Cargando…

CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis

BACKGROUND: Increasing evidence suggests that the metabolism of lipids plays a crucial role in the progression of gastric cancer. However, the expression of lipid metabolism-related genes (LMGs) still does not serve as a prognostic biomarker in gastric cancer. METHODS: We obtained transcriptome data...

Descripción completa

Detalles Bibliográficos
Autores principales: Zhou, Xinyi, Meng, Fanyu, Xiao, Linmei, Shen, Hua
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544546/
https://www.ncbi.nlm.nih.gov/pubmed/37784135
http://dx.doi.org/10.1186/s12920-023-01664-y
_version_ 1785114522994868224
author Zhou, Xinyi
Meng, Fanyu
Xiao, Linmei
Shen, Hua
author_facet Zhou, Xinyi
Meng, Fanyu
Xiao, Linmei
Shen, Hua
author_sort Zhou, Xinyi
collection PubMed
description BACKGROUND: Increasing evidence suggests that the metabolism of lipids plays a crucial role in the progression of gastric cancer. However, the expression of lipid metabolism-related genes (LMGs) still does not serve as a prognostic biomarker in gastric cancer. METHODS: We obtained transcriptome data for 751 LMGs and divided STAD patients into two subtypes based on differences in LMGs expression. Then, we analyzed genetic changes in two subtypes as well as immune features to determine their differences. We also constructed a prognostic risk model related to LMGs for individualized comprehensive evaluations. RESULTS: In this study, two lipid metabolic (LM) subtypes were identified anchored in the expression profiles of LMGs. Clinical information, genomic alterations, immune features, and immunotherapy response varied significantly between the two LM subtypes. A risk model based on LMGs was also developed to assess prognosis and distinguish patients with high risk from those at low risk. The prognosis differed significantly between the two risk groups of patients. In STAD patients, the risk score was strongly correlated with genomic alterations and immune profile scores. Also, the risk score was an excellent predictor of immune checkpoint inhibitors (ICIs) response. Anchored in preliminary results derived from the aforementioned bioinformatic analysis, we chose CYP19A1 as our target gene and the expression of CYP19A1 was verified in several common gastric cancer cell lines. Then, we carried out the Western blotting, CCK-8 assay, colony formation assay, wound healing assay, and transwell assay to explore the effects of CYP19A1 on malignant biological behavior, and positive consequences were obtained. CONCLUSIONS: In this study, STAD patients were divided into two subtypes based on LMGs expression. It is possible to assess the prognosis of a patient and the response to immunotherapy using the established prognostic risk model. A series of basic laboratory experiments also verified the functional role of CYP19A1 in gastric cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01664-y.
format Online
Article
Text
id pubmed-10544546
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher BioMed Central
record_format MEDLINE/PubMed
spelling pubmed-105445462023-10-03 CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis Zhou, Xinyi Meng, Fanyu Xiao, Linmei Shen, Hua BMC Med Genomics Research BACKGROUND: Increasing evidence suggests that the metabolism of lipids plays a crucial role in the progression of gastric cancer. However, the expression of lipid metabolism-related genes (LMGs) still does not serve as a prognostic biomarker in gastric cancer. METHODS: We obtained transcriptome data for 751 LMGs and divided STAD patients into two subtypes based on differences in LMGs expression. Then, we analyzed genetic changes in two subtypes as well as immune features to determine their differences. We also constructed a prognostic risk model related to LMGs for individualized comprehensive evaluations. RESULTS: In this study, two lipid metabolic (LM) subtypes were identified anchored in the expression profiles of LMGs. Clinical information, genomic alterations, immune features, and immunotherapy response varied significantly between the two LM subtypes. A risk model based on LMGs was also developed to assess prognosis and distinguish patients with high risk from those at low risk. The prognosis differed significantly between the two risk groups of patients. In STAD patients, the risk score was strongly correlated with genomic alterations and immune profile scores. Also, the risk score was an excellent predictor of immune checkpoint inhibitors (ICIs) response. Anchored in preliminary results derived from the aforementioned bioinformatic analysis, we chose CYP19A1 as our target gene and the expression of CYP19A1 was verified in several common gastric cancer cell lines. Then, we carried out the Western blotting, CCK-8 assay, colony formation assay, wound healing assay, and transwell assay to explore the effects of CYP19A1 on malignant biological behavior, and positive consequences were obtained. CONCLUSIONS: In this study, STAD patients were divided into two subtypes based on LMGs expression. It is possible to assess the prognosis of a patient and the response to immunotherapy using the established prognostic risk model. A series of basic laboratory experiments also verified the functional role of CYP19A1 in gastric cancer. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12920-023-01664-y. BioMed Central 2023-10-02 /pmc/articles/PMC10544546/ /pubmed/37784135 http://dx.doi.org/10.1186/s12920-023-01664-y 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/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Zhou, Xinyi
Meng, Fanyu
Xiao, Linmei
Shen, Hua
CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis
title CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis
title_full CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis
title_fullStr CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis
title_full_unstemmed CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis
title_short CYP19A1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis
title_sort cyp19a1 promotes gastric cancer as part of a lipid metabolism-related gene signature related to the response of immunotherapy and prognosis
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10544546/
https://www.ncbi.nlm.nih.gov/pubmed/37784135
http://dx.doi.org/10.1186/s12920-023-01664-y
work_keys_str_mv AT zhouxinyi cyp19a1promotesgastriccanceraspartofalipidmetabolismrelatedgenesignaturerelatedtotheresponseofimmunotherapyandprognosis
AT mengfanyu cyp19a1promotesgastriccanceraspartofalipidmetabolismrelatedgenesignaturerelatedtotheresponseofimmunotherapyandprognosis
AT xiaolinmei cyp19a1promotesgastriccanceraspartofalipidmetabolismrelatedgenesignaturerelatedtotheresponseofimmunotherapyandprognosis
AT shenhua cyp19a1promotesgastriccanceraspartofalipidmetabolismrelatedgenesignaturerelatedtotheresponseofimmunotherapyandprognosis