Open Access Journal Article

Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model

by Kun Mei a,1 ,  Zilu Chen b,1 ,  Le Huang c ,  Joyce Wang d  and  Yong Wei e,*
a
Department of Cardiothoracic Surgery, The Third Affiliated Hospital of Soochow University, Changzhou 213003, China
b
Nanjing University of Chinese Medicine, Nanjing 210023, China
c
Department of Medicine, MetroWest Medical Center/Tufts University School of Medicine, Framingham, MA, USA
d
Department of Medicine, Division of Medical Oncology, Kansas University Medical Center, GI Oncology Working Group, Kansas City, KS, USA
e
Department of Urology, the Second Affiliated Hospital of Nanjing Medical University, Nanjing, China
*
Author to whom correspondence should be addressed.
CI  2024, 34; 3(2), 34; https://doi.org/10.58567/ci03020002
Received: 19 November 2023 / Accepted: 2 January 2024 / Published Online: 4 January 2024
View Full-Text
Download PDF

Abstract

Background: Bladder cancer (BLCA), particularly invasive BLCA, has become a medical burden worldwide as it is associated with recurrence and easy metastasis. There are specific differences in the expression of various miRNAs in tumor and normal tissues. Hence, miRNAs can be used as biomarkers for tumor diagnosis and prognostic evaluation. The current study aimed to predict the downstream target genes of BLCA-related miRNAs and explore their association with immune infiltration. Method: Data on BLCA-related mRNA and miRNA expression levels were downloaded from The Cancer Genome Atlas. Correlation analysis and Cox regression analysis were performed to validate the miRNA risk model. The infiltration of various immune cells should be compared to determine the distinct differences between the immunological microenvironment of the two risk groups. Results: A predictive framework of BLCA was established using the expression levels of two miRNAs. Cox regression analysis showed that the low-risk group had a better prognosis. Then, the target genes of miRNA were predicted, and the target genes were analyzed using Gene Ontology and Kyoto Encyclopedia of Genes and Genomes. Moreover, variations in immune cells and functions between the high- and low-risk groups were assessed. Conclusion: The prognostic features composed of two associated miRNAs (MIR-25, MIR-548AN) may help predict the overall survival of BLCA.

Keywords: Bladder cancer; biomarker; miRNA; prognosis; GEO;
Copyright: © 2024 by Mei, Chen, Huang, Wang and Wei. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Mei, K.; Chen, Z.; Huang, L.; Wang, J.; Wei, Y. Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model. Cancer Insight, 2024, 3, 34. https://doi.org/10.58567/ci03020002
AMA Style
Mei K, Chen Z, Huang L, Wang J, Wei Y. Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model. Cancer Insight; 2024, 3(2):34. https://doi.org/10.58567/ci03020002
Chicago/Turabian Style
Mei, Kun; Chen, Zilu; Huang, Le; Wang, Joyce; Wei, Yong 2024. "Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model" Cancer Insight 3, no.2:34. https://doi.org/10.58567/ci03020002
APA style
Mei, K., Chen, Z., Huang, L., Wang, J., & Wei, Y. (2024). Correlation between the immune microenvironment and bladder cancer based on a prognostic miRNA risk model. Cancer Insight, 3(2), 34. https://doi.org/10.58567/ci03020002

