1
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Sammut SJ, Galson JD, Minter R, Sun B, Chin SF, De Mattos-Arruda L, Finch DK, Schätzle S, Dias J, Rueda OM, Seoane J, Osbourn J, Caldas C, Bashford-Rogers RJM. Predictability of B cell clonal persistence and immunosurveillance in breast cancer. Nat Immunol 2024; 25:916-924. [PMID: 38698238 PMCID: PMC11065701 DOI: 10.1038/s41590-024-01821-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2024] [Accepted: 03/15/2024] [Indexed: 05/05/2024]
Abstract
B cells and T cells are important components of the adaptive immune system and mediate anticancer immunity. The T cell landscape in cancer is well characterized, but the contribution of B cells to anticancer immunosurveillance is less well explored. Here we show an integrative analysis of the B cell and T cell receptor repertoire from individuals with metastatic breast cancer and individuals with early breast cancer during neoadjuvant therapy. Using immune receptor, RNA and whole-exome sequencing, we show that both B cell and T cell responses seem to coevolve with the metastatic cancer genomes and mirror tumor mutational and neoantigen architecture. B cell clones associated with metastatic immunosurveillance and temporal persistence were more expanded and distinct from site-specific clones. B cell clonal immunosurveillance and temporal persistence are predictable from the clonal structure, with higher-centrality B cell antigen receptors more likely to be detected across multiple metastases or across time. This predictability was generalizable across other immune-mediated disorders. This work lays a foundation for prioritizing antibody sequences for therapeutic targeting in cancer.
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MESH Headings
- Humans
- Female
- Breast Neoplasms/immunology
- B-Lymphocytes/immunology
- Immunologic Surveillance
- Receptors, Antigen, T-Cell/genetics
- Receptors, Antigen, T-Cell/immunology
- Receptors, Antigen, T-Cell/metabolism
- Receptors, Antigen, B-Cell/metabolism
- Receptors, Antigen, B-Cell/genetics
- Receptors, Antigen, B-Cell/immunology
- T-Lymphocytes/immunology
- Monitoring, Immunologic
- Exome Sequencing
- Antigens, Neoplasm/immunology
- Neoplasm Metastasis
- Clone Cells
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Affiliation(s)
- Stephen-John Sammut
- Breast Cancer Now Toby Robins Research Centre, The Institute of Cancer Research, London, UK.
- The Royal Marsden Hospital NHS Foundation Trust, London, UK.
| | | | | | - Bo Sun
- Wellcome Centre for Human Genetics, Oxford, UK
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, UK
| | - Suet-Feung Chin
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge, UK
| | - Leticia De Mattos-Arruda
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | | | | | | | - Oscar M Rueda
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Joan Seoane
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Institució Catalana de Recerca i Estudis Avançats (ICREA), Universitat Autònoma de Barcelona (UAB), CIBERONC, Barcelona, Spain
| | | | - Carlos Caldas
- School of Clinical Medicine, University of Cambridge, Cambridge, UK.
| | - Rachael J M Bashford-Rogers
- Wellcome Centre for Human Genetics, Oxford, UK.
- Department of Biochemistry, University of Oxford, Oxford, UK.
- Oxford Cancer Centre, Oxford, UK.
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2
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Desmedt C, Carey LA. Global post-mortem tissue donation programmes to accelerate cancer research. Nat Rev Cancer 2024; 24:289-290. [PMID: 38589555 DOI: 10.1038/s41568-024-00683-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 04/10/2024]
Affiliation(s)
- Christine Desmedt
- Laboratory for Translational Breast Cancer Research, Department of Oncology, KU Leuven, Leuven, Belgium.
| | - Lisa A Carey
- Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, NC, USA
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3
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Carrolo M, Miranda JAI, Vilhais G, Quintela A, Sousa MFE, Costa DA, Pinto FR. Metastatic organotropism: a brief overview. Front Oncol 2024; 14:1358786. [PMID: 38725618 PMCID: PMC11079203 DOI: 10.3389/fonc.2024.1358786] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/03/2024] [Accepted: 04/12/2024] [Indexed: 05/12/2024] Open
Abstract
Organotropism has been known since 1889, yet this vital component of metastasis has predominantly stayed elusive. This mini-review gives an overview of the current understanding of the underlying mechanisms of organotropism and metastases development by focusing on the formation of the pre-metastatic niche, immune defenses against metastases, and genomic alterations associated with organotropism. The particular case of brain metastases is also addressed, as well as the impact of organotropism in cancer therapy. The limited comprehension of the factors behind organotropism underscores the necessity for efficient strategies and treatments to manage metastases.
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Affiliation(s)
| | - João A. I. Miranda
- BioISI – Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
| | | | - António Quintela
- Hematology and Oncology Department, CUF Oncologia, Lisbon, Portugal
| | | | - Diogo Alpuim Costa
- Hematology and Oncology Department, CUF Oncologia, Lisbon, Portugal
- Medical Oncology Department, Hospital de Cascais, Cascais, Portugal
- NOVA Medical School, Faculdade de Ciências Médicas, Lisbon, Portugal
| | - Francisco R. Pinto
- BioISI – Institute for Biosystems and Integrative Sciences, Faculty of Sciences, University of Lisbon, Lisbon, Portugal
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4
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Yoon SM, Bazan JG. Navigating Breast Cancer Oligometastasis and Oligoprogression: Current Landscape and Future Directions. Curr Oncol Rep 2024:10.1007/s11912-024-01529-2. [PMID: 38652425 DOI: 10.1007/s11912-024-01529-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 03/25/2024] [Indexed: 04/25/2024]
Abstract
PURPOSE We examine the potential for curative approaches among metastatic breast cancer (MBC) patients by exploring the recent literature on local ablative therapies like surgery and stereotactic body radiation therapy (SBRT) in patients with oligometastatic (OM) breast cancer. We also cover therapies for MBC patients with oligoprogressive (OP) disease. KEY FINDINGS Surgery and SBRT have been studied for OM and OP breast cancer, mainly in retrospective or non-randomized trials. While many studies demonstrated favorable results, a cooperative study and single-institution trial found no support for surgery/SBRT in OM and OP cases, respectively. CONCLUSION While there is interest in applying local therapies to OM and OP breast cancer, the current randomized data does not back the routine use of surgery or SBRT, particularly when considering the potential for treatment-related toxicities. Future research should refine patient selection through advanced imaging and possibly explore these therapies specifically in patients with hormone receptor-positive or HER2-positive disease.
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Affiliation(s)
- Stephanie M Yoon
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E. Duarte Road, Duarte, CA, 91010, USA
| | - Jose G Bazan
- Department of Radiation Oncology, City of Hope Comprehensive Cancer Center, 1500 E. Duarte Road, Duarte, CA, 91010, USA.
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5
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Blanco-Heredia J, Souza CA, Trincado JL, Gonzalez-Cao M, Gonçalves-Ribeiro S, Gil SR, Pravdyvets D, Cedeño S, Callari M, Marra A, Gazzo AM, Weigelt B, Pareja F, Vougiouklakis T, Jungbluth AA, Rosell R, Brander C, Tresserra F, Reis-Filho JS, Tiezzi DG, de la Iglesia N, Heyn H, De Mattos-Arruda L. Converging and evolving immuno-genomic routes toward immune escape in breast cancer. Nat Commun 2024; 15:1302. [PMID: 38383522 PMCID: PMC10882008 DOI: 10.1038/s41467-024-45292-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/21/2023] [Accepted: 01/19/2024] [Indexed: 02/23/2024] Open
Abstract
The interactions between tumor and immune cells along the course of breast cancer progression remain largely unknown. Here, we extensively characterize multiple sequential and parallel multiregion tumor and blood specimens of an index patient and a cohort of metastatic triple-negative breast cancers. We demonstrate that a continuous increase in tumor genomic heterogeneity and distinct molecular clocks correlated with resistance to treatment, eventually allowing tumors to escape from immune control. TCR repertoire loses diversity over time, leading to convergent evolution as breast cancer progresses. Although mixed populations of effector memory and cytotoxic single T cells coexist in the peripheral blood, defects in the antigen presentation machinery coupled with subdued T cell recruitment into metastases are observed, indicating a potent immune avoidance microenvironment not compatible with an effective antitumor response in lethal metastatic disease. Our results demonstrate that the immune responses against cancer are not static, but rather follow dynamic processes that match cancer genomic progression, illustrating the complex nature of tumor and immune cell interactions.
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Affiliation(s)
- Juan Blanco-Heredia
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Carla Anjos Souza
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Juan L Trincado
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
- Josep Carreras Leukemia Research Institute, Barcelona, Spain
| | | | | | - Sara Ruiz Gil
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
| | | | - Samandhy Cedeño
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
| | - Maurizio Callari
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Antonio Marra
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Andrea M Gazzo
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Britta Weigelt
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Fresia Pareja
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Theodore Vougiouklakis
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Achim A Jungbluth
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Rafael Rosell
- Dexeus Institute of Oncology, Quironsalud Group, Barcelona, Spain
| | - Christian Brander
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- ICREA, Passeig de Lluís Companys, 23, Barcelona, Spain
- Universitat de Vic-Universitat Central de Catalunya, Catalunya, Spain
| | | | - Jorge S Reis-Filho
- Department of Pathology and Laboratory Medicine, Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | - Daniel Guimarães Tiezzi
- Department of Gynecology and Obstetrics - Breast Disease Division and Laboratory for Translational Data Science, Ribeirao Preto Medical School, University of Sao Paulo, Ribeirao Preto, Brazil
- Advanced Research Center in Medicine (CEPAM), Union of the Colleges of the Great Lakes (UNILAGO), São José do Rio Preto, Brazil
| | | | - Holger Heyn
- Centro Nacional de Análisis Genómico (CNAG), Barcelona, Spain
- Omniscope, Barcelona, Spain
| | - Leticia De Mattos-Arruda
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain.
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
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6
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Kim T, Lim H, Jun S, Park J, Lee D, Lee JH, Lee JY, Bang D. Globally shared TCR repertoires within the tumor-infiltrating lymphocytes of patients with metastatic gynecologic cancer. Sci Rep 2023; 13:20485. [PMID: 37993659 PMCID: PMC10665396 DOI: 10.1038/s41598-023-47740-2] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2023] [Accepted: 11/17/2023] [Indexed: 11/24/2023] Open
Abstract
Gynecologic cancer, including ovarian cancer and endometrial cancer, is characterized by morphological and molecular heterogeneity. Germline and somatic testing are available for patients to screen for pathogenic variants in genes such as BRCA1/2. Tissue expression levels of immunogenomic markers such as PD-L1 are also being used in clinical research. The basic therapeutic approach to gynecologic cancer combines surgery with chemotherapy. Immunotherapy, while not yet a mainstream treatment for gynecologic cancers, is advancing, with Dostarlimab recently receiving approval as a treatment for endometrial cancer. The goal remains to harness stimulated immune cells in the bloodstream to eradicate multiple metastases, a feat currently deemed challenging in a typical clinical setting. For the discovery of novel immunotherapy-based tumor targets, tumor-infiltrating lymphocytes (TILs) give a key insight on tumor-related immune activities by providing T cell receptor (TCR) sequences. Understanding the TCR repertoires of TILs in metastatic tissues and the circulation is important from an immunotherapy standpoint, as a subset of T cells in the blood have the potential to help kill tumor cells. To explore the relationship between distant tissue biopsy regions and blood circulation, we investigated the TCR beta chain (TCRβ) in bulk tumor and matched blood samples from 39 patients with gynecologic cancer. We found that the TCR clones of TILs at different tumor sites were globally shared within patients and had high overlap with the TCR clones in peripheral blood.
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Affiliation(s)
- Taehoon Kim
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Hyeonseob Lim
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Soyeong Jun
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Junsik Park
- Department of Obstetrics and Gynecology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Dongin Lee
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea
| | - Ji Hyun Lee
- Department of Clinical Pharmacology and Therapeutics, College of Medicine, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Korea
- Department of Biomedical Science and Technology, Kyung Hee Medical Science Research Institute, Kyung Hee University, 26 Kyungheedae-ro, Dongdaemun-gu, Seoul, 02447, Korea
| | - Jung-Yun Lee
- Department of Obstetrics and Gynecology, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
| | - Duhee Bang
- Department of Chemistry, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, Korea.
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7
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Ranghiero A, Frascarelli C, Cursano G, Pescia C, Ivanova M, Vacirca D, Rappa A, Taormina SV, Barberis M, Fusco N, Rocco EG, Venetis K. Circulating tumour DNA testing in metastatic breast cancer: Integration with tissue testing. Cytopathology 2023; 34:519-529. [PMID: 37640801 DOI: 10.1111/cyt.13295] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/16/2023] [Revised: 07/26/2023] [Accepted: 08/14/2023] [Indexed: 08/31/2023]
Abstract
Breast cancer biomarker profiling predominantly relies on tissue testing (surgical and/or biopsy samples). However, the field of liquid biopsy, particularly the analysis of circulating tumour DNA (ctDNA), has witnessed remarkable progress and continues to evolve rapidly. The incorporation of ctDNA-based testing into clinical practice is creating new opportunities for patients with metastatic breast cancer (MBC). ctDNA offers advantages over conventional tissue analyses, as it reflects tumour heterogeneity and enables multiple serial biopsies in a minimally invasive manner. Thus, it serves as a valuable complement to standard tumour tissues and, in certain instances, may even present a potential alternative approach. In the context of MBC, ctDNA testing proves highly informative in the detection of disease progression, monitoring treatment response, assessing actionable biomarkers, and identifying mechanisms of resistance. Nevertheless, ctDNA does exhibit inherent limitations, including its generally low abundance, necessitating timely blood samplings and rigorous management of the pre-analytical phase. The development of highly sensitive assays and robust bioinformatic tools has paved the way for reliable ctDNA analyses. The time has now come to establish how ctDNA and tissue analyses can be effectively integrated into the diagnostic workflow of MBC to provide patients with the most comprehensive and accurate profiling. In this manuscript, we comprehensively analyse the current methodologies employed in ctDNA analysis and explore the potential benefits arising from the integration of tissue and ctDNA testing for patients diagnosed with MBC.
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Affiliation(s)
- Alberto Ranghiero
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Chiara Frascarelli
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Giulia Cursano
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Carlo Pescia
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- School of Pathology, University of Milan, Milan, Italy
| | - Mariia Ivanova
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Davide Vacirca
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Alessandra Rappa
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | | | - Massimo Barberis
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
| | - Nicola Fusco
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
| | - Elena Guerini Rocco
- Division of Pathology, IEO, European Institute of Oncology IRCCS, Milan, Italy
- Department of Oncology and Hemato-Oncology, University of Milan, Milan, Italy
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8
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Ibragimova MK, Tsyganov MM, Kravtsova EA, Tsydenova IA, Litviakov NV. Organ-Specificity of Breast Cancer Metastasis. Int J Mol Sci 2023; 24:15625. [PMID: 37958607 PMCID: PMC10650169 DOI: 10.3390/ijms242115625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/28/2023] [Revised: 10/20/2023] [Accepted: 10/23/2023] [Indexed: 11/15/2023] Open
Abstract
Breast cancer (BC) remains one of the most common malignancies among women worldwide. Breast cancer shows metastatic heterogeneity with priority to different organs, which leads to differences in prognosis and response to therapy among patients. The main targets for metastasis in BC are the bone, lung, liver and brain. The molecular mechanism of BC organ-specificity is still under investigation. In recent years, the appearance of new genomic approaches has led to unprecedented changes in the understanding of breast cancer metastasis organ-specificity and has provided a new platform for the development of more effective therapeutic agents. This review summarises recent data on molecular organ-specific markers of metastasis as the basis of a possible therapeutic approach in order to improve the diagnosis and prognosis of patients with metastatically heterogeneous breast cancer.
