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Zhang S, Wu SQY, Hum M, Perumal J, Tan EY, Lee ASG, Teng J, Dinish US, Olivo M. Complete characterization of RNA biomarker fingerprints using a multi-modal ATR-FTIR and SERS approach for label-free early breast cancer diagnosis. RSC Adv 2024; 14:3599-3610. [PMID: 38264270 PMCID: PMC10804230 DOI: 10.1039/d3ra05723b] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/22/2023] [Accepted: 11/17/2023] [Indexed: 01/25/2024] Open
Abstract
Breast cancer is a prevalent form of cancer worldwide, and the current standard screening method, mammography, often requires invasive biopsy procedures for further assessment. Recent research has explored microRNAs (miRNAs) in circulating blood as potential biomarkers for early breast cancer diagnosis. In this study, we employed a multi-modal spectroscopy approach, combining attenuated total reflection Fourier transform infrared (ATR-FTIR) and surface-enhanced Raman scattering (SERS) to comprehensively characterize the full-spectrum fingerprints of RNA biomarkers in the blood serum of breast cancer patients. The sensitivity of conventional FTIR and Raman spectroscopy was enhanced by ATR-FTIR and SERS through the utilization of a diamond ATR crystal and silver-coated silicon nanopillars, respectively. Moreover, a wider measurement wavelength range was achieved with the multi-modal approach than with a single spectroscopic method alone. We have shown the results on 91 clinical samples, which comprised 44 malignant and 47 benign cases. Principal component analysis (PCA) was performed on the ATR-FTIR, SERS, and multi-modal data. From the peak analysis, we gained insights into biomolecular absorption and scattering-related features, which aid in the differentiation of malignant and benign samples. Applying 32 machine learning algorithms to the PCA results, we identified key molecular fingerprints and demonstrated that the multi-modal approach outperforms individual techniques, achieving higher average validation accuracy (95.1%), blind test accuracy (91.6%), specificity (94.7%), sensitivity (95.5%), and F-score (94.8%). The support vector machine (SVM) model showed the best area under the curve (AUC) characterization value of 0.9979, indicating excellent performance. These findings highlight the potential of the multi-modal spectroscopy approach as an accurate, reliable, and rapid method for distinguishing between malignant and benign breast tumors in women. Such a label-free approach holds promise for improving early breast cancer diagnosis and patient outcomes.
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Affiliation(s)
- Shuyan Zhang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR) 2 Fusionopolis Way, Innovis #08-03 Singapore 138634 Republic of Singapore
| | - Steve Qing Yang Wu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR) 2 Fusionopolis Way, Innovis #08-03 Singapore 138634 Republic of Singapore
| | - Melissa Hum
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore (NCCS) 30 Hospital Boulevard Singapore 168583 Republic of Singapore
| | - Jayakumar Perumal
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR) 2 Fusionopolis Way, Innovis #08-03 Singapore 138634 Republic of Singapore
| | - Ern Yu Tan
- Breast & Endocrine Surgery, Tan Tock Seng Hospital (TTSH) 11 Jln Tan Tock Seng Singapore 308433 Republic of Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University 50 Nanyang Avenue Singapore 639798 Republic of Singapore
| | - Ann Siew Gek Lee
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore (NCCS) 30 Hospital Boulevard Singapore 168583 Republic of Singapore
- SingHealth Duke-NUS Oncology Academic Clinical Programme (ONCO ACP), Duke-NUS Medical School Singapore 169857 Republic of Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore Singapore 117593 Republic of Singapore
| | - Jinghua Teng
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR) 2 Fusionopolis Way, Innovis #08-03 Singapore 138634 Republic of Singapore
| | - U S Dinish
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR) 2 Fusionopolis Way, Innovis #08-03 Singapore 138634 Republic of Singapore
| | - Malini Olivo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR) 2 Fusionopolis Way, Innovis #08-03 Singapore 138634 Republic of Singapore
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Ho PJ, Khng AJ, Tan BKT, Lim GH, Tan SM, Tan VKM, Tan RSYC, Lim EH, Iau PTC, Chew YJ, Lim YY, Hartman M, Tan EY, Li J. Alterations to DNA methylation patterns induced by chemotherapy treatment are associated with negative impacts on the olfactory pathway. Breast Cancer Res 2023; 25:136. [PMID: 37932858 PMCID: PMC10626732 DOI: 10.1186/s13058-023-01730-4] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/05/2023] [Accepted: 10/15/2023] [Indexed: 11/08/2023] Open
Abstract
