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Bao Y, Sui X, Wang X, Qu N, Xie Y, Cong Y, Cao X. Extrachromosomal circular DNA landscape of breast cancer with lymph node metastasis. Int J Cancer 2024; 155:756-765. [PMID: 38693790 DOI: 10.1002/ijc.34985] [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: 12/02/2023] [Revised: 03/15/2024] [Accepted: 04/02/2024] [Indexed: 05/03/2024]
Abstract
Breast cancer (BC) is a complex disease with diverse manifestations, often resulting in lymph node metastasis (LNM) and impacting patient prognosis. Extrachromosomal circular DNA (eccDNA) has emerged as a key player in tumorigenesis, yet its contribution to BC LNM remains elusive. Here, we examined primary tumors and matched LNM tissues from 19 BC patients using the Circle-Seq method. We identified a median count of 44,682 eccDNA in primary tumor tissues and 38,057 in their paired LNM tissues. Furthermore, a ladder-like size distribution is observed in both primary tumor and LNM tissues. Meanwhile, similar repeat sequence distribution and GC content are identified from both primary tissue and LNM tissues. Finally, we found that eccDNA from both groups are flanked with palindromic trinucleotide motifs. These observations indicate that eccDNA of primary tumor and LNM tissues are from similar chromosomal origins. However, a subset of miRNA-associated eccDNA displayed selective enrichment in metastatic lesions, such as miR-6730 and miR-548AA1 genes. This observation implicates the function of miRNA-related eccDNA in the metastatic cascade. Our study uncovers the potential significance of these unique eccDNA molecules, shedding light on their role in cancer metastasis.
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Affiliation(s)
- Yuhan Bao
- Breast Center, The Second Hospital of Shandong University, Jinan, China
| | - Xiaolong Sui
- Department of Pathology, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Xiaofei Wang
- Department of Ultrasound, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Nina Qu
- Department of Ultrasound, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Yanjie Xie
- Department of Ultrasound, Laiyang Central Hospital of Yantai City, Yantai, China
| | - Yizi Cong
- Department of Breast Surgery, The Affiliated Yantai Yuhuangding Hospital of Qingdao University, Yantai, China
| | - Xiaoli Cao
- Department of Ultrasound, Yantai Yuhuangding Hospital, Shandong University, Yantai, China
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Harris MA, Savas P, Virassamy B, O'Malley MMR, Kay J, Mueller SN, Mackay LK, Salgado R, Loi S. Towards targeting the breast cancer immune microenvironment. Nat Rev Cancer 2024; 24:554-577. [PMID: 38969810 DOI: 10.1038/s41568-024-00714-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Accepted: 05/31/2024] [Indexed: 07/07/2024]
Abstract
The tumour immune microenvironment is shaped by the crosstalk between cancer cells, immune cells, fibroblasts, endothelial cells and other stromal components. Although the immune tumour microenvironment (TME) serves as a source of therapeutic targets, it is also considered a friend or foe to tumour-directed therapies. This is readily illustrated by the importance of T cells in triple-negative breast cancer (TNBC), culminating in the advent of immune checkpoint therapy in combination with cytotoxic chemotherapy as standard of care for both early and advanced-stage TNBC, as well as recent promising signs of efficacy in a subset of hormone receptor-positive disease. In this Review, we discuss the various components of the immune TME in breast cancer and therapies that target or impact the immune TME, as well as the complexity of host physiology.
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Affiliation(s)
- Michael A Harris
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Peter Savas
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Balaji Virassamy
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Megan M R O'Malley
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Jasmine Kay
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
| | - Scott N Mueller
- Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Parkville, Victoria, Australia
| | - Laura K Mackay
- Department of Microbiology and Immunology at the Peter Doherty Institute for Infection and Immunity, The University of Melbourne, Parkville, Victoria, Australia
| | - Roberto Salgado
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia
- Department of Pathology, ZAS Ziekenhuizen, Antwerp, Belgium
| | - Sherene Loi
- The Sir Peter MacCallum Department of Medical Oncology, University of Melbourne, Melbourne, Victoria, Australia.
- Division of Cancer Research, Peter MacCallum Cancer Centre, Melbourne, Victoria, Australia.
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Pan JW, Tan ZC, Ng PS, Zabidi MMA, Nur Fatin P, Teo JY, Hasan SN, Islam T, Teoh LY, Jamaris S, See MH, Yip CH, Rajadurai P, Looi LM, Taib NAM, Rueda OM, Caldas C, Chin SF, Lim J, Teo SH. Gene expression signature for predicting homologous recombination deficiency in triple-negative breast cancer. NPJ Breast Cancer 2024; 10:60. [PMID: 39030225 PMCID: PMC11271517 DOI: 10.1038/s41523-024-00671-1] [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: 08/16/2023] [Accepted: 07/10/2024] [Indexed: 07/21/2024] Open
Abstract
Triple-negative breast cancers (TNBCs) are a subset of breast cancers that have remained difficult to treat. A proportion of TNBCs arising in non-carriers of BRCA pathogenic variants have genomic features that are similar to BRCA carriers and may also benefit from PARP inhibitor treatment. Using genomic data from 129 TNBC samples from the Malaysian Breast Cancer (MyBrCa) cohort, we developed a gene expression-based machine learning classifier for homologous recombination deficiency (HRD) in TNBCs. The classifier identified samples with HRD mutational signature at an AUROC of 0.93 in MyBrCa validation datasets and 0.84 in TCGA TNBCs. Additionally, the classifier strongly segregated HRD-associated genomic features in TNBCs from TCGA, METABRIC, and ICGC. Thus, our gene expression classifier may identify triple-negative breast cancer patients with homologous recombination deficiency, suggesting an alternative method to identify individuals who may benefit from treatment with PARP inhibitors or platinum chemotherapy.
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Affiliation(s)
- Jia-Wern Pan
- Cancer Research Malaysia, Subang Jaya, Malaysia.
| | | | - Pei-Sze Ng
- Cancer Research Malaysia, Subang Jaya, Malaysia
| | | | | | | | | | - Tania Islam
- Department of Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Li-Ying Teoh
- Department of Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Suniza Jamaris
- Department of Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Mee-Hoong See
- Department of Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | | | - Pathmanathan Rajadurai
- Subang Jaya Medical Centre, Subang Jaya, Malaysia
- Jeffrey Cheah School of Medicine & Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, Subang Jaya, Malaysia
| | - Lai-Meng Looi
- Department of Pathology, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Nur Aishah Mohd Taib
- Department of Surgery, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Oscar M Rueda
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Carlos Caldas
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Robinson Way, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre and Cambridge Experimental Cancer Medicine Centre, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - Suet-Feung Chin
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Joanna Lim
- Cancer Research Malaysia, Subang Jaya, Malaysia
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Malaysia
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
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Tjader NP, Beer AJ, Ramroop J, Tai MC, Ping J, Gandhi T, Dauch C, Neuhausen SL, Ziv E, Sotelo N, Ghanekar S, Meadows O, Paredes M, Gillespie JL, Aeilts AM, Hampel H, Zheng W, Jia G, Hu Q, Wei L, Liu S, Ambrosone CB, Palmer JR, Carpten JD, Yao S, Stevens P, Ho WK, Pan JW, Fadda P, Huo D, Teo SH, McElroy JP, Toland AE. Association of ESR1 Germline Variants with TP53 Somatic Variants in Breast Tumors in a Genome-wide Study. CANCER RESEARCH COMMUNICATIONS 2024; 4:1597-1608. [PMID: 38836758 PMCID: PMC11210444 DOI: 10.1158/2767-9764.crc-24-0026] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Revised: 04/16/2024] [Accepted: 05/21/2024] [Indexed: 06/06/2024]
Abstract
In breast tumors, somatic mutation frequencies in TP53 and PIK3CA vary by tumor subtype and ancestry. Emerging data suggest tumor mutation status is associated with germline variants and genetic ancestry. We aimed to identify germline variants that are associated with somatic TP53 or PIK3CA mutation status in breast tumors. A genome-wide association study was conducted in 2,850 women of European ancestry with breast cancer using TP53 and PIK3CA mutation status (positive or negative) as well as specific functional categories [e.g., TP53 gain-of-function (GOF) and loss-of-function, PIK3CA activating] as phenotypes. Germline variants showing evidence of association were selected for validation analyses and tested in multiple independent datasets. Discovery association analyses found five variants associated with TP53 mutation status with P values <1 × 10-6 and 33 variants with P values <1 × 10-5. Forty-four variants were associated with PIK3CA mutation status with P values <1 × 10-5. In validation analyses, only variants at the ESR1 locus were associated with TP53 mutation status after multiple comparisons corrections. Combined analyses in European and Malaysian populations found ESR1 locus variants rs9383938 and rs9479090 associated with the presence of TP53 mutations overall (P values 2 × 10-11 and 4.6 × 10-10, respectively). rs9383938 also showed association with TP53 GOF mutations (P value 6.1 × 10-7). rs9479090 showed suggestive evidence (P value 0.02) for association with TP53 mutation status in African ancestry populations. No other variants were significantly associated with TP53 or PIK3CA mutation status. Larger studies are needed to confirm these findings and determine if additional variants contribute to ancestry-specific differences in mutation frequency. SIGNIFICANCE Emerging data show ancestry-specific differences in TP53 and PIK3CA mutation frequency in breast tumors suggesting that germline variants may influence somatic mutational processes. This study identified variants near ESR1 associated with TP53 mutation status and identified additional loci with suggestive association which may provide biological insight into observed differences.
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Affiliation(s)
- Nijole P. Tjader
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Abigail J. Beer
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Johnny Ramroop
- The City College of New York, City University of New York, New York, New York
| | - Mei-Chee Tai
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
| | - Jie Ping
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Tanish Gandhi
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, Ohio
- The Ohio State University Medical School, Columbus, Ohio
| | - Cara Dauch
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
- The Ohio State University Wexner Medical Center, Clinical Trials Office, Columbus, Ohio
| | - Susan L. Neuhausen
- Department of Population Sciences, Beckman Research Institute of City of Hope, Duarte, California
| | - Elad Ziv
- Helen Diller Family Comprehensive Cancer Center, University of California, San Francisco, San Francisco, California
- Department of Medicine, University of California, San Francisco, San Francisco, California
- Institute for Human Genetics, University of California San Francisco, San Francisco, California
| | - Nereida Sotelo
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Shreya Ghanekar
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
| | - Owen Meadows
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, Ohio
| | - Monica Paredes
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, Ohio
| | | | - Amber M. Aeilts
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, Ohio
| | - Heather Hampel
- Department of Medical Oncology and Therapeutics Research, City of Hope National Medical Center, Duarte, California
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Guochong Jia
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, Tennessee
| | - Qiang Hu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Lei Wei
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Christine B. Ambrosone
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Julie R. Palmer
- Slone Epidemiology Center at Boston University, Boston, Massachusetts
| | - John D. Carpten
- City of Hope Comprehensive Cancer Center, Duarte, California
- Department of Integrative Translational Sciences, City of Hope, Duarte, California
| | - Song Yao
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Patrick Stevens
- Bioinformatics Shared Resource, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Weang-Kee Ho
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Selangor, Malaysia
| | - Jia Wern Pan
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
| | - Paolo Fadda
- Genomics Shared Resource, The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, Illinois
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- Faculty of Medicine, University Malaya Cancer Research Institute, University of Malaya, Kuala Lumpur, Malaysia
| | - Joseph Paul McElroy
- Department of Biomedical Informatics, The Ohio State University Center for Biostatistics, Columbus, Ohio
| | - Amanda E. Toland
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, Ohio
- The Ohio State University Comprehensive Cancer Center, Columbus, Ohio
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, Ohio
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Rajadurai P, Ravindran S, Lee BR, Md Pauzi SH, Chiew SF, Teoh KH, S Raja Gopal N, Md Yusof M, Yip CH. Consensus Guidelines on Human Epidermal Growth Factor Receptor 2 (HER2)-Low Testing in Breast Cancer in Malaysia. Cancers (Basel) 2024; 16:2325. [PMID: 39001387 PMCID: PMC11240573 DOI: 10.3390/cancers16132325] [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: 05/28/2024] [Revised: 06/18/2024] [Accepted: 06/22/2024] [Indexed: 07/16/2024] Open
Abstract
Breast cancer is one of the most common cancers in Malaysia. Recently, a new nomenclature was introduced for breast cancers with human epidermal growth factor receptor 2 (HER2) immunohistochemistry (IHC) 1+, or 2+ with negative in situ hybridization (ISH), i.e., HER2-low breast cancer. In current clinical practice, these breast cancers are reported as HER2-negative. Clinical trials have shown that HER2-low breast cancer benefits from targeted therapy with anti-HER2 antibody-drug conjugates. Unfortunately, various challenges and obstacles are faced by local pathologists in HER2 testing, which may jeopardize the standard of care for patients with HER2-low breast cancer. This consensus guideline aims to elucidate standard practices pertaining to HER2 testing and HER2-low interpretation in Malaysia. Topics discussed among a panel of local experts include tissue sampling and handling, assay and antibody selection, result interpretation and reporting, and quality assurance. Practice recommendations made in this consensus guideline reflect current international guidelines and, where appropriate, adapted to the Malaysian landscape.
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Affiliation(s)
- Pathmanathan Rajadurai
- Subang Jaya Medical Centre, Subang Jaya 47500, Malaysia
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Petaling Jaya 47500, Malaysia
- Department of Pathology, University of Malaya Medical Centre, Lembah Pantai, Kuala Lumpur 59100, Malaysia
| | - Sarala Ravindran
- Premier Integrated Labs, Pantai Hospital Kuala Lumpur, Kuala Lumpur 59100, Malaysia
| | | | - Suria Hayati Md Pauzi
- Department of Pathology, Faculty of Medicine, Universiti Kebangsaan Malaysia Medical Centre, Kuala Lumpur 56000, Malaysia
| | - Seow Fan Chiew
- Department of Pathology, University of Malaya Medical Centre, Lembah Pantai, Kuala Lumpur 59100, Malaysia
| | - Kean Hooi Teoh
- Sunway Medical Centre, Bandar Sunway, Subang Jaya 47500, Malaysia
| | | | | | - Cheng Har Yip
- Subang Jaya Medical Centre, Subang Jaya 47500, Malaysia
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Reinert T, do Rego FO, Silva MCE, Rodrigues AM, Koyama FC, Gonçalves AC, Pauletto MM, de Carvalho Oliveira LJ, de Resende CAA, Landeiro LCG, Barrios CH, Mano MS, Dienstmann R. The somatic mutation profile of estrogen receptor-positive HER2-negative metastatic breast cancer in Brazilian patients. Front Oncol 2024; 14:1372947. [PMID: 38952553 PMCID: PMC11215150 DOI: 10.3389/fonc.2024.1372947] [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: 01/18/2024] [Accepted: 05/27/2024] [Indexed: 07/03/2024] Open
Abstract
Background Breast cancer is the leading cause of cancer death among women worldwide. Studies about the genomic landscape of metastatic breast cancer (MBC) have predominantly originated from developed nations. There are still limited data on the molecular epidemiology of MBC in low- and middle-income countries. This study aims to evaluate the prevalence of mutations in the PI3K-AKT pathway and other actionable drivers in estrogen receptor (ER)+/HER2- MBC among Brazilian patients treated at a large institution representative of the nation's demographic diversity. Methods We conducted a retrospective observational study using laboratory data (OC Precision Medicine). Our study included tumor samples from patients with ER+/HER2- MBC who underwent routine tumor testing from 2020 to 2023 and originated from several Brazilian centers within the Oncoclinicas network. Two distinct next-generation sequencing (NGS) assays were used: GS Focus (23 genes, covering PIK3CA, AKT1, ESR1, ERBB2, BRCA1, BRCA2, PALB2, TP53, but not PTEN) or GS 180 (180 genes, including PTEN, tumor mutation burden [TMB] and microsatellite instability [MSI]). Results Evaluation of tumor samples from 328 patients was undertaken, mostly (75.6%) with GS Focus. Of these, 69% were primary tumors, while 31% were metastatic lesions. The prevalence of mutations in the PI3K-AKT pathway was 39.3% (95% confidence interval, 33% to 43%), distributed as 37.5% in PIK3CA and 1.8% in AKT1. Stratification by age revealed a higher incidence of mutations in this pathway among patients over 50 (44.5% vs 29.1%, p=0.01). Among the PIK3CA mutations, 78% were canonical (included in the alpelisib companion diagnostic non-NGS test), while the remaining 22% were characterized as non-canonical mutations (identifiable only by NGS test). ESR1 mutations were detected in 6.1%, exhibiting a higher frequency in metastatic samples (15.1% vs 1.3%, p=0.003). Additionally, mutations in BRCA1, BRCA2, or PALB2 were identified in 3.9% of cases, while mutations in ERBB2 were found in 2.1%. No PTEN mutations were detected, nor were TMB high or MSI cases. Conclusion We describe the genomic landscape of Brazilian patients with ER+/HER2- MBC, in which the somatic mutation profile is comparable to what is described in the literature globally. These data are important for developing precision medicine strategies in this scenario, as well as for health systems management and research initiatives.
