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Bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer
BACKGROUND: Breast cancer (BC) is a highly heterogeneous disease. Solute carriers (SLCs) have been involved in the tumor progression of various cancer types. This study aimed to evaluate the role of these SLC-related glutamine transporters in the prognosis of BC patients by bioinformatics analysis....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
AME Publishing Company
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372701/ https://www.ncbi.nlm.nih.gov/pubmed/35965834 http://dx.doi.org/10.21037/atm-22-2620 |
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author | Zhao, Xin Jin, Liang Liu, Yujie Liu, Zhenzhen Liu, Qiang |
author_facet | Zhao, Xin Jin, Liang Liu, Yujie Liu, Zhenzhen Liu, Qiang |
author_sort | Zhao, Xin |
collection | PubMed |
description | BACKGROUND: Breast cancer (BC) is a highly heterogeneous disease. Solute carriers (SLCs) have been involved in the tumor progression of various cancer types. This study aimed to evaluate the role of these SLC-related glutamine transporters in the prognosis of BC patients by bioinformatics analysis. METHODS: This study examined the transcription and prognostic data for glutamine-related transporters in BC from Oncomine Database, which is currently the largest oncogene microarray database platform in the world. As well as Gene Expression Profiling Interactive Analysis (GEPIA), Kaplan-Meier (K-M), and cBioPortal online resources. The Tumor Immune Estimation Resource (TIMER) and GEPIA were also used to examine the relationship between SLCs and immune cell infiltration. RESULTS: The expression levels of SLC1A5, SLC3A2, SLC7A5, SLC7A8, and SLC38A1 were higher in BC tissues than normal breast tissues, but the expression level of SLC6A14 was lower. The expression levels of SLC7A5, SLC7A8, SLC6A14, and SLC38A2 were related to a later clinical tumor stage. In the K-M analyses, The K-M curves revealed that patients with high SLC1A5 expression had a poor prognosis (OS HR =1.28, 95% CI: 1.06–1.54; P=0.01). The high expression of SLC3A2 was significantly correlated with a poor prognosis (DMFS HR =1.19, 95% CI: 1.02–1.39; P=0.027). Increased SLC7A5 mRNA levels and decreased SLC7A8 mRNA levels were significantly associated with a poor prognosis in terms of OS, RFS, DMFS and PPS. The high expression of SLC6A14 was significantly correlated with a poor prognosis (PPS HR =1.35, 95% CI: 1.07–1.7; P=0.011). The high expression of SLC38A1 was correlated with a better prognosis than low expression of SLC38A1 (RFS HR =0.84, 95% CI: 0.76–0.93; P=0.00077; DMFS HR =0.78, 95% CI: 0.67–0.91; P=0.0013). The infiltration of immune cells and their marker genes were associated with SLC1A5, SLC3A2, SLC7A5, SLC7A8, SLC6A14, SLC38A1, and SLC38A2 expression. SLC7A5, SLC7A8, SLC38A1, and SLC38A2 have the potential to regulate polarization in tumor-associated macrophages. CONCLUSIONS: SLC7A5, SLC7A8, SLC38A1, and SLC38A2 may regulate the polarization of tumor-associated macrophages (TAMs). SLC1A5, SLC3A2, SLC7A5, and SLC6A14 may be promising biomarkers for the BC diagnosis and may represent potential therapeutic targets for these patients. |
format | Online Article Text |
id | pubmed-9372701 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | AME Publishing Company |
record_format | MEDLINE/PubMed |
spelling | pubmed-93727012022-08-13 Bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer Zhao, Xin Jin, Liang Liu, Yujie Liu, Zhenzhen Liu, Qiang Ann Transl Med Original Article BACKGROUND: Breast cancer (BC) is a highly heterogeneous disease. Solute carriers (SLCs) have been involved in the tumor progression of various cancer types. This study aimed to evaluate the role of these SLC-related glutamine transporters in the prognosis of BC patients by bioinformatics analysis. METHODS: This study examined the transcription and prognostic data for glutamine-related transporters in BC from Oncomine Database, which is currently the largest oncogene microarray database platform in the world. As well as Gene Expression Profiling Interactive Analysis (GEPIA), Kaplan-Meier (K-M), and cBioPortal online resources. The Tumor Immune Estimation Resource (TIMER) and GEPIA were also used to examine the relationship between SLCs and immune cell infiltration. RESULTS: The expression levels of SLC1A5, SLC3A2, SLC7A5, SLC7A8, and SLC38A1 were higher in BC tissues than normal breast tissues, but the expression level of SLC6A14 was lower. The expression levels of SLC7A5, SLC7A8, SLC6A14, and SLC38A2 were related to a later clinical tumor stage. In the K-M analyses, The K-M curves revealed that patients with high SLC1A5 expression had a poor prognosis (OS HR =1.28, 95% CI: 1.06–1.54; P=0.01). The high expression of SLC3A2 was significantly correlated with a poor prognosis (DMFS HR =1.19, 95% CI: 1.02–1.39; P=0.027). Increased SLC7A5 mRNA levels and decreased SLC7A8 mRNA levels were significantly associated with a poor prognosis in terms of OS, RFS, DMFS and PPS. The high expression of SLC6A14 was significantly correlated with a poor prognosis (PPS HR =1.35, 95% CI: 1.07–1.7; P=0.011). The high expression of SLC38A1 was correlated with a better prognosis than low expression of SLC38A1 (RFS HR =0.84, 95% CI: 0.76–0.93; P=0.00077; DMFS HR =0.78, 95% CI: 0.67–0.91; P=0.0013). The infiltration of immune cells and their marker genes were associated with SLC1A5, SLC3A2, SLC7A5, SLC7A8, SLC6A14, SLC38A1, and SLC38A2 expression. SLC7A5, SLC7A8, SLC38A1, and SLC38A2 have the potential to regulate polarization in tumor-associated macrophages. CONCLUSIONS: SLC7A5, SLC7A8, SLC38A1, and SLC38A2 may regulate the polarization of tumor-associated macrophages (TAMs). SLC1A5, SLC3A2, SLC7A5, and SLC6A14 may be promising biomarkers for the BC diagnosis and may represent potential therapeutic targets for these patients. AME Publishing Company 2022-07 /pmc/articles/PMC9372701/ /pubmed/35965834 http://dx.doi.org/10.21037/atm-22-2620 Text en 2022 Annals of Translational Medicine. All rights reserved. https://creativecommons.org/licenses/by-nc-nd/4.0/Open Access Statement: This is an Open Access article distributed in accordance with the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International License (CC BY-NC-ND 4.0), which permits the non-commercial replication and distribution of the article with the strict proviso that no changes or edits are made and the original work is properly cited (including links to both the formal publication through the relevant DOI and the license). See: https://creativecommons.org/licenses/by-nc-nd/4.0 (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | Original Article Zhao, Xin Jin, Liang Liu, Yujie Liu, Zhenzhen Liu, Qiang Bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer |
title | Bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer |
title_full | Bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer |
title_fullStr | Bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer |
title_full_unstemmed | Bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer |
title_short | Bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer |
title_sort | bioinformatic analysis of the role of solute carrier-glutamine transporters in breast cancer |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9372701/ https://www.ncbi.nlm.nih.gov/pubmed/35965834 http://dx.doi.org/10.21037/atm-22-2620 |
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