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Williams MJ, Oliphant MU, Au V, Liu C, Baril C, O'Flanagan C, Lai D, Beatty S, Van Vliet M, Yiu JC, O'Connor L, Goh WL, Pollaci A, Weiner AC, Grewal D, McPherson A, Moore M, Prabhakar V, Agarwal S, Garber JE, Dillon D, Shah SP, Brugge J, Aparicio S. Luminal breast epithelial cells from wildtype and BRCA mutation carriers harbor copy number alterations commonly associated with breast cancer. BIORXIV : THE PREPRINT SERVER FOR BIOLOGY 2024:2024.05.01.591587. [PMID: 38746396 PMCID: PMC11092623 DOI: 10.1101/2024.05.01.591587] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2024]
Abstract
Cancer-associated mutations have been documented in normal tissues, but the prevalence and nature of somatic copy number alterations and their role in tumor initiation and evolution is not well understood. Here, using single cell DNA sequencing, we describe the landscape of CNAs in >42,000 breast epithelial cells from women with normal or high risk of developing breast cancer. Accumulation of individual cells with one or two of a specific subset of CNAs (e.g. 1q gain and 16q, 22q, 7q, and 10q loss) is detectable in almost all breast tissues and, in those from BRCA1 or BRCA2 mutations carriers, occurs prior to loss of heterozygosity (LOH) of the wildtype alleles. These CNAs, which are among the most common associated with ductal carcinoma in situ (DCIS) and malignant breast tumors, are enriched almost exclusively in luminal cells not basal myoepithelial cells. Allele-specific analysis of the enriched CNAs reveals that each allele was independently altered, demonstrating convergent evolution of these CNAs in an individual breast. Tissues from BRCA1 or BRCA2 mutation carriers contain a small percentage of cells with extreme aneuploidy, featuring loss of TP53 , LOH of BRCA1 or BRCA2 , and multiple breast cancer-associated CNAs in addition to one or more of the common CNAs in 1q, 10q or 16q. Notably, cells with intermediate levels of CNAs are not detected, arguing against a stepwise gradual accumulation of CNAs. Overall, our findings demonstrate that chromosomal alterations in normal breast epithelium partially mirror those of established cancer genomes and are chromosome- and cell lineage-specific.
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2
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Nishimura T, Kakiuchi N, Yoshida K, Sakurai T, Kataoka TR, Kondoh E, Chigusa Y, Kawai M, Sawada M, Inoue T, Takeuchi Y, Maeda H, Baba S, Shiozawa Y, Saiki R, Nakagawa MM, Nannya Y, Ochi Y, Hirano T, Nakagawa T, Inagaki-Kawata Y, Aoki K, Hirata M, Nanki K, Matano M, Saito M, Suzuki E, Takada M, Kawashima M, Kawaguchi K, Chiba K, Shiraishi Y, Takita J, Miyano S, Mandai M, Sato T, Takeuchi K, Haga H, Toi M, Ogawa S. Evolutionary histories of breast cancer and related clones. Nature 2023; 620:607-614. [PMID: 37495687 PMCID: PMC10432280 DOI: 10.1038/s41586-023-06333-9] [Citation(s) in RCA: 15] [Impact Index Per Article: 15.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/04/2022] [Accepted: 06/15/2023] [Indexed: 07/28/2023]
Abstract
Recent studies have documented frequent evolution of clones carrying common cancer mutations in apparently normal tissues, which are implicated in cancer development1-3. However, our knowledge is still missing with regard to what additional driver events take place in what order, before one or more of these clones in normal tissues ultimately evolve to cancer. Here, using phylogenetic analyses of multiple microdissected samples from both cancer and non-cancer lesions, we show unique evolutionary histories of breast cancers harbouring der(1;16), a common driver alteration found in roughly 20% of breast cancers. The approximate timing of early evolutionary events was estimated from the mutation rate measured in normal epithelial cells. In der(1;16)(+) cancers, the derivative chromosome was acquired from early puberty to late adolescence, followed by the emergence of a common ancestor by the patient's early 30s, from which both cancer and non-cancer clones evolved. Replacing the pre-existing mammary epithelium in the following years, these clones occupied a large area within the premenopausal breast tissues by the time of cancer diagnosis. Evolution of multiple independent cancer founders from the non-cancer ancestors was common, contributing to intratumour heterogeneity. The number of driver events did not correlate with histology, suggesting the role of local microenvironments and/or epigenetic driver events. A similar evolutionary pattern was also observed in another case evolving from an AKT1-mutated founder. Taken together, our findings provide new insight into how breast cancer evolves.