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Affiliation(s)
- Tomás Reinert
- Oncoclínicas & Co, São Paulo, Brazil
- Grupo Brasileiro de Estudos em Câncer de Mama (GBECAM), Porto Alegre, Brazil
| | | | | | | | | | | | | | | | | | | | | | | | - Rodrigo Dienstmann
- Oncoclínicas & Co, São Paulo, Brazil
- University of Vic – Central University of Catalonia, Vic, Spain
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Heng JE, Raman S, Wong ZY, Beh VJN. Cost minimization analysis of subcutaneous trastuzumab versus intravenous biosimilar trastuzumab: policy recommendations for breast cancer treatment in Malaysia. Daru 2024; 32:67-76. [PMID: 37903943 PMCID: PMC11087381 DOI: 10.1007/s40199-023-00485-9] [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: 04/13/2023] [Accepted: 09/29/2023] [Indexed: 11/01/2023] Open
Abstract
PURPOSE Current clinical practice recommends switching innovator intravenous trastuzumab (IV-TZMi) to subcutaneous trastuzumab (SC-TZM) to save healthcare resources. However, with the availability of biosimilar intravenous trastuzumab (IV-TZMb), there is a need to re-evaluate the recommendation. Hence, this study aims to compare the cost and resource use of SC-TZM and IV-TZMb in a Malaysian public healthcare facility. METHODS This activity-based costing study consists of (1) a retrospective medical record abstraction to determine patient details to estimate drug costs and (2) a time-motion study to quantify personnel time, patient time, and consumables used. The total cost of both SC-TZM and IV-TZMb were then compared using a cost-minimization approach, while differences were explored using an independent t-test. A sensitivity analysis was also conducted to determine the impact of uncertainties in the analysis. RESULTS The mean total cost of SC-TZM and IV-TZMb was USD 13,693 and USD 5,624 per patient respectively. The cost difference was primarily contributed by savings in drug cost of IV-TZMb, a reduction of USD 8,546 (SD = 134), p < 0.001 compared to SC-TZM. Interestingly, SC-TZM had a significantly lower cost than IV-TZMb for both the consumable and personnel cost, a reduction by USD 300 (SD = 17.6); p < 0.001 and USD 176 (SD = 7.3); p < 0.001 respectively. The sensitivity analysis demonstrated that the total cost difference between the formulation was mainly driven by drug costs. CONCLUSION The study evidenced that IV-TZMb was a more economically viable option in Malaysian public healthcare currently compared to SC-TZM.
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Affiliation(s)
- Jin Ee Heng
- Pharmacy Department, Penang General Hospital, Ministry of Health Malaysia, Penang, Malaysia.
| | - Sivaraj Raman
- Centre for Health Economics Research, Institute for Health Systems Research, National Institutes of Health, Shah Alam, Malaysia
| | - Zhi Yen Wong
- Pharmacy Department, Penang General Hospital, Ministry of Health Malaysia, Penang, Malaysia
| | - Valerine Jen Nin Beh
- Pharmacy Department, Penang General Hospital, Ministry of Health Malaysia, Penang, Malaysia
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8
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Chen S, Tse K, Lu Y, Chen S, Tian Y, Tan KT, Li C. Comprehensive genomic profiling and therapeutic implications for Taiwanese patients with treatment-naïve breast cancer. Cancer Med 2024; 13:e7384. [PMID: 38895905 PMCID: PMC11187859 DOI: 10.1002/cam4.7384] [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: 11/06/2023] [Revised: 03/29/2024] [Accepted: 05/28/2024] [Indexed: 06/21/2024] Open
Abstract
BACKGROUND Breast cancer is a heterogeneous disease categorized based on molecular characteristics, including hormone receptor (HR) and human epidermal growth factor receptor 2 (HER2) expression levels. The emergence of profiling technology has revealed multiple driver genomic alterations within each breast cancer subtype, serving as biomarkers to predict treatment outcomes. This study aimed to explore the genomic landscape of breast cancer in the Taiwanese population through comprehensive genomic profiling (CGP) and identify diagnostic and predictive biomarkers. METHODS Targeted next-generation sequencing-based CGP was performed on 116 archived Taiwanese breast cancer specimens, assessing genomic alterations (GAs), including single nucleotide variants, copy number variants, fusion genes, tumor mutation burden (TMB), and microsatellite instability (MSI) status. Predictive variants for FDA-approved therapies were evaluated within each subtype. RESULTS In the cohort, frequent mutations included PIK3CA (39.7%), TP53 (36.2%), KMT2C (9.5%), GATA3 (8.6%), and SF3B1 (6.9%). All subtypes had low TMB, with no MSI-H tumors. Among HR + HER2- patients, 42% (27/65) harbored activating PIK3CA mutations, implying potential sensitivity to PI3K inhibitors and resistance to endocrine therapies. HR + HER2- patients exhibited intrinsic hormonal resistance via FGFR1 gene gain/amplification (15%), exclusive of PI3K/AKT pathway alterations. Aberrations in the PI3K/AKT/mTOR and FGFR pathways were implicated in chemoresistance, with a 52.9% involvement in triple-negative breast cancer. In HER2+ tumors, 50% harbored GAs potentially conferring resistance to anti-HER2 therapies, including PIK3CA mutations (32%), MAP3K1 (2.9%), NF1 (2.9%), and copy number gain/amplification of FGFR1 (18%), FGFR3 (2.9%), EGFR (2.9%), and AKT2 (2.9%). CONCLUSION This study presents CGP findings for treatment-naïve Taiwanese breast cancer, emphasizing its value in routine breast cancer management, disease classification, and treatment selection.
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Affiliation(s)
- Shang‐Hung Chen
- National Institute of Cancer Research, National Health Research InstitutesTainanTaiwan
- Department of OncologyNational Cheng Kung University Hospital, College of Medicine, National Cheng Kung UniversityTainanTaiwan
| | | | | | | | - Yu‐Feng Tian
- Division of Colorectal Surgery, Department of SurgeryChi Mei Medical CenterTainanTaiwan
- Department of Health and NutritionChia‐Nan University of Pharmacy and ScienceTainanTaiwan
| | - Kien Thiam Tan
- ACT Genomics, Co. Ltd.TaipeiTaiwan
- Anbogen Therapeutics, Inc.TaipeiTaiwan
| | - Chien‐Feng Li
- National Institute of Cancer Research, National Health Research InstitutesTainanTaiwan
- Department of Medical ResearchChi Mei Medical CenterTainanTaiwan
- Institute of Precision MedicineNational Sun Yat‐Sen UniversityKaohsiungTaiwan
- Department of Clinical Pathology and Laboratory MedicineChi Mei Medical CenterTainanTaiwan
- Trans‐omic Laboratory for Precision MedicineChi Mei Medical CenterTainanTaiwan
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9
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Pan JW, Ragu M, Chan WQ, Hasan SN, Islam T, Teoh LY, Jamaris S, See MH, Yip CH, Rajadurai P, Looi LM, Taib NAM, Rueda OM, Caldas C, Chin SF, Lim J, Teo SH. Clustering of HR + /HER2- breast cancer in an Asian cohort is driven by immune phenotypes. Breast Cancer Res 2024; 26:67. [PMID: 38649964 PMCID: PMC11035138 DOI: 10.1186/s13058-024-01826-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2024] [Accepted: 04/15/2024] [Indexed: 04/25/2024] Open
Abstract
Breast cancer exhibits significant heterogeneity, manifesting in various subtypes that are critical in guiding treatment decisions. This study aimed to investigate the existence of distinct subtypes of breast cancer within the Asian population, by analysing the transcriptomic profiles of 934 breast cancer patients from a Malaysian cohort. Our findings reveal that the HR + /HER2- breast cancer samples display a distinct clustering pattern based on immune phenotypes, rather than conforming to the conventional luminal A-luminal B paradigm previously reported in breast cancers from women of European descent. This suggests that the activation of the immune system may play a more important role in Asian HR + /HER2- breast cancer than has been previously recognized. Analysis of somatic mutations by whole exome sequencing showed that counter-intuitively, the cluster of HR + /HER2- samples exhibiting higher immune scores was associated with lower tumour mutational burden, lower homologous recombination deficiency scores, and fewer copy number aberrations, implicating the involvement of non-canonical tumour immune pathways. Further investigations are warranted to determine the underlying mechanisms of these pathways, with the potential to develop innovative immunotherapeutic approaches tailored to this specific patient population.
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Affiliation(s)
- Jia-Wern Pan
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia.
| | - Mohana Ragu
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
| | - Wei-Qin Chan
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
| | | | - Tania Islam
- Department of Surgery, Faculty of Medicine, University Malaya, 50603, Kuala Lumpur, Malaysia
| | - Li-Ying Teoh
- Department of Surgery, Faculty of Medicine, University Malaya, 50603, Kuala Lumpur, Malaysia
| | - Suniza Jamaris
- Department of Surgery, Faculty of Medicine, University Malaya, 50603, Kuala Lumpur, Malaysia
| | - Mee-Hoong See
- Department of Surgery, Faculty of Medicine, University Malaya, 50603, Kuala Lumpur, Malaysia
| | - Cheng-Har Yip
- Subang Jaya Medical Centre, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
| | - Pathmanathan Rajadurai
- Subang Jaya Medical Centre, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Jalan Lagoon Selatan, Bandar Sunway, 47500, Subang Jaya, Malaysia
| | - Lai-Meng Looi
- Department of Pathology, Faculty of Medicine, University Malaya, 50603, Kuala Lumpur, Malaysia
| | - Nur Aishah Mohd Taib
- Department of Surgery, Faculty of Medicine, University Malaya, 50603, Kuala Lumpur, Malaysia
| | - Oscar M Rueda
- MRC Biostatistics Unit, University of Cambridge, Cambridge, UK
| | - Carlos Caldas
- Department of Oncology, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
- NIHR Cambridge Biomedical Research Centre and Cambridge Experimental Cancer Medicine Centre, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - Suet-Feung Chin
- Department of Oncology, Cancer Research UK Cambridge Institute, Li Ka Shing Centre, Robinson Way, Cambridge, CB2 0RE, UK
| | - Joanna Lim
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
| | - Soo-Hwang Teo
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
- Faculty of Medicine, University Malaya Cancer Research Institute, University Malaya, 50603, Kuala Lumpur, Malaysia
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Bahrin NWS, Matusin SNI, Mustapa A, Huat LZ, Perera S, Hamid MRWHA. Exploring the effectiveness of molecular subtypes, biomarkers, and genetic variations as first-line treatment predictors in Asian breast cancer patients: a systematic review and meta-analysis. Syst Rev 2024; 13:100. [PMID: 38576013 PMCID: PMC10993489 DOI: 10.1186/s13643-024-02520-5] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/17/2023] [Accepted: 03/23/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND Breast cancer incidence has been on the rise significantly in the Asian population, occurring at an earlier age and a later stage. The potential predictive value of molecular subtypes, biomarkers, and genetic variations has not been deeply explored in the Asian population. This study evaluated the effect of molecular subtype classification and the presence or absence of biomarkers and genetic variations on pathological complete response (pCR) after neoadjuvant treatment in Asian breast cancer patients. METHODS A systematic search was conducted in MEDLINE (PubMed), Science Direct, Scopus, and Cochrane Library databases. Studies were selected if they included Asian breast cancer patients treated with neoadjuvant chemotherapy and contained data for qualitative or quantitative analyses. The quality of the included studies was assessed using the Newcastle Ottawa Scale. Following the random effects model, pooled odds ratios or hazard ratios with 95% confidence intervals for pCR were analysed using Review Manager Software. Heterogeneity between studies was assessed using Cochran's Q-test and I2 test statistics. RESULTS In total, 19,708 Asian breast cancer patients were pooled from 101 studies. In the neoadjuvant setting, taxane-anthracycline (TA) chemotherapy showed better pCR outcomes in triple-negative breast cancer (TNBC) (p<0.0001) and human epidermal growth factor receptor 2 enriched (HER2E) (p<0.0001) than luminal breast cancer patients. Similarly, taxane-platinum (TP) chemotherapy also showed better pCR outcomes in TNBC (p<0.0001) and HER2E (p<0.0001). Oestrogen receptor (ER)-negative, progesterone receptor (PR)-negative, HER2-positive and high Ki-67 were significantly associated with better pCR outcomes when treated with either TA or TP. Asian breast cancer patients harbouring wildtype PIK3CA were significantly associated with better pCR outcomes when treated with TA in the neoadjuvant setting (p=0.001). CONCLUSIONS In the neoadjuvant setting, molecular subtypes (HER2E and TNBC), biomarkers (ER, PR, HER2, HR, Ki-67, nm23-H1, CK5/6, and Tau), and gene (PIK3CA) are associated with increased pCR rates in Asian breast cancer patients. Hence, they could be further explored for their possible role in first-line treatment response, which can be utilised to treat breast cancer more efficiently in the Asian population. However, it needs to be further validated with additional powered studies. SYSTEMATIC REVIEW REGISTRATION PROSPERO CRD42021246295.
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Affiliation(s)
- Nurul Wafiqah Saipol Bahrin
- Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah (PAPRSB) Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, BE1410, Negara Brunei Darussalam
| | - Siti Nur Idayu Matusin
- Halalan Thayyiban Research Centre, Universiti Islam Sultan Sharif Ali, Jalan Tutong, Sinaut, TB1741, Negara Brunei Darussalam
| | - Aklimah Mustapa
- Halalan Thayyiban Research Centre, Universiti Islam Sultan Sharif Ali, Jalan Tutong, Sinaut, TB1741, Negara Brunei Darussalam
| | - Lu Zen Huat
- Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah (PAPRSB) Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, BE1410, Negara Brunei Darussalam
| | - Sriyani Perera
- Faculty of Medicine, University of Peradeniya, Peradeniya, Sri Lanka
| | - Mas Rina Wati Haji Abdul Hamid
- Pengiran Anak Puteri Rashidah Sa'adatul Bolkiah (PAPRSB) Institute of Health Sciences, Universiti Brunei Darussalam, Jalan Tungku Link, Gadong, BE1410, Negara Brunei Darussalam.