Article Metrics

Article Access Statistics

References

  1. Patel, V.G., W.K. Oh, and M.D. Galsky, Treatment of muscle-invasive and advanced bladder cancer in 2020. CA Cancer J Clin, 2020. 70(5): p. 404-423. https://doi.org/10.3322/caac.21631
  2. Lenis, A.T., et al., Bladder Cancer: A Review. Jama, 2020. 324(19): p. 1980-1991. https://doi.org/10.1001/jama.2020.17598
  3. Laaksonen, M.A., et al., The future burden of kidney and bladder cancers preventable by behavior modification in Australia: A pooled cohort study. Int J Cancer, 2020. 146(3): p. 874-883. https://doi.org/10.1002/ijc.32420
  4. Richters, A., K.K.H. Aben, and L. Kiemeney, The global burden of urinary bladder cancer: an update. World J Urol, 2020. 38(8): p. 1895-1904. https://doi.org/10.1007/s00345-019-02984-4
  5. Nik Mohamed Kamal, N. and W.N.S. Shahidan, Non-Exosomal and Exosomal Circulatory MicroRNAs: Which Are More Valid as Biomarkers? Front Pharmacol, 2019. 10: p. 1500. https://doi.org/10.3389/fphar.2019.01500
  6. Toor, S.M., et al., Identification of distinct circulating microRNAs in acute ischemic stroke patients with type 2 diabetes mellitus. Front Cardiovasc Med, 2022. 9: p. 1024790. https://doi.org/10.3389/fcvm.2022.1024790
  7. Tan, Z., et al., Dysregulation and prometastatic function of glycosyltransferase C1GALT1 modulated by cHP1BP3/ miR-1-3p axis in bladder cancer. J Exp Clin Cancer Res, 2022. 41(1): p. 228. https://doi.org/10.1186/s13046-022-02438-7
  8. Tong, L., et al., MicroRNA-365 inhibits the progression of lung adenocarcinoma through targeting ETS1 and inactivating AKT/mTOR pathway. Eur Rev Med Pharmacol Sci, 2020. 24(9): p. 4836-4845. https://doi.org/10.26355/eurrev_202005_21172
  9. Soheilifar, M.H., et al., miR-1290 contributes to oncogenesis and angiogenesis via targeting of THBS1, DKK3 and, SCAI. Bioimpacts, 2022. 12(4): p. 349-358. https://doi.org/10.34172/bi.2021.23571
  10. Xu, G., J. Li, and L. Yu, miR-19a-3p Promotes Tumor-Relevant Behaviors in Bladder Urothelial Carcinoma via Targeting THBS1. Comput Math Methods Med, 2021. 2021: p. 2710231. https://doi.org/10.1155/2021/2710231
  11. Yang, B., et al., Identification of Key Biomarkers and Potential Molecular Mechanisms in Oral Squamous Cell Carcinoma by Bioinformatics Analysis. J Comput Biol, 2020. 27(1): p. 40-54. https://doi.org/10.1089/cmb.2019.0211
  12. Qin, X. and B. Chen, Comprehensive analysis and validation reveal potential MYCN regulatory biomarkers associated with neuroblastoma prognosis. J Biomol Struct Dyn, 2022: p. 1-16.
  13. Khan, R., et al., Analysis of Rare Alleles of miRNA-146a (rs2910164) and miRNA-34b/c (rs4938723) as a Prognostic Marker in Thyroid Cancer in Pakistani Population. Diagnostics (Basel), 2022. 12(10). https://doi.org/10.3390/diagnostics12102495
  14. Hashemi, M., et al., Crosstalk of miRNAs with signaling networks in bladder cancer progression: Therapeutic, diagnostic and prognostic functions. Pharmacol Res, 2022. 185: p. 106475. https://doi.org/10.1016/j.phrs.2022.106475
  15. Suresh Babu, V., et al., Enhanced Epithelial-to-Mesenchymal Transition and Chemoresistance in Advanced Retinoblastoma Tumors Is Driven by miR-181a. Cancers (Basel), 2022. 14(20). https://doi.org/10.3390/cancers14205124
  16. Andreucci, E., et al., miR-214-Enriched Extracellular Vesicles Released by Acid-Adapted Melanoma Cells Promote Inflammatory Macrophage-Dependent Tumor Trans-Endothelial Migration. Cancers (Basel), 2022. 14(20). https://doi.org/10.3390/cancers14205090
  17. Wang, H., Predicting MicroRNA Biomarkers for Cancer Using Phylogenetic Tree and Microarray Analysis. Int J Mol Sci, 2016. 17(5). https://doi.org/10.3390/ijms17050773
  18. Wang, J., et al., MicroRNA-25-5p negatively regulates TXNIP expression and relieves inflammatory responses of brain induced by lipopolysaccharide. Sci Rep, 2022. 12(1): p. 17915. https://doi.org/10.3390/cancers14205124
  19. Yoshikawa, Y., et al., Identification of the Minimum Combination of Serum microRNAs to Predict the Recurrence of Colorectal Cancer Cases. Ann Surg Oncol, 2022. https://doi.org/10.1245/s10434-022-12355-w
  20. Ning, J.Z., et al., MiR-25 regulates cell proliferation and metastasis in bladder urothelial carcinoma. J Cancer, 2021. 12(22): p. 6706-6714. https://doi.org/10.7150/jca.62743
  21. Zhu, S., et al., MiR-548an, Transcriptionally Downregulated by HIF1α/HDAC1, Suppresses Tumorigenesis of Pancreatic Cancer by Targeting Vimentin Expression. Mol Cancer Ther, 2016. 15(9): p. 2209-19. https://doi.org/10.1158/1535-7163.MCT-15-0877
  22. Gao, L., et al., Values of OAS gene family in the expression signature, immune cell infiltration and prognosis of human bladder cancer. BMC Cancer, 2022. 22(1): p. 1016. https://doi.org/10.1186/s12885-022-10102-8