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Affiliation(s)
- Marina K. Ibragimova
- Department of Experimental Oncology, Cancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634009, Russia; (M.M.T.); (E.A.K.); (I.A.T.); (N.V.L.)
- Biological Institute, National Research Tomsk State University, Tomsk 634050, Russia
- Faculty of Medicine and Biology, Siberian State Medical University, Tomsk 634050, Russia
| | - Matvey M. Tsyganov
- Department of Experimental Oncology, Cancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634009, Russia; (M.M.T.); (E.A.K.); (I.A.T.); (N.V.L.)
- Faculty of Medicine and Biology, Siberian State Medical University, Tomsk 634050, Russia
| | - Ekaterina A. Kravtsova
- Department of Experimental Oncology, Cancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634009, Russia; (M.M.T.); (E.A.K.); (I.A.T.); (N.V.L.)
- Biological Institute, National Research Tomsk State University, Tomsk 634050, Russia
| | - Irina A. Tsydenova
- Department of Experimental Oncology, Cancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634009, Russia; (M.M.T.); (E.A.K.); (I.A.T.); (N.V.L.)
- Biological Institute, National Research Tomsk State University, Tomsk 634050, Russia
| | - Nikolai V. Litviakov
- Department of Experimental Oncology, Cancer Research Institute, Tomsk National Research Medical Center of the Russian Academy of Sciences, Tomsk 634009, Russia; (M.M.T.); (E.A.K.); (I.A.T.); (N.V.L.)
- Biological Institute, National Research Tomsk State University, Tomsk 634050, Russia
- Faculty of Medicine and Biology, Siberian State Medical University, Tomsk 634050, Russia
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9
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Ye J, Guo W, Wang C, Egelston CA, D'Apuzzo M, Shankar G, Fakih MG, Lee PP. Peritumoral Immune-suppressive Mechanisms Impede Intratumoral Lymphocyte Infiltration into Colorectal Cancer Liver versus Lung Metastases. CANCER RESEARCH COMMUNICATIONS 2023; 3:2082-2095. [PMID: 37768208 PMCID: PMC10569153 DOI: 10.1158/2767-9764.crc-23-0212] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/10/2023] [Revised: 07/19/2023] [Accepted: 09/13/2023] [Indexed: 09/29/2023]
Abstract
Patients with microsatellite stable (MSS) colorectal cancer with liver metastases are resistant to immune checkpoint inhibitor (ICI) therapy, while about one-third of patients with colorectal cancer without liver metastases, particularly those with lung-only metastases, respond to ICI. We analyzed primary colorectal cancer tumors and major metastatic sites (liver, lung, peritoneal) using multiplex immunofluorescence and whole-slide spatial analyses to identify variations in immune contexture and regional localization within the tumor microenvironment. While levels of T and B cells within peritumoral regions were similar, their levels were significantly lower within the tumor core of liver and peritoneal metastases compared with lung metastases. In contrast, antigen-presenting cells (APC) and APC-T cell interactions were more abundant in all regions of lung metastases. We also identified an abundance of lymphoid aggregates throughout lung metastases, but these were present only within peritumoral regions of liver and peritoneal metastases. Larger lymphoid aggregates consistent with features of tertiary lymphoid structures were observed within or adjacent to primary tumors, but not metastatic lesions. Our findings were validated using NanoString GeoMx DSP, which further showed that liver metastases had higher expression of immune-suppressive markers, while lung metastases showed higher proinflammatory activity and T-cell activation markers. Peritoneal metastases demonstrated higher expression of cancer-associated fibroblast-related proteins and upregulated PD-1/PD-L1 signaling molecules. Our results demonstrate that functional status and spatial distribution of immune cells vary significantly across different metastatic sites. These findings suggest that metastatic site-dependent immune contexture may underlie discordant responses to ICI therapy in patients with MSS colorectal cancer. SIGNIFICANCE Our results demonstrate that functional status and spatial distribution of immune cells vary significantly across different metastatic sites in MSS colorectal cancer. These findings suggest that metastatic site-dependent immune contexture may underlie discordant responses to ICI therapy in patients with MSS colorectal cancer.
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Affiliation(s)
- Jian Ye
- Department of Immuno-Oncology, Beckman Research Institute of the City of Hope, Duarte, California
| | - Weihua Guo
- Department of Immuno-Oncology, Beckman Research Institute of the City of Hope, Duarte, California
| | - Chongkai Wang
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California
| | - Colt A. Egelston
- Department of Immuno-Oncology, Beckman Research Institute of the City of Hope, Duarte, California
| | - Massimo D'Apuzzo
- Department of Pathology, City of Hope National Medical Center, Duarte, California
| | | | - Marwan G. Fakih
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California
| | - Peter P. Lee
- Department of Immuno-Oncology, Beckman Research Institute of the City of Hope, Duarte, California
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10
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Zhang M, Zhang X, Ma T, Wang C, Zhao J, Gu Y, Zhang Y. Precise subtyping reveals immune heterogeneity for hormone receptor-positive breast cancer. Comput Biol Med 2023; 163:107222. [PMID: 37413851 DOI: 10.1016/j.compbiomed.2023.107222] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/03/2023] [Revised: 06/18/2023] [Accepted: 06/30/2023] [Indexed: 07/08/2023]
Abstract
A significant proportion of breast cancer cases are characterized by hormone receptor positivity (HR+). Clinically, the heterogeneity of HR+ breast cancer leads to different therapeutic effects on endocrine. Therefore, definition of subgroups in HR+ breast cancer is important for effective treatment. Here, we have developed a CMBR method utilizing computational functional networks based on DNA methylation to identify conserved subgroups in HR+ breast cancer. Calculated by CMBR, HR+ breast cancer was divided into five subgroups, of which HR+/negative epidermal growth factor receptor-2 (Her2-) was divided into two subgroups, and HR+/positive epidermal growth factor receptor-2 (Her2+) was divided into three subgroups. These subgroups had heterogeneity in the immune microenvironment, tumor infiltrating lymphocyte patterns, somatic mutation patterns and drug sensitivity. Specifically, CMBR identified two subgroups with the "Hot" tumor phenotype. In addition, these conserved subgroups were broadly validated on external validation datasets. CMBR identified the molecular signature of HR+ breast cancer subgroups, providing valuable insights into personalized treatment strategies and management options.
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Affiliation(s)
- Mengyan Zhang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China
| | - Xingda Zhang
- Department of Breast Surgery, Harbin Medical University Cancer Hospital, 150 Haping Road, Harbin, 150081, China
| | - Te Ma
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China
| | - Cong Wang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China
| | - Jiyun Zhao
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China
| | - Yue Gu
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China
| | - Yan Zhang
- School of Life Science and Technology, Harbin Institute of Technology, Harbin, 150001, China; College of Pathology, Qiqihar Medical University, Qiqihar, 161042, China.
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11
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Liu J, West H, McGee HM, Williams TM, Lee P, Amini A. Challenges in synergizing radiotherapy with immunotherapy to unlock the abscopal effect in metastatic NSCLC: A systematic review. Neoplasia 2023; 43:100914. [PMID: 37348427 PMCID: PMC10314288 DOI: 10.1016/j.neo.2023.100914] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/15/2022] [Revised: 11/04/2022] [Accepted: 06/12/2023] [Indexed: 06/24/2023]
Abstract
BACKGROUND With the recent success of immunotherapy, there is a growing interest in combining radiation with immunotherapy to boost abscopal response rates. Several challenges exist in determining how to synergize these two modalities in the treatment of metastatic NSCLC. METHODS References for this review were identified through searches of MEDLINE/PubMed and Clinicaltrials.gov databases with the search terms "abscopal", "radiation OR radiotherapy," "NSCLC", and "lung" on the index date of July 2022 from 2000-2022. This systematic review focuses primarily on clinical papers. DISCUSSION Early work combining radiotherapy with immunotherapy show promise in unlocking the abscopal effect. Preliminary evidence suggests that radiotherapy regimens with <5 fractions and smaller fields may be superior to regimens with 15 fractions and larger fields. There does not appear to be enough evidence to draw conclusions about the optimal timing of radiotherapy in relation to immunotherapy or the optimal anatomical location of radiation to induce the abscopal effect. Several studies suggest selecting patients with a higher absolute lymphocyte count (ALC) and lower neutrophil-to-lymphocyte ratio (NLR) may help to further boost abscopal response rates. Furthermore, selecting tumors with programmed death ligand-1 (PD-L1) expression, mismatch repair deficiency, and higher tumor mutational burden may similarly achieve this goal. Lastly, additional work is needed to minimize and predict for severe toxicity associated with combination therapy.
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Affiliation(s)
- Jason Liu
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, United States
| | - Howard West
- Department of Medical Oncology, City of Hope National Medical Center, Duarte, CA 91010, United States
| | - Heather M McGee
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, United States; Department of Immuno-Oncology, City of Hope National Medical Center, Duarte, CA 91010, United States
| | - Terence M Williams
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, United States
| | - Percy Lee
- Department of Radiation Oncology, City of Hope Orange County, Irvine, CA 92618, United States
| | - Arya Amini
- Department of Radiation Oncology, City of Hope National Medical Center, Duarte, CA 91010, United States.
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12
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Liu K, He S, Sun S, Zhang X, He Y, Quan F, Pang B, Xiao Y. Computational Quantification of Cancer Immunoediting. Cancer Immunol Res 2023; 11:1159-1167. [PMID: 37540180 DOI: 10.1158/2326-6066.cir-22-0926] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/21/2022] [Revised: 03/31/2023] [Accepted: 07/10/2023] [Indexed: 08/05/2023]
Abstract
The remarkable success of cancer immunotherapy has revolutionized cancer treatment, emphasizing the importance of tumor-immune interactions in cancer evolution and treatment. Cancer immunoediting describes the dual effect of tumor-immune interactions: inhibiting tumor growth by destroying tumor cells and facilitating tumor escape by shaping tumor immunogenicity. To better understand tumor-immune interactions, it is critical to develop computational methods to measure the extent of cancer immunoediting. In this review, we provide a comprehensive overview of the computational methods for quantifying cancer immunoediting. We focus on describing the basic ideas, computational processes, advantages, limitations, and influential factors. We also summarize recent advances in quantifying cancer immunoediting studies and highlight future research directions. As the methods for quantifying cancer immunoediting are continuously improved, future research will further help define the role of immunity in tumorigenesis and hopefully provide a basis for the design of new personalized cancer immunotherapy strategies.
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Affiliation(s)
- Kun Liu
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shengyuan He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Shangqin Sun
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Xinxin Zhang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yanzhen He
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Fei Quan
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Bo Pang
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
| | - Yun Xiao
- College of Bioinformatics Science and Technology, Harbin Medical University, Harbin, China
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13
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Lee JE, Kim KT, Shin SJ, Cheong JH, Choi YY. Genomic and evolutionary characteristics of metastatic gastric cancer by routes. Br J Cancer 2023; 129:672-682. [PMID: 37422528 PMCID: PMC10421927 DOI: 10.1038/s41416-023-02338-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/05/2022] [Revised: 06/07/2023] [Accepted: 06/19/2023] [Indexed: 07/10/2023] Open
Abstract
BACKGROUND In gastric cancer (GC) patients, metastatic progression through the lymphatic, hematogenous, peritoneal, and ovarian routes, is the ultimate cause of death. However, the genomic and evolutionary characteristics of metastatic GC have not been widely evaluated. METHODS Whole-exome sequencing data were analyzed for 99 primary and paired metastatic gastric cancers from 15 patients who underwent gastrectomy and metastasectomy. RESULTS Hematogenous metastatic tumors were associated with increased chromosomal instability and de novo gain/amplification in cancer driver genes, whereas peritoneal/ovarian metastasis was linked to sustained chromosomal stability and de novo somatic mutations in driver genes. The genomic distance of the hematogenous and peritoneal metastatic tumors was found to be closer to the primary tumors than lymph node (LN) metastasis, while ovarian metastasis was closer to LN and peritoneal metastasis than the primary tumor. Two migration patterns for metastatic GCs were identified; branched and diaspora. Both molecular subtypes of the metastatic tumors, rather than the primary tumor, and their migration patterns were related to patient survival. CONCLUSIONS Genomic characteristics of metastatic gastric cancer is distinctive by routes and associated with patients' prognosis along with genomic evolution pattenrs, indicating that both primary and metastatic gastric cancers require genomic evaluation.
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Affiliation(s)
- Jae Eun Lee
- Portrai Inc., Seoul, Korea
- Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, South Korea
| | - Ki Tae Kim
- Department of Molecular Genetics & Dental Pharmacology, School of Dentistry, Seoul National University, Seoul, South Korea
- Dental Research Institute and Dental Multi-omics Center, Seoul National University, Seoul, South Korea
| | - Su-Jin Shin
- Department of Pathology, Yonsei University Health System, Yonsei University College of Medicine, Seoul, South Korea
| | - Jae-Ho Cheong
- Department of Surgery, Yonsei University Health System, Yonsei University College of Medicine, Seoul, South Korea.
| | - Yoon Young Choi
- Department of Surgery, Soonchunhyang Bucheon Hospital, Soonchunhyang University College of Medicine, Bucheon, South Korea.
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14
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Rosenberg MI, Greenstein E, Buchkovich M, Peres A, Santoni-Rugiu E, Yang L, Mikl M, Vaksman Z, Gibbs DL, Reshef D, Salovin A, Irwin MS, Naranjo A, Ulitsky I, de Alarcon PA, Matthay KK, Weigman V, Yaari G, Panzer JA, Friedman N, Maris JM. Polyclonal lymphoid expansion drives paraneoplastic autoimmunity in neuroblastoma. Cell Rep 2023; 42:112879. [PMID: 37537844 PMCID: PMC10551040 DOI: 10.1016/j.celrep.2023.112879] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/14/2022] [Revised: 04/25/2023] [Accepted: 07/13/2023] [Indexed: 08/05/2023] Open
Abstract
Neuroblastoma is a lethal childhood solid tumor of developing peripheral nerves. Two percent of children with neuroblastoma develop opsoclonus myoclonus ataxia syndrome (OMAS), a paraneoplastic disease characterized by cerebellar and brainstem-directed autoimmunity but typically with outstanding cancer-related outcomes. We compared tumor transcriptomes and tumor-infiltrating T and B cell repertoires from 38 OMAS subjects with neuroblastoma to 26 non-OMAS-associated neuroblastomas. We found greater B and T cell infiltration in OMAS-associated tumors compared to controls and showed that both were polyclonal expansions. Tertiary lymphoid structures (TLSs) were enriched in OMAS-associated tumors. We identified significant enrichment of the major histocompatibility complex (MHC) class II allele HLA-DOB∗01:01 in OMAS patients. OMAS severity scores were associated with the expression of several candidate autoimmune genes. We propose a model in which polyclonal auto-reactive B lymphocytes act as antigen-presenting cells and drive TLS formation, thereby supporting both sustained polyclonal T cell-mediated anti-tumor immunity and paraneoplastic OMAS neuropathology.