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Affiliation(s)
- Tomomi Nishimura
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Next-generation Clinical Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Nobuyuki Kakiuchi
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- The Hakubi Center for Advanced Research, Kyoto University, Kyoto, Japan
- Department of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenichi Yoshida
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Division of Cancer Evolution, National Cancer Center Research Institute, Tokyo, Japan
| | - Takaki Sakurai
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
- Department of Diagnostic Pathology, Osaka Red Cross Hospital, Osaka, Japan
| | - Tatsuki R Kataoka
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
- Department of Pathology, Iwate Medical University, Iwate, Japan
| | - Eiji Kondoh
- Department of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Obstetrics and Gynecology Faculty of Life Sciences, Kumamoto University, Kumamoto, Japan
| | - Yoshitsugu Chigusa
- Department of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiko Kawai
- Department of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | | | | | - Yasuhide Takeuchi
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - Hirona Maeda
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - Satoko Baba
- Pathology Project for Molecular Targets, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
- Division of Pathology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
- Department of Pathology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Yusuke Shiozawa
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Ryunosuke Saiki
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiro M Nakagawa
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Next-generation Clinical Genomic Medicine, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Yasuhito Nannya
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Division of Hematopoietic Disease Control, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Yotaro Ochi
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Tomonori Hirano
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Gastroenterology and Hepatology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Tomoe Nakagawa
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan
| | - Yukiko Inagaki-Kawata
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kosuke Aoki
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiro Hirata
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - Kosaku Nanki
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
| | - Mami Matano
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
| | - Megumu Saito
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
- Osaka Research Center for Drug Discovery, Otsuka Pharmaceutical Company, Limited, Osaka, Japan
| | - Eiji Suzuki
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
- Breast Surgery Department, Kobe City Medical Center General Hospital, Hyogo, Japan
| | - Masahiro Takada
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Masahiro Kawashima
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kosuke Kawaguchi
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Kenichi Chiba
- Division of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Yuichi Shiraishi
- Division of Genome Analysis Platform Development, National Cancer Center Research Institute, Tokyo, Japan
| | - Junko Takita
- Department of Pediatrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Satoru Miyano
- Department of Integrated Analytics, M&D Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan
- Human Genome Center, The Institute of Medical Science, The University of Tokyo, Tokyo, Japan
| | - Masaki Mandai
- Department of Gynecology and Obstetrics, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Toshiro Sato
- Department of Organoid Medicine, Sakaguchi Laboratory, Keio University School of Medicine, Tokyo, Japan
| | - Kengo Takeuchi
- Pathology Project for Molecular Targets, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
- Division of Pathology, Cancer Institute, Japanese Foundation for Cancer Research, Tokyo, Japan
- Department of Pathology, Cancer Institute Hospital, Japanese Foundation for Cancer Research, Tokyo, Japan
| | - Hironori Haga
- Department of Diagnostic Pathology, Kyoto University Hospital, Kyoto, Japan
| | - Masakazu Toi
- Department of Breast Surgery, Graduate School of Medicine, Kyoto University, Kyoto, Japan
| | - Seishi Ogawa
- Department of Pathology and Tumour Biology, Graduate School of Medicine, Kyoto University, Kyoto, Japan.
- Institute for the Advanced Study of Human Biology (WPI-ASHBi), Kyoto University, Kyoto, Japan.
- Department of Medicine, Centre for Haematology and Regenerative Medicine, Karolinska Institute, Stockholm, Sweden.
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Lee JJK, Jung YL, Cheong TC, Espejo Valle-Inclan J, Chu C, Gulhan DC, Ljungström V, Jin H, Viswanadham VV, Watson EV, Cortés-Ciriano I, Elledge SJ, Chiarle R, Pellman D, Park PJ. ERα-associated translocations underlie oncogene amplifications in breast cancer. Nature 2023; 618:1024-1032. [PMID: 37198482 PMCID: PMC10307628 DOI: 10.1038/s41586-023-06057-w] [Citation(s) in RCA: 23] [Impact Index Per Article: 23.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2021] [Accepted: 04/05/2023] [Indexed: 05/19/2023]
Abstract
Focal copy-number amplification is an oncogenic event. Although recent studies have revealed the complex structure1-3 and the evolutionary trajectories4 of oncogene amplicons, their origin remains poorly understood. Here we show that focal amplifications in breast cancer frequently derive from a mechanism-which we term translocation-bridge amplification-involving inter-chromosomal translocations that lead to dicentric chromosome bridge formation and breakage. In 780 breast cancer genomes, we observe that focal amplifications are frequently connected to each other by inter-chromosomal translocations at their boundaries. Subsequent analysis indicates the following model: the oncogene neighbourhood is translocated in G1 creating a dicentric chromosome, the dicentric chromosome is replicated, and as dicentric sister chromosomes segregate during mitosis, a chromosome bridge is formed and then broken, with fragments often being circularized in extrachromosomal DNAs. This model explains the amplifications of key oncogenes, including ERBB2 and CCND1. Recurrent amplification boundaries and rearrangement hotspots correlate with oestrogen receptor binding in breast cancer cells. Experimentally, oestrogen treatment induces DNA double-strand breaks in the oestrogen receptor target regions that are repaired by translocations, suggesting a role of oestrogen in generating the initial translocations. A pan-cancer analysis reveals tissue-specific biases in mechanisms initiating focal amplifications, with the breakage-fusion-bridge cycle prevalent in some and the translocation-bridge amplification in others, probably owing to the different timing of DNA break repair. Our results identify a common mode of oncogene amplification and propose oestrogen as its mechanistic origin in breast cancer.
