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Pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene NAIP
BACKGROUND: Intervertebral disc degeneration (IDD) is a progressive chronic condition that commonly causes low back pain. Cancer is among the primary reasons for deaths worldwide. Our purpose was to identify the characteristic genes of IDD and explore the potential association between IDD and cancer...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237447/ https://www.ncbi.nlm.nih.gov/pubmed/37267294 http://dx.doi.org/10.1371/journal.pone.0286647 |
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author | Xu, Wen-Bin Kotheeranurak, Vit Chen, Ding-Qiang Sun, Nai-Kun Cai, Di-Xin Chen, Chien-Min Lin, Guang-Xun Rui, Gang |
author_facet | Xu, Wen-Bin Kotheeranurak, Vit Chen, Ding-Qiang Sun, Nai-Kun Cai, Di-Xin Chen, Chien-Min Lin, Guang-Xun Rui, Gang |
author_sort | Xu, Wen-Bin |
collection | PubMed |
description | BACKGROUND: Intervertebral disc degeneration (IDD) is a progressive chronic condition that commonly causes low back pain. Cancer is among the primary reasons for deaths worldwide. Our purpose was to identify the characteristic genes of IDD and explore the potential association between IDD and cancer. METHODS: Immune cell infiltration and differentially expressed analysis were conducted utilizing data from the GSE124272 database. Enrichment analysis of differentially expressed genes (DEGs) was performed to explore the possible mechanisms underlying IDD development. Moreover, weighted gene correlation network analysis (WGCNA) was applied to select IDD-related hub genes. The immune-related key genes were determined by intersecting DEGs, IDD-related hub genes, and immune genes. Subsequently, machine learning models based on these genes were built to identify and verify the characteristic genes. RNA sequencing and clinical data of 33 carcinoma categories were obtained from the Cancer Genome Atlas (TCGA). The association between NAIP expression and prognosis was calculated using the Kaplan-Meier analysis. To gain a deeper understanding of the impact of NAIP in tumor immunotherapy, the association between NAIP and immune infiltration and two immunotherapeutic biomarkers were explored. Ultimately, the association between NAIP and immunotherapeutic response was investigated utilizing two independent cohorts. RESULTS: NAIP was identified as an immune-related characteristic gene between IDD and normal intervertebral disc tissue. In certain carcinoma categories, NAIP expression levels were elevated (4/33) and significantly correlated to the respective tumor stage (4/21). Survival analysis revealed that the expression levels of NAIP have prognostic significance in different cancer types. Generally, NAIP presented a strong association with immune cell infiltration and modulators. NAIP may influence immunotherapy effects through tumor mutational burden and microsatellite instability. No remarkable association between NAIP and immunotherapy response was found in either cohort. CONCLUSION: Our study is the first to identify NAIP as an immune-related characteristic gene. Pan-cancer analysis revealed that NAIP could serve as a novel clinical prognostic marker and therapeutic target for a variety of carcinoma categories, reducing the risk of IDD in tumor patients. |
format | Online Article Text |
id | pubmed-10237447 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-102374472023-06-03 Pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene NAIP Xu, Wen-Bin Kotheeranurak, Vit Chen, Ding-Qiang Sun, Nai-Kun Cai, Di-Xin Chen, Chien-Min Lin, Guang-Xun Rui, Gang PLoS One Research Article BACKGROUND: Intervertebral disc degeneration (IDD) is a progressive chronic condition that commonly causes low back pain. Cancer is among the primary reasons for deaths worldwide. Our purpose was to identify the characteristic genes of IDD and explore the potential association between IDD and cancer. METHODS: Immune cell infiltration and differentially expressed analysis were conducted utilizing data from the GSE124272 database. Enrichment analysis of differentially expressed genes (DEGs) was performed to explore the possible mechanisms underlying IDD development. Moreover, weighted gene correlation network analysis (WGCNA) was applied to select IDD-related hub genes. The immune-related key genes were determined by intersecting DEGs, IDD-related hub genes, and immune genes. Subsequently, machine learning models based on these genes were built to identify and verify the characteristic genes. RNA sequencing and clinical data of 33 carcinoma categories were obtained from the Cancer Genome Atlas (TCGA). The association between NAIP expression and prognosis was calculated using the Kaplan-Meier analysis. To gain a deeper understanding of the impact of NAIP in tumor immunotherapy, the association between NAIP and immune infiltration and two immunotherapeutic biomarkers were explored. Ultimately, the association between NAIP and immunotherapeutic response was investigated utilizing two independent cohorts. RESULTS: NAIP was identified as an immune-related characteristic gene between IDD and normal intervertebral disc tissue. In certain carcinoma categories, NAIP expression levels were elevated (4/33) and significantly correlated to the respective tumor stage (4/21). Survival analysis revealed that the expression levels of NAIP have prognostic significance in different cancer types. Generally, NAIP presented a strong association with immune cell infiltration and modulators. NAIP may influence immunotherapy effects through tumor mutational burden and microsatellite instability. No remarkable association between NAIP and immunotherapy response was found in either cohort. CONCLUSION: Our study is the first to identify NAIP as an immune-related characteristic gene. Pan-cancer analysis revealed that NAIP could serve as a novel clinical prognostic marker and therapeutic target for a variety of carcinoma categories, reducing the risk of IDD in tumor patients. Public Library of Science 2023-06-02 /pmc/articles/PMC10237447/ /pubmed/37267294 http://dx.doi.org/10.1371/journal.pone.0286647 Text en © 2023 Xu et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Xu, Wen-Bin Kotheeranurak, Vit Chen, Ding-Qiang Sun, Nai-Kun Cai, Di-Xin Chen, Chien-Min Lin, Guang-Xun Rui, Gang Pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene NAIP |
title | Pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene NAIP |
title_full | Pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene NAIP |
title_fullStr | Pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene NAIP |
title_full_unstemmed | Pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene NAIP |
title_short | Pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene NAIP |
title_sort | pan-cancer analysis of the intervertebral-disc-degeneration-related innate immunity gene naip |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10237447/ https://www.ncbi.nlm.nih.gov/pubmed/37267294 http://dx.doi.org/10.1371/journal.pone.0286647 |
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