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11
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Hashmi AA, Mallick BA, Rashid K, Malik UA, Zia S, Zia F, Irfan M. Significance of Estrogen/Progesterone Receptor Expression in Metaplastic Breast Carcinoma. DISEASE MARKERS 2024; 2024:2540356. [PMID: 38601434 PMCID: PMC11006451 DOI: 10.1155/2024/2540356] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Figures] [Subscribe] [Scholar Register] [Received: 12/02/2023] [Revised: 02/19/2024] [Accepted: 03/21/2024] [Indexed: 04/12/2024]
Abstract
Introduction Metaplastic breast carcinoma (MBC) is a rare subgroup of breast neoplasms associated with adverse outcomes because of its aggressive nature. Typically, MBCs show triple-negative hormone receptor (HR) status. Determining the HR status of breast cancer is an integral part because it is an important prognostic factor and helps in the treatment course of the disease. This study aimed to determine the HR status of MBC, its significance, and its association with various clinicopathological parameters. Methods This was a retrospective study conducted at the Department of Histopathology, Liaquat National Hospital. A total of 140 biopsy-proven cases of MBC were enrolled in the study. Clinical and pathological data were retrieved from the institutes' archives. Immunohistochemical studies were conducted to determine the estrogen receptor (ER) and progesterone receptor (PR) status. Results The mean age of MBC in our population was found to be 52.18 ± 12.19 years. The HR positivity rate in our population was found to be 32.9%. A significant association was found between HR status and tumor laterality, tumor size, tumor grade, tumor stage, and recurrence. ER/PR-negative MBCs were most probably associated with higher grade and higher tumor stage and were larger in size (6.62 ± 3.43 cm) than ER/PR-positive MBCs (4.20 ± 1.88 cm). Moreover, ER/PR-positive MBCs showed a higher recurrence rate than ER/PR-negative MBCs (43.5% vs. 25.5%, respectively). No statistically significant relationship was found between HR status and patient age, histological subtype, or survival rate. Conclusion MBC is a rare breast neoplasm. MBC was found to be triple negative in most cases, but a significant percentage were HR (ER/PR) positive. Moreover, we found an association between HR status and various clinicopathological features, indicating that HR status is a significant predictor of MBC prognosis.
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Affiliation(s)
- Atif Ali Hashmi
- FRCPath, Department of Histopathology, Liaquat National Hospital and Medical College, Karachi 74800, Pakistan
| | - Bakhtawar Allauddin Mallick
- Zainab Panjwani Memorial Hospital, Karachi 74800, Pakistan
- Emergency Medicine, Al-Rayaz Hospital, Karachi 75850, Pakistan
- Prime Cardiology of Nevada, Las Vegas 89128, USA
| | - Khushbakht Rashid
- Department of Nephrology, Sindh Institute of Urology and Transplantation, Karachi 74200, Pakistan
| | - Umair Arshad Malik
- Department of Internal Medicine, Aga Khan University, Karachi 74800, Pakistan
| | - Shamail Zia
- Department of Pathology, Jinnah Sindh Medical University, Karachi 75510, Pakistan
| | - Fazail Zia
- Department of Pathology, Jinnah Sindh Medical University, Karachi 75510, Pakistan
| | - Muhammad Irfan
- Department of Biostatistics, Liaquat National Hospital and Medical College, Karachi 74800, Pakistan
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12
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Jiang YZ, Ma D, Jin X, Xiao Y, Yu Y, Shi J, Zhou YF, Fu T, Lin CJ, Dai LJ, Liu CL, Zhao S, Su GH, Hou W, Liu Y, Chen Q, Yang J, Zhang N, Zhang WJ, Liu W, Ge W, Yang WT, You C, Gu Y, Kaklamani V, Bertucci F, Verschraegen C, Daemen A, Shah NM, Wang T, Guo T, Shi L, Perou CM, Zheng Y, Huang W, Shao ZM. Integrated multiomic profiling of breast cancer in the Chinese population reveals patient stratification and therapeutic vulnerabilities. NATURE CANCER 2024; 5:673-690. [PMID: 38347143 DOI: 10.1038/s43018-024-00725-0] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/02/2022] [Accepted: 01/04/2024] [Indexed: 04/30/2024]
Abstract
Molecular profiling guides precision treatment of breast cancer; however, Asian patients are underrepresented in publicly available large-scale studies. We established a comprehensive multiomics cohort of 773 Chinese patients with breast cancer and systematically analyzed their genomic, transcriptomic, proteomic, metabolomic, radiomic and digital pathology characteristics. Here we show that compared to breast cancers in white individuals, Asian individuals had more targetable AKT1 mutations. Integrated analysis revealed a higher proportion of HER2-enriched subtype and correspondingly more frequent ERBB2 amplification and higher HER2 protein abundance in the Chinese HR+HER2+ cohort, stressing anti-HER2 therapy for these individuals. Furthermore, comprehensive metabolomic and proteomic analyses revealed ferroptosis as a potential therapeutic target for basal-like tumors. The integration of clinical, transcriptomic, metabolomic, radiomic and pathological features allowed for efficient stratification of patients into groups with varying recurrence risks. Our study provides a public resource and new insights into the biology and ancestry specificity of breast cancer in the Asian population, offering potential for further precision treatment approaches.
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Affiliation(s)
- Yi-Zhou Jiang
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
| | - Ding Ma
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Xi Jin
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Yi Xiao
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Ying Yu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Jinxiu Shi
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, China
| | - Yi-Fan Zhou
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Tong Fu
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Cai-Jin Lin
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Lei-Jie Dai
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Cheng-Lin Liu
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Shen Zhao
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Guan-Hua Su
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wanwan Hou
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Yaqing Liu
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Qingwang Chen
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Jingcheng Yang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
- Greater Bay Area Institute of Precision Medicine, Guangzhou, China
| | - Naixin Zhang
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
| | - Wen-Juan Zhang
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China
| | - Wei Liu
- Westlake Omics (Hangzhou) Biotechnology, Hangzhou, China
| | - Weigang Ge
- Westlake Omics (Hangzhou) Biotechnology, Hangzhou, China
| | - Wen-Tao Yang
- Department of Pathology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Chao You
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Yajia Gu
- Department of Radiology, Fudan University Shanghai Cancer Center, Shanghai, China
| | - Virginia Kaklamani
- Division Haematology/Oncology, University of Texas Health Science Center at San Antonio, San Antonio, TX, USA
| | - François Bertucci
- Predictive Oncology Laboratory and Department of Medical Oncology, CRCM, Institut Paoli-Calmettes, Inserm UMR1068, CNRS UMR7258, Aix-Marseille Université, Marseille, France
| | | | - Anneleen Daemen
- Department of Bioinformatics and Computational Biology, Genentech, South San Francisco, CA, USA
| | - Nakul M Shah
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
| | - Ting Wang
- Department of Genetics, Washington University School of Medicine, St. Louis, MO, USA
- Edison Family Center for Genome Sciences and Systems Biology, Washington University School of Medicine, St. Louis, MO, USA
- McDonnell Genome Institute, Washington University School of Medicine, St. Louis, MO, USA
| | - Tiannan Guo
- Westlake Center for Intelligent Proteomics, Westlake Laboratory of Life Sciences and Biomedicine, Hangzhou, China
- School of Medicine, School of Life Sciences, Westlake University, Hangzhou, China
- Research Center for Industries of the Future, Westlake University, Hangzhou, China
| | - Leming Shi
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China
- International Human Phenome Institutes (Shanghai), Shanghai, China
| | - Charles M Perou
- Lineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA
| | - Yuanting Zheng
- State Key Laboratory of Genetic Engineering, School of Life Sciences, Human Phenome Institute and Shanghai Cancer Center, Fudan University, Shanghai, China.
| | - Wei Huang
- Shanghai-MOST Key Laboratory of Health and Disease Genomics, Shanghai Institute for Biomedical and Pharmaceutical Technologies (SIBPT), Shanghai, China.
| | - Zhi-Ming Shao
- Key Laboratory of Breast Cancer, Department of Breast Surgery, Fudan University Shanghai Cancer Center; Department of Oncology, Shanghai Medical College, Fudan University, Shanghai, China.
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Sarfraz Z, Sarfraz A, Mehak O, Akhund R, Bano S, Aftab H. Racial and socioeconomic disparities in triple-negative breast cancer treatment. Expert Rev Anticancer Ther 2024; 24:107-116. [PMID: 38436305 DOI: 10.1080/14737140.2024.2326575] [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: 08/09/2023] [Accepted: 02/29/2024] [Indexed: 03/05/2024]
Abstract
INTRODUCTION Triple-negative breast cancer (TNBC) continues to be a significant concern, especially among minority populations, where treatment disparities are notably pronounced. Addressing these disparities, especially among African American women and other minorities, is crucial for ensuring equitable healthcare. AREAS COVERED This review delves into the continuum of TNBC treatment, noting that the standard of care, previously restricted to chemotherapy, has now expanded due to emerging clinical trial results. With advances like PARP inhibitors, immunotherapy, and antibody-drug conjugates, a more personalized treatment approach is on the horizon. The review highlights innovative interventions tailored for minorities, such as utilizing technology like text messaging, smartphone apps, and targeted radio programming, coupled with church-based behavioral interventions. EXPERT OPINION Addressing TNBC treatment disparities demands a multifaceted approach, blending advanced medical treatments with culturally sensitive community outreach. The potential of technology, especially in the realm of promoting health awareness, is yet to be fully harnessed. As the field progresses, understanding and integrating the socio-economic, biological, and access-related challenges faced by minorities will be pivotal for achieving health equity in TNBC care.
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Affiliation(s)
- Zouina Sarfraz
- Department of Medicine, Fatima Jinnah Medical University, Lahore, Pakistan
| | - Azza Sarfraz
- Department of Pediatrics, Aga Khan University, Karachi, Pakistan
| | - Onaiza Mehak
- Department of Medicine, Aziz Fatimah Medical and Dental College, Faisalabad, Pakistan
| | - Ramsha Akhund
- Department of Surgery, University of Alabama at Birmingham, Tuscaloosa, AL, USA
| | - Shehar Bano
- Department of Medicine, Fatima Jinnah Medical University, Lahore, Pakistan
| | - Hinna Aftab
- Department of Medicine, CMH Lahore Medical College, Lahore, Pakistan
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Xiong M, Wang X, Liu D, Xiu B, Zhang Q, Chi W, Goh CW, Zhang L, Chen M, Ren H, Shao Z, Yang B, Wu J. Somatic mutations in a multigene panel and impact on prognosis based on TP53 status in Chinese HER2-positive patients undergoing neoadjuvant therapy: A single-institution retrospective cohort. Cancer Med 2024; 13:e6955. [PMID: 38379328 PMCID: PMC10832311 DOI: 10.1002/cam4.6955] [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: 06/19/2023] [Revised: 12/27/2023] [Accepted: 01/10/2024] [Indexed: 02/22/2024] Open
Abstract
BACKGROUND Gene mutations play a crucial role in the occurrence and development of tumors, particularly in breast cancer (BC). Neoadjuvant therapy (NAT) has shown greater clinical benefit in HER2-positive breast cancer. However, further clinical investigation is needed to fully understand the correlation between genetic mutations and NAT efficacy and the long-term prognosis in HER2-positive BC. METHODS This was a retrospective cohort study of 222 patients receiving NAT between 2017 and 2021 in the Department of Breast Surgery of Fudan University Shanghai Cancer Center. Tumor samples from these patients were subjected to Next Generation Sequencing (NGS) to analyze mutations in 513 cancer-related genes. This study aimed to investigate the association between these genetic mutations and postoperative pathological complete response (pCR), as well as their impact on disease-free survival (DFS). RESULTS In total, 48.65% patients reached pCR, ER-negative status (p < 0.001), PR-negative status (p < 0.001), Ki67 ≥ 20 (p = 0.011), and dual-targeted therapy (p < 0.001) were all associated with enhanced pCR rates. The frequency of somatic alterations in TP53 (60%), PIK3CA (15%), and ERBB2 (11%) was highest. In the HER2+/HR- cohort, patients who achieved pCR had a significant benefit in prognosis (HR = 3.049, p = 0.0498). KMT2C (p = 0.036) and TP53 (p = 0.037) mutations were significantly increased in patients with DFS events. Moreover, TP53 mutations had prognostic significance in HER2-positive BC patients with HR-negative (HR = 3.712, p = 0.027) and pCR (HR = 6.253, p = 0.027) status and who received herceptin-only targeted therapy (HR = 4.145, p = 0.011). CONCLUSIONS The genetic mutation profiles of Chinese HER2+ patients who received NAT were discrepant with respect to HR status or DFS events. TP53 mutations have significant prognostic value in patients with NAT for HER2-positive BC and patients benefit differently depending on HR status, the neoadjuvant regimen and response, which highlights the significance of genetic factors in treatment customization based on individual genetic and clinical characteristics.
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Affiliation(s)
- Min Xiong
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Xuliren Wang
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Douwaner Liu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Bingqiu Xiu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Qi Zhang
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Weiru Chi
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Chih Wan Goh
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Liyi Zhang
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Ming Chen
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Hengyu Ren
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Zhi‐Ming Shao
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Benlong Yang
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
| | - Jiong Wu
- Department of Breast Surgery, Key Laboratory of Breast Cancer in ShanghaiFudan University Shanghai Cancer CenterShanghaiChina
- Collaborative Innovation Center for Cancer MedicineShanghaiChina
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15
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Xu H, Xu B. Breast cancer: Epidemiology, risk factors and screening. Chin J Cancer Res 2023; 35:565-583. [PMID: 38204449 PMCID: PMC10774137 DOI: 10.21147/j.issn.1000-9604.2023.06.02] [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: 11/29/2023] [Accepted: 12/14/2023] [Indexed: 01/12/2024] Open
Abstract
Breast cancer is a global health concern with a significant impact on the well-being of women. Worldwide, the past several decades have witnessed changes in the incidence and mortality of breast cancer. Additionally, epidemiological data reveal distinct geographic and demographic disparities globally. A range of modifiable and non-modifiable risk factors are established as being associated with an increased risk of developing breast cancer. This review discusses genetic, hormonal, behavioral, environmental, and breast-related risk factors. Screening plays a critical role in the effective management of breast cancer. Various screening modalities, including mammography, ultrasound, magnetic resonance imaging (MRI), and physical examination, have different applications, and a combination of these modalities is applied in practice. Current screening recommendations are based on factors including age and risk, with a significant emphasis on minimizing potential harms to achieve an optimal benefits-to-harms ratio. This review provides a comprehensive insight into the epidemiology, risk factors, and screening of breast cancer. Understanding these elements is crucial for improving breast cancer management and reducing its burden on affected individuals and healthcare systems.
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Affiliation(s)
- Hangcheng Xu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
| | - Binghe Xu
- Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing 100021, China
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16
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Tjader NP, Beer AJ, Ramroop J, Tai MC, Ping J, Gandhi T, Dauch C, Neuhausen SL, Ziv E, Sotelo N, Ghanekar S, Meadows O, Paredes M, Gillespie J, Aeilts A, Hampel H, Zheng W, Jia G, Hu Q, Wei L, Liu S, Ambrosone CB, Palmer JR, Carpten JD, Yao S, Stevens P, Ho WK, Pan JW, Fadda P, Huo D, Teo SH, McElroy JP, Toland AE. Association of ESR1 germline variants with TP53 somatic variants in breast tumors in a genome-wide study. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.12.06.23299442. [PMID: 38106140 PMCID: PMC10723566 DOI: 10.1101/2023.12.06.23299442] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/19/2023]
Abstract
Background In breast tumors, somatic mutation frequencies in TP53 and PIK3CA vary by tumor subtype and ancestry. HER2 positive and triple negative breast cancers (TNBC) have a higher frequency of TP53 somatic mutations than other subtypes. PIK3CA mutations are more frequently observed in hormone receptor positive tumors. Emerging data suggest tumor mutation status is associated with germline variants and genetic ancestry. We aimed to identify germline variants that are associated with somatic TP53 or PIK3CA mutation status in breast tumors. Methods A genome-wide association study was conducted using breast cancer mutation status of TP53 and PIK3CA and functional mutation categories including TP53 gain of function (GOF) and loss of function mutations and PIK3CA activating/hotspot mutations. The discovery analysis consisted of 2850 European ancestry women from three datasets. Germline variants showing evidence of association with somatic mutations were selected for validation analyses based on predicted function, allele frequency, and proximity to known cancer genes or risk loci. Candidate variants were assessed for association with mutation status in a multi-ancestry validation study, a Malaysian study, and a study of African American/Black women with TNBC. Results The discovery Germline x Mutation (GxM) association study found five variants associated with one or more TP53 phenotypes with P values <1×10-6, 33 variants associated with one or more TP53 phenotypes with P values <1×10-5, and 44 variants associated with one or more PIK3CA phenotypes with P values <1×10-5. In the multi-ancestry and Malaysian validation studies, germline ESR1 locus variant, rs9383938, was associated with the presence of TP53 mutations overall (P values 6.8×10-5 and 9.8×10-8, respectively) and TP53 GOF mutations (P value 8.4×10-6). Multiple variants showed suggestive evidence of association with PIK3CA mutation status in the validation studies, but none were significant after correction for multiple comparisons. Conclusions We found evidence that germline variants were associated with TP53 and PIK3CA mutation status in breast cancers. Variants near the estrogen receptor alpha gene, ESR1, were significantly associated with overall TP53 mutations and GOF mutations. Larger multi-ancestry studies are needed to confirm these findings and determine if these variants contribute to ancestry-specific differences in mutation frequency.
