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Genome-wide DNA methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer

BACKGROUND: The efficacy of bevacizumab in non-small cell lung cancer (NSCLC) patients is unsatisfactory, and the selection of suitable patients is still challenging. Given the epigenetic modifications can contribute to an aberrant regulation of angiogenesis and microenvironment, we investigated DNA...

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Autores principales: Li, Butuo, Jiang, Chao, Xu, Yiyue, Fan, Xinyu, Yang, Linlin, Zou, Bing, Fan, Bingjie, Wang, Linlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338664/
https://www.ncbi.nlm.nih.gov/pubmed/35906610
http://dx.doi.org/10.1186/s12885-022-09918-1
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author Li, Butuo
Jiang, Chao
Xu, Yiyue
Fan, Xinyu
Yang, Linlin
Zou, Bing
Fan, Bingjie
Wang, Linlin
author_facet Li, Butuo
Jiang, Chao
Xu, Yiyue
Fan, Xinyu
Yang, Linlin
Zou, Bing
Fan, Bingjie
Wang, Linlin
author_sort Li, Butuo
collection PubMed
description BACKGROUND: The efficacy of bevacizumab in non-small cell lung cancer (NSCLC) patients is unsatisfactory, and the selection of suitable patients is still challenging. Given the epigenetic modifications can contribute to an aberrant regulation of angiogenesis and microenvironment, we investigated DNA methylation profiles to determine clinical benefit of bevacizumab in NSCLC patients. METHODS: Genome-wide DNA methylation profiling was performed in NSCLC patients treated with chemotherapy in combination with bevacizumab. Patients were divided into better prognosis group (A group) and inferior prognosis group (B group) based on their survival. The difference of methylation patterns and respective functional enrichment analysis were performed between two groups. Prognostic DNA methylation signature for bevacizumab was established with the least absolute shrinkage and selection operator regression analyses. TISIDB database was further used to infer immunological relationship for prognostic related DNA methylation. RESULTS: Twenty patients were included in this study, and significantly distinct methylation patterns were observed between patients with different prognosis. Related genes of different methylation regions were significantly enriched in the biological process of cell projection assembly, neutrophil mediated immunity, and pathway of VEGFA-VEGFR2 signaling pathway, neutrophil degranulation. A 10-gene DNA methylation signature for prognosis prediction was established with the C-index of 0.76. And host genes of signature were found to be related to the abundance of ActCD4, Th1, ActCD8, NKT and neutrophil cells. CONCLUSION: The 10-gene DNA methylation signature could serve as a novel biomarker to predict the clinical benefit of bevacizumab therapy and improve this anti-tumor approach for NSCLC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09918-1.
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spelling pubmed-93386642022-07-31 Genome-wide DNA methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer Li, Butuo Jiang, Chao Xu, Yiyue Fan, Xinyu Yang, Linlin Zou, Bing Fan, Bingjie Wang, Linlin BMC Cancer Research BACKGROUND: The efficacy of bevacizumab in non-small cell lung cancer (NSCLC) patients is unsatisfactory, and the selection of suitable patients is still challenging. Given the epigenetic modifications can contribute to an aberrant regulation of angiogenesis and microenvironment, we investigated DNA methylation profiles to determine clinical benefit of bevacizumab in NSCLC patients. METHODS: Genome-wide DNA methylation profiling was performed in NSCLC patients treated with chemotherapy in combination with bevacizumab. Patients were divided into better prognosis group (A group) and inferior prognosis group (B group) based on their survival. The difference of methylation patterns and respective functional enrichment analysis were performed between two groups. Prognostic DNA methylation signature for bevacizumab was established with the least absolute shrinkage and selection operator regression analyses. TISIDB database was further used to infer immunological relationship for prognostic related DNA methylation. RESULTS: Twenty patients were included in this study, and significantly distinct methylation patterns were observed between patients with different prognosis. Related genes of different methylation regions were significantly enriched in the biological process of cell projection assembly, neutrophil mediated immunity, and pathway of VEGFA-VEGFR2 signaling pathway, neutrophil degranulation. A 10-gene DNA methylation signature for prognosis prediction was established with the C-index of 0.76. And host genes of signature were found to be related to the abundance of ActCD4, Th1, ActCD8, NKT and neutrophil cells. CONCLUSION: The 10-gene DNA methylation signature could serve as a novel biomarker to predict the clinical benefit of bevacizumab therapy and improve this anti-tumor approach for NSCLC patients. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12885-022-09918-1. BioMed Central 2022-07-29 /pmc/articles/PMC9338664/ /pubmed/35906610 http://dx.doi.org/10.1186/s12885-022-09918-1 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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
Li, Butuo
Jiang, Chao
Xu, Yiyue
Fan, Xinyu
Yang, Linlin
Zou, Bing
Fan, Bingjie
Wang, Linlin
Genome-wide DNA methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer
title Genome-wide DNA methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer
title_full Genome-wide DNA methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer
title_fullStr Genome-wide DNA methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer
title_full_unstemmed Genome-wide DNA methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer
title_short Genome-wide DNA methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer
title_sort genome-wide dna methylation signature predict clinical benefit of bevacizumab in non-small cell lung cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9338664/
https://www.ncbi.nlm.nih.gov/pubmed/35906610
http://dx.doi.org/10.1186/s12885-022-09918-1
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