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Affiliation(s)
- Miriam I Rosenberg
- Hebrew University of Jerusalem, Edmond Safra Campus, Givat Ram, Jerusalem 91904, Israel.
| | - Erez Greenstein
- Department of Immunology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | | | - Ayelet Peres
- Bio-engineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel; Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Eric Santoni-Rugiu
- Department of Pathology, Rigshospitalet, Copenhagen University Hospital and Department of Clinical Medicine, University of Copenhagen, 2100 Copenhagen, Denmark
| | - Lei Yang
- Pacific Northwest Research Institute, Seattle, WA 98122, USA
| | - Martin Mikl
- Department of Human Biology, Faculty of Natural Sciences, University of Haifa, Mount Carmel, Haifa 31905, Israel
| | | | - David L Gibbs
- Institute for Systems Biology, 401 Terry Avenue N, Seattle, WA 98109, USA
| | - Dan Reshef
- Department of Immunology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Amy Salovin
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Meredith S Irwin
- Department of Pediatrics and Division of Hematology-Oncology, Hospital for Sick Children, University of Toronto, 555 University Avenue, Toronto, ON M5G1X8, Canada
| | - Arlene Naranjo
- Department of Biostatistics, University of Florida, Children's Oncology Group Statistics & Data Center, Gainesville, FL, USA
| | - Igor Ulitsky
- Department of Immunology & Regenerative Biology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - Pedro A de Alarcon
- Department of Pediatrics, Hematology/Oncology, University of Illinois College of Medicine Peoria, Peoria, IL 61605, USA
| | - Katherine K Matthay
- Department of Pediatrics, UCSF School of Medicine, San Francisco, CA 94143, USA
| | | | - Gur Yaari
- Bio-engineering, Faculty of Engineering, Bar Ilan University, Ramat Gan, Israel; Bar Ilan Institute of Nanotechnologies and Advanced Materials, Bar Ilan University, Ramat Gan, Israel
| | - Jessica A Panzer
- Division of Neurology, Department of Pediatrics, Children's Hospital of Philadelphia, Philadelphia, PA 19104, USA
| | - Nir Friedman
- Department of Immunology, Weizmann Institute of Science, Rehovot 7610001, Israel
| | - John M Maris
- Department of Pediatrics and Division of Oncology, Children's Hospital of Philadelphia and Perelman School of Medicine at the University of Pennsylvania, Philadelphia, PA 19104, USA.
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15
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Chen Y, Dai X, Wang J, Tao C, Wang Y, Zhu Q, Wang Z, Zhang T, Lan Q, Zhao J. Heterogenous profiles between primary lung cancers and paired brain metastases reveal tumor evolution. Front Oncol 2023; 13:1026099. [PMID: 37384291 PMCID: PMC10293929 DOI: 10.3389/fonc.2023.1026099] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/19/2022] [Accepted: 05/30/2023] [Indexed: 06/30/2023] Open
Abstract
Background Brain metastases (BMs) are the most common central nervous system (CNS) malignant tumors, with rapid disease progression and extremely poor prognosis. The heterogeneity between primary lung cancers and BMs leads to the divergent efficacy of the adjuvant therapy response to primary tumors and BMs. However, the extent of heterogeneity between primary lung cancers and BMs, and the evolutionary process remains little known. Methods To deeply insight into the extent of inter-tumor heterogeneity at a single-patient level and the process of these evolutions, we retrospectively analyzed a total of 26 tumor samples from 10 patients with matched primary lung cancers and BMs. One patient underwent four times brain metastatic lesion surgery with diverse locations and one operation for the primary lesion. The genomic and immune heterogeneity between primary lung cancers and BMs were evaluated by utilizing whole-exome sequencing (WESeq) and immunohistochemical analysis. Results In addition to inheriting genomic phenotype and molecular phenotype from the primary lung cancers, massive unique genomic phenotype and molecular phenotype were also observed in BMs, which revealed unimaginable complexity of tumor evolution and extensive heterogeneity among lesions at a single-patient level. By analysis of a multi-metastases case (Case 3) of cancer cells' subclonal composition, we found similar multiple subclonal clusters in the four spatial and temporal isolated brain metastatic focus, with the characteristics of polyclonal dissemination. Our study also verified that the expression level of immune checkpoints-related molecule Programmed Death-Ligand 1 (PD-L1) (P = 0.0002) and the density of tumor-infiltrating lymphocytes (TILs) (P = 0.0248) in BMs were significantly lower than that in paired primary lung cancers. Additionally, tumor microvascular density (MVD) also differed between primary tumors and paired BMs, indicating that temporal and spatial diversity profoundly contributes to the evolution of BMs heterogeneity. Conclusion Our study revealed the significance of temporal and spatial factors to the evolution of tumor heterogeneity by multi-dimensional analysis of matched primary lung cancers and BMs, which also provided novel insight for formulating individualized treatment strategies for BMs.
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Affiliation(s)
- Yanming Chen
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
| | - Xiaoxiao Dai
- Department of Pathology, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Ji Wang
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Chuming Tao
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Ye Wang
- Health Management Center, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Qing Zhu
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Zhongyong Wang
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Tan Zhang
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Qing Lan
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Jizong Zhao
- Department of Neurosurgery, Second Affiliated Hospital of Soochow University, Suzhou, China
- China National Clinical Research Center for Neurological Diseases, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
- Department of Neurosurgery, Beijing Tiantan Hospital, Capital Medical University, Beijing, China
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16
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Hessey S, Fessas P, Zaccaria S, Jamal-Hanjani M, Swanton C. Insights into the metastatic cascade through research autopsies. Trends Cancer 2023; 9:490-502. [PMID: 37059687 DOI: 10.1016/j.trecan.2023.03.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/02/2023] [Revised: 03/05/2023] [Accepted: 03/07/2023] [Indexed: 04/16/2023]
Abstract
Metastasis is a complex process and the leading cause of cancer-related death globally. Recent studies have demonstrated that genomic sequencing data from paired primary and metastatic tumours can be used to trace the evolutionary origins of cells responsible for metastasis. This approach has yielded new insights into the genomic alterations that engender metastatic potential, and the mechanisms by which cancer spreads. Given that the reliability of these approaches is contingent upon how representative the samples are of primary and metastatic tumour heterogeneity, we review insights from studies that have reconstructed the evolution of metastasis within the context of their cohorts and designs. We discuss the role of research autopsies in achieving the comprehensive sampling necessary to advance the current understanding of metastasis.
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Affiliation(s)
- Sonya Hessey
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK; Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Petros Fessas
- Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK
| | - Simone Zaccaria
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Computational Cancer Genomics Research Group, University College London Cancer Institute, London, UK
| | - Mariam Jamal-Hanjani
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Cancer Metastasis Laboratory, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK.
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, London, UK; Department of Oncology, University College London Hospitals, London, UK; Cancer Evolution and Genome Instability Laboratory, The Francis Crick Institute, London, UK.
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17
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Pipek O, Alpár D, Rusz O, Bödör C, Udvarnoki Z, Medgyes-Horváth A, Csabai I, Szállási Z, Madaras L, Kahán Z, Cserni G, Kővári B, Kulka J, Tőkés AM. Genomic Landscape of Normal and Breast Cancer Tissues in a Hungarian Pilot Cohort. Int J Mol Sci 2023; 24:ijms24108553. [PMID: 37239898 DOI: 10.3390/ijms24108553] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/20/2023] [Revised: 04/24/2023] [Accepted: 04/27/2023] [Indexed: 05/28/2023] Open
Abstract
A limited number of studies have focused on the mutational landscape of breast cancer in different ethnic populations within Europe and compared the data with other ethnic groups and databases. We performed whole-genome sequencing of 63 samples from 29 Hungarian breast cancer patients. We validated a subset of the identified variants at the DNA level using the Illumina TruSight Oncology (TSO) 500 assay. Canonical breast-cancer-associated genes with pathogenic germline mutations were CHEK2 and ATM. Nearly all the observed germline mutations were as frequent in the Hungarian breast cancer cohort as in independent European populations. The majority of the detected somatic short variants were single-nucleotide polymorphisms (SNPs), and only 8% and 6% of them were deletions or insertions, respectively. The genes most frequently affected by somatic mutations were KMT2C (31%), MUC4 (34%), PIK3CA (18%), and TP53 (34%). Copy number alterations were most common in the NBN, RAD51C, BRIP1, and CDH1 genes. For many samples, the somatic mutational landscape was dominated by mutational processes associated with homologous recombination deficiency (HRD). Our study, as the first breast tumor/normal sequencing study in Hungary, revealed several aspects of the significantly mutated genes and mutational signatures, and some of the copy number variations and somatic fusion events. Multiple signs of HRD were detected, highlighting the value of the comprehensive genomic characterization of breast cancer patient populations.
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Affiliation(s)
- Orsolya Pipek
- Department of Physics of Complex Systems, Institute of Physics, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Donát Alpár
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, 1085 Budapest, Hungary
| | - Orsolya Rusz
- Department of Pathology, Forensic and Insurance Medicine, SE NAP, Brain Metastasis Research Group, Semmelweis University, 1091 Budapest, Hungary
| | - Csaba Bödör
- HCEMM-SE Molecular Oncohematology Research Group, Department of Pathology and Experimental Cancer Research, Semmelweis University, 1085 Budapest, Hungary
| | - Zoltán Udvarnoki
- Department of Physics of Complex Systems, Institute of Physics, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Anna Medgyes-Horváth
- Department of Physics of Complex Systems, Institute of Physics, Eötvös Loránd University, 1117 Budapest, Hungary
| | - István Csabai
- Department of Physics of Complex Systems, Institute of Physics, Eötvös Loránd University, 1117 Budapest, Hungary
| | - Zoltán Szállási
- Department of Pathology, Forensic and Insurance Medicine, SE NAP, Brain Metastasis Research Group, Semmelweis University, 1091 Budapest, Hungary
- Computational Health Informatics Program (CHIP), Boston Children's Hospital, Harvard Medical School, Boston, MA 02115, USA
- Danish Cancer Society Research Center, 2100 Copenhagen, Denmark
| | - Lilla Madaras
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, 1091 Budapest, Hungary
| | - Zsuzsanna Kahán
- Department of Oncotherapy, University of Szeged, 6720 Szeged, Hungary
| | - Gábor Cserni
- Department of Pathology, Albert Szent-Györgyi Medical Centre, University of Szeged, 6720 Szeged, Hungary
- Department of Pathology, Bács-Kiskun County Teaching Hospital, 6000 Kecskemét, Hungary
| | - Bence Kővári
- Department of Pathology, Albert Szent-Györgyi Medical Centre, University of Szeged, 6720 Szeged, Hungary
- Department of Pathology, Henry Lee Moffitt Cancer Center and Research Institute, Tampa, FL 33612, USA
| | - Janina Kulka
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, 1091 Budapest, Hungary
| | - Anna Mária Tőkés
- Department of Pathology, Forensic and Insurance Medicine, Semmelweis University, 1091 Budapest, Hungary
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18
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Anisetti B, Coston TW, Ahmed AK, Mahadevia HJ, Edgar MA, Starr JS, Babiker HM. An Excellent Response of Microsatellite Instability-High Pancreatic Adenocarcinoma to Pembrolizumab Treatment: The Role of Circulating Tumor DNA Testing. Cureus 2023; 15:e37239. [PMID: 37168199 PMCID: PMC10166407 DOI: 10.7759/cureus.37239] [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] [Accepted: 04/07/2023] [Indexed: 05/13/2023] Open
Abstract
The role of circulating tumor DNA (ctDNA) is expanding in oncology practices, and it is increasingly being used for targeted therapies and disease monitoring. It is minimally invasive and provides data from both primary and secondary sites of disease. Herein, we report a unique case of a patient with microsatellite instability-high (MSI-H) pancreatic adenocarcinoma (PDAC) treated with neoadjuvant chemotherapy and pembrolizumab who achieved a pathologically confirmed complete resolution of the tumor. A 75-year-old female was diagnosed with pancreatic adenocarcinoma (PDAC) in the uncinate process with aortocaval and retrocrural adenopathy. Next-generation sequencing was obtained via ctDNA testing, and the patient was initiated on cytotoxic chemotherapy while awaiting results. ctDNA revealed MSI-H status, and pembrolizumab was added to the cytotoxic chemotherapy regimen. At follow-up after five cycles of treatment, excellent treatment response was noted on magnetic resonance imaging (MRI) of the abdomen, demonstrating the resolution of the pancreatic mass and adenopathy. Six months of neoadjuvant treatment was given in total, after which the patient underwent resection with curative intent and achieved a complete pathological response with no evidence of disease. The role of ctDNA testing in directing treatment and influencing follow-up has already demonstrated great value. In our case, ctDNA adequately replaced conventional tissue biopsy, alleviating the burden of invasive testing on the patient. This is of great value, especially for patients with non-resectable tumors as well as in several other clinical scenarios. Our case also contributes to the growing body of literature demonstrating the role of immune-directed therapy for MSI-H PDAC.
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Affiliation(s)
- Bhrugun Anisetti
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, USA
| | - Tucker W Coston
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, USA
| | - Ahmed K Ahmed
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, USA
| | - Himil J Mahadevia
- Department of Internal Medicine, University of Missouri Kansas City, Kansas City, USA
| | - Mark A Edgar
- Department of Laboratory Medicine and Pathology, Mayo Clinic, Jacksonville, USA
| | - Jason S Starr
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, USA
| | - Hani M Babiker
- Division of Hematology and Medical Oncology, Mayo Clinic, Jacksonville, USA
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The New Frontier of Immunotherapy: Chimeric Antigen Receptor T (CAR-T) Cell and Macrophage (CAR-M) Therapy against Breast Cancer. Cancers (Basel) 2023; 15:cancers15051597. [PMID: 36900394 PMCID: PMC10000829 DOI: 10.3390/cancers15051597] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2022] [Revised: 03/01/2023] [Accepted: 03/03/2023] [Indexed: 03/08/2023] Open
Abstract
Breast cancer represents one of the most common tumor histologies. To date, based on the specific histotype, different therapeutic strategies, including immunotherapies, capable of prolonging survival are used. More recently, the astonishing results that were obtained from CAR-T cell therapy in haematological neoplasms led to the application of this new therapeutic strategy in solid tumors as well. Our article will deal with chimeric antigen receptor-based immunotherapy (CAR-T cell and CAR-M therapy) in breast cancer.