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Affiliation(s)
- Nijole P. Tjader
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Abigail J. Beer
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Johnny Ramroop
- The City College of New York, City University of New York, New York, NY, USA
| | - Mei-Chee Tai
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
| | - Jie Ping
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Tanish Gandhi
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Medical School, Columbus, OH, 43210, USA
| | - Cara Dauch
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Wexner Medical Center, Clinical Trials Office, Columbus, OH 43210, USA
| | - Susan L. Neuhausen
- Beckman Research Institute of City of Hope, Department of Population Sciences, Duarte, CA, USA
| | - Elad Ziv
- University of California, Helen Diller Family Comprehensive Cancer Center, San Francisco, San Francisco, CA, USA
- University of California, Department of Medicine, San Francisco, San Francisco, CA, USA
- University of California San Francisco, Institute for Human Genetics, San Francisco, CA, USA
| | - Nereida Sotelo
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Shreya Ghanekar
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Owen Meadows
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Monica Paredes
- Biomedical Sciences, The Ohio State University College of Medicine, Columbus, OH 43210, USA
| | - Jessica Gillespie
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
| | - Amber Aeilts
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, 43210, USA
| | - Heather Hampel
- Department of Medical Oncology & Therapeutics Research, City of Hope National Medical Center, Duarte, CA, USA
| | - Wei Zheng
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Guochong Jia
- Division of Epidemiology, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Nashville, TN 37203
| | - Qiang Hu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Lei Wei
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Song Liu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Christine B. Ambrosone
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Julie R. Palmer
- Slone Epidemiology Center at Boston University, Boston, MA, USA
| | - John D. Carpten
- City of Hope Comprehensive Cancer Center, Duarte, CA, USA
- Department of Integrative Translational Sciences, City of Hope, Duarte, CA
| | - Song Yao
- Department of Cancer Control and Prevention, Roswell Park Comprehensive Cancer Center, Buffalo, NY, USA
| | - Patrick Stevens
- The Ohio State University Comprehensive Cancer Center, Bioinformatics Shared Resource, Columbus, OH, USA
| | - Weang-Kee Ho
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Semenyih, Selangor 43500, Malaysia
| | - Jia Wern Pan
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
| | - Paolo Fadda
- The Ohio State University Comprehensive Cancer Center, Genomics Shared Resource, Columbus, OH, USA
| | - Dezheng Huo
- Department of Public Health Sciences, University of Chicago, Chicago, IL, 60637, USA
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Selangor 47500, Malaysia
- Faculty of Medicine, University Malaya Cancer Research Institute, University of Malaya, Kuala Lumpur 50603, Malaysia
| | - Joseph Paul McElroy
- The Ohio State University Center for Biostatistics, Department of Biomedical Informatics, Columbus, OH, USA
| | - Amanda Ewart Toland
- Department of Cancer Biology and Genetics, The Ohio State University College of Medicine, Columbus, OH 43210, USA
- The Ohio State University Comprehensive Cancer Center, Columbus, OH, USA
- Department of Internal Medicine, Division of Human Genetics, The Ohio State University, Columbus, OH, 43210, USA
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Chevalier A, Guo T, Gurevich NQ, Xu J, Yajima M, Campbell JD. Characterization of highly active mutational signatures in tumors from a large Chinese population. MEDRXIV : THE PREPRINT SERVER FOR HEALTH SCIENCES 2023:2023.11.03.23297964. [PMID: 37961450 PMCID: PMC10635259 DOI: 10.1101/2023.11.03.23297964] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 11/15/2023]
Abstract
The majority of mutational signatures have been characterized in tumors from Western countries and the degree to which mutational signatures are similar or different in Eastern populations has not been fully explored. We leveraged a large-scale clinical sequencing cohort of tumors from a Chinese population containing 25 tumor types and found that the highly active mutational signatures were similar to those previously characterized1,2. The aristolochic acid signature SBS22 was observed in four soft tissue sarcomas and the POLE-associated signature SBS10 was observed in a gallbladder carcinoma. In lung adenocarcinoma, the polycyclic aromatic hydrocarbon (PAH) signature SBS4 was significantly higher in males compared to females but not associated with smoking status. The UV-associated signature SBS7 was significantly lower in cutaneous melanomas from the Chinese population compared to a similar American cohort. Overall, these results add to our understanding of the mutational processes that contribute to tumors from the Chinese population.
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Affiliation(s)
- Aaron Chevalier
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Bioinformatics Program, Boston University, Boston, Massachusetts
| | - Tao Guo
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Mathematics & Statistics, Boston University, Boston, Massachusetts
| | - Natasha Q. Gurevich
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Bioinformatics Program, Boston University, Boston, Massachusetts
| | - Jingwen Xu
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Department of Mathematics & Statistics, Boston University, Boston, Massachusetts
| | - Masanao Yajima
- Department of Mathematics & Statistics, Boston University, Boston, Massachusetts
| | - Joshua D. Campbell
- Section of Computational Biomedicine, Department of Medicine, Boston University School of Medicine, Boston, Massachusetts
- Bioinformatics Program, Boston University, Boston, Massachusetts
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18
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Roy AM, Patel A, Catalfamo K, Attwood K, Khoury T, Yao S, Gandhi S. Racial and Ethnic Disparity in Preoperative Chemosensitivity and Survival in Patients With Early-Stage Breast Cancer. JAMA Netw Open 2023; 6:e2344517. [PMID: 37991763 PMCID: PMC10665980 DOI: 10.1001/jamanetworkopen.2023.44517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/09/2023] [Accepted: 10/05/2023] [Indexed: 11/23/2023] Open
Abstract
Importance It remains unclear what survival benefit is associated with preoperative chemosensitivity after receiving neoadjuvant chemotherapy (NACT) among patients with resectable breast cancer from diverse racial and ethnic backgrounds. Objective To investigate racial and ethnic disparities in chemosensitivity and association with survival in patients with early-stage breast cancer. Design, Setting, and Participants This retrospective cohort study queried data from the National Cancer Database (NCDB) between calendar years 2010 and 2018. Participants included patients with breast cancer with clinical stage I to III disease treated with NACT. Preoperative chemosensitivity was defined as very sensitive (ypT0N0), sensitive (pathologic TNM stage less than clinical stage, excluding ypT0N0), and refractory (pathologic stage greater than or equal to clinical stage). Data were analyzed in November 2022. Exposure Receipt of NACT and clinicopathologic and treatment factors contributing to racial and ethnic disparities in survival. Main Outcomes and Measures Overall survival of patients from diverse racial and ethnic backgrounds who received NACT. Results This study included 103 605 patients (median age, 53 [IQR, 44-62] years, 99.5% [n = 103 060] women, and 68.7% [n = 71 203] White race). Among them, breast cancer was refractory in 43.2% (n = 44 796), sensitive in 34.4% (n = 35 638), and very sensitive in 22.4% (n = 23 171) of patients. In the hormone receptor-positive ERBB2 negative (formerly HER2 negative) group, patients had more refractory disease regardless of race or ethnicity (all races and ethnicities refractory: 54%-59%; P < .001). Among ERBB2 positive disease, Black patients had a lower percentage of very sensitive disease (32% vs 37%-40%; P < .001) and among triple-negative breast cancer, more refractory disease was seen among Black patients compared with other races and ethnicities (38% vs 30%-35%; P < .001). In refractory (hazard ratio [HR], 1.53; 95% CI, 1.47-1.60; P < .001) and sensitive (HR, 1.25; 95% CI, 1.17-1.33; P < .001) disease, Black patients had a higher mortality risk compared with White patients in the overall cohort. Asian patients had a lower mortality risk compared with White patients in refractory (HR, 0.71; 95% CI, 0.63-0.80; P < .001), sensitive (HR, 0.58; 95% CI, 0.49-0.69; P < .001), and very sensitive (HR, 0.60; 95% CI, 0.43-0.82; P < .001) disease groups in the overall cohort. Conclusions and Relevance In this cohort study, Black patients had a higher mortality risk compared with White patients among those with residual disease after NACT. This highlights the need for personalized treatment strategies for Black patients to help them attain pathologic complete response.
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Affiliation(s)
- Arya Mariam Roy
- Department of Hematology and Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Archit Patel
- Department of Hematology and Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Kayla Catalfamo
- Department of Biostatistics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Kristopher Attwood
- Department of Biostatistics, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Thaer Khoury
- Department of Pathology, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Song Yao
- Department of Cancer Prevention & Control, Roswell Park Comprehensive Cancer Center, Buffalo, New York
| | - Shipra Gandhi
- Department of Hematology and Oncology, Roswell Park Comprehensive Cancer Center, Buffalo, New York
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19
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Lim DW, Li WW, Giannakeas V, Cil TD, Narod SA. Survival of Filipino women with breast cancer in the United States. Cancer Med 2023; 12:19921-19934. [PMID: 37755311 PMCID: PMC10587940 DOI: 10.1002/cam4.6403] [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: 12/03/2022] [Revised: 07/18/2023] [Accepted: 07/23/2023] [Indexed: 09/28/2023] Open
Abstract
BACKGROUND The survival of women with early-stage breast cancer varies by racial group. Filipino women with breast cancer are an understudied group and are often combined with other Asian groups. We compared clinical presentations and survival rates for Filipino and White women with breast cancer diagnosed in the United States. METHODS We conducted a retrospective cohort study of women with breast cancer diagnosed between 2004 and 2015 in the SEER18 registries database. We compared crude survival between Filipino and White women. We then calculated adjusted hazard ratios (HR) in a propensity-matched design using the Cox proportional hazards model. RESULTS There were 10,834 Filipino (2.5%) and 414,618 White women (97.5%) with Stage I-IV breast cancer in the SEER database. The mean age at diagnosis was 57.5 years for Filipino women and 60.8 years for White women (p < 0.0001). Filipino women had more high-grade and larger tumors than White women and were more likely to have node-positive disease. Among women with Stage I-IIIC breast cancer, the crude 10-year breast cancer-specific survival rate was 91.0% for Filipino and 88.9% for White women (HR 0.81, 95% CI 0.74-0.88, p < 0.01). In a propensity-matched analysis, the HR was 0.73 (95% CI 0.66-0.81). The survival advantage for Filipino women was present in subgroups defined by age of diagnosis, nodal status, estrogen receptor status, and HER2 receptor status. CONCLUSION In the United States, Filipino women often present with more advanced breast cancers than White women, but experience better breast cancer-specific survival.
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Affiliation(s)
- David W. Lim
- Temerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Women's College Research Institute, Women's College HospitalTorontoOntarioCanada
- Department of SurgeryWomen's College HospitalTorontoOntarioCanada
- Division of General Surgery, Department of SurgeryUniversity of TorontoTorontoOntarioCanada
| | - Winston W. Li
- Temerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
| | - Vasily Giannakeas
- Women's College Research Institute, Women's College HospitalTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
| | - Tulin D. Cil
- Temerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Department of SurgeryWomen's College HospitalTorontoOntarioCanada
- Division of General Surgery, Department of SurgeryUniversity of TorontoTorontoOntarioCanada
- Division of General SurgeryUniversity Health Network (Princess Margaret Cancer Centre)TorontoOntarioCanada
| | - Steven A. Narod
- Temerty Faculty of MedicineUniversity of TorontoTorontoOntarioCanada
- Women's College Research Institute, Women's College HospitalTorontoOntarioCanada
- Dalla Lana School of Public HealthUniversity of TorontoTorontoOntarioCanada
- Institute of Medical Science, University of TorontoTorontoOntarioCanada
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20
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Peng S, Lin C, Chen I, Shen Y, Chang D, Chen TW, Huang S, Hu F, Lu Y. Disparity in survival benefits of pembrolizumab between Asian and non-Asian patients with advanced cancers: A systematic review and meta-regression analysis. Cancer Med 2023; 12:20035-20051. [PMID: 37737544 PMCID: PMC10587960 DOI: 10.1002/cam4.6563] [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: 05/25/2023] [Revised: 08/23/2023] [Accepted: 09/11/2023] [Indexed: 09/23/2023] Open
Abstract
BACKGROUND Immune checkpoint inhibitors have revolutionized the treatment of malignancies. However, disproportionate enrollment among races and ethnicities places the generalizability of global trial results in doubt. METHODS In this systematic review, phase 3 randomized controlled trials investigating pembrolizumab in advanced cancers and providing subgroup analyses of Asian and non-Asian participants were included. The primary and secondary effect measures were the mean differences (MDs) in the natural logarithms of the hazard ratios (HRs) for overall survival (OS) and progression-free survival (PFS) between these two subgroups, respectively. We used random-effects meta-analysis to calculate the pooled ratios of HRs (i.e., exp(MD)) and implemented a meta-regression analysis to identify significant covariates. RESULTS A total of 17 and 11 trials were included in the meta-analyses of OS and PFS, respectively. These trials included 2732 (25.49%) Asian and 7000 (65.32%) non-Asian participants in the OS analysis and 1438 (22.5%) Asian and 4129 (64.61%) non-Asian participants in the PFS analysis. The pooled ratio of HRs for OS was 0.87 (95% CI: 0.76-0.99; p = 0.0391), favoring Asian participants, but no significant difference was found in PFS (pooled ratio of HRs: 0.93; 95% CI: 0.82-1.07; p = 0.2391). Both linear meta-regression analyses revealed an open-label design as a crucial covariate, which indicated more benefits for non-Asian participants. CONCLUSIONS Compared with non-Asian patients, Asian patients with advanced cancers may derive superior OS benefits from pembrolizumab. Although the results warrant further exploration, this meta-analysis provides insight into clinical research design.
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Affiliation(s)
- Shang‐Hsuan Peng
- Department of OncologyNational Taiwan University Hospital Yunlin BranchYunlinTaiwan
| | - Ching‐Hung Lin
- Department of Medical OncologyNational Taiwan University Cancer CenterTaipeiTaiwan
| | - I‐Chun Chen
- Department of Medical OncologyNational Taiwan University Cancer CenterTaipeiTaiwan
| | - Ying‐Chun Shen
- Department of Medical OncologyNational Taiwan University Cancer CenterTaipeiTaiwan
| | - Dwan‐Ying Chang
- Department of OncologyNational Taiwan University HospitalTaipeiTaiwan
| | - Tom Wei‐Wu Chen
- Department of OncologyNational Taiwan University HospitalTaipeiTaiwan
| | - Shu‐Min Huang
- Department of OncologyNational Taiwan University HospitalTaipeiTaiwan
| | - Fu‐Chang Hu
- Graduate Institute of Clinical Medicine and School of Nursing, College of Medicine, National Taiwan UniversityTaipeiTaiwan
- Statistical Consulting ClinicInternational‐Harvard (I‐H) Statistical Consulting CompanyTaipeiTaiwan
| | - Yen‐Shen Lu
- Department of OncologyNational Taiwan University HospitalTaipeiTaiwan
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21
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Terán S, Alva M, Tolosa P, Rey-Cárdenas M, Madariaga A, Lema L, Ruano Y, Manso L, Ciruelos E, Sánchez-Bayona R. Analysis of the association of HER-2 low carcinomas and PAM50 assay in hormone receptor positive early-stage breast cancer. Breast 2023; 71:42-46. [PMID: 37481795 PMCID: PMC10392598 DOI: 10.1016/j.breast.2023.07.009] [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: 03/26/2023] [Revised: 05/28/2023] [Accepted: 07/19/2023] [Indexed: 07/25/2023] Open
Abstract
BACKGROUND HER2-low has emerged as a new predictive biomarker in metastatic breast cancer. However, its prognostic value in early-stage carcinomas needs to be revisited. We aimed to evaluate the association of HER2-low carcinomas with PAM50 risk groups combined with clinicopathological variables in early breast cancer. METHODS We conducted a retrospective analysis of 332 patients with early-stage breast cancer that underwent PAM50 signature analysis between 2015 and 2021at Hospital Universitario 12 de Octubre (Madrid, Spain). Clinical and pathological variables were collected from medical records. After adjusting for potential confounders, we estimated Odds Ratio (OR) and 95% confidence interval for high-risk PAM50 subgroup, comparing HER2-low versus HER2-zero carcinomas by multivariable logistic regression. P values below 0.05 were deemed statistically significant. RESULTS 192 (57%) patients were classified as HER2-low carcinomas. Median follow-up was 34 months. Adjusted OR for high-risk PAM50 when comparing HER2-low versus HER2-zero carcinomas was 1.31 (95% CI: 0.75-2.30, p = 0.33). The multivariable model detected significant associations for Ki-67% (≥20% vs. <20%: OR = 4.03, 95% CI: 2.15-7.56, p < 0.001), T staging category (T2/T3 vs. T1: OR = 3.44, 95% CI: 1.96-6.04, p < 0.001), progesterone receptor (PR ≥ 20% vs. <20%: OR = 0.44, 95% CI: 0.23-0.83, p = 0.01), nodal staging category (N+ vs. N0: OR = 3.8, 95% CI: 1.89-7.62, p < 0.001) and histological grade (grade 2 vs. 1: OR = 2.41, 95% CI: 1.01-5.73, p = 0.04; grade 3 vs 1: OR = 5.40, 95%CI: 1.98-14.60, p = 0.001). CONCLUSIONS In this early-stage breast cancer cohort, HER2-low was not associated with a high-risk PAM50 compared to HER2-zero carcinomas. Ki-67 ≥ 20%, T2/T3, histological grade 2/3, N+ and PR<20% were significantly associated to a high-risk PAM50.
