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De Marchi T, Pyl PT, Sjöström M, Reinsbach SE, DiLorenzo S, Nystedt B, Tran L, Pekar G, Wärnberg F, Fredriksson I, Malmström P, Fernö M, Malmström L, Malmstöm J, Niméus E. Proteogenomics decodes the evolution of human ipsilateral breast cancer. Commun Biol 2023; 6:139. [PMID: 36732562 PMCID: PMC9894938 DOI: 10.1038/s42003-023-04526-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/06/2022] [Accepted: 01/24/2023] [Indexed: 02/04/2023] Open
Abstract
Ipsilateral breast tumor recurrence (IBTR) is a clinically important event, where an isolated in-breast recurrence is a potentially curable event but associated with an increased risk of distant metastasis and breast cancer death. It remains unclear if IBTRs are associated with molecular changes that can be explored as a resource for precision medicine strategies. Here, we employed proteogenomics to analyze a cohort of 27 primary breast cancers and their matched IBTRs to define proteogenomic determinants of molecular tumor evolution. Our analyses revealed a relationship between hormonal receptors status and proliferation levels resulting in the gain of somatic mutations and copy number. This in turn re-programmed the transcriptome and proteome towards a highly replicating and genomically unstable IBTRs, possibly enhanced by APOBEC3B. In order to investigate the origins of IBTRs, a second analysis that included primaries with no recurrence pinpointed proliferation and immune infiltration as predictive of IBTR. In conclusion, our study shows that breast tumors evolve into different IBTRs depending on hormonal status and proliferation and that immune cell infiltration and Ki-67 are significantly elevated in primary tumors that develop IBTR. These results can serve as a starting point to explore markers to predict IBTR formation and stratify patients for adjuvant therapy.
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Affiliation(s)
- Tommaso De Marchi
- Department of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden.
| | - Paul Theodor Pyl
- grid.452834.c0000 0004 5911 2402Department of Laboratory Medicine, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Lund, Sweden
| | - Martin Sjöström
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden ,grid.266102.10000 0001 2297 6811Department of Radiation Oncology, University of California San Francisco, San Francisco, USA
| | - Susanne Erika Reinsbach
- grid.5371.00000 0001 0775 6028Department of Biology and Biological Engineering, National Bioinformatics Infrastructure Sweden, Science for Life Laboratory, Chalmers University of Technology, Gothenburg, Sweden
| | - Sebastian DiLorenzo
- grid.8993.b0000 0004 1936 9457National Bioinformatics Infrastructure Sweden, Uppsala University, Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala, Sweden
| | - Björn Nystedt
- grid.8993.b0000 0004 1936 9457National Bioinformatics Infrastructure Sweden, Uppsala University, Science for Life Laboratory, Department of Cell and Molecular Biology, Uppsala, Sweden
| | - Lena Tran
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden
| | - Gyula Pekar
- grid.411843.b0000 0004 0623 9987Department of Clinical Sciences, Division of Oncology and Pathology, Lund University, Skåne University Hospital, Lund, Sweden
| | - Fredrik Wärnberg
- grid.8761.80000 0000 9919 9582Department of Surgery, Institute of Clinical Sciences, Sahlgrenska Academy at the University of Gothenburg, Gothenburg, Sweden
| | - Irma Fredriksson
- grid.4714.60000 0004 1937 0626Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden ,grid.24381.3c0000 0000 9241 5705Department of Breast, Endocrine Tumors and Sarcoma, Karolinska University Hospital, Stockholm, Sweden
| | - Per Malmström
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden ,grid.411843.b0000 0004 0623 9987Department of Haematology, Oncology, and Radiation Physics, Skåne University Hospital, Lund, Sweden
| | - Mårten Fernö
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden
| | - Lars Malmström
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Lund, Division of Infection Medicine, Faculty of Medicine, Lund University, Lund, Sweden
| | - Johan Malmstöm
- grid.4514.40000 0001 0930 2361Department of Clinical Sciences Lund, Division of Infection Medicine, Faculty of Medicine, Lund University, Lund, Sweden
| | - Emma Niméus
- Department of Clinical Sciences Lund, Division of Oncology, Lund University, Lund, Sweden. .,Department of Surgery, Skåne University Hospital, Lund, Sweden.
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The clinical relevance of various methods of classifying ipsilateral breast tumour recurrence as either true local recurrence or new primary. Breast Cancer Res Treat 2022; 195:249-262. [PMID: 35939185 DOI: 10.1007/s10549-022-06680-7] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2022] [Accepted: 07/06/2022] [Indexed: 01/12/2023]
Abstract
PURPOSE Describes the relevance of -various classification methods for ipsilateral breast tumour recurrence (IBTR) as either true recurrence (TR) or new primary (NP) on both disease-specific survival (DSS) and distant metastasis-free survival (DMFS). METHOD Two hundred and thirty-four of 4359 women undergoing breast-conserving therapy experienced IBTR. We compared the impact of four known classification methods and two newly created classification methods. RESULTS For three of the methods, a better DSS was observed for NP compared to TR with the hazard ratio (HR) ranging from 0.5 to 0.6. The new Twente method classification, comprising all classification criteria of three known methods, and the new Morphology method, using only morphological criteria, had the best HR and confidence interval with a HR 0.5 (95% CI 0.2-1.0) and a HR 0.5 (95% CI 0.3-1.1), respectively. For DMFS, the HR for NP compared to TR ranged from 0.6 to 0.9 for all six methods. The new Morphology method and the Twente method noted the best HR and confidence intervals with a HR 0.6 (95% CI 0.3-1.1) and a HR 0.6 (95% CI 0.4-1.2), respectively. CONCLUSION IBTR classified as TR or NP has a prognostic value for both DSS and DMFS, but depends on the classification method used. Developing and validating a generally accepted form of classification are imperative for using TR and NP in clinical practice.
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Hannoun-Levi JM, Gutierrez C, Polgar C, Strnad V. Letter comments on: The impact of isolated local recurrence on long-term outcome in early-breast cancer patients after breast-conserving therapy. Eur J Cancer 2021; 159:224-226. [PMID: 34781170 DOI: 10.1016/j.ejca.2021.10.008] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/13/2021] [Accepted: 10/14/2021] [Indexed: 11/19/2022]
Affiliation(s)
- Jean-Michel Hannoun-Levi
- Department of Radiation Oncology, Antoine Lacassagne Cancer Centre, University of Côte D'Azur, Nice, France.
| | - Cristina Gutierrez
- Department of Radiation Oncology, Catalan Institute of Oncology, Barcelona, Spain
| | - Csaba Polgar
- Center of Radiotherapy, National Institute of Oncology, Budapest, Hungary; Department of Oncology, Semmelweis University, Budapest, Hungary
| | - Vratislav Strnad
- Department of Radiation Oncology, Erlangen University Hospital, Erlangen, Germany
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