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20
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Tomasik B, Bieńkowski M, Górska Z, Gutowska K, Kumięga P, Jassem J, Duchnowska R. Molecular aspects of brain metastases in breast cancer. Cancer Treat Rev 2023; 114:102521. [PMID: 36736124 DOI: 10.1016/j.ctrv.2023.102521] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2022] [Revised: 01/20/2023] [Accepted: 01/24/2023] [Indexed: 01/29/2023]
Abstract
Brain metastases (BM) are a common and devastating manifestation of breast cancer (BC). BM are particularly frequent in the HER2-positive and triple-negative breast cancer phenotypes and usually occur following the metastatic spread to extracranial sites. Several genes mediating BM and biomarkers predicting their risk in BC have been reported in the past decade. These findings have advanced the understanding of BM pathobiology and paved the way for developing new therapeutic strategies but they still warrant a thorough clinical validation. Hence, a better understanding of the mechanistic aspects of BM and delineating the interactions of tumor cells with the brain microenvironment are of utmost importance. This review discusses the molecular basis of the metastatic cascade: the epithelial-mesenchymal transition, cancer, and tumor microenvironment interaction and intravasation, priming of the metastatic niche in the brain, and survival in the new site. We also outline the postulated mechanisms of BC cells' brain tropism. Finally, we discuss advances in the field of biomarkers (both tissue-based and liquid-based) that predict BM from BC.
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Affiliation(s)
- Bartłomiej Tomasik
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, 17 Smoluchowskiego St., 80-214 Gdansk, Poland.
| | - Michał Bieńkowski
- Department of Pathology, Medical University of Gdańsk, 17 Smoluchowskiego St., 80-214 Gdańsk, Poland.
| | - Zuzanna Górska
- Department of Oncology, Military Institute of Medicine, 128 Szaserów St., 04-141 Warsaw, Poland.
| | - Klaudia Gutowska
- Department of Internal Diseases and Endocrinology, Medical University of Warsaw, 02-091 Warsaw, Poland; Doctoral School, Medical University of Warsaw, 02-091 Warsaw, Poland.
| | - Paulina Kumięga
- Faculty of Medicine, Medical University of Warsaw, 02-091 Warsaw, Poland.
| | - Jacek Jassem
- Department of Oncology and Radiotherapy, Medical University of Gdańsk, 17 Smoluchowskiego St., 80-214 Gdansk, Poland.
| | - Renata Duchnowska
- Department of Oncology, Military Institute of Medicine, 128 Szaserów St., 04-141 Warsaw, Poland.
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21
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Burdett NL, Willis MO, Alsop K, Hunt AL, Pandey A, Hamilton PT, Abulez T, Liu X, Hoang T, Craig S, Fereday S, Hendley J, Garsed DW, Milne K, Kalaria S, Marshall A, Hood BL, Wilson KN, Conrads KA, Pishas KI, Ananda S, Scott CL, Antill Y, McNally O, Mileshkin L, Hamilton A, Au-Yeung G, Devereux L, Thorne H, Bild A, Bateman NW, Maxwell GL, Chang JT, Conrads TP, Nelson BH, Bowtell DDL, Christie EL. Multiomic analysis of homologous recombination-deficient end-stage high-grade serous ovarian cancer. Nat Genet 2023; 55:437-450. [PMID: 36849657 DOI: 10.1038/s41588-023-01320-2] [Citation(s) in RCA: 10] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2021] [Accepted: 01/26/2023] [Indexed: 03/01/2023]
Abstract
High-grade serous ovarian cancer (HGSC) is frequently characterized by homologous recombination (HR) DNA repair deficiency and, while most such tumors are sensitive to initial treatment, acquired resistance is common. We undertook a multiomics approach to interrogate molecular diversity in end-stage disease, using multiple autopsy samples collected from 15 women with HR-deficient HGSC. Patients had polyclonal disease, and several resistance mechanisms were identified within most patients, including reversion mutations and HR restoration by other means. We also observed frequent whole-genome duplication and global changes in immune composition with evidence of immune escape. This analysis highlights diverse evolutionary changes within HGSC that evade therapy and ultimately overwhelm individual patients.
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Affiliation(s)
- Nikki L Burdett
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
- Department of Medical Oncology, Eastern Health, Box Hill, Victoria, Australia
| | | | - Kathryn Alsop
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Allison L Hunt
- Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Annandale, Victoria, USA
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
| | - Ahwan Pandey
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | | | - Tamara Abulez
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Xuan Liu
- Department of Integrative Biology and Pharmacology, The University of Texas Health Science Center, Houston, TX, USA
| | - Therese Hoang
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Stuart Craig
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Sian Fereday
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Joy Hendley
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Dale W Garsed
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Katy Milne
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Shreena Kalaria
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Ashley Marshall
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
| | - Brian L Hood
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Katlin N Wilson
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Kelly A Conrads
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
| | - Kathleen I Pishas
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Sumitra Ananda
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Department of Medical Oncology, Western Health, St Albans, Victoria, Australia
- Department of Medicine, Western Health, The University of Melbourne, St Albans, Victoria, Australia
- Epworth Healthcare, East Melbourne, Victoria, Australia
| | - Clare L Scott
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Walter and Eliza Hall Institute of Medical Research, Parkville, Victoria, Australia
| | - Yoland Antill
- Faculty of Medicine, Nursing and Health Sciences, Monash University, Clayton, Victoria, Australia
- Cabrini Health, Malvern, Victoria, Australia
- Department of Medical Oncology, Peninsula health, Frankston, Victoria, Australia
| | - Orla McNally
- The Royal Women's Hospital, Parkville, Victoria, Australia
- Department of Obstetrics and Gynaecology, The University of Melbourne, Melbourne, Victoria, Australia
| | - Linda Mileshkin
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Anne Hamilton
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
- The Royal Women's Hospital, Parkville, Victoria, Australia
| | - George Au-Yeung
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Lisa Devereux
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Heather Thorne
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Andrea Bild
- Department of Medical Oncology and Therapeutics, City of Hope Comprehensive Cancer Center, Monrovia, CA, USA
| | - Nicholas W Bateman
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University, Bethesda, MD, USA
| | - G Larry Maxwell
- Women's Health Integrated Research Center, Inova Women's Service Line, Inova Health System, Annandale, Victoria, USA
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University, Bethesda, MD, USA
| | - Jeffrey T Chang
- Department of Integrative Biology and Pharmacology, The University of Texas Health Science Center, Houston, TX, USA
| | - Thomas P Conrads
- Gynecologic Cancer Center of Excellence, Department of Obstetrics and Gynecology, Uniformed Services University and Walter Reed National Military Medical Center, Bethesda, MD, USA
- The Henry M. Jackson Foundation for the Advancement of Military Medicine, Inc., Bethesda, MD, USA
- The John P. Murtha Cancer Center Research Program, Department of Surgery, Uniformed Services University, Bethesda, MD, USA
| | - Brad H Nelson
- Deeley Research Centre, BC Cancer, Victoria, British Columbia, Canada
- Department of Medical Genetics, University of British Columbia, Vancouver, British Columbia, Canada
- Department of Biochemistry and Microbiology, University of Victoria, Victoria, British Columbia, Canada
| | - David D L Bowtell
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia
| | - Elizabeth L Christie
- Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
- Sir Peter MacCallum Department of Oncology, The University of Melbourne, Parkville, Victoria, Australia.
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22
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Falcone R, Lombardi P, Filetti M, Fabi A, Altamura V, Scambia G, Daniele G. Molecular Profile and Matched Targeted Therapy for Advanced Breast Cancer Patients. Curr Oncol 2023; 30:2501-2509. [PMID: 36826152 PMCID: PMC9954949 DOI: 10.3390/curroncol30020191] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2023] [Revised: 02/12/2023] [Accepted: 02/16/2023] [Indexed: 02/22/2023] Open
Abstract
(1) Background: Precision oncology is opening new treatment opportunities for patients suffering from solid tumors. In the last two decades, the advent of CDK4/6 inhibitors, immunotherapy, and antibody-drug conjugates (ADC) improved survival outcomes for advanced or metastatic breast cancers (BC). Nevertheless, some patients progress to approved therapies and still maintain good clinical conditions. (2) Methods: With the aim to estimate the accrual rate to experimental precision oncology treatments, we collected molecular and clinical characteristics of BC patients evaluated at Phase 1 Unit of Fondazione Policlinico Gemelli. Clinical data were retrieved from hospital records. Molecular analysis was performed using Next-Generation Sequencing (NGS) FoundationOne CDx on tissue or blood. (3) Results: Among the 38 BC patients referred to our unit, 35 completed the genomic analysis. All patients were female with advanced (mean number of metastatic sites: 3, range 1-6) BC. Median age at our evaluation was 52 (IQR, 48-59). ECOG PS was good in 97% of the study population, although heavily pre-treated (median number of systemic treatments: 5, IQR 3-7). Half of referred patients were HR+/HER2- BC, with 39% triple negative breast cancer (TNBC). NGS testing was performed on relapsed disease among most (71%) participants, in particular lymph nodes and soft tissue. Liquid biopsy was requested in 23% of cases. The median time from sample collection to NGS testing was 1 month and from diagnosis 54 months. The median value of mutations, VUS, and TMB were 6, 11, and 5, respectively. TP53, PIK3CA, BRCA2, ESR1, and RAD21 were the genes with the highest number of molecular alterations. In 5 patients (14%), the molecular analysis was helpful to assign targeted therapy in the context of clinical trials with a median progression-free survival of 5 months. (4) Conclusions: HR+/HER2- and TNBC were the most frequent subtypes referred for NGS testing. Tissue biopsy of relapsed disease was feasible in 71% of cases. The molecular analysis offered a new treatment opportunity in 14% of patients. The real benefit of these treatments remains to be evaluated in larger cohorts.
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Affiliation(s)
- Rosa Falcone
- Phase 1 Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
- Correspondence:
| | - Pasquale Lombardi
- Phase 1 Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Marco Filetti
- Phase 1 Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
- Department of Experimental Medicine, Sapienza University of Rome, 00185 Rome, Italy
| | - Alessandra Fabi
- Unit of Precision Medicine in Breast Cancer, Scientific Directorate, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Valeria Altamura
- Phase 1 Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
| | - Giovanni Scambia
- Department of Life Science and Public Health, Università Cattolica del Sacro Cuore, 00168 Rome, Italy
| | - Gennaro Daniele
- Phase 1 Unit, Fondazione Policlinico Universitario A. Gemelli IRCCS, 00168 Rome, Italy
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23
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Ahrenfeldt J, Christensen DS, Østergaard AB, Kisistók J, Sokač M, Birkbak NJ. The ratio of adaptive to innate immune cells differs between genders and associates with improved prognosis and response to immunotherapy. PLoS One 2023; 18:e0281375. [PMID: 36745657 PMCID: PMC9901741 DOI: 10.1371/journal.pone.0281375] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2022] [Accepted: 01/22/2023] [Indexed: 02/07/2023] Open
Abstract
Immunotherapy has revolutionised cancer treatment. However, not all cancer patients benefit, and current stratification strategies based primarily on PD1 status and mutation burden are far from perfect. We hypothesised that high activation of an innate response relative to the adaptive response may prevent proper tumour neoantigen identification and decrease the specific anticancer response, both in the presence and absence of immunotherapy. To investigate this, we obtained transcriptomic data from three large publicly available cancer datasets, the Cancer Genome Atlas (TCGA), the Hartwig Medical Foundation (HMF), and a recently published cohort of metastatic bladder cancer patients treated with immunotherapy. To analyse immune infiltration into bulk tumours, we developed an RNAseq-based model based on previously published definitions to estimate the overall level of infiltrating innate and adaptive immune cells from bulk tumour RNAseq data. From these, the adaptive-to-innate immune ratio (A/I ratio) was defined. A meta-analysis of 32 cancer types from TCGA overall showed improved overall survival in patients with an A/I ratio above median (Hazard ratio (HR) females 0.73, HR males 0.86, P < 0.05). Of particular interest, we found that the association was different for males and females for eight cancer types, demonstrating a gender bias in the relative balance of the infiltration of innate and adaptive immune cells. For patients with metastatic disease, we found that responders to immunotherapy had a significantly higher A/I ratio than non-responders in HMF (P = 0.036) and a significantly higher ratio in complete responders in a separate metastatic bladder cancer dataset (P = 0.022). Overall, the adaptive-to-innate immune ratio seems to define separate states of immune activation, likely linked to fundamental immunological reactions to cancer. This ratio was associated with improved prognosis and improved response to immunotherapy, demonstrating potential relevance to patient stratification. Furthermore, by demonstrating a significant difference between males and females that associates with response, we highlight an important gender bias which likely has direct clinical relevance.
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Affiliation(s)
- Johanne Ahrenfeldt
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- * E-mail: (JA); (NJB)
| | - Ditte S. Christensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | | | - Judit Kisistók
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Mateo Sokač
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
| | - Nicolai J. Birkbak
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Centre, Aarhus University, Aarhus, Denmark
- * E-mail: (JA); (NJB)
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24
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Yamamoto A, Doak AE, Cheung KJ. Orchestration of Collective Migration and Metastasis by Tumor Cell Clusters. ANNUAL REVIEW OF PATHOLOGY 2023; 18:231-256. [PMID: 36207009 DOI: 10.1146/annurev-pathmechdis-031521-023557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/07/2022]
Abstract
Metastatic dissemination has lethal consequences for cancer patients. Accruing evidence supports the hypothesis that tumor cells can migrate and metastasize as clusters of cells while maintaining contacts with one another. Collective metastasis enables tumor cells to colonize secondary sites more efficiently, resist cell death, and evade the immune system. On the other hand, tumor cell clusters face unique challenges for dissemination particularly during systemic dissemination. Here, we review recent progress toward understanding how tumor cell clusters overcome these disadvantages as well as mechanisms they utilize to gain advantages throughout the metastatic process. We consider useful models for studying collective metastasis and reflect on how the study of collective metastasis suggests new opportunities for eradicating and preventing metastatic disease.
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Affiliation(s)
- Ami Yamamoto
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , , .,Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
| | - Andrea E Doak
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , , .,Molecular and Cellular Biology Graduate Program, University of Washington, Seattle, Washington, USA
| | - Kevin J Cheung
- Translational Research Program, Public Health Sciences and Human Biology Divisions, Fred Hutchinson Cancer Center, Seattle, Washington, USA; , ,
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25
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Álvarez-Prado ÁF, Maas RR, Soukup K, Klemm F, Kornete M, Krebs FS, Zoete V, Berezowska S, Brouland JP, Hottinger AF, Daniel RT, Hegi ME, Joyce JA. Immunogenomic analysis of human brain metastases reveals diverse immune landscapes across genetically distinct tumors. Cell Rep Med 2023; 4:100900. [PMID: 36652909 PMCID: PMC9873981 DOI: 10.1016/j.xcrm.2022.100900] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/04/2022] [Revised: 09/20/2022] [Accepted: 12/19/2022] [Indexed: 01/19/2023]
Abstract
Brain metastases (BrMs) are the most common form of brain tumors in adults and frequently originate from lung and breast primary cancers. BrMs are associated with high mortality, emphasizing the need for more effective therapies. Genetic profiling of primary tumors is increasingly used as part of the effort to guide targeted therapies against BrMs, and immune-based strategies for the treatment of metastatic cancer are gaining momentum. However, the tumor immune microenvironment (TIME) of BrM is extremely heterogeneous, and whether specific genetic profiles are associated with distinct immune states remains unknown. Here, we perform an extensive characterization of the immunogenomic landscape of human BrMs by combining whole-exome/whole-genome sequencing, RNA sequencing of immune cell populations, flow cytometry, immunofluorescence staining, and tissue imaging analyses. This revealed unique TIME phenotypes in genetically distinct lung- and breast-BrMs, thereby enabling the development of personalized immunotherapies tailored by the genetic makeup of the tumors.
