Skip to main content
Top
Published in: Journal of Translational Medicine 1/2019

Open Access 01-12-2019 | Kidney Cancer | Research

Prognostic implications of Aquaporin 9 expression in clear cell renal cell carcinoma

Authors: Wen-Hao Xu, Shen-Nan Shi, Yue Xu, Jun Wang, Hong-Kai Wang, Da-Long Cao, Guo-Hai Shi, Yuan-Yuan Qu, Hai-Liang Zhang, Ding-Wei Ye

Published in: Journal of Translational Medicine | Issue 1/2019

Login to get access

Abstract

Background

Growing evidence has demonstrated immune reactivity as a confirmed important carcinogenesis and therapy efficacy for clear cell renal cell carcinoma (ccRCC). Aquaporin 9 (AQP9) is involved in many immune-related signals; however, its role in ccRCC remains to be elucidated. This study investigated AQP9 expression in tumor tissues and defined the prognostic value in ccRCC patients.

Methods

A total of 913 ccRCC patients with available RNA-sequence data from the Cancer Genome Atlas (TCGA) database and Fudan University Shanghai Cancer Center (FUSCC) were consecutively recruited in analyses. Differential transcriptional and proteome expression profiles were obtained and validated using multiple datasets. A partial likelihood test from Cox regression analysis was developed to address the influence of independent factors on progression-free survival (PFS) and overall survival (OS). The Kaplan–Meier method and log-rank test were performed to assess survival. Receiver operating characteristic (ROC) curves were used to describe binary classifier value of AQP9 using area under the curve (AUC) score. Functional enrichment analyses and immune infiltration analysis were used to describe significantly involved hallmark pathways of hub genes.

Results

Significantly elevated transcriptional and proteomic AQP9 expressions were found in ccRCC samples. Increased AQP9 mRNA expression was significantly associated with advanced clinicopathological parameters and correlated with shorter PFS and OS in TCGA and FUSCC cohorts (p < 0.001). ROC curves suggested the significant diagnostic and prognostic ability of AQP9 (PFS, AUC = 0.823; OS, AUC = 0.828). Functional annotations indicated that AQP9 is involved in the most significant hallmarks including complement, coagulation, IL6/JAK–STAT3, inflammatory response and TNF-alpha signaling pathways.

