Cargando…

Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment

Rationale: In breast cancer, high intratumor DNA methylation heterogeneity can lead to drug-resistant, metastasis and poor prognosis of tumors, which increases the complexity of cancer diagnosis and treatment. However, most studies are limited to average DNA methylation level of individual CpGs and...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Yihan, Zhang, Yan, Huang, Yan, Chen, Chuangeng, Zhang, Xingda, Xing, Ying, Gu, Yue, Zhang, Mengyan, Cai, Li, Xu, Shouping, Sun, Baoqing
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Ivyspring International Publisher 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977462/
https://www.ncbi.nlm.nih.gov/pubmed/33754068
http://dx.doi.org/10.7150/thno.53737
_version_ 1783667118418427904
author Wang, Yihan
Zhang, Yan
Huang, Yan
Chen, Chuangeng
Zhang, Xingda
Xing, Ying
Gu, Yue
Zhang, Mengyan
Cai, Li
Xu, Shouping
Sun, Baoqing
author_facet Wang, Yihan
Zhang, Yan
Huang, Yan
Chen, Chuangeng
Zhang, Xingda
Xing, Ying
Gu, Yue
Zhang, Mengyan
Cai, Li
Xu, Shouping
Sun, Baoqing
author_sort Wang, Yihan
collection PubMed
description Rationale: In breast cancer, high intratumor DNA methylation heterogeneity can lead to drug-resistant, metastasis and poor prognosis of tumors, which increases the complexity of cancer diagnosis and treatment. However, most studies are limited to average DNA methylation level of individual CpGs and ignore heterogeneous DNA methylation patterns of cell subpopulations within the tumor. Thus, quantifying the variability in DNA methylation pattern in sequencing reads is valuable for understanding intratumor heterogeneity. Methods: We performed Reduced Representation Bisulfite Sequencing and RNA sequencing for tumor core and tumor periphery regions within one breast tumor. By developing a method named “epialleJS” based on Jensen-Shannon divergence, we detected the differential epialleles between tumor core and tumor periphery (CPDEs). We then explored the correlation between intratumor methylation heterogeneity and hypoxic microenvironment in TCGA breast cancer cohort. Results: More than 70% of CPDEs had higher epipolymorphism in tumor core than tumor periphery, and these CPDEs had lower methylation in tumor core. The CPDEs with lower methylation in tumor core may associate with hypoxic tumor microenvironment. Moreover, we identified a signature of five hypoxia-related DNA methylation markers which can predict the prognosis of breast cancer patients, including a CpG site cg15190451 in gene SLC16A5. Furthermore, immunohistochemical analysis confirmed that the expression of SLC16A5 was associated with clinicopathological characteristics and survival of breast cancer patients. Conclusions: The analysis of intratumor DNA methylation heterogeneity based on epialleles reveals that disordered methylation patterns in tumor core are associated with hypoxic microenvironment, which provides a framework for understanding biological heterogeneous behavior and guidance for developing effective treatment schemes for breast cancer patients.
format Online
Article
Text
id pubmed-7977462
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Ivyspring International Publisher
record_format MEDLINE/PubMed
spelling pubmed-79774622021-03-21 Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment Wang, Yihan Zhang, Yan Huang, Yan Chen, Chuangeng Zhang, Xingda Xing, Ying Gu, Yue Zhang, Mengyan Cai, Li Xu, Shouping Sun, Baoqing Theranostics Research Paper Rationale: In breast cancer, high intratumor DNA methylation heterogeneity can lead to drug-resistant, metastasis and poor prognosis of tumors, which increases the complexity of cancer diagnosis and treatment. However, most studies are limited to average DNA methylation level of individual CpGs and ignore heterogeneous DNA methylation patterns of cell subpopulations within the tumor. Thus, quantifying the variability in DNA methylation pattern in sequencing reads is valuable for understanding intratumor heterogeneity. Methods: We performed Reduced Representation Bisulfite Sequencing and RNA sequencing for tumor core and tumor periphery regions within one breast tumor. By developing a method named “epialleJS” based on Jensen-Shannon divergence, we detected the differential epialleles between tumor core and tumor periphery (CPDEs). We then explored the correlation between intratumor methylation heterogeneity and hypoxic microenvironment in TCGA breast cancer cohort. Results: More than 70% of CPDEs had higher epipolymorphism in tumor core than tumor periphery, and these CPDEs had lower methylation in tumor core. The CPDEs with lower methylation in tumor core may associate with hypoxic tumor microenvironment. Moreover, we identified a signature of five hypoxia-related DNA methylation markers which can predict the prognosis of breast cancer patients, including a CpG site cg15190451 in gene SLC16A5. Furthermore, immunohistochemical analysis confirmed that the expression of SLC16A5 was associated with clinicopathological characteristics and survival of breast cancer patients. Conclusions: The analysis of intratumor DNA methylation heterogeneity based on epialleles reveals that disordered methylation patterns in tumor core are associated with hypoxic microenvironment, which provides a framework for understanding biological heterogeneous behavior and guidance for developing effective treatment schemes for breast cancer patients. Ivyspring International Publisher 2021-03-04 /pmc/articles/PMC7977462/ /pubmed/33754068 http://dx.doi.org/10.7150/thno.53737 Text en © The author(s) This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/). See http://ivyspring.com/terms for full terms and conditions.
spellingShingle Research Paper
Wang, Yihan
Zhang, Yan
Huang, Yan
Chen, Chuangeng
Zhang, Xingda
Xing, Ying
Gu, Yue
Zhang, Mengyan
Cai, Li
Xu, Shouping
Sun, Baoqing
Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment
title Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment
title_full Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment
title_fullStr Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment
title_full_unstemmed Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment
title_short Intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment
title_sort intratumor heterogeneity of breast cancer detected by epialleles shows association with hypoxic microenvironment
topic Research Paper
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7977462/
https://www.ncbi.nlm.nih.gov/pubmed/33754068
http://dx.doi.org/10.7150/thno.53737
work_keys_str_mv AT wangyihan intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT zhangyan intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT huangyan intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT chenchuangeng intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT zhangxingda intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT xingying intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT guyue intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT zhangmengyan intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT caili intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT xushouping intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment
AT sunbaoqing intratumorheterogeneityofbreastcancerdetectedbyepiallelesshowsassociationwithhypoxicmicroenvironment