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Affiliation(s)
- Santiago Terán
- Medical Oncology department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Manuel Alva
- Medical Oncology department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Pablo Tolosa
- Medical Oncology department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | | | - Ainhoa Madariaga
- Medical Oncology department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Laura Lema
- Medical Oncology department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Yolanda Ruano
- Pathology department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Luis Manso
- Medical Oncology department, Hospital Universitario 12 de Octubre, Madrid, Spain
| | - Eva Ciruelos
- Medical Oncology department, Hospital Universitario 12 de Octubre, Madrid, Spain
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22
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Chavez-MacGregor M, Lei X, Malinowski C, Zhao H, Shih YC, Giordano SH. Medicaid expansion, chemotherapy delays, and racial disparities among women with early-stage breast cancer. J Natl Cancer Inst 2023; 115:644-651. [PMID: 36794921 PMCID: PMC10248833 DOI: 10.1093/jnci/djad033] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/18/2022] [Revised: 12/19/2022] [Accepted: 02/13/2023] [Indexed: 02/17/2023] Open
Abstract
BACKGROUND Medicaid expansion under the Affordable Care Act extends eligibility for participating states and has been associated with improved outcomes by facilitating access to care. Delayed initiation of adjuvant chemotherapy is associated with worse outcomes among patients with early-stage breast cancer (BC). The impact of Medicaid expansion in narrowing delays by race and ethnicity has not been studied, to our knowledge. METHODS This was a population-based study using the National Cancer Database. Patients diagnosed with primary early-stage BC between 2007 and 2017 residing in states that underwent Medicaid expansion in January 2014 were included. Time to chemotherapy initiation and proportion of patients experiencing chemotherapy delays (>60 days) were evaluated using difference-in-difference and Cox proportional hazards models in preexpansion and postexpansion periods according to race and ethnicity. RESULTS A total 100 643 patients were included (63 313 preexpansion and 37 330 postexpansion). After Medicaid expansion, the proportion of patients experiencing chemotherapy initiation delay decreased from 23.4% to 19.4%. The absolute decrease was 3.2, 5.3, 6.4, and 4.8 percentage points (ppt) for Black, Hispanic, White, and Other patients. Compared with White patients, statistically significant adjusted difference-in-differences were observed for Black (-2.1 ppt, 95% confidence interval [CI] = -3.7% to -0.5%) and Hispanic patients (-3.2 ppt, 95% CI = -5.6% to -0.9%). Statistically significant reductions in time to chemotherapy between expansion periods were observed among White patients (adjusted hazard ratio = .11, 95% CI = 1.09 to 1.12) and those belonging to racialized groups (adjusted hazard ratio = 1.14, 95% CI = 1.11 to 1.17). CONCLUSIONS Among patients with early-stage BC, Medicaid expansion was associated with a reduction in racial disparities by decreasing the gap in the proportion of Black and Hispanic patients experiencing delays in adjuvant chemotherapy initiation.
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Affiliation(s)
- Mariana Chavez-MacGregor
- Department of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Breast Cancer Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Xiudong Lei
- Department of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Catalina Malinowski
- Department of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Hui Zhao
- Department of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Ya-Chen Shih
- Department of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
| | - Sharon H Giordano
- Department of Health Services Research, Division of Cancer Prevention and Population Sciences, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
- Department of Breast Cancer Oncology, Division of Cancer Medicine, The University of Texas MD Anderson Cancer Center, Houston, TX, USA
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23
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Yap YS. Outcomes in breast cancer-does ethnicity matter? ESMO Open 2023; 8:101564. [PMID: 37290358 DOI: 10.1016/j.esmoop.2023.101564] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/12/2023] [Revised: 04/14/2023] [Accepted: 04/18/2023] [Indexed: 06/10/2023] Open
Abstract
Ethnic or racial differences in breast cancer (BC) survival outcomes have been reported, but current data are largely restricted to comparisons between African Americans and non-Hispanic whites. Most analyses have traditionally been based on self-reported race which may not always be accurate, or are oversimplified in their classification. With increasing globalization, quantification of the genetic ancestry from genomic data may offer a solution to infer the complex makeup from admixture of races. Focusing on the larger and the latest studies, we will discuss recent findings on the differing host and tumor biology that may be driving these disparities, in addition to the extrinsic environmental or lifestyle factors. Socioeconomic disparities with lower cancer literacy may lead to late presentation, poorer adherence to treatment, and other lifestyle factors such as unhealthy diet, obesity, and inadequate physical activity. These hardships may also result in greater allostatic load, which is in turn associated with aggressive BC features in disadvantaged populations. Epigenetic reprogramming may mediate the effects of the environment or lifestyle factors on gene expression, with ensuing differences in BC characteristics and outcome. There is increasing evidence that germline genetics can influence somatic gene alterations or expression, as well as modulate the tumor or immune microenvironment. Although the precise mechanisms remain elusive, this may account for the varying distribution of different BC subtypes across ethnicities. These gaps in our knowledge highlight the need to interrogate the multiomics landscape of BC in diverse populations, ideally in large-scale collaborative settings with standardized methodology for the comparisons to be statistically robust. Together with improving BC awareness and access to good quality health care, a holistic approach with insights of the biological underpinnings is much needed to eradicate ethnic disparities in BC outcomes.
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Affiliation(s)
- Y-S Yap
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore; Oncology Academic Clinical Programme, Duke-National University of Singapore (NUS) Medical School, Singapore, Singapore.
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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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25
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Ragu ME, Lim JMC, Ng PS, Yip CH, Rajadurai P, Teo SH, Pan JW. TP53 somatic mutations in Asian breast cancer are associated with subtype-specific effects. Breast Cancer Res 2023; 25:48. [PMID: 37101199 PMCID: PMC10134541 DOI: 10.1186/s13058-023-01635-2] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/20/2022] [Accepted: 03/07/2023] [Indexed: 04/28/2023] Open
Abstract
BACKGROUND Recent genomics studies of breast cancer in Asian cohorts have found a higher prevalence of TP53 mutations in Asian breast cancer patients relative to Caucasian patients. However, the effect of TP53 mutations on Asian breast tumours has not been comprehensively studied. METHODS Here, we report an analysis of 492 breast cancer samples from the Malaysian Breast Cancer cohort where we examined the impact of TP53 somatic mutations in relation to PAM50 subtypes by comparing whole exome and transcriptome data from tumours with mutant and wild-type TP53. RESULTS We found that the magnitude of impact of TP53 somatic mutations appears to vary between different subtypes. TP53 somatic mutations were associated with higher HR deficiency scores as well as greater upregulation of gene expression pathways in luminal A and luminal B tumours compared to the basal-like and Her2-enriched subtypes. The only pathways that were consistently dysregulated when comparing tumours with mutant and wild-type TP53 across different subtypes were the mTORC1 signalling and glycolysis pathways. CONCLUSION These results suggest that therapies that target TP53 or other downstream pathways may be more effective against luminal A and B tumours in the Asian population.
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Affiliation(s)
- Mohana Eswari Ragu
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia.
| | | | - Pei-Sze Ng
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
| | - Cheng-Har Yip
- Subang Jaya Medical Centre, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
| | - Pathmanathan Rajadurai
- Subang Jaya Medical Centre, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
- Jeffrey Cheah School of Medicine and Health Sciences, Monash University Malaysia, Subang Jaya, Selangor, Malaysia
| | - Soo-Hwang Teo
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Jia-Wern Pan
- Cancer Research Malaysia, No. 1, Jalan SS12/1A, 47500, Subang Jaya, Malaysia.
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26
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Zhang J, Guo F, Li C, Wang Y, Wang J, Sun F, Zhou Y, Ma F, Zhang B, Qian H. Loss of TTC17 promotes breast cancer metastasis through RAP1/CDC42 signaling and sensitizes it to rapamycin and paclitaxel. Cell Biosci 2023; 13:50. [PMID: 36895029 PMCID: PMC9996991 DOI: 10.1186/s13578-023-01004-8] [Citation(s) in RCA: 2] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/04/2022] [Accepted: 03/03/2023] [Indexed: 03/11/2023] Open
Abstract
BACKGROUND Breast cancer (BC) metastasis is the leading cause of poor prognosis and therapeutic failure. However, the mechanisms underlying cancer metastasis are far from clear. METHODS We screened candidate genes related to metastasis through genome-wide CRISPR screening and high-throughput sequencing of patients with metastatic BC, followed by a panel of metastatic model assays. The effects of tetratricopeptide repeat domain 17 (TTC17) on migration, invasion, and colony formation ability together with the responses to anticancer drugs were investigated in vitro and in vivo. The mechanism mediated by TTC17 was determined by RNA sequencing, Western blotting, immunohistochemistry, and immunofluorescence. The clinical significance of TTC17 was evaluated using BC tissue samples combined with clinicopathological data. RESULTS We identified the loss of TTC17 as a metastasis driver in BC, and its expression was negatively correlated with malignancy and positively correlated with patient prognosis. TTC17 loss in BC cells promoted their migration, invasion, and colony formation capacity in vitro and lung metastasis in vivo. Conversely, overexpressing TTC17 suppressed these aggressive phenotypes. Mechanistically, TTC17 knockdown in BC cells resulted in the activation of the RAP1/CDC42 pathway along with a disordered cytoskeleton in BC cells, and pharmacological blockade of CDC42 abolished the potentiation of motility and invasiveness caused by TTC17 silencing. Research on BC specimens demonstrated reduced TTC17 and increased CDC42 in metastatic tumors and lymph nodes, and low TTC17 expression was linked to more aggressive clinicopathologic characteristics. Through screening the anticancer drug library, the CDC42 inhibitor rapamycin and the microtubule-stabilizing drug paclitaxel showed stronger inhibition of TTC17-silenced BC cells, which was confirmed by more favorable efficacy in BC patients and tumor-bearing mice receiving rapamycin or paclitaxel in the TTC17Low arm. CONCLUSIONS TTC17 loss is a novel factor promoting BC metastasis, that enhances migration and invasion by activating RAP1/CDC42 signaling and sensitizes BC to rapamycin and paclitaxel, which may improve stratified treatment strategies under the concept of molecular phenotyping-based precision therapy of BC.
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Affiliation(s)
- Jingyao Zhang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Fengzhu Guo
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.,Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Chunxiao Li
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.,Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yang Wang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Jinsong Wang
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Fangzhou Sun
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Yantong Zhou
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China
| | - Fei Ma
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China. .,Department of Medical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Bailin Zhang
- Department of Breast Surgical Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
| | - Haili Qian
- State Key Laboratory of Molecular Oncology, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, 100021, China.
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27
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Wang H, Guo M, Wei H, Chen Y. Targeting p53 pathways: mechanisms, structures, and advances in therapy. Signal Transduct Target Ther 2023; 8:92. [PMID: 36859359 PMCID: PMC9977964 DOI: 10.1038/s41392-023-01347-1] [Citation(s) in RCA: 96] [Impact Index Per Article: 96.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 12/19/2022] [Accepted: 02/07/2023] [Indexed: 03/03/2023] Open
Abstract
The TP53 tumor suppressor is the most frequently altered gene in human cancers, and has been a major focus of oncology research. The p53 protein is a transcription factor that can activate the expression of multiple target genes and plays critical roles in regulating cell cycle, apoptosis, and genomic stability, and is widely regarded as the "guardian of the genome". Accumulating evidence has shown that p53 also regulates cell metabolism, ferroptosis, tumor microenvironment, autophagy and so on, all of which contribute to tumor suppression. Mutations in TP53 not only impair its tumor suppressor function, but also confer oncogenic properties to p53 mutants. Since p53 is mutated and inactivated in most malignant tumors, it has been a very attractive target for developing new anti-cancer drugs. However, until recently, p53 was considered an "undruggable" target and little progress has been made with p53-targeted therapies. Here, we provide a systematic review of the diverse molecular mechanisms of the p53 signaling pathway and how TP53 mutations impact tumor progression. We also discuss key structural features of the p53 protein and its inactivation by oncogenic mutations. In addition, we review the efforts that have been made in p53-targeted therapies, and discuss the challenges that have been encountered in clinical development.
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Affiliation(s)
- Haolan Wang
- Department of Oncology, NHC Key Laboratory of Cancer Proteomics, Laboratory of Structural Biology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Ming Guo
- Department of Oncology, NHC Key Laboratory of Cancer Proteomics, Laboratory of Structural Biology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China
| | - Hudie Wei
- Department of Oncology, NHC Key Laboratory of Cancer Proteomics, Laboratory of Structural Biology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
| | - Yongheng Chen
- Department of Oncology, NHC Key Laboratory of Cancer Proteomics, Laboratory of Structural Biology, National Clinical Research Center for Geriatric Disorders, Xiangya Hospital, Central South University, Changsha, Hunan, 410008, China.
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28
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Paluch-Shimon S, Neven P, Huober J, Cicin I, Goetz MP, Shimizu C, Huang CS, Lueck HJ, Beith J, Tokunaga E, Contreras JR, de Sant’Ana RO, Wei R, Shahir A, Nabinger SC, Forrester T, Johnston SRD, Harbeck N. Efficacy and safety results by menopausal status in monarchE: adjuvant abemaciclib combined with endocrine therapy in patients with HR+, HER2-, node-positive, high-risk early breast cancer. Ther Adv Med Oncol 2023; 15:17588359231151840. [PMID: 36756142 PMCID: PMC9900651 DOI: 10.1177/17588359231151840] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2022] [Accepted: 01/04/2023] [Indexed: 02/05/2023] Open
Abstract
Background Abemaciclib is the first and only cyclin-dependent kinases 4 and 6 inhibitor approved for adjuvant treatment of hormone receptor-positive (HR+), human epidermal growth factor receptor 2-negative (HER2-), node-positive, and high-risk early breast cancer (EBC), with indications varying by geography. Premenopausal patients with HR+, HER2- tumors may have different tumor biology and treatment response compared to postmenopausal patients. Objectives We describe the efficacy and safety of abemaciclib plus endocrine therapy (ET) for the large subgroup of premenopausal patients with HR+, HER2- EBC in monarchE. Design Randomized patients (1:1) received adjuvant ET with or without abemaciclib for 2 years plus at least 3 additional years of ET as clinically indicated. Methods Patients were stratified by menopausal status (premenopausal versus postmenopausal) at diagnosis. Standard ET (tamoxifen or aromatase inhibitor) with or without gonadotropin-releasing hormone agonist was determined by physician's choice. Invasive disease-free survival (IDFS) and distant relapse-free survival (DRFS) by menopausal status were assessed at data cutoff on 1 April 2021 (median follow-up of 27 months). Results Among randomized patients, 2451 (43.5%) were premenopausal and 3181 (56.4%) were postmenopausal. The choice of ET for premenopausal patients varied considerably between countries. Treatment benefit was consistent across menopausal status, with a numerically greater effect size in premenopausal patients. For premenopausal patients, abemaciclib with ET resulted in a 42.2% and 40.3% reduction in the risk of developing IDFS and DRFS events, respectively. Absolute improvement at 3 years was 5.7% for IDFS and 4.4% for DRFS rates. Safety profile for premenopausal patients was consistent with the overall safety population. Conclusion Abemaciclib with ET demonstrated clinically meaningful treatment benefit for IDFS and DRFS versus ET alone regardless of menopausal status and first ET, with a numerically greater benefit in the premenopausal compared to the postmenopausal population. Safety data in premenopausal patients are consistent with the overall safety profile of abemaciclib.
