Genomes and epigenomes of matched normal and tumor breast tissue reveal diverse evolutionary trajectories and tumor-host interactions
Authors
Zhu, B.Tapinos, Avraam
Koka, H.
Yi Lee, P. M.
Zhang, T.
Zhu, W.
Wang, X.
Klein, A.
Lee, D.
Tse, G. M.
Tsang, K. H.
Wu, C.
Hua, M.
Highfill, C. A.
Lenz, P.
Zhou, W.
Wang, D.
Luo, W.
Jones, K.
Hutchinson, A.
Hicks, B.
Garcia-Closas, M.
Chanock, S.
Tse, L. A.
Wedge, David C
Yang, X. R.
Affiliation
Manchester Cancer Research Centre, The University of Manchester, Manchester, UK; NIHR Manchester Biomedical Research Centre, Manchester, UK.Issue Date
2024
Metadata
Show full item recordAbstract
Normal tissues adjacent to the tumor (NATs) may harbor early breast carcinogenesis events driven by field cancerization. Although previous studies have characterized copy-number (CN) and transcriptomic alterations, the evolutionary history of NATs in breast cancer (BC) remains poorly characterized. Utilizing whole-genome sequencing (WGS), methylation profiling, and RNA sequencing (RNA-seq), we analyzed paired germline, NATs, and tumor samples from 43 individuals with BC in Hong Kong (HK). We found that single-nucleotide variants (SNVs) were common in NATs, with one-third of NAT samples exhibiting SNVs in driver genes, many of which were present in paired tumor samples. The most frequently mutated genes in both tumor and NAT samples were PIK3CA, TP53, GATA3, and AKT1. In contrast, large-scale aberrations such as somatic CN alterations (SCNAs) and structural variants (SVs) were rarely detected in NAT samples. We generated phylogenetic trees to investigate the evolutionary history of paired NAT and tumor samples. They could be categorized into tumor only, shared, and multiple-tree groups, the last of which is concordant with non-genetic field cancerization. These groups exhibited distinct genomic and epigenomic characteristics in both NAT and tumor samples. Specifically, NAT samples in the shared-tree group showed higher number of mutations, while NAT samples belonging to the multiple-tree group showed a less inflammatory tumor microenvironment (TME), characterized by a higher proportion of regulatory T cells (Tregs) and lower presence of CD14 cell populations. In summary, our findings highlight the diverse evolutionary history in BC NAT/tumor pairs and the impact of field cancerization and TME in shaping the genomic evolutionary history of tumors.Citation
Zhu B, Tapinos A, Koka H, Yi Lee PM, Zhang T, Zhu W, et al. Genomes and epigenomes of matched normal and tumor breast tissue reveal diverse evolutionary trajectories and tumor-host interactions. American journal of human genetics. 2024 Dec 5;111(12):2773-88. PubMed PMID: 39492056. Pubmed Central PMCID: PMC11639081. Epub 2024/11/04. eng.Journal
American Journal of Human GeneticsDOI
10.1016/j.ajhg.2024.10.005PubMed ID
39492056Additional Links
https://dx.doi.org/10.1016/j.ajhg.2024.10.005Type
ArticleLanguage
enae974a485f413a2113503eed53cd6c53
10.1016/j.ajhg.2024.10.005
Scopus Count
Collections
Related articles
- Whole-genome sequencing of phenotypically distinct inflammatory breast cancers reveals similar genomic alterations to non-inflammatory breast cancers.
- Authors: Li X, Kumar S, Harmanci A, Li S, Kitchen RR, Zhang Y, Wali VB, Reddy SM, Woodward WA, Reuben JM, Rozowsky J, Hatzis C, Ueno NT, Krishnamurthy S, Pusztai L, Gerstein M
- Issue date: 2021 Apr 26
- Inter-tumor genomic heterogeneity of breast cancers: comprehensive genomic profile of primary early breast cancers and relapses.
- Authors: Fumagalli C, Ranghiero A, Gandini S, Corso F, Taormina S, De Camilli E, Rappa A, Vacirca D, Viale G, Guerini-Rocco E, Barberis M
- Issue date: 2020 Oct 15
- Genetic Heterogeneity in Therapy-Naïve Synchronous Primary Breast Cancers and Their Metastases.
- Authors: Ng CKY, Bidard FC, Piscuoglio S, Geyer FC, Lim RS, de Bruijn I, Shen R, Pareja F, Berman SH, Wang L, Pierga JY, Vincent-Salomon A, Viale A, Norton L, Sigal B, Weigelt B, Cottu P, Reis-Filho JS
- Issue date: 2017 Aug 1
- Clinical implications of genomic profiles in metastatic breast cancer with a focus on TP53 and PIK3CA, the most frequently mutated genes.
- Authors: Kim JY, Lee E, Park K, Park WY, Jung HH, Ahn JS, Im YH, Park YH
- Issue date: 2017 Apr 25
- Targeted sequencing reveals the somatic mutation landscape in a Swedish breast cancer cohort.
- Authors: Mathioudaki A, Ljungström V, Melin M, Arendt ML, Nordin J, Karlsson Å, Murén E, Saksena P, Meadows JRS, Marinescu VD, Sjöblom T, Lindblad-Toh K
- Issue date: 2020 Nov 9