BACKGROUND Exposure to cytotoxic chemotherapy treatment may alter DNA methylation (DNAm) in breast cancer patients. METHODS We performed DNAm analysis in 125 breast cancer patients with blood drawn before and after chemotherapy, using the Illumina MethylationEPIC array. DNAm changes of 588,798 individual CpGs (including 41,207 promoter regions) were evaluated using linear regression models adjusted for monocyte proportion. Gene set enrichment analyses (GSEA) were conducted to identify key Gene Ontology (GO) biological processes or Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways associated with chemotherapy. Results were validated in a separate cohort of breast cancer patients who were treated (n = 1273) and not treated (n = 872) by chemotherapy (1808 blood, 337 saliva). RESULTS A total of 141 differentially methylated CpGs and 11 promoters were significantly associated with chemotherapy after multiple testing corrections in both the paired sample and single time point analyses. GSEA of promoter regions (pre-ranked by test statistics) identified six suppressed biological processes (p < 4.67e-8) related to sensory perception and detection of chemical stimuli, including smell perception (GO:0007606, GO:0007608, GO:0009593, GO:0050906, GO:0050907, and GO:0050911). The same six biological processes were significantly suppressed in the validation dataset (p < 9.02e-14). The KEGG pathway olfactory transduction (hsa04740) was also found to be significantly suppressed (ppaired-samples = 1.72e-9, psingle-timepoint-blood = 2.03e-15 and psingle-timepoint-saliva = 7.52e-56). CONCLUSION The enrichment of imprinted genes within biological processes and pathways suggests a biological mechanism by which chemotherapy could affect the perception of smell.
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Affiliation(s)
- Peh Joo Ho
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Republic of Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Republic of Singapore
| | - Alexis Jiaying Khng
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore
| | - Benita Kiat-Tee Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Republic of Singapore
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Republic of Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore, Republic of Singapore
| | - Geok Hoon Lim
- KK Breast Department, KK Women's and Children's Hospital, Singapore, 229899, Republic of Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore, Republic of Singapore
| | - Veronique Kiak Mien Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Republic of Singapore
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Republic of Singapore
| | - Ryan Shea Ying Cong Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Republic of Singapore
- Oncology Academic Programme, Duke-NUS Medical School, Singapore, Republic of Singapore
| | - Elaine Hsuen Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Republic of Singapore
| | - Philip Tsau-Choong Iau
- Department of Surgery, University Surgical Cluster, National University Health System, Singapore, 119228, Singapore
- Department of General Surgery, Ng Teng Fong General Hospital, 1 Jurong East St 21, Singapore, 609606, Republic of Singapore
| | - Ying Jia Chew
- Department of Surgery, University Surgical Cluster, National University Health System, Singapore, 119228, Singapore
- Department of General Surgery, Ng Teng Fong General Hospital, 1 Jurong East St 21, Singapore, 609606, Republic of Singapore
| | - Yi Ying Lim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Republic of Singapore
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Republic of Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Republic of Singapore
- Department of Surgery, University Surgical Cluster, National University Health System, Singapore, 119228, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Republic of Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Republic of Singapore
| | - Jingmei Li
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore, 138672, Republic of Singapore.
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Republic of Singapore.
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Lim ZL, Ho PJ, Hartman M, Tan EY, Riza NKBM, Lim EH, Nitar P, Joint Breast Cancer Registry Jbcr, Wong FY, Li J. How Asian Breast Cancer Patients Experience Unequal Incidence of Chemotherapy Side Effects: A Look at Ethnic Disparities in Febrile Neutropenia Rates. Cancers (Basel) 2023; 15:3590. [PMID: 37509253 PMCID: PMC10377556 DOI: 10.3390/cancers15143590] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/05/2023] [Revised: 06/26/2023] [Accepted: 07/03/2023] [Indexed: 07/30/2023] Open
Abstract
The majority of published findings on chemotherapy-induced febrile neutropenia (FN) are restricted to three ethnic groups: Asians, Caucasians, and African Americans. In this two-part study, we examined FN incidence and risk factors in Chinese, Malay, and Indian chemotherapy-treated breast cancer (BC) patients. Hospital records or ICD codes were used to identify patients with FN. In both the Singapore Breast Cancer Cohort (SGBCC) and the Joint Breast Cancer Registry (JBCR), the time of the first FN from the start of chemotherapy was estimated using Cox regression. Multinomial regression was used to evaluate differences in various characteristics across ethnicities. FN was observed in 170 of 1014 patients in SGBCC. The Cox model showed that non-Chinese were at higher risk of developing FN (HRMalay [95% CI]:2.04 [1.44-2.88], p < 0.001; HRIndian:1.88 [1.11-3.18], p = 0.018). In JBCR, FN was observed in 965 of 7449 patients. Univariable Cox models identified ethnicity, a lower baseline absolute neutrophil count, non-luminal A proxy subtypes, and anthracycline-containing regimens as risk factors. Disparities across ethnicities' risk (HRMalay:1.29 [1.07-1.54], p = 0.006; HRIndian:1.50 [1.19-1.88], p < 0.001) remained significant even after further adjustments. Finally, an age-adjusted multinomial model showed that Malays (p = 0.006) and Indians (p = 0.009) were significantly more likely to develop multiple episodes of FN during treatment. Ethnic differences in chemotherapy-induced FN among BC patients exist. Further studies can focus on investigating pharmacogenetic differences across ethnicities.