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Affiliation(s)
- Jake June-Koo Lee
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA.
- Department of Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
| | - Youngsook Lucy Jung
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Division of Genetics and Genomics, Boston Children's Hospital, Boston, MA, USA
| | - Taek-Chin Cheong
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
| | | | - Chong Chu
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Doga C Gulhan
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
| | - Viktor Ljungström
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | - Hu Jin
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA
| | | | - Emma V Watson
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Department of Systems Biology, University of Massachusetts Chan Medical School, Worcester, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
| | - Isidro Cortés-Ciriano
- European Molecular Biology Laboratory, European Bioinformatics Institute, Hinxton, UK
| | - Stephen J Elledge
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
- Department of Genetics, Harvard Medical School, Boston, MA, USA
- Division of Genetics, Department of Medicine, Brigham and Women's Hospital, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
| | - Roberto Chiarle
- Department of Pathology, Boston Children's Hospital and Harvard Medical School, Boston, MA, USA
- Department of Molecular Biotechnology and Health Sciences, University of Torino, Torino, Italy
| | - David Pellman
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA
- Howard Hughes Medical Institute, Chevy Chase, MD, USA
- Department of Cell Biology, Harvard Medical School, Boston, MA, USA
- Department of Pediatric Oncology, Dana-Farber Cancer Institute, Boston, MA, USA
| | - Peter J Park
- Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.
- Ludwig Center at Harvard, Harvard Medical School, Boston, MA, USA.
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4
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Early Breast Cancer Evolution by Autosomal Broad Copy Number Alterations. Int J Genomics 2022; 2022:9332922. [PMID: 35252434 PMCID: PMC8896957 DOI: 10.1155/2022/9332922] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2021] [Accepted: 02/08/2022] [Indexed: 12/13/2022] Open
Abstract
The availability of comprehensive genomic datasets across patient populations enables the application of novel methods for reconstructing tumor evolution within individual patients. To this end, we propose studying autosomal broad copy number alterations (CNAs) as a framework to better understand early tumor evolution. We compared the broad CNAs and somatic mutations of patients with 1 to 10 autosomal broad CNAs against the full set of patients, using data from The Cancer Genome Atlas breast cancer project. We reveal here that the frequency of a chromosome arm obtaining a broad CNA and a genome acquiring somatic mutations changes as autosomal broad CNAs accumulate. Therefore, we propose that the number of autosomal broad CNAs is an important characteristic of breast tumors that needs to be taken into consideration when studying breast tumors. To investigate this idea more in-depth, we next studied the frequency that specific chromosome arms acquire broad CNAs in patients with 1 to 10 broad CNAs. With this process, we identified the broad CNAs that exhibit the fastest rates of accumulation across all patients. This finding suggests a likely order of occurrence of these alterations in patients, which is apparent when we consider a subset of patients with few broad CNAs. Here, we lay the foundation for future studies to build upon our findings and use autosomal broad CNAs as a method to monitor breast tumor progression in vivo to further our understanding of how early tumor evolution unfolds.