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Affiliation(s)
| | - Patrick Neven
- Universitaire Ziekenhuizen Leuven - Campus
Gasthuisberg, Leuven, Belgium
| | - Jens Huober
- Breast Center, University of Ulm, Ulm,
Germany
| | - Irfan Cicin
- Trakya University Faculty of Medicine, Edirne,
Turkey
| | | | - Chikako Shimizu
- National Center for Global Health and Medicine,
Tokyo, Japan
| | - Chiun-Sheng Huang
- National Taiwan University Hospital,
Taipei,National Taiwan University College of Medicine,
Taipei
| | | | - Jane Beith
- Chris O’Brien Lifehouse, Camperdown, NSW,
Australia
| | - Eriko Tokunaga
- Department of Breast Oncology, National
Hospital Organization Kyushu Cancer Center, Fukuoka, Japan
| | | | - Rosane Oliveira de Sant’Ana
- Division of Clinical Oncology, Instituto do
Câncer do Ceará, Fortaleza, Brazil,Universidade de Fortaleza, Fortaleza,
Brazil
| | - Ran Wei
- Eli Lilly and Company, Indianapolis, IN,
USA
| | | | | | | | | | - Nadia Harbeck
- Breast Center, Department of Gynecology and
Obstetrics and Comprehensive Cancer Center Munich, LMU University Hospital,
Munich, Germany
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29
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Asleh K, Lluch A, Goytain A, Barrios C, Wang XQ, Torrecillas L, Gao D, Ruiz-Borrego M, Leung S, Bines J, Guerrero-Zotano Á, García-Sáenz JÁ, Cejalvo JM, Herranz J, Torres R, de la Haba-Rodriguez J, Ayala F, Gómez H, Rojo F, Nielsen TO, Martin M. Triple-Negative PAM50 Non-Basal Breast Cancer Subtype Predicts Benefit from Extended Adjuvant Capecitabine. Clin Cancer Res 2023; 29:389-400. [PMID: 36346687 PMCID: PMC9873250 DOI: 10.1158/1078-0432.ccr-22-2191] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/01/2022] [Revised: 10/12/2022] [Accepted: 11/01/2022] [Indexed: 11/09/2022]
Abstract
PURPOSE Predictive biomarkers for capecitabine benefit in triple-negative breast cancer (TNBC) have been recently proposed using samples from phase III clinical trials, including non-basal phenotype and biomarkers related to angiogenesis, stroma, and capecitabine activation genes. We aimed to validate these findings on the larger phase III GEICAM/CIBOMA clinical trial. EXPERIMENTAL DESIGN Tumor tissues from patients with TNBC randomized to standard (neo)adjuvant chemotherapy followed by capecitabine versus observation were analyzed using a 164-gene NanoString custom nCounter codeset measuring mRNA expression. A prespecified statistical plan sought to verify the predictive capacity of PAM50 non-basal molecular subtype and tested the hypotheses that breast tumors with increased expression of (meta)genes for cytotoxic cells, mast cells, endothelial cells, PDL2, and 38 individual genes benefit from adjuvant capecitabine for distant recurrence-free survival (DRFS; primary endpoint) and overall survival. RESULTS Of the 876 women enrolled in the GEICAM/CIBOMA trial, 658 (75%) were evaluable for analysis (337 with capecitabine and 321 without). Of these cases, 553 (84%) were profiled as PAM50 basal-like whereas 105 (16%) were PAM50 non-basal. Non-basal subtype was the most significant predictor for capecitabine benefit [HRcapecitabine, 0.19; 95% confidence interval (CI), 0.07-0.54; P < 0.001] when compared with PAM50 basal-like (HRcapecitabine, 0.9; 95% CI, 0.63-1.28; P = 0.55; Pinteraction<0.001, adjusted P value = 0.01). Analysis of biological processes related to PAM50 non-basal subtype revealed its enrichment for mast cells, extracellular matrix, angiogenesis, and features of mesenchymal stem-like TNBC subtype. CONCLUSIONS In this prespecified correlative analysis of the GEICAM/CIBOMA trial, PAM50 non-basal status identified patients with early-stage TNBC most likely to benefit from capecitabine.
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Affiliation(s)
- Karama Asleh
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada.,Interdisciplinary Oncology Program, Faculty of Medicine, University of British Columbia, Vancouver, Canada
| | - Ana Lluch
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Hospital Clínico Universitario de Valencia, Valencia, Spain.,Instituto de Investigación Sanitaria INCLIVA, Universidad de Valencia, Valencia, Spain
| | - Angela Goytain
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
| | - Carlos Barrios
- Centro de Pesquisa Clínica Hospital São Lucas da PUCRS, Porto Alegre, Brazil.,LACOG, Latin American Cooperative Oncology Group, Porto Alegre, Brazil
| | - Xue Q. Wang
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
| | - Laura Torrecillas
- LACOG, Latin American Cooperative Oncology Group, Porto Alegre, Brazil.,Centro Médico Nacional 20 de Noviembre ISSSTE, CDMX, Mexico
| | - Dongxia Gao
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
| | - Manuel Ruiz-Borrego
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Hospital Universitario Virgen del Rocío, Sevilla, Spain
| | - Samuel Leung
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
| | - José Bines
- LACOG, Latin American Cooperative Oncology Group, Porto Alegre, Brazil.,National Cancer Institute (INCA), Brazil
| | - Ángel Guerrero-Zotano
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Instituto Valenciano de Oncología (IVO), Valencia, Spain
| | - Jose Ángel García-Sáenz
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Department of Oncology and Instituto de Investigación Sanitaria Hospital Clinico San Carlos (IdISSC), Madrid, Spain
| | - Juan Miguel Cejalvo
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Hospital Clínico Universitario de Valencia, Valencia, Spain.,Instituto de Investigación Sanitaria INCLIVA, Universidad de Valencia, Valencia, Spain
| | | | - Roberto Torres
- LACOG, Latin American Cooperative Oncology Group, Porto Alegre, Brazil.,Instituto Nacional del Cáncer, Santiago, Chile
| | - Juan de la Haba-Rodriguez
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Instituto Maimónides de Investigación Biomédica de Córdoba (IMIBIC)–Hospital Universitario Reina Sofía, Universidad de Córdoba, Córdoba, Spain.,Oncology Biomedical Research National Network (CIBERONC-ISCIII), Madrid, Spain
| | - Francisco Ayala
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Hospital General Universitario Morales Meseguer, Murcia, Spain
| | - Henry Gómez
- LACOG, Latin American Cooperative Oncology Group, Porto Alegre, Brazil.,Instituto Nacional de Enfermedades Neoplásicas (INEN), Lima, Peru.,Universidad Ricardo Palma, Lima, Peru
| | - Federico Rojo
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Hospital Universitario Fundación Jiménez Díaz, Madrid, Spain.,Oncology Biomedical Research National Network (CIBERONC-ISCIII), Madrid, Spain
| | - Torsten O. Nielsen
- Department of Pathology and Laboratory Medicine, Genetic Pathology Evaluation Centre, University of British Columbia, Vancouver, Canada
| | - Miguel Martin
- GEICAM, Spanish Breast Cancer Group, Madrid, Spain.,Oncology Biomedical Research National Network (CIBERONC-ISCIII), Madrid, Spain.,Instituto de Investigación Sanitaria Gregorio Marañón, Medicine Department, Universidad Complutense, Madrid, Spain.,Corresponding Author: Miguel Martin, Hospital General Universitario Gregorio Marañón, C. Dr. Esquerdo, 46, 28007 Madrid, Spain. Phone: 349-1659-2870; E-mail:
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Addressing the Clinical Feasibility of Adopting Circulating miRNA for Breast Cancer Detection, Monitoring and Management with Artificial Intelligence and Machine Learning Platforms. Int J Mol Sci 2022; 23:ijms232315382. [PMID: 36499713 PMCID: PMC9736108 DOI: 10.3390/ijms232315382] [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: 10/28/2022] [Revised: 11/24/2022] [Accepted: 11/28/2022] [Indexed: 12/12/2022] Open
Abstract
Detecting breast cancer (BC) at the initial stages of progression has always been regarded as a lifesaving intervention. With modern technology, extensive studies have unraveled the complexity of BC, but the current standard practice of early breast cancer screening and clinical management of cancer progression is still heavily dependent on tissue biopsies, which are invasive and limited in capturing definitive cancer signatures for more comprehensive applications to improve outcomes in BC care and treatments. In recent years, reviews and studies have shown that liquid biopsies in the form of blood, containing free circulating and exosomal microRNAs (miRNAs), have become increasingly evident as a potential minimally invasive alternative to tissue biopsy or as a complement to biomarkers in assessing and classifying BC. As such, in this review, the potential of miRNAs as the key BC signatures in liquid biopsy are addressed, including the role of artificial intelligence (AI) and machine learning platforms (ML), in capitalizing on the big data of miRNA for a more comprehensive assessment of the cancer, leading to practical clinical utility in BC management.
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31
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Lin X, Zhuang S, Yang S, Lai D, Chen M, Zhang J. Development and internal validation of a conventional ultrasound-based nomogram for predicting malignant nonmasslike breast lesions. Quant Imaging Med Surg 2022; 12:5452-5461. [PMID: 36465828 PMCID: PMC9703106 DOI: 10.21037/qims-22-378] [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] [Received: 04/14/2022] [Accepted: 08/25/2022] [Indexed: 11/09/2023]
Abstract
BACKGROUND The aim of this study was to develop a conventional ultrasound (US) features-based nomogram for the prediction of malignant nonmasslike (NML) breast lesions. METHODS Consecutive cases of adult females diagnosed with NML breast lesions via US screening in our center from June 1st, 2017, to April 17th, 2020, were retrospectively enrolled. Candidate variables included age, clinical symptoms, and the image features obtained from the conventional US. Nomograms were developed based on the results of the multiple logistic regression analysis via R language. One thousand bootstraps were used for internal validation. The area under the curve (AUC) and the bias-corrected concordance index (C-index) were calculated. Decision curve analysis (DCA) was also performed for further comparison between the nomogram and the Breast Imaging Reporting and Data System (BI-RADS). The study has not yet been registered. RESULTS A total of 229 patients were included in the study after exclusion and follow-up. The overall malignant rate of NML breast lesions was 31.0%. Age, clinical symptoms, echo pattern, calcification, orientation, and Adler's classification were selected to generate the nomogram according to the results of the multivariable logistic regression analysis. The bias-corrected C-index and the AUC of our nomogram were 0.790 and 0.828, respectively. The DCA showed that our model had larger net benefits in a range from 0.2 to 0.7 when compared with the BI-RADS. CONCLUSIONS We developed a prediction model using a combination of age, clinical symptoms, echo pattern, calcification, orientation, and Adler's classification for malignant NML breast lesion prediction that yielded adequate discrimination and calibration.
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Affiliation(s)
- Xian Lin
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shulian Zhuang
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Shuang Yang
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Danhui Lai
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Miao Chen
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
| | - Jianxing Zhang
- Department of Ultrasound, The Second Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, China
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Zhu J, Kong W, Huang L, Wang S, Bi S, Wang Y, Shan P, Zhu S. MLSP: A Bioinformatics Tool for Predicting Molecular Subtypes and Prognosis in Patients with Breast Cancer. Comput Struct Biotechnol J 2022; 20:6412-6426. [DOI: 10.1016/j.csbj.2022.11.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/30/2022] [Revised: 10/18/2022] [Accepted: 11/07/2022] [Indexed: 11/13/2022] Open
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Manjunath M, Nirgude S, Mhatre A, Vemuri SG, Nataraj M, Thumsi J, Choudhary B. Transcriptomic profiling of Indian breast cancer patients revealed subtype-specific mRNA and lncRNA signatures. Front Genet 2022; 13:932060. [PMID: 36386805 PMCID: PMC9641000 DOI: 10.3389/fgene.2022.932060] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/29/2022] [Accepted: 09/27/2022] [Indexed: 11/30/2022] Open
Abstract
Breast cancer (BC) is one of the leading causes of cancer-associated death in women. Despite the progress in therapeutic regimen, resistance and recurrence of breast cancer have affected the overall survival of patients. The present signatures, such as PAM50 and Oncotype DX, do not segregate the Indian breast samples based on molecular subtypes. This study aims at finding signatures of long noncoding RNA (lncRNA) and mRNA in Indian breast cancer patients using RNA-seq. We have analyzed the survival based on the menopausal and hormone status of 380 Indian breast cancer patients, and of these, we have sequenced and analyzed matched tumor–normal transcriptome of 17 (pre- and postmenopausal) Indian breast cancer patients representing six different subtypes, namely, four patients in triple-positive, three patients in estrogen receptor–positive (ER+ve), three patients in estrogen and progesterone receptors–positive (ER+ve, PR+ve), two patients in human epidermal growth factor receptor (Her2+ve), three patients in triple-negative, and one patient in ER+ve and Her2+ve subtypes. We have identified a 25 mRNA–27 lncRNA gene set, which segregated the subtypes in our data. A pathway analysis of the differentially expressed genes revealed downregulated ECM interaction and upregulated immune regulation, cell cycle, DNA damage response and repair, and telomere elongation in premenopausal women. Postmenopausal women showed downregulated metabolism, innate immune system, upregulated translation, sumoylation, and AKT2 activation. A Kaplan–Meier survival analysis revealed that menopausal status, grade of the tumor, and hormonal status displayed statistically significant effects (p < 0.05) on the risk of mortality due to breast cancer. Her2+ve patients showed low overall survival. One of the unique lncRNA-mRNA pairs specific to the EP-subtype, SNHG12 and EPB41, showed interaction, which correlates with their expression level; SNHG12 is downregulated and EPB41 is upregulated in EP samples.
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Affiliation(s)
- Meghana Manjunath
- Institute of Bioinformatics and Applied Biotechnology, Bengaluru, India
- Manipal Academy of Higher Education, Manipal, India
| | - Snehal Nirgude
- Institute of Bioinformatics and Applied Biotechnology, Bengaluru, India
- Division of Human Genetics,Children’s Hospital of Philadelphia, Philadelphia, PA, United States
| | - Anisha Mhatre
- Institute of Bioinformatics and Applied Biotechnology, Bengaluru, India
| | - Sai G. Vemuri
- Institute of Bioinformatics and Applied Biotechnology, Bengaluru, India
| | | | | | - Bibha Choudhary
- Institute of Bioinformatics and Applied Biotechnology, Bengaluru, India
- *Correspondence: Bibha Choudhary,
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Badve SS, Cho S, Lu X, Cao S, Ghose S, Thike AA, Tan PH, Ocal IT, Generali D, Zanconati F, Harris AL, Ginty F, Gökmen-Polar Y. Tumor Infiltrating Lymphocytes in Multi-National Cohorts of Ductal Carcinoma In Situ (DCIS) of Breast. Cancers (Basel) 2022; 14:3916. [PMID: 36010908 PMCID: PMC9406008 DOI: 10.3390/cancers14163916] [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: 05/06/2022] [Revised: 08/08/2022] [Accepted: 08/09/2022] [Indexed: 01/25/2023] Open
Abstract
Tumor-infiltrating lymphocytes (TILs) are prognostic in invasive breast cancer. However, their prognostic significance in ductal carcinoma in situ (DCIS) has been controversial. To investigate the prognostic role of TILs in DCIS outcome, we used different scoring methods for TILs in multi-national cohorts from Asian and European women. Self-described race was genetically confirmed using QC Infinium array combined with radmixture software. Stromal TILs, touching TILs, circumferential TILs, and hotspots were quantified on H&E-stained slides and correlated with the development of second breast cancer events (BCE) and other clinico-pathological variables. In univariate survival analysis, age older than 50 years, hormone receptor positivity and the presence of circumferential TILs were weakly associated with the absence of BCE at the 5-year follow-up in all cohorts (p < 0.03; p < 0.02; and p < 0.02, respectively, adjusted p = 0.11). In the multivariable analysis, circumferential TILs were an independent predictor of a better outcome (Wald test p = 0.01), whereas younger age was associated with BCE. Asian patients were younger with larger, higher grade, HR negative DCIS lesions, and higher TIL variables. The spatial arrangement of TILs may serve as a better prognostic indicator in DCIS cases than stromal TILs alone and may be added in guidelines for TILs evaluation in DCIS.