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Affiliation(s)
- Zi Lin Lim
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore 138672, Singapore
| | - Peh Joo Ho
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore 138672, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
- Department of Surgery, National University Hospital, Singapore 119054, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore 308232, Singapore
| | | | - Elaine Hsuen Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore
| | - Phyu Nitar
- Department of Cancer Informatics, National Cancer Centre Singapore, Singapore 169610, Singapore
| | | | - Fuh Yong Wong
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore
| | - Jingmei Li
- Genome Institute of Singapore (GIS), Agency for Science, Technology and Research (A*STAR), 60 Biopolis Street, Genome, Singapore 138672, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
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Zhang S, Wu QYS, Chen YF, Hum M, Wong DCL, Tan EY, Lee ASG, Teng J, U S D, Olivo M. Label-free detection of MiRNA biomarkers using broadband multi-resonant infrared metasurfaces for early breast cancer diagnosis. Nanoscale 2023. [PMID: 37249020 DOI: 10.1039/d3nr01369c] [Citation(s) in RCA: 1] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/31/2023]
Abstract
Breast cancer is the most prevalent cancer globally. Early detection is crucial and can be achieved by detecting cancer biomarkers in blood, such as circulating miRNAs (microRNAs). In this study, we present a label-free detection method based on broadband multi-resonant infrared metasurface for surface-enhanced infrared absorption (SEIRA) spectroscopy to detect miRNAs. The SEIRA resonances were optimized to match the miRNA biomarker fingerprint regions in the range of 800 to 2000 cm-1 and 2800 to 3500 cm-1, resulting in a simulated resonance enhancement of up to 103 times. Nine patient samples (six cancerous and three non-cancerous) were measured using SEIRA multi-well sensor chips. A novel analysis method, SEIRA-AR, was also developed to benchmark the results against industry standards, such as quantitative reverse transcription polymerase chain reaction (RT-qPCR) and next-generation sequencing (NGS). Our results showed an excellent linear correlation with a Pearson's r value of up to 0.99 and an R Squared value of up to 0.98. This study represents the first use of a SEIRA sensor for biomarker detection on clinical breast cancer samples and introduces an analysis method that produces results comparable to industry standards. Our findings pave the way for routine cancer diagnosis in the future. Additionally, the method discussed can be generalized to other biosensing activities involving two-step binding processes with complementary molecule-capturing agents.
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Affiliation(s)
- Shuyan Zhang
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore.
| | - Qing Yang Steve Wu
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore.
| | - Yi Fan Chen
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore.
| | - Melissa Hum
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre (NCC), 30 Hospital Boulevard, Singapore, 169610, Republic of Singapore.
| | - Dave Chi Lok Wong
- Chang Gung University, No. 259, Wenhua 1 st Rd, Guishan District, Taoyuan City, 333, Taiwan, Republic of China
| | - Ern Yu Tan
- Breast & Endocrine Surgery, Tan Tock Seng Hospital (TTSH), 11 Jln Tan Tock Seng, Singapore, 308433, Republic of Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Republic of Singapore
| | - Ann Siew Gek Lee
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre (NCC), 30 Hospital Boulevard, Singapore, 169610, Republic of Singapore.
| | - Jinghua Teng
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore.
| | - Dinish U S
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore.
| | - Malini Olivo
- Institute of Materials Research and Engineering (IMRE), Agency for Science, Technology and Research (A*STAR), 2 Fusionopolis Way, Innovis #08-03, Singapore, 138634, Republic of Singapore.
