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Bioinformatic Analysis of The Prognostic Value of A Panel of Six Amino Acid Transporters in Human Cancers
OBJECTIVE: Solid tumor cells utilize amino acid transporters (AATs) to increase amino acid uptake in response to nutrient-insufficiency. The upregulation of AATs is therefore critical for tumor development and progression. This study identifies the upregulated AATs under amino acid deprived conditio...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Royan Institute
2023
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520983/ https://www.ncbi.nlm.nih.gov/pubmed/37718764 http://dx.doi.org/10.22074/CELLJ.2023.2004011.1319 |
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author | Liu, Yaqi Xiong, Haijuan Yan, Chenhui Wang, Yalei Cao, Wenfeng Qie, Shuo |
author_facet | Liu, Yaqi Xiong, Haijuan Yan, Chenhui Wang, Yalei Cao, Wenfeng Qie, Shuo |
author_sort | Liu, Yaqi |
collection | PubMed |
description | OBJECTIVE: Solid tumor cells utilize amino acid transporters (AATs) to increase amino acid uptake in response to nutrient-insufficiency. The upregulation of AATs is therefore critical for tumor development and progression. This study identifies the upregulated AATs under amino acid deprived conditions, and further determines the clinicopathological importance of these AATs in evaluating the prognosis of patients with cancers. MATERIALS AND METHODS: In this experimental study, the Gene Expression Omnibus (GEO) datasets (GSE62673, GSE26370, GSE125782 and GSE150874) were downloaded from the NCBI website and utilized for integrated differential expression and pathway analysis v0.96, Gene Set Enrichment Analysis (GSEA), and REACTOME analyses to identify the AATs upregulated in response to amino acid deprivation. In addition, The Cancer Genome Atlas (TCGA) datasets with prognostic information were assessed and employed to evaluate the association of identified AATs with patients’ prognoses using SurvExpress analysis. RESULTS: Using analysis of NCBI GEO data, this study shows that amino acid deprivation leads to the upregulation of six AAT genes; SLC3A2, SLC7A5, SLC7A1, SLC1A4, SLC7A11 and SLC1A5. GSEA and REACTOME analyses identified altered signaling in cells exposed to amino acid deprivation, such as pathways related to stress responses, the cell cycle and apoptosis. In addition, Principal Component Analysis showed these six AAT genes to be well divided into two distinct clusters in relation to TCGA tumor tissues versus normal counterparts. Finally, Log-Rank analysis confirmed the upregulation of this panel of six AAT genes is correlated with poor prognosis in patients with colorectal, esophageal, kidney and lung cancers. CONCLUSION: The upregulation of a panel of six AATs is common in several human cancers and may provide a valuable diagnostic tool to evaluate the prognosis of patients with colorectal, esophageal, kidney and lung cancers. |
format | Online Article Text |
id | pubmed-10520983 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Royan Institute |
record_format | MEDLINE/PubMed |
spelling | pubmed-105209832023-09-27 Bioinformatic Analysis of The Prognostic Value of A Panel of Six Amino Acid Transporters in Human Cancers Liu, Yaqi Xiong, Haijuan Yan, Chenhui Wang, Yalei Cao, Wenfeng Qie, Shuo Cell J Original Article OBJECTIVE: Solid tumor cells utilize amino acid transporters (AATs) to increase amino acid uptake in response to nutrient-insufficiency. The upregulation of AATs is therefore critical for tumor development and progression. This study identifies the upregulated AATs under amino acid deprived conditions, and further determines the clinicopathological importance of these AATs in evaluating the prognosis of patients with cancers. MATERIALS AND METHODS: In this experimental study, the Gene Expression Omnibus (GEO) datasets (GSE62673, GSE26370, GSE125782 and GSE150874) were downloaded from the NCBI website and utilized for integrated differential expression and pathway analysis v0.96, Gene Set Enrichment Analysis (GSEA), and REACTOME analyses to identify the AATs upregulated in response to amino acid deprivation. In addition, The Cancer Genome Atlas (TCGA) datasets with prognostic information were assessed and employed to evaluate the association of identified AATs with patients’ prognoses using SurvExpress analysis. RESULTS: Using analysis of NCBI GEO data, this study shows that amino acid deprivation leads to the upregulation of six AAT genes; SLC3A2, SLC7A5, SLC7A1, SLC1A4, SLC7A11 and SLC1A5. GSEA and REACTOME analyses identified altered signaling in cells exposed to amino acid deprivation, such as pathways related to stress responses, the cell cycle and apoptosis. In addition, Principal Component Analysis showed these six AAT genes to be well divided into two distinct clusters in relation to TCGA tumor tissues versus normal counterparts. Finally, Log-Rank analysis confirmed the upregulation of this panel of six AAT genes is correlated with poor prognosis in patients with colorectal, esophageal, kidney and lung cancers. CONCLUSION: The upregulation of a panel of six AATs is common in several human cancers and may provide a valuable diagnostic tool to evaluate the prognosis of patients with colorectal, esophageal, kidney and lung cancers. Royan Institute 2023-09 2023-09-09 /pmc/articles/PMC10520983/ /pubmed/37718764 http://dx.doi.org/10.22074/CELLJ.2023.2004011.1319 Text en Any use, distribution, reproduction or abstract of this publication in any medium, with the exception of commercial purposes, is permitted provided the original work is properly cited. https://creativecommons.org/licenses/by-nc/3.0/This is an open-access article distributed under the terms of the Creative Commons Attribution Non-Commercial 3.0 (CC BY-NC 3.0) License, which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Liu, Yaqi Xiong, Haijuan Yan, Chenhui Wang, Yalei Cao, Wenfeng Qie, Shuo Bioinformatic Analysis of The Prognostic Value of A Panel of Six Amino Acid Transporters in Human Cancers |
title | Bioinformatic Analysis of The Prognostic Value of A Panel of
Six Amino Acid Transporters in Human Cancers |
title_full | Bioinformatic Analysis of The Prognostic Value of A Panel of
Six Amino Acid Transporters in Human Cancers |
title_fullStr | Bioinformatic Analysis of The Prognostic Value of A Panel of
Six Amino Acid Transporters in Human Cancers |
title_full_unstemmed | Bioinformatic Analysis of The Prognostic Value of A Panel of
Six Amino Acid Transporters in Human Cancers |
title_short | Bioinformatic Analysis of The Prognostic Value of A Panel of
Six Amino Acid Transporters in Human Cancers |
title_sort | bioinformatic analysis of the prognostic value of a panel of
six amino acid transporters in human cancers |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10520983/ https://www.ncbi.nlm.nih.gov/pubmed/37718764 http://dx.doi.org/10.22074/CELLJ.2023.2004011.1319 |
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