Skip to main content
Top
Published in: BMC Cancer 1/2023

Open Access 01-12-2023 | Metastasis | Research

TAP1, a potential immune-related prognosis biomarker with functional significance in uveal melanoma

Authors: Ru Zhu, Yu-Ting Chen, Bo-Wen Wang, Ya-Yan You, Xing-Hua Wang, Hua-Tao Xie, Fa-Gang Jiang, Ming-Chang Zhang

Published in: BMC Cancer | Issue 1/2023

Login to get access

Abstract

Background

TAP1 is an immunomodulation-related protein that plays different roles in various malignancies. This study investigated the transcriptional expression profile of TAP1 in uveal melanoma (UVM), revealed its potential biological interaction network, and determined its prognostic value.

Methods

CIBERSORT and ESTIMATE bioinformatic methods were used on data sourced from The Cancer Genome Atlas database (TCGA) to determine the correlation between TAP1 expression, UVM prognosis, biological characteristics, and immune infiltration. Gene set enrichment analysis (GSEA) was used to discover the signaling pathways associated with TAP1, while STRING database and CytoHubba were used to construct protein–protein interaction (PPI) and competing endogenous RNA (ceRNA) networks, respectively. An overall survival (OS) prognostic model was constructed to test the predictive efficacy of TAP1, and its effect on the in vitro proliferation activity and metastatic potential of UVM cell line C918 cells was verified by RNA interference.

Results

There was a clear association between TAP1 expression and UVM patient prognosis. Upregulated TAP1 was strongly associated with a shorter survival time, higher likelihood of metastasis, and higher mortality outcomes. According to GSEA analysis, various immunity-related signaling pathways such as primary immunodeficiency were enriched in the presence of elevated TAP1 expression. A PPI network and a ceRNA network were constructed to show the interactions among mRNAs, miRNAs, and lncRNAs. Furthermore, TAP1 expression showed a significant positive correlation with immunoscore, stromal score, CD8+ T cells, and dendritic cells, whereas the correlation with B cells and neutrophils was negative. The Cox regression model and calibration plots confirmed a strong agreement between the estimated OS and actual observed patient values. In vitro silencing of TAP1 expression in C918 cells significantly inhibited cell proliferation and metastasis.