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Zhang J, Hu Z, Chung HH, Tian Y, Lau KW, Ser Z, Lim YT, Sobota RM, Leong HF, Chen BJ, Yeo CJ, Tan SYX, Kang J, Tan DEK, Sou IF, McClurg UL, Lakshmanan M, Vaiyapuri TS, Raju A, Wong ESM, Tergaonkar V, Rajarethinam R, Pathak E, Tam WL, Tan EY, Tee WW. Dependency of NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis. Nat Commun 2023; 14:2439. [PMID: 37117180 PMCID: PMC10147683 DOI: 10.1038/s41467-023-38132-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 04/17/2023] [Indexed: 04/30/2023] Open
Abstract
Cancer cells undergo transcriptional reprogramming to drive tumor progression and metastasis. Using cancer cell lines and patient-derived tumor organoids, we demonstrate that loss of the negative elongation factor (NELF) complex inhibits breast cancer development through downregulating epithelial-mesenchymal transition (EMT) and stemness-associated genes. Quantitative multiplexed Rapid Immunoprecipitation Mass spectrometry of Endogenous proteins (qPLEX-RIME) further reveals a significant rewiring of NELF-E-associated chromatin partners as a function of EMT and a co-option of NELF-E with the key EMT transcription factor SLUG. Accordingly, loss of NELF-E leads to impaired SLUG binding on chromatin. Through integrative transcriptomic and genomic analyses, we identify the histone acetyltransferase, KAT2B, as a key functional target of NELF-E-SLUG. Genetic and pharmacological inactivation of KAT2B ameliorate the expression of EMT markers, phenocopying NELF ablation. Elevated expression of NELF-E and KAT2B is associated with poorer prognosis in breast cancer patients, highlighting the clinical relevance of our findings. Taken together, we uncover a crucial role of the NELF-E-SLUG-KAT2B epigenetic axis in breast cancer carcinogenesis.
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Affiliation(s)
- Jieqiong Zhang
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117593, Republic of Singapore
| | - Zhenhua Hu
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Hwa Hwa Chung
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Yun Tian
- Department of Oncology, Jiangsu Province Hospital of Chinese Medicine, Affiliated Hospital of Nanjing University of Chinese Medicine, 210004, Nanjing, People's Republic of China
| | - Kah Weng Lau
- Department of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore
| | - Zheng Ser
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Yan Ting Lim
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Radoslaw M Sobota
- Functional Proteomics Laboratory, SingMass National Laboratory, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Hwei Fen Leong
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Benjamin Jieming Chen
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Clarisse Jingyi Yeo
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Shawn Ying Xuan Tan
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Jian Kang
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Dennis Eng Kiat Tan
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Ieng Fong Sou
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Urszula Lucja McClurg
- Institute of Systems, Molecular and Integrative Biology, University of Liverpool, Liverpool, L69 7ZB, UK
| | - Manikandan Lakshmanan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Thamil Selvan Vaiyapuri
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Anandhkumar Raju
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Esther Sook Miin Wong
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Vinay Tergaonkar
- Department of Pathology, National University Hospital, 5 Lower Kent Ridge Road, Singapore, 119074, Republic of Singapore
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Republic of Singapore
| | - Ravisankar Rajarethinam
- Advanced Molecular Pathology Laboratory, Institute of Molecular and Cell Biology, Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
| | - Elina Pathak
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis Drive, Genome, Singapore, 138672, Republic of Singapore
| | - Wai Leong Tam
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, 8 Medical Drive, Singapore, 117597, Republic of Singapore
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), 60 Biopolis Drive, Genome, Singapore, 138672, Republic of Singapore
- Cancer Science Institute of Singapore, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore
| | - Ern Yu Tan
- Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Republic of Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 308232, Republic of Singapore
| | - Wee-Wei Tee
- Chromatin Dynamics and Disease Epigenetics Lab, Institute of Molecular and Cell Biology (IMCB), Agency for Science, Technology and Research (A*STAR), 61 Biopolis Drive, Proteos, Singapore, 138673, Republic of Singapore.
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117593, Republic of Singapore.
- NUS Centre for Cancer Research, Yong Loo Lin School of Medicine, National University of Singapore, 14 Medical Drive, Singapore, 117599, Republic of Singapore.
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Foo RJK, Tian S, Tan EY, Goh WWB. A novel survival prediction signature outperforms PAM50 and artificial intelligence-based feature-selection methods. Comput Biol Chem 2023; 104:107845. [PMID: 36889140 DOI: 10.1016/j.compbiolchem.2023.107845] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/09/2022] [Revised: 01/06/2023] [Accepted: 03/01/2023] [Indexed: 03/08/2023]
Abstract
The robustness of a breast cancer gene signature, the super-proliferation set (SPS), is initially tested and investigated on breast cancer cell lines from the Cancer Cell Line Encyclopaedia (CCLE). Previously, SPS was derived via a meta-analysis of 47 independent breast cancer gene signatures, benchmarked on survival information from clinical data in the NKI dataset. Here, relying on the stability of cell line data and associative prior knowledge, we first demonstrate through Principal Component Analysis (PCA) that SPS prioritizes survival information over secondary subtype information, surpassing both PAM50 and Boruta, an artificial intelligence-based feature-selection algorithm, in this regard. We can also extract higher resolution 'progression' information using SPS, dividing survival outcomes into several clinically relevant stages ('good', 'intermediate', and 'bad) based on different quadrants of the PCA scatterplot. Furthermore, by transferring these 'progression' annotations onto independent clinical datasets, we demonstrate the generalisability of our method on actual patient data. Finally, via the characteristic genetic profiles of each quadrant/stage, we identified efficacious drugs using their gene reversal scores that can shift signatures across quadrants/stages, in a process known as gene signature reversal. This confirms the power of meta-analytical approaches for gene signature inference in breast cancer, as well as the clinical benefit in translating these inferences onto real-world patient data for more targeted therapies.