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Affiliation(s)
- Sunil S. Badve
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
- Winship Cancer Institute, Atlanta, GA 30322, USA
| | - Sanghee Cho
- GE Global Research Center, Niskayuna, NY 12309, USA
| | - Xiaoyu Lu
- Center for Computational Biology and Bioinformatics, Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
| | - Sha Cao
- Center for Computational Biology and Bioinformatics, Department of Biostatistics and Health Data Science, School of Medicine, Indiana University, Indianapolis, IN 46202, USA
| | - Soumya Ghose
- GE Global Research Center, Niskayuna, NY 12309, USA
| | - Aye Aye Thike
- Anatomical Pathology, Singapore General Hospital, Singapore 169856, Singapore
| | - Puay Hoon Tan
- Division of Pathology, Singapore General Hospital, Singapore 169856, Singapore
| | - Idris Tolgay Ocal
- Department of Laboratory Medicine and Pathology, Mayo Clinic Arizona, Phoenix, AZ 85054, USA
| | - Daniele Generali
- Department of Medical, Surgery and Health Sciences, University of Trieste, 34127 Trieste, Italy
| | - Fabrizio Zanconati
- Department of Medical, Surgery and Health Sciences, University of Trieste, 34127 Trieste, Italy
| | - Adrian L. Harris
- Cancer and Haematology Centre, Department of Oncology, Oxford University, Oxford OX3 7LE, UK
| | - Fiona Ginty
- GE Global Research Center, Niskayuna, NY 12309, USA
| | - Yesim Gökmen-Polar
- Department of Pathology and Laboratory Medicine, Emory University School of Medicine, Atlanta, GA 30322, USA
- Winship Cancer Institute, Atlanta, GA 30322, USA
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Fane L, Biswas T, Jindal C, Choi YM, Efird JT. Breast Cancer Disparities in Asian Women: The Need for Disaggregated Research. INTERNATIONAL JOURNAL OF ENVIRONMENTAL RESEARCH AND PUBLIC HEALTH 2022; 19:9790. [PMID: 36011424 PMCID: PMC9408195 DOI: 10.3390/ijerph19169790] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2022] [Revised: 08/06/2022] [Accepted: 08/07/2022] [Indexed: 06/15/2023]
Abstract
Asian (AZN) women are a heterogeneous group, comprising a wide array of cultural beliefs, languages, and healthcare needs. Yet, studies of breast cancer (BCa) risks and outcomes predominately consider AZNs in aggregate, assuming that the distinct ethnicities have similar disease profiles and homogeneous responses to treatment. This stereotypical portrayal of AZNs as a homogenous group tends to mask disparities. For example, healthcare-seeking behaviors and attitudes of medical providers toward AZN BCa patients frequently differ within this group and from other races. Misconceptions may arise that significantly influence the prevention, detection, treatment, and post-therapeutic care of AZN women. In addition to low BCa screening rates among AZN women, disparities also exist in various stages of BCa treatment-omission of radiation after breast-conserving surgery, less access to hypofractionation, underutilization of hormonal therapy, and higher-cost treatment owing to high HER2+ incidence. In this perspective, we highlight the need for disaggregated research of BCa among AZN women and advocate for comprehensive, culturally sensitive strategies to address health disparities in this priority population. Improving BCa literacy and awareness, access to care, and equitable recruitment into clinical trials are a few amelioratory goals to consider in the future.
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Affiliation(s)
- Lauren Fane
- MD University Program, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
| | - Tithi Biswas
- Department of Radiation Oncology, University Hospitals Cleveland Medical Center, Case Western Reserve University, Cleveland, OH 44106, USA
| | - Charulata Jindal
- Harvard Medical School, Harvard University, Boston, MA 02115, USA
| | | | - Jimmy T. Efird
- VA Cooperative Studies Program Coordinating Center, Boston, MA 02130, USA
- Department of Radiation Oncology, Case Western Reserve University School of Medicine, Cleveland, OH 44106, USA
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Zhao L, Yin XX, Qin J, Wang W, He XF. Association Between the TP53 Polymorphisms and Breast Cancer Risk: An Updated Meta-Analysis. Front Genet 2022; 13:807466. [PMID: 35571038 PMCID: PMC9091657 DOI: 10.3389/fgene.2022.807466] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/02/2021] [Accepted: 03/25/2022] [Indexed: 11/16/2022] Open
Abstract
Background: The relationship of TP53 codons 72, IVS3 16 bp, and IVS6+62A > G polymorphisms with breast cancer (BC) risk has been analyzed in seventeen published meta-analyses. However, the credibility of statistically significant associations was ignored and many new studies have been reported on these themes. Objectives: To explore whether TP53 codons 72, IVS3 16 bp, and IVS6+62A > G polymorphisms are associated with BC risk and the clinical phenomena. Methods: To comprehensively search the data (through October 25, 2021), we provided a clear search strategy and reviewed the references of published meta-analyses. The Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) were used. Results: The current meta-analysis had a larger sample size than the previous ones: 99 studies with 43,951 BC and 48,479 controls for TP53 codon 72 polymorphism, 35 studies with 8,705 BC and 7,516 controls for IVS3 16 bp polymorphism, and 25 studies with 12,222 BC and 12,895 controls for IVS6+62A > G polymorphism. Five gene models were used to explore the association between the three polymorphisms and BC risk, and partial positive results were similar to published meta-analyses results. However, a large number of significant results were considered to be unreliable after correcting with Bayesian false-discovery probability (BFDP), except for the association between TP53 IVS3 16 bp polymorphism and BC risk in overall analysis (GG vs. CC: BFDP = 0.738), matched studies (GG vs. CC: BFDP = 0.173; GG vs. CC + CG: BFDP = 0.447), and tumor size below 2 cm (GG vs. CC: BFDP = 0.088; GG + CG vs. CC: BFDP = 0.730; GG vs. CC + CG: BFDP = 0.311). These unreliable results were confirmed again without new solid results emerging in further sensitivity analysis (only studies in compliance with the quality assessment standard). Conclusion: After considering the quality of the included studies and the reliability of the results, the present meta-analysis suggested that TP53 codons 72, IVS3 16 bp, and IVS6+62A > G polymorphisms were not significantly associated with the BC risk. Those results which prove that these three polymorphisms increase BC risk are more likely to be false-positive results due to various confounding factors.
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Affiliation(s)
- Lin Zhao
- Teaching Reform Class of 2018 of the First Clinical College, Changzhi Medical College, Changzhi, China
| | - Xiang-Xiongyi Yin
- Fifth Class of 2018 of the Second Clinical College, Changzhi Medical College, Changzhi, China
| | - Jun Qin
- General Surgery, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
| | - Wei Wang
- Beijing Zhendong Guangming Pharmaceutical Research Institute, Beijing, China
- *Correspondence: Wei Wang, ; Xiao-Feng He,
| | - Xiao-Feng He
- Institute of Evidence-Based Medicine, Heping Hospital Affiliated to Changzhi Medical College, Changzhi, China
- Department of Epidemiology, School of Public Health, Southern Medical University, Guangzhou, China
- *Correspondence: Wei Wang, ; Xiao-Feng He,
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Hirko KA, Rocque G, Reasor E, Taye A, Daly A, Cutress RI, Copson ER, Lee DW, Lee KH, Im SA, Park YH. The impact of race and ethnicity in breast cancer-disparities and implications for precision oncology. BMC Med 2022; 20:72. [PMID: 35151316 PMCID: PMC8841090 DOI: 10.1186/s12916-022-02260-0] [Citation(s) in RCA: 38] [Impact Index Per Article: 19.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 01/14/2022] [Accepted: 01/14/2022] [Indexed: 12/14/2022] Open
Abstract
Breast cancer is the most commonly diagnosed cancer worldwide and is one of the leading causes of cancer death. The incidence, pathological features, and clinical outcomes in breast cancer differ by geographical distribution and across racial and ethnic populations. Importantly, racial and ethnic diversity in breast cancer clinical trials is lacking, with both Blacks and Hispanics underrepresented. In this forum article, breast cancer researchers from across the globe discuss the factors contributing to racial and ethnic breast cancer disparities and highlight specific implications of precision oncology approaches for equitable provision of breast cancer care to improve outcomes and address disparities.
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Affiliation(s)
- Kelly A Hirko
- Department of Epidemiology and Biostatistics, College of Human Medicine, Michigan State University, East Lansing, MI, 48824, USA.
| | - Gabrielle Rocque
- Department of Internal Medicine, Division of Hematology Oncology, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Erica Reasor
- Department of Internal Medicine, Division of Hematology Oncology, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Ammanuel Taye
- Department of Internal Medicine, Division of Hematology Oncology, O'Neal Comprehensive Cancer Center, University of Alabama at Birmingham, Birmingham, AL, USA
| | - Alex Daly
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton, Southampton, SO16 6YD, UK
| | - Ramsey I Cutress
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton, Southampton, SO16 6YD, UK
| | - Ellen R Copson
- Cancer Sciences Academic Unit, Faculty of Medicine, University of Southampton and University Hospital Southampton, Southampton, SO16 6YD, UK
| | - Dae-Won Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Kyung-Hun Lee
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Seock-Ah Im
- Department of Internal Medicine, Seoul National University Hospital, Seoul National University College of Medicine, Seoul, Republic of Korea.,Cancer Research Institute, Seoul National University College of Medicine, Seoul, Republic of Korea
| | - Yeon Hee Park
- Division of Hematology-Oncology, Department of Medicine, Samsung Medical Center, Sungkyunkwan University School of Medicine, 81 Irwon-ro Gangnam-gu, Seoul, 06351, Korea
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Ma SJ, Serra LM, Yu B, Farrugia MK, Iovoli AJ, Yu H, Yao S, Oladeru OT, Singh AK. Racial/Ethnic Differences and Trends in Pathologic Complete Response Following Neoadjuvant Chemotherapy for Breast Cancer. Cancers (Basel) 2022; 14:cancers14030534. [PMID: 35158802 PMCID: PMC8833599 DOI: 10.3390/cancers14030534] [Citation(s) in RCA: 8] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/30/2021] [Revised: 01/14/2022] [Accepted: 01/19/2022] [Indexed: 12/16/2022] Open
Abstract
Simple Summary Despite improving rates of pathologic complete response (pCR; the absence of invasive cancer at the time of surgery) among patients with breast cancer who underwent chemotherapy prior to surgery, racial and ethnic minority groups were under-represented in clinical trials. Our study used a large cancer registry database in the United States to evaluate the temporal trend of pCR and patterns of pCR and survival outcomes among diverse racial and ethnic groups. It suggested that although pCR rates improved over time for all groups, pCR rates and survival outcomes varied significantly. For instance, compared to non-Hispanic White women, Black women were less likely to have pCR for triple negative and hormone receptor (HR)-negative, human epidermal growth factor receptor 2 (HER2)-positive tumors, but more likely for HR-positive, HER2-negative tumors. Given such heterogeneous outcomes among various racial and ethnic minority groups, further investigations would be warranted to optimize outcomes among such underserved populations. Abstract The purpose of this study was to evaluate nationwide trends in pathologic complete response (pCR) and its racial variations for breast cancer. The National Cancer Database was queried for women from 2010 to 2017 with non-metastatic breast cancer who underwent neoadjuvant chemotherapy. The primary endpoints, pCR and overall survival, were evaluated using Cochran-Armitage test, logistic, and Cox regression multivariable analyses. A total of 104,161 women were analyzed. Overall, pCR improved from 2010 to 2017 (15.1% to 27.2%, trend p < 0.001). Compared to non-Hispanic White (NHW) women, Hispanic White (HW) women were more likely to have pCR for hormone receptor (HR)-positive, human epidermal growth factor receptor 2 (HER2)-positive tumors (adjusted odds ratio (aOR) 1.29, 95% confidence interval (CI) 1.08–1.53, p = 0.005). Black women were less likely to have pCR for HR-HER2+ tumors (aOR 0.81, 95% CI 0.73–0.89, p < 0.001) and triple negative (aOR 0.82, 95% CI 0.77–0.87, p < 0.001) tumors, but more likely for HR+HER2- tumors (aOR 1.13, 95% CI 1.03–1.24, p = 0.009). Among patients who achieved pCR, Asian or Pacific Islander (API) women were associated with better survival (adjusted hazards ratio (aHR) 0.52, 95% CI 0.33–0.82, p = 0.005) than NHW women. Despite positive trends in pCR rates, the likelihood of pCR and survival outcomes may be intricately dependent on racial/ethnic groups and tumor receptor subtypes.
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Affiliation(s)
- Sung Jun Ma
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA; (S.J.M.); (M.K.F.); (A.J.I.)
| | - Lucas M. Serra
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, 955 Main Street, Buffalo, NY 14203, USA; (L.M.S.); (B.Y.)
| | - Brian Yu
- Jacobs School of Medicine and Biomedical Sciences, University at Buffalo, The State University of New York, 955 Main Street, Buffalo, NY 14203, USA; (L.M.S.); (B.Y.)
| | - Mark K. Farrugia
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA; (S.J.M.); (M.K.F.); (A.J.I.)
| | - Austin J. Iovoli
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA; (S.J.M.); (M.K.F.); (A.J.I.)
| | - Han Yu
- Department of Biostatistics and Bioinformatics, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA;
| | - Song Yao
- Department of Cancer Prevention and Control, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA;
| | - Oluwadamilola T. Oladeru
- Department of Radiation Oncology, University of Florida, 2000 SW Archer Road, Gainesville, FL 32610, USA;
| | - Anurag K. Singh
- Department of Radiation Medicine, Roswell Park Comprehensive Cancer Center, 665 Elm Street, Buffalo, NY 14203, USA; (S.J.M.); (M.K.F.); (A.J.I.)
- Correspondence: ; Tel.: +1-716-845-1179
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Zhu B, Joo L, Zhang T, Koka H, Lee D, Shi J, Lee P, Wang D, Wang F, Chan WC, Law SH, Tsoi YK, Tse GM, Lai SW, Wu C, Yang S, Yang Chan EY, Shan Wong SY, Wang M, Song L, Jones K, Zhu B, Hutchinson A, Hicks B, Prokunina-Olsson L, Garcia-Closas M, Chanock S, Tse LA, Yang XR. Comparison of somatic mutation landscapes in Chinese versus European breast cancer patients. HGG ADVANCES 2022; 3:100076. [PMID: 35047861 PMCID: PMC8756551 DOI: 10.1016/j.xhgg.2021.100076] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2021] [Accepted: 11/30/2021] [Indexed: 12/24/2022] Open
Abstract
Recent genomic studies suggest that Asian breast cancer (BC) may have distinct somatic features; however, most comparisons of BC genomic features across populations did not account for differences in age, subtype, and sequencing methods. In this study, we analyzed whole-exome sequencing (WES) data to characterize somatic copy number alterations (SCNAs) and mutation profiles in 98 Hong Kong BC (HKBC) patients and compared with those from The Cancer Genome Atlas of European ancestry (TCGA-EA, N = 686), which had similar distributions of age at diagnosis and PAM50 subtypes as in HKBC. We developed a two-sample Poisson model to compare driver gene selection pressure, which reflects the effect sizes of cancer driver genes, while accounting for differences in sample size, sequencing platforms, depths, and mutation calling methods. We found that somatic mutation and SCNA profiles were overall very similar between HKBC and TCGA-EA. The selection pressure for small insertions and deletions (indels) in GATA3 (false discovery rate (FDR) corrected p < 0.01) and single-nucleotide variants (SNVs) in TP53 (nominal p = 0.02, FDR corrected p = 0.28) was lower in HKBC than in TCGA-EA. Among the 13 signatures of single-base substitutions (SBS) that are common in BC, we found a suggestively higher contribution of SBS18 and a lower contribution of SBS1 in HKBC than in TCGA-EA, while the two APOBEC-induced signatures showed similar prevalence. Our results suggest that the genomic landscape of BC was largely very similar between HKBC and TCGA-EA, despite suggestive differences in some driver genes and mutational signatures that warrant future investigations in large and diverse Asian populations.