Conclusions

This study is the first to demonstrate that TAP1 expression is positively correlated with clinicopathological factors and poor prognosis in UVM. In vitro experiments also verified that TAP1 is associated with C918 cell proliferation, apoptosis, and metastasis. These results suggest that TAP1 may function as an oncogene, prognostic marker, and importantly, as a novel therapeutic target in patients with UVM.
Appendix
Available only for authorised users
Literature
2.
go back to reference Jager MJ, Shields CL, Cebulla CM, Abdel-Rahman MH, Grossniklaus HE, Stern MH, et al. Uveal melanoma. Nat Rev Dis Primers. 2020;6(1):24.CrossRefPubMed Jager MJ, Shields CL, Cebulla CM, Abdel-Rahman MH, Grossniklaus HE, Stern MH, et al. Uveal melanoma. Nat Rev Dis Primers. 2020;6(1):24.CrossRefPubMed
3.
go back to reference Fu Y, Xiao W. Recent Advances and Challenges in Uveal Melanoma Immunotherapy. Cancers (Basel). 2022;14(13):3094.CrossRefPubMed Fu Y, Xiao W. Recent Advances and Challenges in Uveal Melanoma Immunotherapy. Cancers (Basel). 2022;14(13):3094.CrossRefPubMed
4.
go back to reference Levidou G, Gajdzis P, Cassoux N, Donizy P, Masaoutis C, Gajdzis M, et al. Histone deacetylase (HDAC)-1, −2, −4, and −6 in uveal melanomas: associations with Clinicopathological parameters and Patients' survival. Cancers. 2021;13(19):4763.CrossRefPubMedPubMedCentral Levidou G, Gajdzis P, Cassoux N, Donizy P, Masaoutis C, Gajdzis M, et al. Histone deacetylase (HDAC)-1, −2, −4, and −6 in uveal melanomas: associations with Clinicopathological parameters and Patients' survival. Cancers. 2021;13(19):4763.CrossRefPubMedPubMedCentral
5.
go back to reference Kashyap S, Jha J, Singh MK, Singh L, Sen S, Kaur J, et al. DNA damage response proteins and its role in tumor progression of uveal melanoma with patient outcome. Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico. 2020;22(9):1472–80.CrossRef Kashyap S, Jha J, Singh MK, Singh L, Sen S, Kaur J, et al. DNA damage response proteins and its role in tumor progression of uveal melanoma with patient outcome. Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico. 2020;22(9):1472–80.CrossRef
6.
go back to reference Singh MK, Singh L, Pushker N, Saini N, Meel R, Chosdol K, et al. Identification of canonical NFκB (C-NFκB) pathway in uveal melanoma and their relation with patient outcome. Clin Exp Metastasis. 2019;36(3):271–90.CrossRefPubMed Singh MK, Singh L, Pushker N, Saini N, Meel R, Chosdol K, et al. Identification of canonical NFκB (C-NFκB) pathway in uveal melanoma and their relation with patient outcome. Clin Exp Metastasis. 2019;36(3):271–90.CrossRefPubMed
7.
go back to reference Gallenga CE, Franco E, Adamo GG, Violanti SS, Tassinari P, Tognon M, et al. Genetic basis and molecular mechanisms of uveal melanoma metastasis: a focus on prognosis. Front Oncol. 2022;12:828112.CrossRefPubMedPubMedCentral Gallenga CE, Franco E, Adamo GG, Violanti SS, Tassinari P, Tognon M, et al. Genetic basis and molecular mechanisms of uveal melanoma metastasis: a focus on prognosis. Front Oncol. 2022;12:828112.CrossRefPubMedPubMedCentral
8.
9.
go back to reference Leone P, Shin EC, Perosa F, Vacca A, Dammacco F, Racanelli V. MHC class I antigen processing and presenting machinery: organization, function, and defects in tumor cells. J Natl Cancer Inst. 2013;105(16):1172–87.CrossRefPubMed Leone P, Shin EC, Perosa F, Vacca A, Dammacco F, Racanelli V. MHC class I antigen processing and presenting machinery: organization, function, and defects in tumor cells. J Natl Cancer Inst. 2013;105(16):1172–87.CrossRefPubMed
10.
go back to reference Meng J, Li W, Zhang M, Hao Z, Fan S, Zhang L, et al. An update meta-analysis and systematic review of TAP polymorphisms as potential biomarkers for judging cancer risk. Pathol Res Pract. 2018;214(10):1556–63.CrossRefPubMed Meng J, Li W, Zhang M, Hao Z, Fan S, Zhang L, et al. An update meta-analysis and systematic review of TAP polymorphisms as potential biomarkers for judging cancer risk. Pathol Res Pract. 2018;214(10):1556–63.CrossRefPubMed
11.