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Affiliation(s)
- Ángel F. Álvarez-Prado
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland,Agora Cancer Research Center, 1011 Lausanne, Switzerland,L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland
| | - Roeltje R. Maas
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland,Agora Cancer Research Center, 1011 Lausanne, Switzerland,L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland,Neuroscience Research Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland,Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Klara Soukup
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland,Agora Cancer Research Center, 1011 Lausanne, Switzerland
| | - Florian Klemm
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland,Agora Cancer Research Center, 1011 Lausanne, Switzerland
| | - Mara Kornete
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland,Agora Cancer Research Center, 1011 Lausanne, Switzerland
| | - Fanny S. Krebs
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Vincent Zoete
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,Swiss Institute of Bioinformatics, Lausanne, Switzerland
| | - Sabina Berezowska
- Department of Pathology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Jean-Philippe Brouland
- Department of Pathology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Andreas F. Hottinger
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland,Brain and Spine Tumor Center, Departments of Clinical Neurosciences and Oncology, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Roy T. Daniel
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland,Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Monika E. Hegi
- L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland,Neuroscience Research Center, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland,Department of Neurosurgery, Centre Hospitalier Universitaire Vaudois, Lausanne, Switzerland
| | - Johanna A. Joyce
- Department of Oncology, University of Lausanne, 1011 Lausanne, Switzerland,Ludwig Institute for Cancer Research, University of Lausanne, 1011 Lausanne, Switzerland,Agora Cancer Research Center, 1011 Lausanne, Switzerland,L. Lundin and Family Brain Tumor Research Center, Departments of Oncology and Clinical Neurosciences, Centre Hospitalier Universitaire Vaudois, 1011 Lausanne, Switzerland,Corresponding author
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26
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Garcia-Recio S, Hinoue T, Wheeler GL, Kelly BJ, Garrido-Castro AC, Pascual T, De Cubas AA, Xia Y, Felsheim BM, McClure MB, Rajkovic A, Karaesmen E, Smith MA, Fan C, Ericsson PIG, Sanders ME, Creighton CJ, Bowen J, Leraas K, Burns RT, Coppens S, Wheless A, Rezk S, Garrett AL, Parker JS, Foy KK, Shen H, Park BH, Krop I, Anders C, Gastier-Foster J, Rimawi MF, Nanda R, Lin NU, Isaacs C, Marcom PK, Storniolo AM, Couch FJ, Chandran U, Davis M, Silverstein J, Ropelewski A, Liu MC, Hilsenbeck SG, Norton L, Richardson AL, Symmans WF, Wolff AC, Davidson NE, Carey LA, Lee AV, Balko JM, Hoadley KA, Laird PW, Mardis ER, King TA, Perou CM. Multiomics in primary and metastatic breast tumors from the AURORA US network finds microenvironment and epigenetic drivers of metastasis. NATURE CANCER 2023; 4:128-147. [PMID: 36585450 PMCID: PMC9886551 DOI: 10.1038/s43018-022-00491-x] [Citation(s) in RCA: 19] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 07/05/2022] [Accepted: 11/11/2022] [Indexed: 12/31/2022]
Abstract
The AURORA US Metastasis Project was established with the goal to identify molecular features associated with metastasis. We assayed 55 females with metastatic breast cancer (51 primary cancers and 102 metastases) by RNA sequencing, tumor/germline DNA exome and low-pass whole-genome sequencing and global DNA methylation microarrays. Expression subtype changes were observed in ~30% of samples and were coincident with DNA clonality shifts, especially involving HER2. Downregulation of estrogen receptor (ER)-mediated cell-cell adhesion genes through DNA methylation mechanisms was observed in metastases. Microenvironment differences varied according to tumor subtype; the ER+/luminal subtype had lower fibroblast and endothelial content, while triple-negative breast cancer/basal metastases showed a decrease in B and T cells. In 17% of metastases, DNA hypermethylation and/or focal deletions were identified near HLA-A and were associated with reduced expression and lower immune cell infiltrates, especially in brain and liver metastases. These findings could have implications for treating individuals with metastatic breast cancer with immune- and HER2-targeting therapies.
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Affiliation(s)
| | | | | | | | | | - Tomas Pascual
- University of North Carolina, Chapel Hill, NC, USA
- SOLTI Cancer Research Group, Barcelona, Spain
| | - Aguirre A De Cubas
- Vanderbilt University Medical Center, Nashville, TN, USA
- Medical University of South Carolina, Charleston, SC, USA
| | - Youli Xia
- University of North Carolina, Chapel Hill, NC, USA
- Boehringer Ingelheim, Ridgefield, CT, USA
| | | | - Marni B McClure
- University of North Carolina, Chapel Hill, NC, USA
- Johns Hopkins University, Baltimore, MD, USA
| | | | | | | | - Cheng Fan
- University of North Carolina, Chapel Hill, NC, USA
| | | | | | | | - Jay Bowen
- Nationwide Children's Hospital, Columbus, OH, USA
| | | | - Robyn T Burns
- Translational Breast Cancer Research Consortium, Baltimore, USA
| | - Sara Coppens
- Nationwide Children's Hospital, Columbus, OH, USA
| | - Amy Wheless
- University of North Carolina, Chapel Hill, NC, USA
| | - Salma Rezk
- University of North Carolina, Chapel Hill, NC, USA
| | | | | | | | - Hui Shen
- Van Andel Institute, Grand Rapids, MI, USA
| | - Ben H Park
- Vanderbilt University Medical Center, Nashville, TN, USA
| | - Ian Krop
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | - Nancy U Lin
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
| | | | | | | | | | - Uma Chandran
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Michael Davis
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | | | - Alexander Ropelewski
- Pittsburgh Supercomputing Center, Carnegie Mellon University, Pittsburgh, PA, USA
| | | | | | - Larry Norton
- Memorial Sloan Kettering Cancer Center, New York, NY, USA
| | | | | | | | - Nancy E Davidson
- Fred Hutchinson Cancer Research Center, University of Washington, Seattle, WA, USA
| | - Lisa A Carey
- University of North Carolina, Chapel Hill, NC, USA
| | - Adrian V Lee
- UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA, USA
| | - Justin M Balko
- Vanderbilt University Medical Center, Nashville, TN, USA
| | | | | | | | - Tari A King
- Dana-Farber Cancer Institute, Harvard Medical School, Boston, MA, USA
- Division of Breast Surgery, Brigham and Women's Hospital, Boston, MA, USA
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27
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Overcoming on-target, off-tumour toxicity of CAR T cell therapy for solid tumours. Nat Rev Clin Oncol 2023; 20:49-62. [PMID: 36418477 DOI: 10.1038/s41571-022-00704-3] [Citation(s) in RCA: 74] [Impact Index Per Article: 74.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 10/12/2022] [Indexed: 11/25/2022]
Abstract
Therapies with genetically modified T cells that express chimeric antigen receptors (CARs) specific for CD19 or B cell maturation antigen (BCMA) are approved to treat certain B cell malignancies. However, translating these successes into treatments for patients with solid tumours presents various challenges, including the risk of clinically serious on-target, off-tumour toxicity (OTOT) owing to CAR T cell-mediated cytotoxicity against non-malignant tissues expressing the target antigen. Indeed, severe OTOT has been observed in various CAR T cell clinical trials involving patients with solid tumours, highlighting the importance of establishing strategies to predict, mitigate and control the onset of this effect. In this Review, we summarize current clinical evidence of OTOT with CAR T cells in the treatment of solid tumours and discuss the utility of preclinical mouse models in predicting clinical OTOT. We then describe novel strategies being developed to improve the specificity of CAR T cells in solid tumours, particularly the role of affinity tuning of target binders, logic circuits and synthetic biology. Furthermore, we highlight control strategies that can be used to mitigate clinical OTOT following cell infusion such as regulating or eliminating CAR T cell activity, exogenous control of CAR expression, and local administration of CAR T cells.
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28
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Seferbekova Z, Lomakin A, Yates LR, Gerstung M. Spatial biology of cancer evolution. Nat Rev Genet 2022; 24:295-313. [PMID: 36494509 DOI: 10.1038/s41576-022-00553-x] [Citation(s) in RCA: 31] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 11/04/2022] [Indexed: 12/13/2022]
Abstract
The natural history of cancers can be understood through the lens of evolution given that the driving forces of cancer development are mutation and selection of fitter clones. Cancer growth and progression are spatial processes that involve the breakdown of normal tissue organization, invasion and metastasis. For these reasons, spatial patterns are an integral part of histological tumour grading and staging as they measure the progression from normal to malignant disease. Furthermore, tumour cells are part of an ecosystem of tumour cells and their surrounding tumour microenvironment. A range of new spatial genomic, transcriptomic and proteomic technologies offers new avenues for the study of cancer evolution with great molecular and spatial detail. These methods enable precise characterizations of the tumour microenvironment, cellular interactions therein and micro-anatomical structures. In conjunction with spatial genomics, it emerges that tumours and microenvironments co-evolve, which helps explain observable patterns of heterogeneity and offers new routes for therapeutic interventions.
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Computational Analysis Reveals the Temporal Acquisition of Pathway Alterations during the Evolution of Cancer. Cancers (Basel) 2022; 14:cancers14235817. [PMID: 36497297 PMCID: PMC9739002 DOI: 10.3390/cancers14235817] [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: 10/27/2022] [Revised: 11/18/2022] [Accepted: 11/22/2022] [Indexed: 11/29/2022] Open
Abstract
Cancer metastasis is the lethal developmental step in cancer, responsible for the majority of cancer deaths. To metastasise, cancer cells must acquire the ability to disseminate systemically and to escape an activated immune response. Here, we endeavoured to investigate if metastatic dissemination reflects acquisition of genomic traits that are selected for. We acquired mutation and copy number data from 8332 tumours representing 19 cancer types acquired from The Cancer Genome Atlas and the Hartwig Medical Foundation. A total of 827,344 non-synonymous mutations across 8332 tumour samples representing 19 cancer types were timed as early or late relative to copy number alterations, and potential driver events were annotated. We found that metastatic cancers had a significantly higher proportion of clonal mutations and a general enrichment of early mutations in p53 and RTK/KRAS pathways. However, while individual pathways demonstrated a clear time-separated preference for specific events, the relative timing did not vary between primary and metastatic cancers. These results indicate that the selective pressure that drives cancer development does not change dramatically between primary and metastatic cancer on a genomic level, and is mainly focused on alterations that increase proliferation.
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Chroni A, Miura S, Hamilton L, Vu T, Gaffney SG, Aly V, Karim S, Sanderford M, Townsend JP, Kumar S. Clone Phylogenetics Reveals Metastatic Tumor Migrations, Maps, and Models. Cancers (Basel) 2022; 14:cancers14174326. [PMID: 36077861 PMCID: PMC9454754 DOI: 10.3390/cancers14174326] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2022] [Revised: 08/30/2022] [Accepted: 09/02/2022] [Indexed: 12/03/2022] Open
Abstract
Simple Summary Metastasis is the spread of cancer cells across organs and is a major cause of cancer mortality. Analysis of tumor sequencing data provides a means toward the reconstruction of routes of metastatic cell migrations. Our reconstructions demonstrated that many metastases were likely seeded from pre-existing metastasis of primary tumors. Additionally, multiple clone exchanges between tumor sites were common. In conclusion, the pattern of cancer cell migrations is often complex and is highly variable among patients. Abstract Dispersal routes of metastatic cells are not medically detected or even visible. A molecular evolutionary analysis of tumor variation provides a way to retrospectively infer metastatic migration histories and answer questions such as whether the majority of metastases are seeded from clones within primary tumors or seeded from clones within pre-existing metastases, as well as whether the evolution of metastases is generally consistent with any proposed models. We seek answers to these fundamental questions through a systematic patient-centric retrospective analysis that maps the dynamic evolutionary history of tumor cell migrations in many cancers. We analyzed tumor genetic heterogeneity in 51 cancer patients and found that most metastatic migration histories were best described by a hybrid of models of metastatic tumor evolution. Synthesizing across metastatic migration histories, we found new tumor seedings arising from clones of pre-existing metastases as often as they arose from clones from primary tumors. There were also many clone exchanges between the source and recipient tumors. Therefore, a molecular phylogenetic analysis of tumor variation provides a retrospective glimpse into general patterns of metastatic migration histories in cancer patients.
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Affiliation(s)
- Antonia Chroni
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA
- Department of Biology, Temple University, Philadelphia, PA 19122, USA
| | - Sayaka Miura
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA
- Department of Biology, Temple University, Philadelphia, PA 19122, USA
| | - Lauren Hamilton
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA
- Department of Biology, Temple University, Philadelphia, PA 19122, USA
| | - Tracy Vu
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA
- Department of Biology, Temple University, Philadelphia, PA 19122, USA
| | | | - Vivian Aly
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA
- Department of Biology, Temple University, Philadelphia, PA 19122, USA
| | - Sajjad Karim
- Center for Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 22252, Saudi Arabia
| | - Maxwell Sanderford
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA
- Department of Biology, Temple University, Philadelphia, PA 19122, USA
| | - Jeffrey P. Townsend
- Department of Biostatistics, Yale University, New Haven, CT 06510, USA
- Department of Ecology and Evolutionary Biology, Yale University, New Haven, CT 06525, USA
- Program in Computational Biology and Bioinformatics, Yale University, New Haven, CT 06511, USA
| | - Sudhir Kumar
- Institute for Genomics and Evolutionary Medicine, Temple University, Philadelphia, PA 19122, USA
- Department of Biology, Temple University, Philadelphia, PA 19122, USA
- Center for Excellence in Genomic Medicine Research, King Abdulaziz University, Jeddah 22252, Saudi Arabia
- Correspondence:
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31
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Christensen DS, Ahrenfeldt J, Sokač M, Kisistók J, Thomsen MK, Maretty L, McGranahan N, Birkbak NJ. Treatment represents a key driver of metastatic cancer evolution. Cancer Res 2022; 82:2918-2927. [PMID: 35731928 DOI: 10.1158/0008-5472.can-22-0562] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/16/2022] [Revised: 05/02/2022] [Accepted: 06/13/2022] [Indexed: 11/16/2022]
Abstract
Metastasis is the main cause of cancer death, yet the evolutionary processes behind it remain largely unknown. Here, through analysis of large panel-based genomic datasets from the AACR GENIE project, including 40,979 primary and metastatic tumors across 25 distinct cancer types, we explore how the evolutionary pressure of cancer metastasis shapes the selection of genomic drivers of cancer. The most commonly affected genes were TP53, MYC, and CDKN2A, with no specific pattern associated with metastatic disease. This suggests that, on a driver mutation level, the selective pressure operating in primary and metastatic tumors is similar. The most highly enriched individual driver mutations in metastatic tumors were mutations known to drive resistance to hormone therapies in breast and prostate cancer (ESR1 and AR), anti-EGFR therapy in non-small cell lung cancer (EGFR T790M), and imatinib in gastrointestinal cancer (KIT V654A). Specific mutational signatures were also associated with treatment in three cancer types, supporting clonal selection following anti-cancer therapy. Overall, this implies that initial acquisition of driver mutations is predominantly shaped by the tissue of origin, where specific mutations define the developing primary tumor and drive growth, immune escape, and tolerance to chromosomal instability. However, acquisition of driver mutations that contribute to metastatic disease is less specific, with the main genomic drivers of metastatic cancer evolution associating with resistance to therapy.