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Privitera AP, Barresi V, Condorelli DF. Aberrations of Chromosomes 1 and 16 in Breast Cancer: A Framework for Cooperation of Transcriptionally Dysregulated Genes. Cancers (Basel) 2021; 13:1585. [PMID: 33808143 PMCID: PMC8037453 DOI: 10.3390/cancers13071585] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/17/2021] [Revised: 03/21/2021] [Accepted: 03/24/2021] [Indexed: 12/13/2022] Open
Abstract
Derivative chromosome der(1;16), isochromosome 1q, and deleted 16q-producing arm-level 1q-gain and/or 16q-loss-are recurrent cytogenetic abnormalities in breast cancer, but their exact role in determining the malignant phenotype is still largely unknown. We exploited The Cancer Genome Atlas (TCGA) data to generate and analyze groups of breast invasive carcinomas, called 1,16-chromogroups, that are characterized by a pattern of arm-level somatic copy number aberrations congruent with known cytogenetic aberrations of chromosome 1 and 16. Substantial differences were found among 1,16-chromogroups in terms of other chromosomal aberrations, aneuploidy scores, transcriptomic data, single-point mutations, histotypes, and molecular subtypes. Breast cancers with a co-occurrence of 1q-gain and 16q-loss can be distinguished in a "low aneuploidy score" group, congruent to der(1;16), and a "high aneuploidy score" group, congruent to the co-occurrence of isochromosome 1q and deleted 16q. Another three groups are formed by cancers showing separately 1q-gain or 16q-loss or no aberrations of 1q and 16q. Transcriptome comparisons among the 1,16-chromogroups, integrated with functional pathway analysis, suggested the cooperation of overexpressed 1q genes and underexpressed 16q genes in the genesis of both ductal and lobular carcinomas, thus highlighting the putative role of genes encoding gamma-secretase subunits (APH1A, PSEN2, and NCSTN) and Wnt enhanceosome components (BCL9 and PYGO2) in 1q, and the glycoprotein E-cadherin (CDH1), the E3 ubiquitin-protein ligase WWP2, the deubiquitinating enzyme CYLD, and the transcription factor CBFB in 16q. The analysis of 1,16-chromogroups is a strategy with far-reaching implications for the selection of cancer cell models and novel experimental therapies.
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Affiliation(s)
| | - Vincenza Barresi
- Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Via S. Sofia 89-97, 95123 Catania, Italy;
| | - Daniele Filippo Condorelli
- Department of Biomedical and Biotechnological Sciences, Section of Medical Biochemistry, University of Catania, Via S. Sofia 89-97, 95123 Catania, Italy;
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Vargas-Rondón N, Villegas VE, Rondón-Lagos M. The Role of Chromosomal Instability in Cancer and Therapeutic Responses. Cancers (Basel) 2017; 10:cancers10010004. [PMID: 29283387 PMCID: PMC5789354 DOI: 10.3390/cancers10010004] [Citation(s) in RCA: 102] [Impact Index Per Article: 14.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2017] [Revised: 12/22/2017] [Accepted: 12/25/2017] [Indexed: 12/31/2022] Open
Abstract
Cancer is one of the leading causes of death, and despite increased research in recent years, control of advanced-stage disease and optimal therapeutic responses remain elusive. Recent technological improvements have increased our understanding of human cancer as a heterogeneous disease. For instance, four hallmarks of cancer have recently been included, which in addition to being involved in cancer development, could be involved in therapeutic responses and resistance. One of these hallmarks is chromosome instability (CIN), a source of genetic variation in either altered chromosome number or structure. CIN has become a hot topic in recent years, not only for its implications in cancer diagnostics and prognostics, but also for its role in therapeutic responses. Chromosomal alterations are mainly used to determine genetic heterogeneity in tumors, but CIN could also reveal treatment efficacy, as many therapies are based on increasing CIN, which causes aberrant cells to undergo apoptosis. However, it should be noted that contradictory findings on the implications of CIN for the therapeutic response have been reported, with some studies associating high CIN with a better therapeutic response and others associating it with therapeutic resistance. Considering these observations, it is necessary to increase our understanding of the role CIN plays not only in tumor development, but also in therapeutic responses. This review focuses on recent studies that suggest possible mechanisms and consequences of CIN in different disease types, with a primary focus on cancer outcomes and therapeutic responses.
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Affiliation(s)
- Natalia Vargas-Rondón
- School of Biological Sciences, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia.
| | - Victoria E Villegas
- Biology Program, Faculty of Natural Sciences and Mathematics, Universidad del Rosario, Bogotá 111221, Colombia.
| | - Milena Rondón-Lagos
- School of Biological Sciences, Universidad Pedagógica y Tecnológica de Colombia, Tunja 150003, Colombia.