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Affiliation(s)
- Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Lijin Joo
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Tongwu Zhang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Hela Koka
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - DongHyuk Lee
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Jianxin Shi
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Priscilla Lee
- Division of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China
| | - Difei Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Feng Wang
- Division of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China
| | - Wing-cheong Chan
- Department of Surgery, North District Hospital, Hong Kong, China
| | - Sze Hong Law
- Department of Surgery, North District Hospital, Hong Kong, China
- Department of Pathology, Yan Chai Hospital, Hong Kong, China
| | - Yee-kei Tsoi
- Department of Surgery, North District Hospital, Hong Kong, China
| | - Gary M. Tse
- Department of Anatomical and Cellular Pathology, Prince of Wales Hospital, The Chinese University of Hong Kong, Hong Kong, China
| | - Shui Wun Lai
- Department of Pathology, North District Hospital, Hong Kong, China
| | - Cherry Wu
- Department of Pathology, North District Hospital, Hong Kong, China
| | - Shuyuan Yang
- Division of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China
| | - Emily Ying Yang Chan
- Division of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China
| | - Samuel Yeung Shan Wong
- Division of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China
| | - Mingyi Wang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Lei Song
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Kristine Jones
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Bin Zhu
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Amy Hutchinson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Belynda Hicks
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
- Cancer Genomics Research Laboratory, Leidos Biomedical Research, Frederick National Laboratory for Cancer Research, Frederick, MD, USA
| | - Ludmila Prokunina-Olsson
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Montserrat Garcia-Closas
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Stephen Chanock
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
| | - Lap Ah Tse
- Division of Occupational and Environmental Health, The Chinese University of Hong Kong, Hong Kong, China
| | - Xiaohong R. Yang
- Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institutes of Health, Rockville, MD, USA
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Kaufman JS, Merckx J, Cooper RS. Use of Racial and Ethnic Categories in Medical Testing and Diagnosis: Primum Non Nocere. Clin Chem 2021; 67:1456-1465. [PMID: 34557889 DOI: 10.1093/clinchem/hvab164] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/20/2021] [Accepted: 07/26/2021] [Indexed: 12/15/2022]
Abstract
BACKGROUND Use of race and ethnicity is common in medical tests and procedures, even though these categories are defined by sociological, historical, and political processes, and vary considerably in their definitions over time and place. Because all societies organize themselves around these constructs in some way, they are undeniable facets of the human experience, with myriad health consequences. In the biomedical literature, they are also commonly interpreted as representing biological heterogeneity that is relevant for health and disease. CONTENT We review the use of race and ethnicity in medical practice, especially in the USA, and provide 2 specific examples to represent a large number of similar instances. We then critique these uses along a number of different dimensions, including limitations in measurement, within- versus between-group variance, and implications for informativeness of risk markers for individuals, generalization from arbitrary or nonrepresentative samples, perpetuation of myths and stereotypes, instability in time and place, crowding out of more relevant risk markers, stigmatization, and the tainting of medicine with the history of oppression. We conclude with recommendations to improve practice that are technical, ethical, and pragmatic. SUMMARY Medicine has evolved from a mystical healing art to a mature science of human health through a rigorous process of quantification, experimentation, and evaluation. Folkloric traditions, such as race- and ethnic-specific medicine will fade from use as we become increasingly critical of outdated and irrational clinical practices and replace these with personalized, evidenced-based tests, algorithms, and procedures that privilege patients' individual humanity over obsolete and misleading labels.
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Liu CY, Huang CC, Tsai YF, Chao TC, Lien PJ, Lin YS, Feng CJ, Chen JL, Chen YJ, Chiu JH, Hsu CY, Tseng LM. VGH-TAYLOR: Comprehensive precision medicine study protocol on the heterogeneity of Taiwanese breast cancer patients. Future Oncol 2021; 17:4057-4069. [PMID: 34665002 DOI: 10.2217/fon-2021-0131] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
Heterogeneity in breast cancer leads to diverse morphological features and different clinical outcomes. There are inherent differences in breast cancer between the populations in Asia and in western countries. The use of immune-based treatment in breast cancer is currently in the developmental stage. The VGH-TAYLOR study is designed to understand the genetic profiling of different subtypes of breast cancer in Taiwan and define the molecular risk factors for breast cancer recurrence. The T-cell receptor repertoire and the potential effects of immunotherapy in breast cancer subjects is evaluated. The favorable biomarkers for early detection of tumor recurrence, diagnosis and prognosis may provide clues for the selection of individualized treatment regimens and improvement in breast cancer therapy.
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Affiliation(s)
- Chun-Yu Liu
- Division of Medical Oncology, Department of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan
- Division of Transfusion Medicine, Department of Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Chi-Cheng Huang
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Public Health, College of Public Health, National Taiwan University, Taipei, Taiwan
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yi-Fang Tsai
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ta-Chung Chao
- Division of Medical Oncology, Department of Oncology, Taipei Veterans General Hospital, Taipei, Taiwan
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
| | - Pei-Ju Lien
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- Department of Nursing, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yen-Shu Lin
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Chin-Jung Feng
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ji-Lin Chen
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Yen-Jen Chen
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Jen-Hwey Chiu
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
- Institute of Traditional Medicine, School of Medicine, National Yang-Ming University, Taipei, Taiwan
| | - Chih-Yi Hsu
- School of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Department of Pathology & Laboratory Medicine, Taipei Veterans General Hospital, Taipei, Taiwan
| | - Ling-Ming Tseng
- Comprehensive Breast Health Center, Taipei Veterans General Hospital, Taipei, Taiwan
- School of Medicine, National Yang Ming Chiao Tung University, Hsinchu, Taiwan
- Division of General Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
- Division of Experimental Surgery, Department of Surgery, Taipei Veterans General Hospital, Taipei, Taiwan
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Pan JW, Zabidi MMA, Chong BK, Meng MY, Ng PS, Hasan SN, Sandey B, Bahnu S, Rajadurai P, Yip CH, Rueda OM, Caldas C, Chin SF, Teo SH. Germline APOBEC3B deletion increases somatic hypermutation in Asian breast cancer that is associated with Her2 subtype, PIK3CA mutations and immune activation. Int J Cancer 2021; 148:2489-2501. [PMID: 33423300 DOI: 10.1002/ijc.33463] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/28/2020] [Revised: 12/03/2020] [Accepted: 12/04/2020] [Indexed: 12/11/2022]
Abstract
A 30-kb deletion that eliminates the coding region of APOBEC3B (A3B) is >5 times more common in women of Asian descent compared to European descent. This polymorphism creates a chimera with the APOBEC3A (A3A) coding region and A3B 3'UTR, and it is associated with an increased risk for breast cancer in Asian women. Here, we explored the relationship between the A3B deletion polymorphism with tumour characteristics in Asian women. Using whole exome and whole transcriptome sequencing data of 527 breast tumours, we report that germline A3B deletion polymorphism leads to expression of the A3A-B hybrid isoform and increased APOBEC-associated somatic hypermutation. Hypermutated tumours, regardless of A3B germline status, were associated with the Her2 molecular subtype and PIK3CA mutations. Compared to nonhypermutated tumours, hypermutated tumours also had higher neoantigen burden, tumour heterogeneity and immune activation. Taken together, our results suggest that the germline A3B deletion polymorphism, via the A3A-B hybrid isoform, contributes to APOBEC mutagenesis in a significant proportion of Asian breast cancers. In addition, APOBEC somatic hypermutation, regardless of A3B background, may be an important clinical biomarker for Asian breast cancers.
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Affiliation(s)
- Jia-Wern Pan
- Genomics and Bioinformatics Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia
| | | | - Boon-Keat Chong
- Genomics and Bioinformatics Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia
| | - Mei-Yee Meng
- Genomics and Bioinformatics Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia
| | - Pei-Sze Ng
- Genomics and Bioinformatics Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | - Siti Norhidayu Hasan
- Genomics and Bioinformatics Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia
| | - Bethan Sandey
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Cambridge, UK
| | - Saira Bahnu
- Subang Jaya Medical Centre, Subang Jaya, Malaysia
| | | | - Cheng-Har Yip
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
- Subang Jaya Medical Centre, Subang Jaya, Malaysia
| | - Oscar M Rueda
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Cambridge, UK
| | - Carlos Caldas
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Cambridge, UK
- Cambridge Breast Cancer Research Unit, CRUK Cambridge Cancer Centre, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre and Cambridge Experimental Cancer Medicine Centre, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - Suet-Feung Chin
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Cambridge, UK
| | - Soo-Hwang Teo
- Genomics and Bioinformatics Research Unit, Cancer Research Malaysia, Subang Jaya, Malaysia
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
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43
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Ng PS, Pan JW, Ahmad Zabidi MM, Rajadurai P, Yip CH, Reuda OM, Dunning AM, Antoniou AC, Easton DF, Caldas C, Chin SF, Teo SH. Characterisation of PALB2 tumours through whole-exome and whole-transcriptomic analyses. NPJ Breast Cancer 2021; 7:46. [PMID: 33893315 PMCID: PMC8065101 DOI: 10.1038/s41523-021-00254-4] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/05/2020] [Accepted: 03/26/2021] [Indexed: 02/08/2023] Open
Abstract
Rare protein-truncating variants (PTVs) in PALB2 confer increased risk to breast cancer, but relatively few studies have reported the characteristics of tumours with PALB2 PTVs. In this study, we describe molecular characteristics of tumours with either germline or somatic alterations in PALB2. DNA from fresh frozen tumour tissues and matched peripheral blood lymphocytes for 560 breast cancer patients was subjected for whole-exome sequencing (WES), and RNA from tumour tissues was subjected to RNA sequencing (RNA-seq). We found six cases with germline and three with somatic protein-truncating variants in PALB2. The characteristics of tumours in patients with PALB2 PTVs were similar to those with BRCA1 and BRCA2 PTVs, having significantly more somatic alterations, and a high proportion of the mutational signature and genomic scar scores characteristic of deficiencies in homologous recombination (HR), compared to tumours arising in non-carriers. Unlike tumours arising in patients with BRCA1 and BRCA2 PTVs, PALB2 tumours did not have high prevalence of TP53 somatic alterations or an enriched immune microenvironment. In summary, PALB2 tumours show the homologous recombination deficiencies characteristic of BRCA1 and BRCA2 tumours, and highlight the potential clinical relevance of PALB2 mutational status in guiding therapeutic choices.
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Affiliation(s)
- Pei Sze Ng
- Cancer Research Malaysia, Subang Jaya, Malaysia
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia
| | | | | | | | | | - Oscar M Reuda
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, UK
| | - Carlos Caldas
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Robinson Way, Cambridge, UK
- Cambridge Breast Cancer Research Unit, CRUK Cambridge Cancer Centre, Cambridge, UK
- NIHR Cambridge Biomedical Research Centre and Cambridge Experimental Cancer Medicine Centre, Cambridge University Hospital NHS Foundation Trust, Cambridge, UK
| | - Suet-Feung Chin
- Cancer Research UK, Cambridge Institute & Department of Oncology, Li Ka Shing Centre, Robinson Way, Cambridge, UK
| | - Soo Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Malaysia.
- University Malaya Cancer Research Institute, Faculty of Medicine, University Malaya, Kuala Lumpur, Malaysia.
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Wang S, Zhang K, Tang L, Yang Y, Wang H, Zhou Z, Pang J, Chen F. Association Between Single-Nucleotide Polymorphisms in Breast Cancer Susceptibility Genes and Clinicopathological Characteristics. Clin Epidemiol 2021; 13:103-112. [PMID: 33623437 PMCID: PMC7896729 DOI: 10.2147/clep.s292429] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2020] [Accepted: 01/21/2021] [Indexed: 01/04/2023] Open
Abstract
Objective The purpose of the present study was to evaluate the associations between seven tagging single nucleotide polymorphisms (tSNPs) and risk of breast cancer assessed by tumor pathological characteristics and body mass index (BMI). Methods Seven tSNPs of four breast cancer susceptibility genes were analyzed in 734 Chinese women with breast cancer and 672 age-matched healthy controls; then, the association with clinicopathological characteristics, BMI, molecular subtype, TNM (T, tumor; N, lymph node; M, metastasis) staging and lymph node status was determined by unconditional logistic regression. Results Rs12951053 in TP53 and rs16945628 in BRIP1, displayed increased risk of breast cancer in the BMI ≧ 25 kg/m2 group (OR=1.50, 95% CI: 1.02–2.21, P=0.041 and OR=1.92, 95% CI: 1.13–3.26, P=0.015, respectively). The other five tSNPs (rs1805812, rs2735385 and rs6999227 in NBS1, rs7220719 in BRIP1 and rs2299941 in PTEN) displayed a decreased risk of breast cancer in the 18.5≤BMI<25 kg/m2 group. Rs12951053 in TP53 and rs7220719 in BRIP1 exhibited an increased risk of triple‐negative breast cancer (OR=1.50, 95% CI: 1.05–2.15, P=0.026 and OR=2.13, 95% CI: 1.05–4.29, P=0.032, respectively), but three tSNPs in NBS1 (rs1805812, rs2735385 and rs6999227) all displayed a negative association with both luminal B and triple-negative breast cancer. The tSNP rs2299941 in PTEN also exhibited a negative association with each molecular subtype, except triple-negative breast cancer. The majority of tSNPs displayed a negative association with stage II or III breast cancer. Most tSNPs showed a negative association with breast cancer that was lymph node negative or with 1–3 positive nodes. Only rs12951053 in TP53 displayed a positive association with lymph node-negative breast cancer (OR=1.43, 95% CI: 1.08–1.91, P=0.013). Conclusion The majority of tSNPs displayed a negative association with breast cancer and only a few tSNPs (rs12951053 in TP53, rs16945628 and rs7220719 in BRIP1) showed an increased risk of breast cancer as defined by clinicopathological characteristics.
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Affiliation(s)
- Shouman Wang
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, People's Republic of China.,Clinical Research Center for Breast Cancer in Hunan Province, Changsha, Hunan Province, People's Republic of China
| | - Kejing Zhang
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, People's Republic of China.,Clinical Research Center for Breast Cancer in Hunan Province, Changsha, Hunan Province, People's Republic of China
| | - Lili Tang
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, People's Republic of China.,Clinical Research Center for Breast Cancer in Hunan Province, Changsha, Hunan Province, People's Republic of China
| | - Yuan Yang
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, People's Republic of China.,Clinical Research Center for Breast Cancer in Hunan Province, Changsha, Hunan Province, People's Republic of China
| | - Hao Wang
- Department of Breast Surgery, Second People's Hospital of Sichuan Province, Chengdu, Sichuan Province, People's Republic of China
| | - Zhiyang Zhou
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, People's Republic of China.,Clinical Research Center for Breast Cancer in Hunan Province, Changsha, Hunan Province, People's Republic of China
| | - Jian Pang
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, People's Republic of China.,Clinical Research Center for Breast Cancer in Hunan Province, Changsha, Hunan Province, People's Republic of China
| | - Feiyu Chen
- Department of Breast Surgery, Xiangya Hospital, Central South University, Changsha, Hunan Province, People's Republic of China.,Clinical Research Center for Breast Cancer in Hunan Province, Changsha, Hunan Province, People's Republic of China
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