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Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia
The non-receptor protein tyrosine phosphatases gene family (PTPNs) is involved in the tumorigenesis and development of many cancers, but the role of PTPNs in acute myeloid leukemia (AML) remains unclear. After a comprehensive evaluation on the expression patterns and immunological effects of PTPNs u...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603079/ https://www.ncbi.nlm.nih.gov/pubmed/37884566 http://dx.doi.org/10.1038/s41598-023-44892-z |
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author | Wang, Xuanyu Wu, Sanyun Sun, Le Jin, Peipei Zhang, Jianmin Liu, Wen Zhan, Zhuo Wang, Zisong Liu, Xiaoping He, Li |
author_facet | Wang, Xuanyu Wu, Sanyun Sun, Le Jin, Peipei Zhang, Jianmin Liu, Wen Zhan, Zhuo Wang, Zisong Liu, Xiaoping He, Li |
author_sort | Wang, Xuanyu |
collection | PubMed |
description | The non-receptor protein tyrosine phosphatases gene family (PTPNs) is involved in the tumorigenesis and development of many cancers, but the role of PTPNs in acute myeloid leukemia (AML) remains unclear. After a comprehensive evaluation on the expression patterns and immunological effects of PTPNs using a pan-cancer analysis based on RNA sequencing data obtained from The Cancer Genome Atlas, the most valuable gene PTPN2 was discovered. Further investigation of the expression patterns of PTPN2 in different tissues and cells showed a robust correlation with AML. PTPN2 was then systematically correlated with immunological signatures in the AML tumor microenvironment and its differential expression was verified using clinical samples. In addition, a prediction model, being validated and compared with other models, was developed in our research. The systematic analysis of PTPN family reveals that the effect of PTPNs on cancer may be correlated to mediating cell cycle-related pathways. It was then found that PTPN2 was highly expressed in hematologic diseases and bone marrow tissues, and its differential expression in AML patients and normal humans was verified by clinical samples. Based on its correlation with immune infiltrates, immunomodulators, and immune checkpoint, PTPN2 was found to be a reliable biomarker in the immunotherapy cohort and a prognostic predictor of AML. And PTPN2'riskscore can accurately predict the prognosis and response of cancer immunotherapy. These findings revealed the correlation between PTPNs and immunophenotype, which may be related to cell cycle. PTPN2 was differentially expressed between clinical AML patients and normal people. It is a diagnostic biomarker and potentially therapeutic target, providing targeted guidance for clinical treatment. |
format | Online Article Text |
id | pubmed-10603079 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-106030792023-10-28 Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia Wang, Xuanyu Wu, Sanyun Sun, Le Jin, Peipei Zhang, Jianmin Liu, Wen Zhan, Zhuo Wang, Zisong Liu, Xiaoping He, Li Sci Rep Article The non-receptor protein tyrosine phosphatases gene family (PTPNs) is involved in the tumorigenesis and development of many cancers, but the role of PTPNs in acute myeloid leukemia (AML) remains unclear. After a comprehensive evaluation on the expression patterns and immunological effects of PTPNs using a pan-cancer analysis based on RNA sequencing data obtained from The Cancer Genome Atlas, the most valuable gene PTPN2 was discovered. Further investigation of the expression patterns of PTPN2 in different tissues and cells showed a robust correlation with AML. PTPN2 was then systematically correlated with immunological signatures in the AML tumor microenvironment and its differential expression was verified using clinical samples. In addition, a prediction model, being validated and compared with other models, was developed in our research. The systematic analysis of PTPN family reveals that the effect of PTPNs on cancer may be correlated to mediating cell cycle-related pathways. It was then found that PTPN2 was highly expressed in hematologic diseases and bone marrow tissues, and its differential expression in AML patients and normal humans was verified by clinical samples. Based on its correlation with immune infiltrates, immunomodulators, and immune checkpoint, PTPN2 was found to be a reliable biomarker in the immunotherapy cohort and a prognostic predictor of AML. And PTPN2'riskscore can accurately predict the prognosis and response of cancer immunotherapy. These findings revealed the correlation between PTPNs and immunophenotype, which may be related to cell cycle. PTPN2 was differentially expressed between clinical AML patients and normal people. It is a diagnostic biomarker and potentially therapeutic target, providing targeted guidance for clinical treatment. Nature Publishing Group UK 2023-10-26 /pmc/articles/PMC10603079/ /pubmed/37884566 http://dx.doi.org/10.1038/s41598-023-44892-z Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Wang, Xuanyu Wu, Sanyun Sun, Le Jin, Peipei Zhang, Jianmin Liu, Wen Zhan, Zhuo Wang, Zisong Liu, Xiaoping He, Li Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia |
title | Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia |
title_full | Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia |
title_fullStr | Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia |
title_full_unstemmed | Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia |
title_short | Pan-cancer analysis revealing that PTPN2 is an indicator of risk stratification for acute myeloid leukemia |
title_sort | pan-cancer analysis revealing that ptpn2 is an indicator of risk stratification for acute myeloid leukemia |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10603079/ https://www.ncbi.nlm.nih.gov/pubmed/37884566 http://dx.doi.org/10.1038/s41598-023-44892-z |
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