Conclusion

Our study revealed that elevated AQP9 expression was significantly correlated with aggressive progression, poor survival and immune infiltrations in ccRCC patients, and we validated its prognostic value in a real-world cohort. These data suggest that AQP9 may act as an oncogene and a promising prognostic marker in ccRCC.
Appendix
Available only for authorised users
Literature
1.
3.
go back to reference Baldewijns MM, et al. Genetics and epigenetics of renal cell cancer. Biochim Biophys Acta. 2008;1785(2):133–55.PubMed Baldewijns MM, et al. Genetics and epigenetics of renal cell cancer. Biochim Biophys Acta. 2008;1785(2):133–55.PubMed
4.
5.
go back to reference Xu WH, et al. Procollagen-lysine, 2-oxoglutarate 5-dioxygenases 1, 2, and 3 are potential prognostic indicators in patients with clear cell renal cell carcinoma. Aging (Albany NY). 2019;11(16):6503–21. Xu WH, et al. Procollagen-lysine, 2-oxoglutarate 5-dioxygenases 1, 2, and 3 are potential prognostic indicators in patients with clear cell renal cell carcinoma. Aging (Albany NY). 2019;11(16):6503–21.
6.
go back to reference Xu WH, et al. Prognostic value and immune infiltration of novel signatures in clear cell renal cell carcinoma microenvironment. Aging (Albany NY). 2019;11(17):6999. Xu WH, et al. Prognostic value and immune infiltration of novel signatures in clear cell renal cell carcinoma microenvironment. Aging (Albany NY). 2019;11(17):6999.
7.
go back to reference Agre P, et al. Aquaporin CHIP: the archetypal molecular water channel. Am J Physiol. 1993;265(4 Pt 2):F463–76.PubMed Agre P, et al. Aquaporin CHIP: the archetypal molecular water channel. Am J Physiol. 1993;265(4 Pt 2):F463–76.PubMed
8.
9.
go back to reference Verkman AS, Mitra AK. Structure and function of aquaporin water channels. Am J Physiol Renal Physiol. 2000;278(1):F13–28.PubMedCrossRef Verkman AS, Mitra AK. Structure and function of aquaporin water channels. Am J Physiol Renal Physiol. 2000;278(1):F13–28.PubMedCrossRef
12.
go back to reference Shi YH, et al. Significance and expression of aquaporin 1, 3, 8 in cervical carcinoma in Xinjiang Uygur women of China. Asian Pac J Cancer Prev. 2012;13(5):1971–5.PubMedCrossRef Shi YH, et al. Significance and expression of aquaporin 1, 3, 8 in cervical carcinoma in Xinjiang Uygur women of China. Asian Pac J Cancer Prev. 2012;13(5):1971–5.PubMedCrossRef
13.
go back to reference Morrissey JJ, et al. Evaluation of urine Aquaporin-1 and Perilipin-2 concentrations as biomarkers to screen for renal cell carcinoma: a prospective cohort study. JAMA Oncol. 2015;1(2):204–12.PubMedPubMedCentralCrossRef Morrissey JJ, et al. Evaluation of urine Aquaporin-1 and Perilipin-2 concentrations as biomarkers to screen for renal cell carcinoma: a prospective cohort study. JAMA Oncol. 2015;1(2):204–12.PubMedPubMedCentralCrossRef
14.
go back to reference Chen J, et al. Aquaporin 3 promotes prostate cancer cell motility and invasion via extracellular signal-regulated kinase 1/2-mediated matrix metalloproteinase-3 secretion. Mol Med Rep. 2015;11(4):2882–8.PubMedCrossRef Chen J, et al. Aquaporin 3 promotes prostate cancer cell motility and invasion via extracellular signal-regulated kinase 1/2-mediated matrix metalloproteinase-3 secretion. Mol Med Rep. 2015;11(4):2882–8.PubMedCrossRef
16.
go back to reference Lv Y, et al. AQP9 promotes astrocytoma cell invasion and motility via the AKT pathway. Oncol Lett. 2018;16(5):6059–64.PubMedPubMedCentral Lv Y, et al. AQP9 promotes astrocytoma cell invasion and motility via the AKT pathway. Oncol Lett. 2018;16(5):6059–64.PubMedPubMedCentral
17.
go back to reference Tomczak K, Czerwinska P, Wiznerowicz M. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge. Contemp Oncol (Pozn). 2015;19(1A):A68–77. Tomczak K, Czerwinska P, Wiznerowicz M. The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge. Contemp Oncol (Pozn). 2015;19(1A):A68–77.
19.
go back to reference Asplund A, et al. Antibodies for profiling the human proteome-The Human Protein Atlas as a resource for cancer research. Proteomics. 2012;12(13):2067–77.PubMedCrossRef Asplund A, et al. Antibodies for profiling the human proteome-The Human Protein Atlas as a resource for cancer research. Proteomics. 2012;12(13):2067–77.PubMedCrossRef