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Affiliation(s)
- Ditte S Christensen
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Department of Clinical Oncology, Aarhus University Hospital, Aarhus, Denmark
| | - Johanne Ahrenfeldt
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Mateo Sokač
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Judit Kisistók
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | | | - Lasse Maretty
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Center, Aarhus University, Aarhus, Denmark
| | - Nicholas McGranahan
- Cancer Research UK Lung Cancer Centre of Excellence, University College London Cancer Institute, Paul O'Gorman Building, London, United Kingdom
- Cancer Genome Evolution Research Group, University College London Cancer Institute, University College London, London, United Kingdom
| | - Nicolai J Birkbak
- Department of Molecular Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Bioinformatics Research Center, Aarhus University, Aarhus, Denmark
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32
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Rogiers A, Lobon I, Spain L, Turajlic S. The Genetic Evolution of Metastasis. Cancer Res 2022; 82:1849-1857. [PMID: 35476646 DOI: 10.1158/0008-5472.can-21-3863] [Citation(s) in RCA: 6] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/10/2021] [Revised: 02/04/2022] [Accepted: 03/07/2022] [Indexed: 11/16/2022]
Abstract
Cancer is an evolutionary process that is characterized by the emergence of multiple genetically distinct populations or clones within the primary tumor. Intratumor heterogeneity provides a substrate for the selection of adaptive clones, such as those that lead to metastasis. Comparative molecular studies of primary tumors and metastases have identified distinct genomic features associated with the development of metastases. In this review, we discuss how these insights could inform clinical decision-making and uncover rational antimetastasis treatment strategies.
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Affiliation(s)
- Aljosja Rogiers
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, United Kingdom.,Renal and Skin Units, The Royal Marsden NHS Foundation Trust, London, United Kingdom
| | - Irene Lobon
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, United Kingdom
| | - Lavinia Spain
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, United Kingdom.,Medical Oncology Department, Peter MacCallum Cancer Centre, Melbourne, Australia.,Medical Oncology Department, Eastern Health, Melbourne Australia.,Eastern Health Clinical School, Monash University, Box Hill, Australia
| | - Samra Turajlic
- Cancer Dynamics Laboratory, The Francis Crick Institute, London, United Kingdom.,Renal and Skin Units, The Royal Marsden NHS Foundation Trust, London, United Kingdom.,Melanoma and Kidney Cancer Team, The Institute of Cancer Research, London, United Kingdom
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33
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Teng YHF, Quah HS, Suteja L, Dias JML, Mupo A, Bashford-Rogers RJM, Vassiliou GS, Chua MLK, Tan DSW, Lim DWT, Iyer NG. Analysis of T cell receptor clonotypes in tumor microenvironment identifies shared cancer-type-specific signatures. Cancer Immunol Immunother 2022; 71:989-998. [PMID: 34580764 PMCID: PMC8476067 DOI: 10.1007/s00262-021-03047-7] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/27/2020] [Accepted: 08/25/2021] [Indexed: 12/02/2022]
Abstract
Despite the conventional view that a truly random V(D)J recombination process should generate a highly diverse immune repertoire, emerging reports suggest that there is a certain bias toward the generation of shared/public immune receptor chains. These studies were performed in viral diseases where public T cell receptors (TCR) appear to confer better protective responses. Selective pressures generating common TCR clonotypes are currently not well understood, but it is believed that they confer a growth advantage. As very little is known about public TCR clonotypes in cancer, here we set out to determine the extent of shared TCR clonotypes in the intra-tumor microenvironments of virus- and non-virus-driven head and neck cancers using TCR sequencing. We report that tumor-infiltrating T cell clonotypes were indeed shared across individuals with the same cancer type, where the majority of shared sequences were specific to the cancer type (i.e., viral versus non-viral). These shared clonotypes were not particularly enriched in EBV-associated nasopharynx cancer but, in both cancers, exhibited distinct characteristics, namely shorter CDR3 lengths, restricted V- and J-gene usages, and also demonstrated convergent V(D)J recombination. Many of these shared TCRs were expressed in patients with a shared HLA background. Pattern recognition of CDR3 amino acid sequences revealed strong convergence to specific pattern motifs, and these motifs were uniquely found to each cancer type. This suggests that they may be enriched for specificity to common antigens found in the tumor microenvironment of different cancers. The identification of shared TCRs in infiltrating tumor T cells not only adds to our understanding of the tumor-adaptive immune recognition but could also serve as disease-specific biomarkers and guide the development of future immunotherapies.
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Affiliation(s)
- Yvonne H. F. Teng
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Hong Sheng Quah
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Lisda Suteja
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - João M. L. Dias
- Hutchison/MRC Research Centre, MRC Cancer Unit, University of Cambridge, Cambridge Biomedical Campus, Cambridge, CB2 0XZ UK
| | | | | | - George S. Vassiliou
- Wellcome-MRC Cambridge Stem Cell Institute, Jeffrey Cheah Biomedical Centre, University of Cambridge, Cambridge Biomedical Campus, Puddicombe Way, Cambridge, CB2 0AW UK
| | - Melvin L. K. Chua
- Duke-NUS Medical School, Singapore, Singapore
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Daniel S. W. Tan
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
| | - Darren W. T. Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Institute of Molecular and Cell Biology, A-STAR, Singapore, Singapore
| | - N. Gopalakrishna Iyer
- Cancer Therapeutics Research Laboratory, National Cancer Centre Singapore, 11 Hospital Crescent, Singapore, 169610 Singapore
- Duke-NUS Medical School, Singapore, Singapore
- Department of Head and Neck Surgery, National Cancer Centre Singapore, Singapore, Singapore
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34
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Kok VC, Wang CCN, Liao SH, Chen DL. Cross-Platform in-silico Analyses Exploring Tumor Immune Microenvironment with Prognostic Value in Triple-Negative Breast Cancer. BREAST CANCER: TARGETS AND THERAPY 2022. [DOI: https://doi.org/10.2147/bctt.s359346] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/06/2022]
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35
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Ahern DJ, Ai Z, Ainsworth M, Allan C, Allcock A, Angus B, Ansari MA, Arancibia-Cárcamo CV, Aschenbrenner D, Attar M, Baillie JK, Barnes E, Bashford-Rogers R, Bashyal A, Beer S, Berridge G, Beveridge A, Bibi S, Bicanic T, Blackwell L, Bowness P, Brent A, Brown A, Broxholme J, Buck D, Burnham KL, Byrne H, Camara S, Candido Ferreira I, Charles P, Chen W, Chen YL, Chong A, Clutterbuck EA, Coles M, Conlon CP, Cornall R, Cribbs AP, Curion F, Davenport EE, Davidson N, Davis S, Dendrou CA, Dequaire J, Dib L, Docker J, Dold C, Dong T, Downes D, Drakesmith H, Dunachie SJ, Duncan DA, Eijsbouts C, Esnouf R, Espinosa A, Etherington R, Fairfax B, Fairhead R, Fang H, Fassih S, Felle S, Fernandez Mendoza M, Ferreira R, Fischer R, Foord T, Forrow A, Frater J, Fries A, Gallardo Sanchez V, Garner LC, Geeves C, Georgiou D, Godfrey L, Golubchik T, Gomez Vazquez M, Green A, Harper H, Harrington HA, Heilig R, Hester S, Hill J, Hinds C, Hird C, Ho LP, Hoekzema R, Hollis B, Hughes J, Hutton P, Jackson-Wood MA, Jainarayanan A, James-Bott A, Jansen K, Jeffery K, Jones E, Jostins L, Kerr G, Kim D, Klenerman P, Knight JC, Kumar V, Kumar Sharma P, Kurupati P, Kwok A, Lee A, Linder A, Lockett T, Lonie L, Lopopolo M, Lukoseviciute M, Luo J, Marinou S, Marsden B, Martinez J, Matthews PC, Mazurczyk M, McGowan S, McKechnie S, Mead A, Mentzer AJ, Mi Y, Monaco C, Montadon R, Napolitani G, Nassiri I, Novak A, O'Brien DP, O'Connor D, O'Donnell D, Ogg G, Overend L, Park I, Pavord I, Peng Y, Penkava F, Pereira Pinho M, Perez E, Pollard AJ, Powrie F, Psaila B, Quan TP, Repapi E, Revale S, Silva-Reyes L, Richard JB, Rich-Griffin C, Ritter T, Rollier CS, Rowland M, Ruehle F, Salio M, Sansom SN, Sanches Peres R, Santos Delgado A, Sauka-Spengler T, Schwessinger R, Scozzafava G, Screaton G, Seigal A, Semple MG, Sergeant M, Simoglou Karali C, Sims D, Skelly D, Slawinski H, Sobrinodiaz A, Sousos N, Stafford L, Stockdale L, Strickland M, Sumray O, Sun B, Taylor C, Taylor S, Taylor A, Thongjuea S, Thraves H, Todd JA, Tomic A, Tong O, Trebes A, Trzupek D, Tucci FA, Turtle L, Udalova I, Uhlig H, van Grinsven E, Vendrell I, Verheul M, Voda A, Wang G, Wang L, Wang D, Watkinson P, Watson R, Weinberger M, Whalley J, Witty L, Wray K, Xue L, Yeung HY, Yin Z, Young RK, Youngs J, Zhang P, Zurke YX. A blood atlas of COVID-19 defines hallmarks of disease severity and specificity. Cell 2022; 185:916-938.e58. [PMID: 35216673 PMCID: PMC8776501 DOI: 10.1016/j.cell.2022.01.012] [Citation(s) in RCA: 117] [Impact Index Per Article: 58.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2021] [Revised: 08/16/2021] [Accepted: 01/17/2022] [Indexed: 02/06/2023]
Abstract
Treatment of severe COVID-19 is currently limited by clinical heterogeneity and incomplete description of specific immune biomarkers. We present here a comprehensive multi-omic blood atlas for patients with varying COVID-19 severity in an integrated comparison with influenza and sepsis patients versus healthy volunteers. We identify immune signatures and correlates of host response. Hallmarks of disease severity involved cells, their inflammatory mediators and networks, including progenitor cells and specific myeloid and lymphocyte subsets, features of the immune repertoire, acute phase response, metabolism, and coagulation. Persisting immune activation involving AP-1/p38MAPK was a specific feature of COVID-19. The plasma proteome enabled sub-phenotyping into patient clusters, predictive of severity and outcome. Systems-based integrative analyses including tensor and matrix decomposition of all modalities revealed feature groupings linked with severity and specificity compared to influenza and sepsis. Our approach and blood atlas will support future drug development, clinical trial design, and personalized medicine approaches for COVID-19.
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36
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Pasha N, Turner NC. Understanding and overcoming tumor heterogeneity in metastatic breast cancer treatment. NATURE CANCER 2022; 2:680-692. [PMID: 35121946 DOI: 10.1038/s43018-021-00229-1] [Citation(s) in RCA: 45] [Impact Index Per Article: 22.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Received: 08/28/2020] [Accepted: 06/02/2021] [Indexed: 12/28/2022]
Abstract
Rational development of targeted therapies has revolutionized metastatic breast cancer outcomes, although resistance to treatment remains a major challenge. Advances in molecular profiling and imaging technologies have provided evidence for the impact of clonal diversity in cancer treatment resistance, through the outgrowth of resistant clones. In this Review, we focus on the genomic processes that drive tumoral heterogeneity and the mechanisms of resistance underlying metastatic breast cancer treatment and discuss implications for future treatment strategies.
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Affiliation(s)
- Nida Pasha
- Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, UK
| | - Nicholas C Turner
- Breast Cancer Now Toby Robins Breast Cancer Research Centre, The Institute of Cancer Research, London, UK. .,Ralph Lauren Centre for Breast Cancer Research and Breast Unit, Royal Marsden Hospital, London, UK.
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37
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Francavilla C, O'Brien CS. Fibroblast growth factor receptor signalling dysregulation and targeting in breast cancer. Open Biol 2022; 12:210373. [PMID: 35193394 PMCID: PMC8864352 DOI: 10.1098/rsob.210373] [Citation(s) in RCA: 13] [Impact Index Per Article: 6.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/11/2021] [Accepted: 01/20/2022] [Indexed: 01/07/2023] Open
Abstract
Fibroblast Growth Factor Receptor (FGFR) signalling plays a critical role in breast embryonal development, tissue homeostasis, tumorigenesis and metastasis. FGFR, its numerous FGF ligands and signalling partners are often dysregulated in breast cancer progression and are one of the causes of resistance to treatment in breast cancer. Furthermore, FGFR signalling on epithelial cells is affected by signals from the breast microenvironment, therefore increasing the possibility of breast developmental abnormalities or cancer progression. Increasing our understanding of the multi-layered roles of the complex family of FGFRs, their ligands FGFs and their regulatory partners may offer novel treatment strategies for breast cancer patients, as a single agent or rational co-target, which will be explored in depth in this review.
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Affiliation(s)
- Chiara Francavilla
- Division of Molecular and Cellular Function, School of Biological Science, Faculty of Biology, Medicine and Health (FBMH), University of Manchester, Manchester M13 9PT, UK
- The Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester M20 4GJ, UK
| | - Ciara S. O'Brien
- The Christie Hospital NHS Foundation Trust, Wilmslow Road, Manchester M20 2BX, UK
- The Manchester Breast Centre, University of Manchester, Wilmslow Road, Manchester M20 4GJ, UK
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Barzilai O, Martin A, Reiner AS, Laufer I, Schmitt A, Bilsky MH. Clinical reliability of genomic data obtained from spinal metastatic tumor samples. Neuro Oncol 2022; 24:1090-1100. [PMID: 34999837 PMCID: PMC9248391 DOI: 10.1093/neuonc/noac009] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/09/2023] Open
Abstract
BACKGROUND The role of tumor genomic profiling is rapidly growing as it results in targeted, personalized, cancer therapy. Though routinely used in clinical practice, there are no data exploring the reliability of genomic data obtained from spine metastases samples often leading to multiple biopsies in clinical practice. This study compares the genomic tumor landscape between spinal metastases and the corresponding primary tumors as well as between spinal metastases and visceral metastases. METHODS Spine tumor samples, obtained for routine clinical care from 2013 to 2019, were analyzed using MSK-IMPACT, a next-generation sequencing assay. These samples were matched to primary or metastatic tumors from the corresponding patients. A concordance rate for genomic alterations was calculated for matching sample pairs within patients for the primary and spinal metastatic tumor samples as well as for the matching sample pairs within patients for the spinal and visceral metastases. For a more robust and clinically relevant estimate of concordance, subgroup analyses of previously established driver mutations specific to the main primary tumor histologies were performed. RESULTS Eighty-four patients contributed next-generation sequencing data from a spinal metastasis and at least one other site of disease: 54 from the primary tumor, 39 had genomic tumor data from another, nonspinal metastasis, 12 patients participated in both subsets. For the cohort of matched primary tumors and spinal metastases (n = 54) comprised of mixed histologies, we found an average concordance rate of 96.97% for all genetic events, 97.17% for mutations, 100% for fusions, 89.81% for deletions, and 97.01% for amplifications across all matched samples. Notably, >25% of patients harbored at least one genetic variant between samples tested, though not specifically for known driver mutations. The average concordance rate of driver mutations was 96.99% for prostate cancer, 95.69% (P = .0004513) for lung cancer, and 96.43% for breast cancer. An average concordance of 99.02% was calculated for all genetic events between spine metastases and non-spinal metastases (n = 41) and, more specifically, a concordance rate of 98.91% was calculated between spine metastases and liver metastases (n = 12) which was the largest represented group of nonspine metastases. CONCLUSION Sequencing data performed on spine tumor samples demonstrate a high concordance rate for genetic alterations between the primary tumor and spinal metastasis as well as between spinal metastases and other, visceral metastases, particularly for driver mutations. Spine tumor samples may be reliably used for genomic-based decision making in cancer care, particularly for prostate, NSCLC, and breast cancer.
