different types of cancer and its potential association with the prognosis of BLCA patients using diverse databases. The UALCAN, Human Protein Atlas, cBioPortal, Metascape, GEPIA, MethSurv, and TIMER were employed to analyze expression differences, mutation status, enrichment analysis, overall survival, methylation, and immune-infiltrating cells. The qRT-PCR was implemented to detect the mRNA expression levels of HSD17B1 in vitro.
Results
Elevated mRNA and protein levels of HSD17B1, surpassing normal levels, were observed in BLCA samples. In addition, the BLCA patients with higher mRNA expression level of HSD17B1 significantly reduced the OS. Also, several immune infiltrating cells, including mast cell resting CIBERSORT-ABS, have been identified as tumor-associated biomarker genes, with the potential to significantly influence the immunological environment. Finally, qRT-PCR analysis revealed a significant upregulation of HSD17B1 mRNA expression level in the cancer cells compared to the human 293T cells, which was consistent with the bioinformatic data.
Conclusion
There is a strong correlation between the elevated HSD17B1 expression and positive prognosis in patients with BLCA. Therefore, HSD17B1 can be used as a prognostic biomarker in these patients.

Identifiants

pubmed: 38850011
doi: 10.61186/ibj.4068
doi:

Substances chimiques

Biomarkers, Tumor 0
HSD17B1 protein, human EC 1.1.1.62
Estradiol Dehydrogenases EC 1.1.1.62
RNA, Messenger 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

120-31

Auteurs

Aida Albadawy (A)

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.

Mohammed Alqudaimi (M)

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.

Hanyue Cui (H)

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.

Yan Xianghui (Y)

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.

Jing Sun (J)

Qinghai Key Laboratory of Qinghai-Tibet Plateau Biological Resources, Northwest Institute of Plateau Biology, The Chinese Academy of Sciences, Xining 810001, China.

Ping Shi (P)

State Key Laboratory of Bioreactor Engineering, East China University of Science and Technology, Shanghai 200237, China.

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Classifications MeSH