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7
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Russnes HG, Lingjærde OC, Børresen-Dale AL, Caldas C. Breast Cancer Molecular Stratification: From Intrinsic Subtypes to Integrative Clusters. THE AMERICAN JOURNAL OF PATHOLOGY 2017; 187:2152-2162. [PMID: 28733194 DOI: 10.1016/j.ajpath.2017.04.022] [Citation(s) in RCA: 159] [Impact Index Per Article: 22.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/23/2017] [Revised: 04/19/2017] [Accepted: 04/27/2017] [Indexed: 02/08/2023]
Abstract
Breast carcinomas can be stratified into different entities based on clinical behavior, histologic features, and/or by biological properties. A classification of breast cancer should be based on underlying biology, which we know must be determined by the somatic genomic landscape of mutations. Moreover, because the latest generations of anticancer agents are founded on biological mechanisms, a detailed molecular stratification is a requirement for appropriate clinical management. Such stratification, based on genomic drivers, will be important for selecting patients for clinical trials. It will also facilitate the discovery of novel drivers, the study of tumor evolution, and the identification of mechanisms of treatment resistance. Assays for risk stratification have focused mainly on response prediction to existing treatment regimens. Molecular stratification based on gene expression profiling revealed that breast cancers could be classified in so-called intrinsic subtypes (luminal A and B, HER2-enriched, basal-like, and normal-like), which mostly corresponded to hormone receptor and HER2 status, and further stratified luminal tumors based on proliferation. The realization that a significant proportion of the gene expression landscape is determined by the somatic copy number alterations that drive expression in cis led to the newer classification of breast cancers into integrative clusters. This stratification of breast cancers into integrative clusters reveals prototypical patterns of single-nucleotide variants and is associated with distinct clinical courses and response to therapy.
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Affiliation(s)
- Hege G Russnes
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway; Department of Pathology, Oslo University Hospital Radiumhospitalet, Oslo, Norway
| | - Ole Christian Lingjærde
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway; Department of Computer Science, University of Oslo, Oslo, Norway
| | - Anne-Lise Børresen-Dale
- Department of Cancer Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, Oslo, Norway; Department of Medicine, University of Oslo, Oslo, Norway
| | - Carlos Caldas
- Department of Oncology, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, University of Cambridge, Cambridge, United Kingdom.
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8
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Zhou X, Zhang J, Yun H, Shi R, Wang Y, Wang W, Lagercrantz SB, Mu K. Alterations of biomarker profiles after neoadjuvant chemotherapy in breast cancer: tumor heterogeneity should be taken into consideration. Oncotarget 2017; 6:36894-902. [PMID: 26384297 PMCID: PMC4742218 DOI: 10.18632/oncotarget.5050] [Citation(s) in RCA: 28] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/31/2015] [Accepted: 08/25/2015] [Indexed: 01/24/2023] Open
Abstract
Tumor biomarkers including estrogen receptor (ER), progesterone receptor (PR), human epidermal growth factor receptor 2 (HER2) and Ki-67 are routinely tested in breast cancer patients and their status guides clinical management and predicts prognosis. A few retrospective studies have suggested that neoadjuvant chemotherapy (NAC) in breast cancer may change the status of biomarker expression, which in turn will affect further management of these patients. In this study we take advantage of a relatively large cohort and aim to study the effect of NAC on biomarker expression and explore the impact of tumor size and lymph node involvement on biomarker status changes. We collected 107 patients with invasive breast cancer who received at least three cycles of NAC. We retrospectively performed and scored the immunohistochemistry (IHC) of ER, PR, HER2 and Ki-67 using both the diagnostic core biopsies before NAC and excisional specimens following NAC. HER2 gene status was assessed by fluorescence in situ hybridization for cases with IHC result of 2+. We demonstrated that there was a significant decrease in expression of PR (P = 0.013) and Ki-67 (P = 0.000) in post-NAC specimens compared to pre-NAC core biopsies. In addition, cases with large tumor size (≥2cm) and cases with lymph node metastasis were more frequently to have biomarker changes. Finally we studied cases with HER2 status changes after NAC treatments in detail and emphasized the nature of tumor heterogeneity.
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Affiliation(s)
- Xingchen Zhou
- Department of Pathology, Shandong University School of Medicine, Jinan 250012, China
| | - Junyong Zhang
- Department of Gastroenterology, Provincial Hospital Affiliated to Shandong University, Jinan 250021, China
| | - Haiqin Yun
- Department of Pathology, Shandong University School of Medicine, Jinan 250012, China
| | - Ranran Shi
- Department of Pathology, Shandong University School of Medicine, Jinan 250012, China
| | - Yan Wang
- Department of Pathology, Shandong University School of Medicine, Jinan 250012, China
| | - Wei Wang
- Department of Hematopathology, The University of Texas MD Anderson Cancer Center, Houston, Texas 77030, USA
| | - Svetlana Bajalica Lagercrantz
- Department of Oncology-Pathology, Karolinska Institutet, CCK Karolinska University Hospital, Stockholm SE-171 76, Sweden
| | - Kun Mu
- Department of Pathology, Shandong University School of Medicine, Jinan 250012, China
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