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Affiliation(s)
- Ori Barzilai
- Corresponding Author: Ori Barzilai, MD, Department of Neurosurgery, Memorial Sloan Kettering Cancer Center, 1275 York Avenue, New York, New York 10065, USA ()
| | - Axel Martin
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Anne S Reiner
- Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Ilya Laufer
- Department of Neurosurgery, New York University School of Medicine, New York, New York, USA
| | - Adam Schmitt
- Department of Radiation Oncology, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Mark H Bilsky
- Department of Neurosurgery, Memorial Sloan-Kettering Cancer Center, New York, New York, USA,Department of Neurological Surgery, Weill Cornell Medical College, New York, New York, USA
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39
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Wang W, Ye LF, Bao H, Hu MT, Han M, Tang HM, Ren C, Wu X, Shao Y, Wang FH, Zhou ZW, Li YH, Xu RH, Wang DS. Heterogeneity and evolution of tumour immune microenvironment in metastatic gastroesophageal adenocarcinoma. Gastric Cancer 2022; 25:1017-1030. [PMID: 35904677 PMCID: PMC9587966 DOI: 10.1007/s10120-022-01324-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/08/2022] [Accepted: 07/16/2022] [Indexed: 02/07/2023]
Abstract
BACKGROUND Tumour immune microenvironment heterogeneity is prevalent in numerous cancers and can negatively impact immunotherapy response. Immune heterogeneity and evolution in gastroesophageal adenocarcinoma (GEA) have not been studied in the past. METHODS Together with a multi-region sampling of normal, primary and metastatic tissues, we performed whole exome sequencing, TCR sequencing as well as immune cell infiltration estimation through deconvolution of gene expression signals. RESULTS We discovered high TCR repertoire and immune cell infiltration heterogeneity among metastatic sites, while they were homogeneous among primary and normal samples. Metastatic sites shared high levels of abundant TCR clonotypes with blood, indicating immune surveillance via blood. Metastatic sites also had low levels of tumour-eliminating immune cells and were undergoing heavy immunomodulation compared to normal and primary tumour tissues. There was co-evolution of neo-antigen and TCR repertoire, but only in patients with late diverging mutational evolution. Co-evolution of TCR repertoire and immune cell infiltration was seen in all except one patient. CONCLUSIONS Our findings revealed immune heterogeneity and co-evolution in GEA, which may inform immunotherapy decision-making.
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Affiliation(s)
- Wei Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060 People’s Republic of China
| | - Liu-Fang Ye
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060 People’s Republic of China ,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dong feng, East Road, Guangzhou, 510060 People’s Republic of China
| | - Hua Bao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu China
| | - Ming-Tao Hu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060 People’s Republic of China ,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dong feng, East Road, Guangzhou, 510060 People’s Republic of China
| | - Ming Han
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu China
| | - Hai-Meng Tang
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu China
| | - Chao Ren
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060 People’s Republic of China ,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dong feng, East Road, Guangzhou, 510060 People’s Republic of China
| | - Xue Wu
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu China
| | - Yang Shao
- Geneseeq Research Institute, Nanjing Geneseeq Technology Inc., Nanjing, Jiangsu China ,School of Public Health, Nanjing Medical University, Nanjing, China
| | - Feng-Hua Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060 People’s Republic of China ,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dong feng, East Road, Guangzhou, 510060 People’s Republic of China
| | - Zhi-Wei Zhou
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Department of Gastric Surgery, Sun Yat-Sen University Cancer Center, Guangzhou, 510060 People’s Republic of China
| | - Yu-Hong Li
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060 People’s Republic of China ,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dong feng, East Road, Guangzhou, 510060 People’s Republic of China
| | - Rui-Hua Xu
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060 People’s Republic of China ,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dong feng, East Road, Guangzhou, 510060 People’s Republic of China
| | - De-Shen Wang
- State Key Laboratory of Oncology in South China, Collaborative Innovation Center for Cancer Medicine, Sun Yat-Sen University Cancer Center, Sun Yat-Sen University, Guangzhou, 510060 People’s Republic of China ,Research Unit of Precision Diagnosis and Treatment for Gastrointestinal Cancer, Chinese Academy of Medical Sciences, Guangzhou, 510060 People’s Republic of China ,Department of Medical Oncology, Sun Yat-Sen University Cancer Center, 651 Dong feng, East Road, Guangzhou, 510060 People’s Republic of China
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Kok VC, Wang CCN, Liao SH, Chen DL. Cross-Platform in-silico Analyses Exploring Tumor Immune Microenvironment with Prognostic Value in Triple-Negative Breast Cancer. BREAST CANCER (DOVE MEDICAL PRESS) 2022; 14:85-99. [PMID: 35437353 PMCID: PMC9013259 DOI: 10.2147/bctt.s359346] [Citation(s) in RCA: 2] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 01/21/2022] [Accepted: 04/05/2022] [Indexed: 02/05/2023]
Abstract
INTRODUCTION Only a proportion of triple-negative breast cancer (TNBC) is immunotherapy-responsive. We hypothesized that the tumor microenvironment (TME) influences the outcomes of TNBC and investigated the relevant signaling pathways. MATERIALS AND METHODS Immune score (IS) and stromal score (SS) were calculated using the ESTIMATE and correlated with the overall survival (OS) in TNBC. RNA-seq data from 115 TNBC samples and 112 normal adjacent tissues were retrieved. Validations in the methylation levels in 10 TNBC and five non-TNBC cell lines were obtained. Cox model overall survival (OS) validated the derived transcription factor (TF) genes in cBioPortal breast cancer patients. RESULTS SS-low predicts a higher OS compared with SS-high patients (P = 0.0081 IS-high/SS-low patients had better OS (P = 0.045) than IS-low/SS-high patients. More macrophages were polarized to the M2 state in patients with IS-low/SS-high patients (P < 0.001). Moreover, CIBERSORTx showed more CD8+ cytotoxic T-cells in IS-high/SS-low patients (p = 0.0286) and more resting NK cells in the IS-low/SS-high TME (P = 0.0108). KEGG pathway analysis revealed that overexpressed genes were enriched in the IL-17 and cytokine-cytokine receptor interaction pathways. The lncRNA DRAIC, a tumor suppressor, was consistently deactivated in the 10 TNBC cell lines. On the cBioPortal platform, we validated that 13% of ER-negative, HER2-unamplified BC harbored IL17RA deep deletion and 25% harbored TRAF3IP2 amplification. On cBioPortal datasets, the nine altered TF genes derived from the X2K analysis showed significantly worse relapse-free survival in 2377 patients and OS in 4819 invasive BC patients than in the unaltered cohort. CONCLUSION Of note, the results of this integrated in silico study can only be generalized to approximately 17% of patients with TNBC, in which infiltrating stromal cells and immune cells play a determinant prognostic role.
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Affiliation(s)
- Victor C Kok
- Division of Medical Oncology, Kuang Tien General Hospital Cancer Center, Taichung, 43303, Taiwan
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, 41354, Taiwan
- Correspondence: Victor C Kok; Charles CN Wang, Email ;
| | - Charles C N Wang
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, 41354, Taiwan
- Center for Artificial Intelligence and Precision Medicine Research, Asia University, Taichung, 41354, Taiwan
| | - Szu-Han Liao
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, 41354, Taiwan
| | - De-Lun Chen
- Department of Bioinformatics and Medical Engineering, Asia University, Taichung, 41354, Taiwan
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41
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Gui P, Bivona TG. Evolution of metastasis: new tools and insights. Trends Cancer 2021; 8:98-109. [PMID: 34872888 DOI: 10.1016/j.trecan.2021.11.002] [Citation(s) in RCA: 27] [Impact Index Per Article: 9.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2021] [Revised: 11/01/2021] [Accepted: 11/05/2021] [Indexed: 02/07/2023]
Abstract
Metastasis is an evolutionary process occurring across multiple organs and timescales. Due to its continuous and dynamic nature, this multifaceted process has been challenging to investigate and remains incompletely understood, in part due to the lack of tools capable of probing genomic evolution at high enough resolution. However, technological advances in genetic sequencing and editing have provided new and powerful methods to refine our understanding of the complex series of events that lead to metastatic dissemination. In this review, we summarize the latest genetic and lineage-tracing approaches developed to unravel the genetic evolution of metastasis. The findings that have emerged have enhanced our comprehension of the mechanistic trajectories and timescales of metastasis and could provide new strategies for therapy.
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Affiliation(s)
- Philippe Gui
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
| | - Trever G Bivona
- Department of Medicine, University of California, San Francisco, San Francisco, CA, USA; Department of Cellular and Molecular Pharmacology, University of California, San Francisco, San Francisco, CA, USA; Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, CA, USA.
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42
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Huang X, Qiao Y, Brady SW, Factor RE, Downs-Kelly E, Farrell A, McQuerry JA, Shrestha G, Jenkins D, Johnson WE, Cohen AL, Bild AH, Marth GT. Novel temporal and spatial patterns of metastatic colonization from breast cancer rapid-autopsy tumor biopsies. Genome Med 2021; 13:170. [PMID: 34711268 PMCID: PMC8555066 DOI: 10.1186/s13073-021-00989-6] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2020] [Accepted: 10/13/2021] [Indexed: 01/30/2023] Open
Abstract
BACKGROUND Metastatic breast cancer is a deadly disease with a low 5-year survival rate. Tracking metastatic spread in living patients is difficult and thus poorly understood. METHODS Via rapid autopsy, we have collected 30 tumor samples over 3 timepoints and across 8 organs from a triple-negative metastatic breast cancer patient. The large number of sites sampled, together with deep whole-genome sequencing and advanced computational analysis, allowed us to comprehensively reconstruct the tumor's evolution at subclonal resolution. RESULTS The most unique, previously unreported aspect of the tumor's evolution that we observed in this patient was the presence of "subclone incubators," defined as metastatic sites where substantial tumor evolution occurs before colonization of additional sites and organs by subclones that initially evolved at the incubator site. Overall, we identified four discrete waves of metastatic expansions, each of which resulted in a number of new, genetically similar metastasis sites that also enriched for particular organs (e.g., abdominal vs bone and brain). The lung played a critical role in facilitating metastatic spread in this patient: the lung was the first site of metastatic escape from the primary breast lesion, subclones at this site were likely the source of all four subsequent metastatic waves, and multiple sites in the lung acted as subclone incubators. Finally, functional annotation revealed that many known drivers or metastasis-promoting tumor mutations in this patient were shared by some, but not all metastatic sites, highlighting the need for more comprehensive surveys of a patient's metastases for effective clinical intervention. CONCLUSIONS Our analysis revealed the presence of substantial tumor evolution at metastatic incubator sites in a patient, with potentially important clinical implications. Our study demonstrated that sampling of a large number of metastatic sites affords unprecedented detail for studying metastatic evolution.
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Affiliation(s)
- Xiaomeng Huang
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, USA
- Department of Human Genetics, School of Medicine, University of Utah, Salt Lake City, USA
| | - Yi Qiao
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, USA
- Department of Human Genetics, School of Medicine, University of Utah, Salt Lake City, USA
| | - Samuel W Brady
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, USA
- Department of Biomedical Informatics, School of Medicine, University of Utah, Salt Lake City, USA
| | - Rachel E Factor
- Department of Pathology, School of Medicine, University of Utah, Salt Lake City, USA
| | - Erinn Downs-Kelly
- Department of Pathology, School of Medicine, University of Utah, Salt Lake City, USA
| | - Andrew Farrell
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, USA
- Department of Human Genetics, School of Medicine, University of Utah, Salt Lake City, USA
| | - Jasmine A McQuerry
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, USA
- Department of Oncological Sciences, School of Medicine, University of Utah, Salt Lake City, USA
| | - Gajendra Shrestha
- Department of Pharmacology and Toxicology, College of Pharmacy, University of Utah, Salt Lake City, USA
| | - David Jenkins
- Computational Biomedicine, Department of Medicine, Boston University, Boston, USA
| | - W Evan Johnson
- Computational Biomedicine, Department of Medicine, Boston University, Boston, USA
| | - Adam L Cohen
- Department of Internal Medicine, Huntsman Cancer Institute, University of Utah, Salt Lake City, USA
| | - Andrea H Bild
- Department of Medical Oncology & Therapeutics Research, City of Hope, Duarte, USA
| | - Gabor T Marth
- Utah Center for Genetic Discovery, University of Utah, Salt Lake City, USA.
- Department of Human Genetics, School of Medicine, University of Utah, Salt Lake City, USA.
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Kos K, de Visser KE. The Multifaceted Role of Regulatory T Cells in Breast Cancer. ANNUAL REVIEW OF CANCER BIOLOGY-SERIES 2021; 5:291-310. [PMID: 34632244 PMCID: PMC7611782 DOI: 10.1146/annurev-cancerbio-042920-104912] [Citation(s) in RCA: 17] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
The microenvironment of breast cancer hosts a dynamic cross talk between diverse players of the immune system. While cytotoxic immune cells are equipped to control tumor growth and metastasis, tumor-corrupted immunosuppressive immune cells strive to impair effective immunity and promote tumor progression. Of these, regulatory T cells (Tregs), the gatekeepers of immune homeostasis, emerge as multifaceted players involved in breast cancer. Intriguingly, clinical observations suggest that blood and intratumoral Tregs can have strong prognostic value, dictated by breast cancer subtype. Accordingly, emerging preclinical evidence shows that Tregs occupy a central role in breast cancer initiation and progression and provide critical support to metastasis formation. Here, Tregs are not only important for immune escape but also promote tumor progression independent of their immune regulatory capacity. Combining insights into Treg biology with advances made across the rapidly growing field of immuno-oncology is expected to set the stage for the design of more effective immunotherapy strategies.