go back to reference Tabassum A, Samdani MN, Dhali TC, Alam R, Ahammad F, Samad A, et al. Transporter associated with antigen processing 1 (TAP1) expression and prognostic analysis in breast, lung, liver, and ovarian cancer. J Mol Med (Berl). 2021;99(9):1293–309.CrossRefPubMed Tabassum A, Samdani MN, Dhali TC, Alam R, Ahammad F, Samad A, et al. Transporter associated with antigen processing 1 (TAP1) expression and prognostic analysis in breast, lung, liver, and ovarian cancer. J Mol Med (Berl). 2021;99(9):1293–309.CrossRefPubMed
12.
go back to reference Li X, Zeng S, Ding Y, Nie Y, Yang M. Comprehensive analysis of the potential immune-related biomarker transporter associated with antigen processing 1 that inhibits metastasis and invasion of ovarian Cancer cells. Front Mol Biosci. 2021;8:763958.CrossRefPubMedPubMedCentral Li X, Zeng S, Ding Y, Nie Y, Yang M. Comprehensive analysis of the potential immune-related biomarker transporter associated with antigen processing 1 that inhibits metastasis and invasion of ovarian Cancer cells. Front Mol Biosci. 2021;8:763958.CrossRefPubMedPubMedCentral
13.
go back to reference Wang Y, Yan K, Lin J, Liu Y, Wang J, Li X, et al. CD8+ T cell co-expressed genes correlate with clinical phenotype and microenvironments of urothelial Cancer. Front Oncol. 2020;10:553399.CrossRefPubMedPubMedCentral Wang Y, Yan K, Lin J, Liu Y, Wang J, Li X, et al. CD8+ T cell co-expressed genes correlate with clinical phenotype and microenvironments of urothelial Cancer. Front Oncol. 2020;10:553399.CrossRefPubMedPubMedCentral
14.
go back to reference Zhang X, Sabio E, Krishna C, Ma X, Wang J, Jiang H, et al. Qa-1(b) Modulates Resistance to Anti-PD-1 Immune Checkpoint Blockade in Tumors with Defects in Antigen Processing. Mol Cancer Res. 2021;19(6):1076–84.CrossRefPubMedPubMedCentral Zhang X, Sabio E, Krishna C, Ma X, Wang J, Jiang H, et al. Qa-1(b) Modulates Resistance to Anti-PD-1 Immune Checkpoint Blockade in Tumors with Defects in Antigen Processing. Mol Cancer Res. 2021;19(6):1076–84.CrossRefPubMedPubMedCentral
15.
go back to reference Laurent C, Valet F, Planque N, Silveri L, Maacha S, Anezo O, et al. High PTP4A3 phosphatase expression correlates with metastatic risk in uveal melanoma patients. Cancer Res. 2011;71(3):666–74.CrossRefPubMed Laurent C, Valet F, Planque N, Silveri L, Maacha S, Anezo O, et al. High PTP4A3 phosphatase expression correlates with metastatic risk in uveal melanoma patients. Cancer Res. 2011;71(3):666–74.CrossRefPubMed
16.
go back to reference van Essen TH, van Pelt SI, Bronkhorst IH, Versluis M, Némati F, Laurent C, et al. Upregulation of HLA expression in primary uveal melanoma by infiltrating leukocytes. PLoS One. 2016;11(10):e0164292.CrossRefPubMedPubMedCentral van Essen TH, van Pelt SI, Bronkhorst IH, Versluis M, Némati F, Laurent C, et al. Upregulation of HLA expression in primary uveal melanoma by infiltrating leukocytes. PLoS One. 2016;11(10):e0164292.CrossRefPubMedPubMedCentral
17.
go back to reference Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47.CrossRefPubMedPubMedCentral Ritchie ME, Phipson B, Wu D, Hu Y, Law CW, Shi W, et al. Limma powers differential expression analyses for RNA-sequencing and microarray studies. Nucleic Acids Res. 2015;43(7):e47.CrossRefPubMedPubMedCentral
18.
19.
go back to reference Kanehisa M, Sato Y, Furumichi M, Morishima K, Tanabe M. New approach for understanding genome variations in KEGG. Nucleic Acids Res. 2019;47(D1):D590–d595.CrossRefPubMed Kanehisa M, Sato Y, Furumichi M, Morishima K, Tanabe M. New approach for understanding genome variations in KEGG. Nucleic Acids Res. 2019;47(D1):D590–d595.CrossRefPubMed
20.
go back to reference Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics : a journal of integrative biology. 2012;16(5):284–7.CrossRefPubMed Yu G, Wang LG, Han Y, He QY. clusterProfiler: an R package for comparing biological themes among gene clusters. Omics : a journal of integrative biology. 2012;16(5):284–7.CrossRefPubMed
21.
