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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...

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Autores principales: Xu, Wen-Bin, Kotheeranurak, Vit, Chen, Ding-Qiang, Sun, Nai-Kun, Cai, Di-Xin, Chen, Chien-Min, Lin, Guang-Xun, Rui, Gang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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.
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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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