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Affiliation(s)
- Kevin Kos
- Division of Tumor Biology and Immunology, Oncode Institute, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands
| | - Karin E de Visser
- Division of Tumor Biology and Immunology, Oncode Institute, Netherlands Cancer Institute, 1066 CX Amsterdam, The Netherlands.,Department of Immunology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands
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Koh G, Degasperi A, Zou X, Momen S, Nik-Zainal S. Mutational signatures: emerging concepts, caveats and clinical applications. Nat Rev Cancer 2021; 21:619-637. [PMID: 34316057 DOI: 10.1038/s41568-021-00377-7] [Citation(s) in RCA: 96] [Impact Index Per Article: 32.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 06/08/2021] [Indexed: 02/05/2023]
Abstract
Whole-genome sequencing has brought the cancer genomics community into new territory. Thanks to the sheer power provided by the thousands of mutations present in each patient's cancer, we have been able to discern generic patterns of mutations, termed 'mutational signatures', that arise during tumorigenesis. These mutational signatures provide new insights into the causes of individual cancers, revealing both endogenous and exogenous factors that have influenced cancer development. This Review brings readers up to date in a field that is expanding in computational, experimental and clinical directions. We focus on recent conceptual advances, underscoring some of the caveats associated with using the mutational signature frameworks and highlighting the latest experimental insights. We conclude by bringing attention to areas that are likely to see advancements in clinical applications.
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Affiliation(s)
- Gene Koh
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Andrea Degasperi
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Xueqing Zou
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Sophie Momen
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK
| | - Serena Nik-Zainal
- Department of Medical Genetics, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
- MRC Cancer Unit, School of Clinical Medicine, University of Cambridge, Cambridge, UK.
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Vendramin R, Litchfield K, Swanton C. Cancer evolution: Darwin and beyond. EMBO J 2021; 40:e108389. [PMID: 34459009 PMCID: PMC8441388 DOI: 10.15252/embj.2021108389] [Citation(s) in RCA: 97] [Impact Index Per Article: 32.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/02/2021] [Revised: 06/04/2021] [Accepted: 06/25/2021] [Indexed: 12/16/2022] Open
Abstract
Clinical and laboratory studies over recent decades have established branched evolution as a feature of cancer. However, while grounded in somatic selection, several lines of evidence suggest a Darwinian model alone is insufficient to fully explain cancer evolution. First, the role of macroevolutionary events in tumour initiation and progression contradicts Darwin's central thesis of gradualism. Whole-genome doubling, chromosomal chromoplexy and chromothripsis represent examples of single catastrophic events which can drive tumour evolution. Second, neutral evolution can play a role in some tumours, indicating that selection is not always driving evolution. Third, increasing appreciation of the role of the ageing soma has led to recent generalised theories of age-dependent carcinogenesis. Here, we review these concepts and others, which collectively argue for a model of cancer evolution which extends beyond Darwin. We also highlight clinical opportunities which can be grasped through targeting cancer vulnerabilities arising from non-Darwinian patterns of evolution.
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Affiliation(s)
- Roberto Vendramin
- Cancer Research UK Lung Cancer Centre of ExcellenceUniversity College London Cancer InstituteLondonUK
| | - Kevin Litchfield
- Cancer Research UK Lung Cancer Centre of ExcellenceUniversity College London Cancer InstituteLondonUK
| | - Charles Swanton
- Cancer Research UK Lung Cancer Centre of ExcellenceUniversity College London Cancer InstituteLondonUK
- Cancer Evolution and Genome Instability LaboratoryThe Francis Crick InstituteLondonUK
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Ross EM, Haase K, Van Loo P, Markowetz F. Allele-specific multi-sample copy number segmentation in ASCAT. Bioinformatics 2021; 37:1909-1911. [PMID: 32449758 PMCID: PMC8317109 DOI: 10.1093/bioinformatics/btaa538] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2019] [Revised: 04/08/2020] [Accepted: 05/19/2020] [Indexed: 11/17/2022] Open
Abstract
MOTIVATION Allele-specific copy number alterations are commonly used to trace the evolution of tumours. A key step of the analysis is to segment genomic data into regions of constant copy number. For precise phylogenetic inference, breakpoints shared between samples need to be aligned to each other. RESULTS Here, we present asmultipcf, an algorithm for allele-specific segmentation of multiple samples that infers private and shared segment boundaries of phylogenetically related samples. The output of this algorithm can directly be used for allele-specific copy number calling using ASCAT. AVAILABILITY AND IMPLEMENTATION asmultipcf is available as part of the ASCAT R package (version ≥2.5) from github.com/Crick-CancerGenomics/ascat/.
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Affiliation(s)
- Edith M. Ross
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK
| | | | | | - Florian Markowetz
- Cancer Research UK Cambridge Institute, University of Cambridge, Cambridge CB2 0RE, UK
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De Mattos-Arruda L. PIK3CA mutation inhibition in hormone receptor-positive breast cancer: time has come. ESMO Open 2021; 5:S2059-7029(20)32667-3. [PMID: 32817061 PMCID: PMC7437706 DOI: 10.1136/esmoopen-2020-000890] [Citation(s) in RCA: 7] [Impact Index Per Article: 2.3] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/02/2020] [Accepted: 07/04/2020] [Indexed: 01/04/2023] Open
Affiliation(s)
- Leticia De Mattos-Arruda
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain .,Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
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Yu Z, Song M, Chouchane L, Ma X. Functional Genomic Analysis of Breast Cancer Metastasis: Implications for Diagnosis and Therapy. Cancers (Basel) 2021; 13:cancers13133276. [PMID: 34208889 PMCID: PMC8268362 DOI: 10.3390/cancers13133276] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2021] [Revised: 06/29/2021] [Accepted: 06/29/2021] [Indexed: 12/11/2022] Open
Abstract
Simple Summary Metastasis remains the greatest cause of fatalities in breast cancer patients world-wide. The process of metastases is highly complex, and the current research efforts in this area are still rather fragmented. The revolution of genomic profiling methods to analyze samples from human and animal models dramatically improved our understanding of breast cancer metastasis. This article summarizes the recent breakthroughs in genomic analyses of breast cancer metastasis and discusses their implications for prognostic and therapeutic applications. Abstract Breast cancer (BC) is one of the most diagnosed cancers worldwide and is the second cause of cancer related death in women. The most frequent cause of BC-related deaths, like many cancers, is metastasis. However, metastasis is a complicated and poorly understood process for which there is a shortage of accurate prognostic indicators and effective treatments. With the rapid and ever-evolving development and application of genomic sequencing technologies, many novel molecules were identified that play previously unappreciated and important roles in the various stages of metastasis. In this review, we summarize current advancements in the functional genomic analysis of BC metastasis and discuss about the potential prognostic and therapeutic implications from the recent genomic findings.
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Affiliation(s)
- Ziqi Yu
- Department of Microbiology and Immunology, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA;
- Correspondence: (Z.Y.); (X.M.)
| | - Mei Song
- Department of Microbiology and Immunology, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA;
| | - Lotfi Chouchane
- Department of Genetic Medicine, Weill Cornell Medicine-Qatar, Qatar Foundation, Doha P.O. Box 24144, Qatar;
| | - Xiaojing Ma
- Department of Microbiology and Immunology, Weill Cornell Medicine, 1300 York Avenue, New York, NY 10065, USA;
- Correspondence: (Z.Y.); (X.M.)
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De Mattos-Arruda L, Cortes J, Blanco-Heredia J, Tiezzi DG, Villacampa G, Gonçalves-Ribeiro S, Paré L, Souza CA, Ortega V, Sammut SJ, Cusco P, Fasani R, Chin SF, Perez-Garcia J, Dienstmann R, Nuciforo P, Villagrasa P, Rubio IT, Prat A, Caldas C. The temporal mutational and immune tumour microenvironment remodelling of HER2-negative primary breast cancers. NPJ Breast Cancer 2021; 7:73. [PMID: 34099718 PMCID: PMC8185105 DOI: 10.1038/s41523-021-00282-0] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Accepted: 05/03/2021] [Indexed: 12/30/2022] Open
Abstract
The biology of breast cancer response to neoadjuvant therapy is underrepresented in the literature and provides a window-of-opportunity to explore the genomic and microenvironment modulation of tumours exposed to therapy. Here, we characterised the mutational, gene expression, pathway enrichment and tumour-infiltrating lymphocytes (TILs) dynamics across different timepoints of 35 HER2-negative primary breast cancer patients receiving neoadjuvant eribulin therapy (SOLTI-1007 NEOERIBULIN-NCT01669252). Whole-exome data (N = 88 samples) generated mutational profiles and candidate neoantigens and were analysed along with RNA-Nanostring 545-gene expression (N = 96 samples) and stromal TILs (N = 105 samples). Tumour mutation burden varied across patients at baseline but not across the sampling timepoints for each patient. Mutational signatures were not always conserved across tumours. There was a trend towards higher odds of response and less hazard to relapse when the percentage of subclonal mutations was low, suggesting that more homogenous tumours might have better responses to neoadjuvant therapy. Few driver mutations (5.1%) generated putative neoantigens. Mutation and neoantigen load were positively correlated (R2 = 0.94, p = <0.001); neoantigen load was weakly correlated with stromal TILs (R2 = 0.16, p = 0.02). An enrichment in pathways linked to immune infiltration and reduced programmed cell death expression were seen after 12 weeks of eribulin in good responders. VEGF was downregulated over time in the good responder group and FABP5, an inductor of epithelial mesenchymal transition (EMT), was upregulated in cases that recurred (p < 0.05). Mutational heterogeneity, subclonal architecture and the improvement of immune microenvironment along with remodelling of hypoxia and EMT may influence the response to neoadjuvant treatment.
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Affiliation(s)
- Leticia De Mattos-Arruda
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain.
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain.
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK.
| | - Javier Cortes
- Oncology Department International Breast Cancer Center (IBCC), Quiron Group, Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Ridgewood, NJ, USA
- Breast Cancer Research program, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
- Universidad Europea de Madrid, Faculty of Biomedical and Health Sciences, Department of Medicine, Madrid, Spain
| | - Juan Blanco-Heredia
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Daniel G Tiezzi
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
- Breast Disease Division, Ribeirão Preto School of Medicine, University of São Paulo, São Paulo, Brazil
| | - Guillermo Villacampa
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | | | - Laia Paré
- Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain
- SOLTI Breast Cancer Research Group, Barcelona, Spain
- Translational Genomics and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | - Carla Anjos Souza
- IrsiCaixa, Germans Trias i Pujol University Hospital, Badalona, Spain
- Germans Trias i Pujol Research Institute (IGTP), Badalona, Spain
| | - Vanesa Ortega
- Breast Cancer Research program, Vall d´Hebron Institute of Oncology (VHIO), Barcelona, Spain
| | - Stephen-John Sammut
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
| | - Pol Cusco
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Roberta Fasani
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Suet-Feung Chin
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
| | - Jose Perez-Garcia
- Oncology Department International Breast Cancer Center (IBCC), Quiron Group, Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Barcelona, Spain
- Medica Scientia Innovation Research (MedSIR), Ridgewood, NJ, USA
| | - Rodrigo Dienstmann
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Paolo Nuciforo
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | | | - Isabel T Rubio
- Vall d'Hebron Institute of Oncology (VHIO), Vall d'Hebron University Hospital, Barcelona, Spain
| | - Aleix Prat
- Department of Medical Oncology, Hospital Clinic of Barcelona, Barcelona, Spain
- SOLTI Breast Cancer Research Group, Barcelona, Spain
- Translational Genomics and Targeted Therapeutics in Solid Tumors, August Pi i Sunyer Biomedical Research Institute, Barcelona, Spain
| | - Carlos Caldas
- Cancer Research UK Cambridge Institute, Robinson Way, Cambridge, UK
- Department of Oncology, Cambridge University Hospitals NHS Foundation Trust, Cambridge, UK
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Pereira B, Chen CT, Goyal L, Walmsley C, Pinto CJ, Baiev I, Allen R, Henderson L, Saha S, Reyes S, Taylor MS, Fitzgerald DM, Broudo MW, Sahu A, Gao X, Winckler W, Brannon AR, Engelman JA, Leary R, Stone JR, Campbell CD, Juric D. Cell-free DNA captures tumor heterogeneity and driver alterations in rapid autopsies with pre-treated metastatic cancer. Nat Commun 2021; 12:3199. [PMID: 34045463 PMCID: PMC8160338 DOI: 10.1038/s41467-021-23394-4] [Citation(s) in RCA: 30] [Impact Index Per Article: 10.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/25/2020] [Accepted: 04/23/2021] [Indexed: 02/04/2023] Open
Abstract
In patients with metastatic cancer, spatial heterogeneity of somatic alterations may lead to incomplete assessment of a cancer's mutational profile when analyzing a single tumor biopsy. In this study, we perform sequencing of cell-free DNA (cfDNA) and distinct metastatic tissue samples from ten rapid autopsy cases with pre-treated metastatic cancer. We show that levels of heterogeneity in genetic biomarkers vary between patients but that gene expression signatures representative of the tumor microenvironment are more consistent. Across nine patients with plasma samples available, we are able to detect 62/62 truncal and 47/121 non-truncal point mutations in cfDNA. We observe that mutation clonality in cfDNA is correlated with the number of metastatic lesions in which the mutation is detected and use this result to derive a clonality threshold to classify truncal and non-truncal driver alterations with reasonable specificity. In contrast, mutation truncality is more often incorrectly assigned when studying single tissue samples. Our results demonstrate the utility of a single cfDNA sample relative to that of single tissue samples when treating patients with metastatic cancer.
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Affiliation(s)
- Bernard Pereira
- grid.418424.f0000 0004 0439 2056Novartis Institutes for Biomedical Research, Cambridge, MA USA
| | - Christopher T. Chen
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Lipika Goyal
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Charlotte Walmsley
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Christopher J. Pinto
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Islam Baiev
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Read Allen
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Laura Henderson
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Supriya Saha
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Stephanie Reyes
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Martin S. Taylor
- grid.32224.350000 0004 0386 9924Department of Pathology, Massachusetts General Hospital, Boston, MA USA
| | - Donna M. Fitzgerald
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Maida Williams Broudo
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Avinash Sahu
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Xin Gao
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
| | - Wendy Winckler
- grid.418424.f0000 0004 0439 2056Novartis Institutes for Biomedical Research, Cambridge, MA USA
| | - A. Rose Brannon
- grid.418424.f0000 0004 0439 2056Novartis Institutes for Biomedical Research, Cambridge, MA USA
| | - Jeffrey A. Engelman
- grid.418424.f0000 0004 0439 2056Novartis Institutes for Biomedical Research, Cambridge, MA USA
| | - Rebecca Leary
- grid.418424.f0000 0004 0439 2056Novartis Institutes for Biomedical Research, Cambridge, MA USA
| | - James R. Stone
- grid.32224.350000 0004 0386 9924Department of Pathology, Massachusetts General Hospital, Boston, MA USA
| | - Catarina D. Campbell
- grid.418424.f0000 0004 0439 2056Novartis Institutes for Biomedical Research, Cambridge, MA USA
| | - Dejan Juric
- grid.38142.3c000000041936754XMassachusetts General Hospital Cancer Center, Department of Medicine, Harvard Medical School, Boston, MA USA
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