21.
go back to reference Camp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004;10(21):7252–9.PubMedCrossRef Camp RL, Dolled-Filhart M, Rimm DL. X-tile: a new bio-informatics tool for biomarker assessment and outcome-based cut-point optimization. Clin Cancer Res. 2004;10(21):7252–9.PubMedCrossRef
22.
go back to reference Franceschini A, et al. STRING v91: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res. 2013;41(Database issue):D808–15.PubMed Franceschini A, et al. STRING v91: protein-protein interaction networks, with increased coverage and integration. Nucleic Acids Res. 2013;41(Database issue):D808–15.PubMed
23.
go back to reference Huang DW, et al. The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol. 2007;8(9):R183.PubMedPubMedCentralCrossRef Huang DW, et al. The DAVID Gene Functional Classification Tool: a novel biological module-centric algorithm to functionally analyze large gene lists. Genome Biol. 2007;8(9):R183.PubMedPubMedCentralCrossRef
24.
go back to reference Smoot ME, et al. Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics. 2011;27(3):431–2.PubMedCrossRef Smoot ME, et al. Cytoscape 2.8: new features for data integration and network visualization. Bioinformatics. 2011;27(3):431–2.PubMedCrossRef
25.
go back to reference Bindea G, et al. ClueGO: a Cytoscape plug-into decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics. 2009;25(8):1091–3.PubMedPubMedCentralCrossRef Bindea G, et al. ClueGO: a Cytoscape plug-into decipher functionally grouped gene ontology and pathway annotation networks. Bioinformatics. 2009;25(8):1091–3.PubMedPubMedCentralCrossRef
26.
go back to reference Bindea G, Galon J, Mlecnik B. CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data. Bioinformatics. 2013;29(5):661–3.PubMedPubMedCentralCrossRef Bindea G, Galon J, Mlecnik B. CluePedia Cytoscape plugin: pathway insights using integrated experimental and in silico data. Bioinformatics. 2013;29(5):661–3.PubMedPubMedCentralCrossRef
27.
go back to reference Subramanian A, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA. 2005;102(43):15545–50.PubMedPubMedCentralCrossRef Subramanian A, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci USA. 2005;102(43):15545–50.PubMedPubMedCentralCrossRef
28.
go back to reference Ru B, et al. TISIDB: an integrated repository portal for tumor-immune system interactions. Bioinformatics. 2019;35(20):4200–2.PubMedCrossRef Ru B, et al. TISIDB: an integrated repository portal for tumor-immune system interactions. Bioinformatics. 2019;35(20):4200–2.PubMedCrossRef
29.
go back to reference Yusenko MV, et al. High-resolution DNA copy number and gene expression analyses distinguish chromophobe renal cell carcinomas and renal oncocytomas. BMC Cancer. 2009;9:152.PubMedPubMedCentralCrossRef Yusenko MV, et al. High-resolution DNA copy number and gene expression analyses distinguish chromophobe renal cell carcinomas and renal oncocytomas. BMC Cancer. 2009;9:152.PubMedPubMedCentralCrossRef
30.
go back to reference Beroukhim R, et al. Patterns of gene expression and copy-number alterations in von-hippel lindau disease-associated and sporadic clear cell carcinoma of the kidney. Cancer Res. 2009;69(11):4674–81.PubMedPubMedCentralCrossRef Beroukhim R, et al. Patterns of gene expression and copy-number alterations in von-hippel lindau disease-associated and sporadic clear cell carcinoma of the kidney. Cancer Res. 2009;69(11):4674–81.PubMedPubMedCentralCrossRef
31.
go back to reference Gumz ML, et al. Secreted frizzled-related protein 1 loss contributes to tumor phenotype of clear cell renal cell carcinoma. Clin Cancer Res. 2007;13(16):4740–9.PubMedCrossRef Gumz ML, et al. Secreted frizzled-related protein 1 loss contributes to tumor phenotype of clear cell renal cell carcinoma. Clin Cancer Res. 2007;13(16):4740–9.PubMedCrossRef
32.
33.