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Affiliation(s)
- Reuben Jyong Kiat Foo
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore
| | - Siqi Tian
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore
| | - Ern Yu Tan
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; Tan Tock Seng Hospital, Singapore
| | - Wilson Wen Bin Goh
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore; School of Biological Sciences, Nanyang Technological University, Singapore; Centre for Biomedical Informatics, Nanyang Technological University, Singapore.
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Ho PJ, Khng AJ, Tan BKT, Tan EY, Lim GH, Tan SM, Tan VKM, Lim EH, Hartman M, Li J. Abstract P6-01-44: Alteration of DNA methylation landscape in breast patients treated with adjuvant chemotherapy. Cancer Res 2023. [DOI: 10.1158/1538-7445.sabcs22-p6-01-44] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 03/06/2023]
Abstract
Abstract
Background Exposure to cytotoxic chemotherapy treatment may alter DNA methylation (DNAm) in treated patients. Methods We performed DNAm analysis in 1,244 and 897 breast cancer patients treated and not treated by adjuvant chemotherapy using the Illumina MethylationEPIC array (1,804 blood, 337 saliva). DNAm changes of 620,095 individual CpGs and 41,581 promoters were evaluated using linear regression models, adjusting for age at diagnosis, ethnicity, years between sample collection and diagnosis and cell-type heterogeneity. Results from datasets normalized separately were combined by meta-analysis (random effects model). Gene set enrichment analyses were conducted to identify key processes or pathways associated with chemotherapy treatment. Results A total of 425 differentially methylated CpGs and 20 promoters were significantly associated with chemotherapy treatment (p< 5e-8). Enriched gene sets among 3,495 chemotherapy-associated promoters (unadjusted p< 0.05, preranked by Z scores) included three suppressed Gene Ontology (GO) terms that survived Bonferroni correction (GO:0002376, immune system process; GO:0009605, response to external stimulus; and GO:1903034: regulation of response to wounding). Using meta-analysis regression coefficients for all promoters as a ranking metric, olfactory transduction (KEGG, hsa04740) was found to be significantly suppressed (unadjusted p=6.38e-06, adjusted p=0.002). Taste transduction (hsa04742, unadjusted p=1.73e-03, adjusted p=0.565) was the next most significantly suppressed pathway. Conclusion The enrichment of imprinted genes within biological processes and pathways suggests a biological mechanism by which chemotherapy treatment could affect immune response, wound healing and changes in the perceptions of smell and taste.
Citation Format: Peh Joo Ho, Alexis Jiaying Khng, Benita Kiat Tee Tan, Ern Yu Tan, Geok hoon Lim, Su-Ming Tan, Veronique Kiak Mien Tan, Elaine Hsuen Lim, Mikael Hartman, Jingmei Li. Alteration of DNA methylation landscape in breast patients treated with adjuvant chemotherapy [abstract]. In: Proceedings of the 2022 San Antonio Breast Cancer Symposium; 2022 Dec 6-10; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2023;83(5 Suppl):Abstract nr P6-01-44.
