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Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma

BACKGROUNDS: Colon adenocarcinoma(COAD) is one of the most common tumors of the digestive tract. Lymph node metastasis (LNM) is a well-established prognostic factor for COAD. The mechanism of COAD lymph node metastasis in immunology remains unknown. The identification of LNM-related biomarkers of CO...

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Autores principales: Zhang, Haoxiang, Zhao, Guibin, Zhu, Guangwei, Ye, Jianxin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884978/
https://www.ncbi.nlm.nih.gov/pubmed/36727052
http://dx.doi.org/10.3389/fonc.2022.907464
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author Zhang, Haoxiang
Zhao, Guibin
Zhu, Guangwei
Ye, Jianxin
author_facet Zhang, Haoxiang
Zhao, Guibin
Zhu, Guangwei
Ye, Jianxin
author_sort Zhang, Haoxiang
collection PubMed
description BACKGROUNDS: Colon adenocarcinoma(COAD) is one of the most common tumors of the digestive tract. Lymph node metastasis (LNM) is a well-established prognostic factor for COAD. The mechanism of COAD lymph node metastasis in immunology remains unknown. The identification of LNM-related biomarkers of COAD could help in its treatment. Thus, the current study was aimed to identify key genes and construct a prognostic signature. METHODS: Gene expression and clinical data were obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes were calculated by using R software. GO functional and KEGG pathway enrichment analysis were processed. The CIBERSORT algorithm was used to assess immune cell infiltration. STRING database was used to screen key genes and constructed a protein-protein interaction network (PPI network). The LASSO-Cox regression analysis was performed based on the components of the PPI network. The correlation analysis between LNM-related signature and immune infiltrating cells was then investigated. TISIDB was used to explore the correlation between the abundance of immunomodulators and the expression of the inquired gene. RESULTS: In total, 394 differentially expressed genes were identified. After constructing and analyzing the PPI network, 180 genes were entered into the LASSO-Cox regression model, constructing a gene signature. Five genes(PMCH, LRP2, NAT1, NKAIN4, and CD1B) were identified as LNM-related genes of clinical value. Correlation analysis revealed that LRP2 and T follicular helper cells (R=0.34, P=0.0019) and NKAIN4 and T follicular helper cells (R=0.23, P=0.041) had significant correlations. Immunologic analysis revealed that LRP2 and NKAIN4 are potential coregulators of immune checkpoints in COAD. CONCLUSION: In general, this study revealed the key genes related to lymph node metastasis and prognostic signature. Several potential mechanisms and therapeutic and prognostic targets of lymph node metastasis were also demonstrated in COAD.
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spelling pubmed-98849782023-01-31 Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma Zhang, Haoxiang Zhao, Guibin Zhu, Guangwei Ye, Jianxin Front Oncol Oncology BACKGROUNDS: Colon adenocarcinoma(COAD) is one of the most common tumors of the digestive tract. Lymph node metastasis (LNM) is a well-established prognostic factor for COAD. The mechanism of COAD lymph node metastasis in immunology remains unknown. The identification of LNM-related biomarkers of COAD could help in its treatment. Thus, the current study was aimed to identify key genes and construct a prognostic signature. METHODS: Gene expression and clinical data were obtained from The Cancer Genome Atlas (TCGA) database. Differentially expressed genes were calculated by using R software. GO functional and KEGG pathway enrichment analysis were processed. The CIBERSORT algorithm was used to assess immune cell infiltration. STRING database was used to screen key genes and constructed a protein-protein interaction network (PPI network). The LASSO-Cox regression analysis was performed based on the components of the PPI network. The correlation analysis between LNM-related signature and immune infiltrating cells was then investigated. TISIDB was used to explore the correlation between the abundance of immunomodulators and the expression of the inquired gene. RESULTS: In total, 394 differentially expressed genes were identified. After constructing and analyzing the PPI network, 180 genes were entered into the LASSO-Cox regression model, constructing a gene signature. Five genes(PMCH, LRP2, NAT1, NKAIN4, and CD1B) were identified as LNM-related genes of clinical value. Correlation analysis revealed that LRP2 and T follicular helper cells (R=0.34, P=0.0019) and NKAIN4 and T follicular helper cells (R=0.23, P=0.041) had significant correlations. Immunologic analysis revealed that LRP2 and NKAIN4 are potential coregulators of immune checkpoints in COAD. CONCLUSION: In general, this study revealed the key genes related to lymph node metastasis and prognostic signature. Several potential mechanisms and therapeutic and prognostic targets of lymph node metastasis were also demonstrated in COAD. Frontiers Media S.A. 2023-01-16 /pmc/articles/PMC9884978/ /pubmed/36727052 http://dx.doi.org/10.3389/fonc.2022.907464 Text en Copyright © 2023 Zhang, Zhao, Zhu and Ye https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Oncology
Zhang, Haoxiang
Zhao, Guibin
Zhu, Guangwei
Ye, Jianxin
Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma
title Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma
title_full Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma
title_fullStr Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma
title_full_unstemmed Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma
title_short Identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma
title_sort identification of lymph node metastasis-related genes and patterns of immune infiltration in colon adenocarcinoma
topic Oncology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9884978/
https://www.ncbi.nlm.nih.gov/pubmed/36727052
http://dx.doi.org/10.3389/fonc.2022.907464
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