go back to reference Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–50.CrossRefPubMedPubMedCentral Subramanian A, Tamayo P, Mootha VK, Mukherjee S, Ebert BL, Gillette MA, et al. Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles. Proc Natl Acad Sci U S A. 2005;102(43):15545–50.CrossRefPubMedPubMedCentral
22.
go back to reference Li T, Fan J, Wang B, Traugh N, Chen Q, Liu JS, et al. TIMER: a web server for comprehensive analysis of tumor-infiltrating immune cells. Cancer Res. 2017;77(21):e108–10.CrossRefPubMedPubMedCentral Li T, Fan J, Wang B, Traugh N, Chen Q, Liu JS, et al. TIMER: a web server for comprehensive analysis of tumor-infiltrating immune cells. Cancer Res. 2017;77(21):e108–10.CrossRefPubMedPubMedCentral
23.
go back to reference Yoshihara K, Shahmoradgoli M, Martínez E, Vegesna R, Kim H, Torres-Garcia W, et al. Inferring tumour purity and stromal and immune cell admixture from expression data. Nat Commun. 2013;4:2612.CrossRefPubMed Yoshihara K, Shahmoradgoli M, Martínez E, Vegesna R, Kim H, Torres-Garcia W, et al. Inferring tumour purity and stromal and immune cell admixture from expression data. Nat Commun. 2013;4:2612.CrossRefPubMed
24.
go back to reference Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.CrossRefPubMedPubMedCentral Shannon P, Markiel A, Ozier O, Baliga NS, Wang JT, Ramage D, et al. Cytoscape: a software environment for integrated models of biomolecular interaction networks. Genome Res. 2003;13(11):2498–504.CrossRefPubMedPubMedCentral
25.
go back to reference Chin CH, Chen SH, Wu HH, Ho CW, Ko MT. Lin CY: cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Syst Biol. 2014;8(4):1–7. Chin CH, Chen SH, Wu HH, Ho CW, Ko MT. Lin CY: cytoHubba: identifying hub objects and sub-networks from complex interactome. BMC Syst Biol. 2014;8(4):1–7.
26.
go back to reference Liu J, Lichtenberg T, Hoadley KA, Poisson LM, Lazar AJ, Cherniack AD, et al. An integrated TCGA Pan-Cancer clinical data resource to drive high-quality survival outcome analytics. Cell. 2018;173(2):400–416.e411.CrossRefPubMedPubMedCentral Liu J, Lichtenberg T, Hoadley KA, Poisson LM, Lazar AJ, Cherniack AD, et al. An integrated TCGA Pan-Cancer clinical data resource to drive high-quality survival outcome analytics. Cell. 2018;173(2):400–416.e411.CrossRefPubMedPubMedCentral
27.
go back to reference Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez JC, et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC bioinformatics. 2011;12:77.CrossRefPubMedPubMedCentral Robin X, Turck N, Hainard A, Tiberti N, Lisacek F, Sanchez JC, et al. pROC: an open-source package for R and S+ to analyze and compare ROC curves. BMC bioinformatics. 2011;12:77.CrossRefPubMedPubMedCentral
30.
go back to reference Ling A, Löfgren-Burström A, Larsson P, Li X, Wikberg ML, Öberg Å, et al. TAP1 down-regulation elicits immune escape and poor prognosis in colorectal cancer. Oncoimmunology. 2017;6(11):e1356143.CrossRefPubMedPubMedCentral Ling A, Löfgren-Burström A, Larsson P, Li X, Wikberg ML, Öberg Å, et al. TAP1 down-regulation elicits immune escape and poor prognosis in colorectal cancer. Oncoimmunology. 2017;6(11):e1356143.CrossRefPubMedPubMedCentral
31.
go back to reference Reschke R, Gajewski TF. CXCL9 and CXCL10 bring the heat to tumors. Sci Immunol. 2022;7(73):eabq6509.CrossRefPubMed Reschke R, Gajewski TF. CXCL9 and CXCL10 bring the heat to tumors. Sci Immunol. 2022;7(73):eabq6509.CrossRefPubMed
32.
go back to reference Halama N, Zoernig I, Berthel A, Kahlert C, Klupp F, Suarez-Carmona M, et al. Tumoral immune cell exploitation in colorectal Cancer metastases can be targeted effectively by anti-CCR5 therapy in Cancer patients. Cancer Cell. 2016;29(4):587–601.CrossRefPubMed Halama N, Zoernig I, Berthel A, Kahlert C, Klupp F, Suarez-Carmona M, et al. Tumoral immune cell exploitation in colorectal Cancer metastases can be targeted effectively by anti-CCR5 therapy in Cancer patients. Cancer Cell. 2016;29(4):587–601.CrossRefPubMed
33.