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Affiliation(s)
| | | | | | | | | | - Su-Ming Tan
- 6Division of Breast Surgery, Department of General Surgery, Changi General Hospital, Singapore
| | | | | | - Mikael Hartman
- 9National University of Singapore Yong Loo Lin School of Medicine
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8
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Ong SS, Xu J, Sim CK, Khng AJ, Ho PJ, Kwan PKW, Ravikrishnan A, Tan KTB, Tan QT, Tan EY, Tan SM, Putti TC, Lim SH, Tang ELS, Nagarajan N, Karnani N, Li J, Hartman M. Profiling Microbial Communities in Idiopathic Granulomatous Mastitis. Int J Mol Sci 2023; 24:ijms24021042. [PMID: 36674562 PMCID: PMC9863225 DOI: 10.3390/ijms24021042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/29/2022] [Revised: 12/27/2022] [Accepted: 12/30/2022] [Indexed: 01/06/2023] Open
Abstract
Idiopathic granulomatous mastitis (IGM) is a rare and benign inflammatory breast disease with ambiguous aetiology. Contrastingly, lactational mastitis (LM) is commonly diagnosed in breastfeeding women. To investigate IGM aetiology, we profiled the microbial flora of pus and skin in patients with IGM and LM. A total of 26 patients with IGM and 6 patients with LM were included in the study. The 16S rRNA sequencing libraries were constructed from 16S rRNA gene amplified from total DNA extracted from pus and skin swabs in patients with IGM and LM controls. Constructed libraries were multiplexed and paired-end sequenced on HiSeq4000. Metagenomic analysis was conducted using modified microbiome abundance analysis suite customised R-resource for paired pus and skin samples. Microbiome multivariable association analyses were performed using linear models. A total of 21 IGM and 3 LM paired pus and skin samples underwent metagenomic analysis. Bray−Curtis ecological dissimilarity distance showed dissimilarity across four sample types (IGM pus, IGM skin, LM pus, and LM skin; PERMANOVA, p < 0.001). No characteristic dominant genus was observed across the IGM samples. The IGM pus samples were more diverse than corresponding IGM skin samples (Shannon and Simpson index; Wilcoxon paired signed-rank tests, p = 0.022 and p = 0.07). Corynebacterium kroppenstedtii, reportedly associated with IGM in the literature, was higher in IGM pus samples than paired skin samples (Wilcoxon, p = 0.022). Three other species and nineteen genera were statistically significant in paired IGM pus−skin comparison after antibiotic treatment adjustment and multiple comparisons correction. Microbial profiles are unique between patients with IGM and LM. Inter-patient variability and polymicrobial IGM pus samples cannot implicate specific genus or species as an infectious cause for IGM.
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Affiliation(s)
- Seeu Si Ong
- Women’s Health and Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Jia Xu
- Human Development, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore
| | - Choon Kiat Sim
- Human Development, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore
| | - Alexis Jiaying Khng
- Women’s Health and Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Peh Joo Ho
- Women’s Health and Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
- Saw Swee Hock, School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Philip Kam Weng Kwan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Aarthi Ravikrishnan
- Metagenomic Technologies and Microbial Systems, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Kiat-Tee Benita Tan
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore
- Department of Breast Surgery, Singapore General Hospital, Singapore 169608, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore 544886, Singapore
| | - Qing Ting Tan
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore 229899, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
- Institute of Molecular and Cell Biology, Agency for Science, Technology and Research, Singapore 138673, Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore 529889, Singapore
| | - Thomas Choudary Putti
- Department of Pathology, National University Health System, Singapore 119228, Singapore
| | - Swee Ho Lim
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore 229899, Singapore
| | - Ee Ling Serene Tang
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
- Department of Surgery, Woodlands Health Campus, Singapore 768024, Singapore
| | - Niranjan Nagarajan
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
- Metagenomic Technologies and Microbial Systems, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
| | - Neerja Karnani
- Human Development, Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research, Singapore 117609, Singapore
- Data Hub Division, Bioinformatics Institute, Agency for Science, Technology and Research, Singapore 138671, Singapore
- Department of Biochemistry, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
| | - Jingmei Li
- Women’s Health and Genetics, Genome Institute of Singapore, Agency for Science, Technology and Research, Singapore 138672, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
- Correspondence: ; Tel.: +(65)-6808-8312
| | - Mikael Hartman
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore
- Saw Swee Hock, School of Public Health, National University of Singapore, Singapore 117549, Singapore
- Department of Surgery, University Surgical Cluster, National University Health System, Singapore 119228, Singapore
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9
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Wilding R, Sheraton VM, Soto L, Chotai N, Tan EY. Deep learning applied to breast imaging classification and segmentation with human expert intervention. J Ultrasound 2022; 25:659-666. [PMID: 35000127 PMCID: PMC9402837 DOI: 10.1007/s40477-021-00642-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/17/2021] [Accepted: 11/22/2021] [Indexed: 11/30/2022] Open
Abstract
PURPOSE Automatic classification and segmentation of tumors in breast ultrasound images enables better diagnosis and planning treatment strategies for breast cancer patients. METHODS We collected 953 breast ultrasound images from two open-source datasets and classified them with help of an expert radiologist according to BI-RADS criteria. The data was split into normal, benign and malignant classes. We then used machine learning to develop classification and segmentation algorithms. RESULTS We found 3.92% of the images across the open-source datasets had erroneous classifications. Post-radiologist intervention, three algorithms were developed based on the classification categories. Classification algorithms distinguished images with healthy breast tissue from those with abnormal tissue with 96% accuracy, and distinguished benign from malignant images with 85% accuracy. Both algorithms generated robust F1 and AUROC metrics. Finally, the masses within images were segmented with an 80.31% DICE score. CONCLUSIONS Our work illustrates the potential of deep learning algorithms to improve the accuracy of breast ultrasound assessments and to facilitate automated assessments.
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Affiliation(s)
| | | | - Lysabella Soto
- Research Department, RESOMED, Maracaibo, Venezuela
- Postgraduate Division Studies of Radiology, Medicine School of Zulia's University, Maracaibo, Venezuela
| | - Niketa Chotai
- Department of Radiology, RadLink Diagnostic Imaging Center, Singapore, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, Singapore.
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10
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Ho PJ, Khng AJ, Tan BKT, Tan EY, Tan SM, Tan VKM, Lim GH, Aronson KJ, Chan TL, Choi JY, Dennis J, Ho WK, Hou MF, Ito H, Iwasaki M, John EM, Kang D, Kim SW, Kurian AW, Kwong A, Lophatananon A, Matsuo K, Mohd-Taib NA, Muir K, Murphy RA, Park SK, Shen CY, Shu XO, Teo SH, Wang Q, Yamaji T, Zheng W, Bolla MK, Dunning AM, Easton DF, Pharoah PDP, Hartman M, Li J. Relevance of the MHC region for breast cancer susceptibility in Asians. Breast Cancer 2022; 29:869-879. [PMID: 35543923 PMCID: PMC9385763 DOI: 10.1007/s12282-022-01366-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/30/2022] [Accepted: 04/22/2022] [Indexed: 11/24/2022]
Abstract
BACKGROUND Human leukocyte antigen (HLA) genes play critical roles in immune surveillance, an important defence against tumors. Imputing HLA genotypes from existing single-nucleotide polymorphism datasets is low-cost and efficient. We investigate the relevance of the major histocompatibility complex region in breast cancer susceptibility, using imputed class I and II HLA alleles, in 25,484 women of Asian ancestry. METHODS A total of 12,901 breast cancer cases and 12,583 controls from 12 case-control studies were included in our pooled analysis. HLA imputation was performed using SNP2HLA on 10,886 quality-controlled variants within the 15-55 Mb region on chromosome 6. HLA alleles (n = 175) with info scores greater than 0.8 and frequencies greater than 0.01 were included (resolution at two-digit level: 71; four-digit level: 104). We studied the associations between HLA alleles and breast cancer risk using logistic regression, adjusting for population structure and age. Associations between HLA alleles and the risk of subtypes of breast cancer (ER-positive, ER-negative, HER2-positive, HER2-negative, early-stage, and late-stage) were examined. RESULTS We did not observe associations between any HLA allele and breast cancer risk at P < 5e-8; the smallest p value was observed for HLA-C*12:03 (OR = 1.29, P = 1.08e-3). Ninety-five percent of the effect sizes (OR) observed were between 0.90 and 1.23. Similar results were observed when different subtypes of breast cancer were studied (95% of ORs were between 0.85 and 1.18). CONCLUSIONS No imputed HLA allele was associated with breast cancer risk in our large Asian study. Direct measurement of HLA gene expressions may be required to further explore the associations between HLA genes and breast cancer risk.