go back to reference Zhang H, et al. The AQP-3 water channel is a pivotal modulator of glycerol-induced chloride channel activation in nasopharyngeal carcinoma cells. Int J Biochem Cell Biol. 2016;72:89–99.PubMedCrossRef Zhang H, et al. The AQP-3 water channel is a pivotal modulator of glycerol-induced chloride channel activation in nasopharyngeal carcinoma cells. Int J Biochem Cell Biol. 2016;72:89–99.PubMedCrossRef
34.
go back to reference Shen Q, et al. Differential expression of Aquaporins in cervical precursor lesions and invasive cervical cancer. Reprod Sci. 2016;23(11):1551–8.PubMedCrossRef Shen Q, et al. Differential expression of Aquaporins in cervical precursor lesions and invasive cervical cancer. Reprod Sci. 2016;23(11):1551–8.PubMedCrossRef
35.
36.
go back to reference Crusz SM, Balkwill FR. Inflammation and cancer: advances and new agents. Nat Rev Clin Oncol. 2015;12(10):584–96.PubMedCrossRef Crusz SM, Balkwill FR. Inflammation and cancer: advances and new agents. Nat Rev Clin Oncol. 2015;12(10):584–96.PubMedCrossRef
38.
go back to reference Pribluda A, et al. A senescence-inflammatory switch from cancer-inhibitory to cancer-promoting mechanism. Cancer Cell. 2013;24(2):242–56.PubMedCrossRef Pribluda A, et al. A senescence-inflammatory switch from cancer-inhibitory to cancer-promoting mechanism. Cancer Cell. 2013;24(2):242–56.PubMedCrossRef
41.
go back to reference Fu Q, et al. Prognostic value of interleukin-6 and interleukin-6 receptor in organ-confined clear-cell renal cell carcinoma: a 5-year conditional cancer-specific survival analysis. Br J Cancer. 2015;113(11):1581–9.PubMedPubMedCentralCrossRef Fu Q, et al. Prognostic value of interleukin-6 and interleukin-6 receptor in organ-confined clear-cell renal cell carcinoma: a 5-year conditional cancer-specific survival analysis. Br J Cancer. 2015;113(11):1581–9.PubMedPubMedCentralCrossRef
42.
go back to reference Horiguchi A, et al. STAT3, but not ERKs, mediates the IL-6-induced proliferation of renal cancer cells, ACHN and 769P. Kidney Int. 2002;61(3):926–38.PubMedCrossRef Horiguchi A, et al. STAT3, but not ERKs, mediates the IL-6-induced proliferation of renal cancer cells, ACHN and 769P. Kidney Int. 2002;61(3):926–38.PubMedCrossRef
43.
go back to reference Rosenberg SA. IL-2: the first effective immunotherapy for human cancer. J Immunol. 2014;192(12):5451–8.PubMedCrossRef Rosenberg SA. IL-2: the first effective immunotherapy for human cancer. J Immunol. 2014;192(12):5451–8.PubMedCrossRef
44.
go back to reference Sim GC, Radvanyi L. The IL-2 cytokine family in cancer immunotherapy. Cytokine Growth Factor Rev. 2014;25(4):377–90.PubMedCrossRef Sim GC, Radvanyi L. The IL-2 cytokine family in cancer immunotherapy. Cytokine Growth Factor Rev. 2014;25(4):377–90.PubMedCrossRef
45.
go back to reference Aggarwal BB. Signalling pathways of the TNF superfamily: a double-edged sword. Nat Rev Immunol. 2003;3(9):745–56.PubMedCrossRef Aggarwal BB. Signalling pathways of the TNF superfamily: a double-edged sword. Nat Rev Immunol. 2003;3(9):745–56.PubMedCrossRef
46.
47.
go back to reference Nagahara M, et al. TNF-alpha-induced aquaporin 9 in synoviocytes from patients with OA and RA. Rheumatology (Oxford). 2010;49(5):898–906.CrossRef Nagahara M, et al. TNF-alpha-induced aquaporin 9 in synoviocytes from patients with OA and RA. Rheumatology (Oxford). 2010;49(5):898–906.CrossRef
48.
go back to reference Huang D, et al. AQP9-induced cell cycle arrest is associated with RAS activation and improves chemotherapy treatment efficacy in colorectal cancer. Cell Death Dis. 2017;8(6):e2894.PubMedPubMedCentralCrossRef Huang D, et al. AQP9-induced cell cycle arrest is associated with RAS activation and improves chemotherapy treatment efficacy in colorectal cancer. Cell Death Dis. 2017;8(6):e2894.PubMedPubMedCentralCrossRef
Metadata
Title
Prognostic implications of Aquaporin 9 expression in clear cell renal cell carcinoma
Authors
Wen-Hao Xu
Shen-Nan Shi
Yue Xu
Jun Wang
Hong-Kai Wang
Da-Long Cao
Guo-Hai Shi
Yuan-Yuan Qu
Hai-Liang Zhang
Ding-Wei Ye
Publication date
01-12-2019
Publisher
BioMed Central
Published in
Journal of Translational Medicine / Issue 1/2019
Electronic ISSN: 1479-5876
DOI
https://doi.org/10.1186/s12967-019-2113-y

Other articles of this Issue 1/2019

Journal of Translational Medicine 1/2019 Go to the issue