go back to reference Fisch D, Bando H, Clough B, Hornung V, Yamamoto M, Shenoy AR, et al. Human GBP1 is a microbe-specific gatekeeper of macrophage apoptosis and pyroptosis. EMBO J. 2019;38(13):e100926.CrossRefPubMedPubMedCentral Fisch D, Bando H, Clough B, Hornung V, Yamamoto M, Shenoy AR, et al. Human GBP1 is a microbe-specific gatekeeper of macrophage apoptosis and pyroptosis. EMBO J. 2019;38(13):e100926.CrossRefPubMedPubMedCentral
34.
35.
go back to reference Gupta R, Forloni M, Bisserier M, Dogra SK, Yang Q, Wajapeyee N. Interferon alpha-inducible protein 6 regulates NRASQ61K-induced melanomagenesis and growth. Elife. 2016;5:e16432.CrossRefPubMedPubMedCentral Gupta R, Forloni M, Bisserier M, Dogra SK, Yang Q, Wajapeyee N. Interferon alpha-inducible protein 6 regulates NRASQ61K-induced melanomagenesis and growth. Elife. 2016;5:e16432.CrossRefPubMedPubMedCentral
36.
go back to reference Puig-Butille JA, Escámez MJ, Garcia-Garcia F, Tell-Marti G, Fabra À, Martínez-Santamaría L, et al. Capturing the biological impact of CDKN2A and MC1R genes as an early predisposing event in melanoma and non melanoma skin cancer. Oncotarget. 2014;5(6):1439–51.CrossRefPubMed Puig-Butille JA, Escámez MJ, Garcia-Garcia F, Tell-Marti G, Fabra À, Martínez-Santamaría L, et al. Capturing the biological impact of CDKN2A and MC1R genes as an early predisposing event in melanoma and non melanoma skin cancer. Oncotarget. 2014;5(6):1439–51.CrossRefPubMed
37.
go back to reference Fagiani E, Giardina G, Luzi L, Cesaroni M, Quarto M, Capra M, et al. RaLP, a new member of the Src homology and collagen family, regulates cell migration and tumor growth of metastatic melanomas. Cancer Res. 2007;67(7):3064–73.CrossRefPubMed Fagiani E, Giardina G, Luzi L, Cesaroni M, Quarto M, Capra M, et al. RaLP, a new member of the Src homology and collagen family, regulates cell migration and tumor growth of metastatic melanomas. Cancer Res. 2007;67(7):3064–73.CrossRefPubMed
38.
go back to reference Zhang X, Zhang H, Liao Z, Zhang J, Liang H, Wang W, et al. SHC4 promotes tumor proliferation and metastasis by activating STAT3 signaling in hepatocellular carcinoma. Cancer Cell Int. 2022;22(1):24.CrossRefPubMedPubMedCentral Zhang X, Zhang H, Liao Z, Zhang J, Liang H, Wang W, et al. SHC4 promotes tumor proliferation and metastasis by activating STAT3 signaling in hepatocellular carcinoma. Cancer Cell Int. 2022;22(1):24.CrossRefPubMedPubMedCentral
39.
go back to reference Yang H, Cai MY, Rong H, Ma LR, Xu YL. ZNF667-AS1, a positively regulating MEGF10, inhibits the progression of uveal melanoma by modulating cellular aggressiveness. J Biochem Mol Toxicol. 2021;35(5):e22732.CrossRefPubMed Yang H, Cai MY, Rong H, Ma LR, Xu YL. ZNF667-AS1, a positively regulating MEGF10, inhibits the progression of uveal melanoma by modulating cellular aggressiveness. J Biochem Mol Toxicol. 2021;35(5):e22732.CrossRefPubMed
40.
go back to reference Mehta V, Suman P, Chander H. High levels of unfolded protein response component CHAC1 associates with cancer progression signatures in malignant breast cancer tissues. Clin Transl Oncol. 2022;24(12):2351–65.CrossRefPubMed Mehta V, Suman P, Chander H. High levels of unfolded protein response component CHAC1 associates with cancer progression signatures in malignant breast cancer tissues. Clin Transl Oncol. 2022;24(12):2351–65.CrossRefPubMed
41.
go back to reference Koetzier SC, van Langelaar J, Melief MJ, Wierenga-Wolf AF, Corsten CEA. Distinct Effector Programs of Brain-Homing CD8(+) T Cells in Multiple Sclerosis. Cells. 2022;11(10):1634.CrossRefPubMedPubMedCentral Koetzier SC, van Langelaar J, Melief MJ, Wierenga-Wolf AF, Corsten CEA. Distinct Effector Programs of Brain-Homing CD8(+) T Cells in Multiple Sclerosis. Cells. 2022;11(10):1634.CrossRefPubMedPubMedCentral
Metadata
Title
TAP1, a potential immune-related prognosis biomarker with functional significance in uveal melanoma
Authors
Ru Zhu
Yu-Ting Chen
Bo-Wen Wang
Ya-Yan You
Xing-Hua Wang
Hua-Tao Xie
Fa-Gang Jiang
Ming-Chang Zhang
Publication date
01-12-2023
Publisher
BioMed Central
Published in
BMC Cancer / Issue 1/2023
Electronic ISSN: 1471-2407
DOI
https://doi.org/10.1186/s12885-023-10527-9

Other articles of this Issue 1/2023

BMC Cancer 1/2023 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine