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Construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients

BACKGROUND: Ovarian metastasis (OM) results in poor survival of gastric cancer (GC) patients. While immunotherapy has emerged as a promising approach for late‐stage GC, validated immune‐related prognostic signatures still remain in need. In this study, we constructed an ovarian metastasis‐ and immun...

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Autores principales: Gao, Jianpeng, Huo, Shiying, Zhang, Yu, Zhao, Zhenxiong, Pan, Hongda, Liu, Xiaowen
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844635/
https://www.ncbi.nlm.nih.gov/pubmed/35621244
http://dx.doi.org/10.1002/cam4.4857
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author Gao, Jianpeng
Huo, Shiying
Zhang, Yu
Zhao, Zhenxiong
Pan, Hongda
Liu, Xiaowen
author_facet Gao, Jianpeng
Huo, Shiying
Zhang, Yu
Zhao, Zhenxiong
Pan, Hongda
Liu, Xiaowen
author_sort Gao, Jianpeng
collection PubMed
description BACKGROUND: Ovarian metastasis (OM) results in poor survival of gastric cancer (GC) patients. While immunotherapy has emerged as a promising approach for late‐stage GC, validated immune‐related prognostic signatures still remain in need. In this study, we constructed an ovarian metastasis‐ and immune‐related prognostic signature (OMIRPS), characterized the molecular and immune features of OMIRPS‐categorized subgroups and predicted their potential response to immunotherapy. METHODS: Three individual cohorts were used to construct and evaluate OMIRPS: RNA‐seq of matched primary GC and OM from Fudan University Shanghai Cancer Center (FUSCC) (discovery cohort, n = 4), The Cancer Genome Atlas (TCGA) (training cohort, n = 544) and GSE84437 (validation cohort, n = 433). Differentially expressed genes (DEGs) identified between primary GC and OM and immune‐related genes (IRGs) from the ImmPort and InnateDB databases were used to identify immune‐related prognostic hub genes, which were further used to construct OMIRPS by using LASSO regression analysis. Prognosis, molecular characteristics, immune features, and differential immunotherapy efficacy between different OMIRPS subgroups were analyzed. RESULTS: Functional analyses of DEGs revealed the significance of immune‐related signatures and pathways in the OM. Immune‐related prognostic hub genes including TNFRSF18, CARD11, BCL11B, NRP1, BNIP3L, and ATF3 were utilized to construct OMIRPS, which was identified as an independent prognostic factor. Comprehensive analyses unveiled the distinctive molecular and immune characteristics of OMIRPS‐high and ‐low subgroup in regard to enriched pathways, mutation rate, tumor mutation burden, microsatellite instability status, infiltrated immune cell, immune exclusion score, and the prediction of immunotherapy efficacy. Additionally, OMIRPS was associated with Immune Subtypes with borderline significance. CONCLUSIONS: RNA‐seq of paired primary and ovarian metastatic tumors unveiled the significance of immune‐related pathways and tumor immune microenvironment in OM. OMIRPS served as a promising biomarker to predict the prognosis of GC patients and distinguish the molecular features, immune characteristics, and efficacy of immunotherapy between different subgroups.
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spelling pubmed-98446352023-01-24 Construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients Gao, Jianpeng Huo, Shiying Zhang, Yu Zhao, Zhenxiong Pan, Hongda Liu, Xiaowen Cancer Med Research Articles BACKGROUND: Ovarian metastasis (OM) results in poor survival of gastric cancer (GC) patients. While immunotherapy has emerged as a promising approach for late‐stage GC, validated immune‐related prognostic signatures still remain in need. In this study, we constructed an ovarian metastasis‐ and immune‐related prognostic signature (OMIRPS), characterized the molecular and immune features of OMIRPS‐categorized subgroups and predicted their potential response to immunotherapy. METHODS: Three individual cohorts were used to construct and evaluate OMIRPS: RNA‐seq of matched primary GC and OM from Fudan University Shanghai Cancer Center (FUSCC) (discovery cohort, n = 4), The Cancer Genome Atlas (TCGA) (training cohort, n = 544) and GSE84437 (validation cohort, n = 433). Differentially expressed genes (DEGs) identified between primary GC and OM and immune‐related genes (IRGs) from the ImmPort and InnateDB databases were used to identify immune‐related prognostic hub genes, which were further used to construct OMIRPS by using LASSO regression analysis. Prognosis, molecular characteristics, immune features, and differential immunotherapy efficacy between different OMIRPS subgroups were analyzed. RESULTS: Functional analyses of DEGs revealed the significance of immune‐related signatures and pathways in the OM. Immune‐related prognostic hub genes including TNFRSF18, CARD11, BCL11B, NRP1, BNIP3L, and ATF3 were utilized to construct OMIRPS, which was identified as an independent prognostic factor. Comprehensive analyses unveiled the distinctive molecular and immune characteristics of OMIRPS‐high and ‐low subgroup in regard to enriched pathways, mutation rate, tumor mutation burden, microsatellite instability status, infiltrated immune cell, immune exclusion score, and the prediction of immunotherapy efficacy. Additionally, OMIRPS was associated with Immune Subtypes with borderline significance. CONCLUSIONS: RNA‐seq of paired primary and ovarian metastatic tumors unveiled the significance of immune‐related pathways and tumor immune microenvironment in OM. OMIRPS served as a promising biomarker to predict the prognosis of GC patients and distinguish the molecular features, immune characteristics, and efficacy of immunotherapy between different subgroups. John Wiley and Sons Inc. 2022-05-27 /pmc/articles/PMC9844635/ /pubmed/35621244 http://dx.doi.org/10.1002/cam4.4857 Text en © 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd. https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research Articles
Gao, Jianpeng
Huo, Shiying
Zhang, Yu
Zhao, Zhenxiong
Pan, Hongda
Liu, Xiaowen
Construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients
title Construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients
title_full Construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients
title_fullStr Construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients
title_full_unstemmed Construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients
title_short Construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients
title_sort construction of ovarian metastasis‐related immune signature predicting prognosis of gastric cancer patients
topic Research Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9844635/
https://www.ncbi.nlm.nih.gov/pubmed/35621244
http://dx.doi.org/10.1002/cam4.4857
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