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Affiliation(s)
- Peh Joo Ho
- Women’s Health and Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore, 138672 Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 119077 Singapore
- Department of Surgery, National University Health System, Singapore, 119228 Singapore
| | - Alexis Jiaying Khng
- Women’s Health and Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore, 138672 Singapore
| | - Benita Kiat-Tee Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433 Singapore
- Lee Kong Chian School of Medicine, Singapore, Singapore
- Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Veronique Kiak Mien Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Geok Hoon Lim
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore, 229899 Singapore
| | - Kristan J. Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen’s University, Kingston, ON K7L 3N6 Canada
| | - Tsun L. Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong, Hong Kong
- Department of Molecular Pathology, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, 03080 Korea
- Cancer Research Institute, Seoul National University, Seoul, 03080 Korea
- Institute of Health Policy and Management, Seoul National University Medical Research Center, Seoul, 03080 Korea
| | - Joe Dennis
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB1 8RN UK
| | - Weang-Kee Ho
- Department of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia Campus, 43500 Semenyih, Selangor Malaysia
- Breast Cancer Research Programme, Cancer Research Malaysia, 47500 Subang Jaya, Selangor Malaysia
| | - Ming-Feng Hou
- Department of Surgery, Kaohsiung Municipal Hsiao-Kang Hospital, Kao-hsiung, 812 Taiwan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, 464-8681 Japan
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, 466-8550 Japan
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, 104-0045 Japan
| | - Esther M. John
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94305 USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94304 USA
| | - Daehee Kang
- Cancer Research Institute, Seoul National University, Seoul, 03080 Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, 03080 Korea
| | - Sung-Won Kim
- Department of Surgery, Daerim Saint Mary’s Hospital, Seoul, 07442 Korea
| | - Allison W. Kurian
- Department of Epidemiology and Population Health, Stanford University School of Medicine, Stanford, CA 94305 USA
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA 94304 USA
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Hong Kong, Hong Kong
- Department of Surgery, The University of Hong Kong, Hong Kong, Hong Kong
- Department of Surgery and Cancer Genetics Center, Hong Kong Sanatorium and Hospital, Hong Kong, Hong Kong
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL UK
| | - Keitaro Matsuo
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, 466-8550 Japan
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, 464-8681 Japan
| | - Nur Aishah Mohd-Taib
- Department of Surgery, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, Faculty of Biology, Medicine and Health, The University of Manchester, Manchester, M13 9PL UK
| | - Rachel A. Murphy
- School of Population and Public Health, University of British Columbia, Vancouver, BC V6T 1Z4 Canada
- Cancer Control Research, BC Cancer, Vancouver, BC V5Z 1L3 Canada
| | - Sue K. Park
- Cancer Research Institute, Seoul National University, Seoul, 03080 Korea
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, 03080 Korea
- Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, 03080 South Korea
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, 115 Taiwan
- School of Public Health, China Medical University, Taichung, Taiwan
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232 USA
| | - Soo Hwang Teo
- Breast Cancer Research Programme, Cancer Research Malaysia, 47500 Subang Jaya, Selangor Malaysia
- Department of Surgery, Faculty of Medicine, University of Malaya, 50603 Kuala Lumpur, Malaysia
| | - Qin Wang
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB1 8RN UK
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, 104-0045 Japan
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, Nashville, TN 37232 USA
| | - Manjeet K. Bolla
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB1 8RN UK
| | - Alison M. Dunning
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB1 8RN UK
| | - Douglas F. Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB1 8RN UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB1 8RN UK
| | - Paul D. P. Pharoah
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB1 8RN UK
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, CB1 8RN UK
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, 119077 Singapore
- Department of Surgery, National University Health System, Singapore, 119228 Singapore
| | - Jingmei Li
- Women’s Health and Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore, 138672 Singapore
- Department of Surgery, National University Health System, Singapore, 119228 Singapore
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11
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Lim ZL, Ho PJ, Khng AJ, Yeoh YS, Ong ATW, Tan BKT, Tan EY, Tan SM, Lim GH, Lee JA, Tan VKM, Hu J, Li J, Hartman M. Mammography screening is associated with more favourable breast cancer tumour characteristics and better overall survival: case-only analysis of 3739 Asian breast cancer patients. BMC Med 2022; 20:239. [PMID: 35922814 PMCID: PMC9351273 DOI: 10.1186/s12916-022-02440-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/04/2022] [Accepted: 06/15/2022] [Indexed: 11/19/2022] Open
Abstract
BACKGROUND Early detection of breast cancer (BC) through mammography screening (MAM) is known to reduce mortality. We examined the differential effect that mammography has on BC characteristics and overall survival and the sociodemographic determinants of MAM utilization in a multi-ethnic Asian population. METHODS This study included 3739 BC patients from the Singapore Breast Cancer Cohort (2010-2018). Self-reported sociodemographic characteristics were collected using a structured questionnaire. Clinical data were obtained through medical records. Patients were classified as screeners (last screening mammogram ≤ 2 years before diagnosis), non-screeners (aware but did not attend or last screen > 2years), and those unaware of MAM. Associations between MAM behaviour (MB) and sociodemographic factors and MB and tumour characteristics were examined using multinomial regression. Ten-year overall survival was modelled using Cox regression. RESULTS Patients unaware of screening were more likely diagnosed with late stage (ORstage III vs stage I (Ref) [95% CI]: 4.94 [3.45-7.07], p < 0.001), high grade (ORpoorly vs well-differentiated (reference): 1.53 [1.06-2.20], p = 0.022), nodal-positive, large size (OR>5cm vs ≤2cm (reference): 5.06 [3.10-8.25], p < 0.001), and HER2-positive tumours (ORHER2-negative vs HER2-positive (reference): 0.72 [0.53-0.97], p = 0.028). Similar trends were observed between screeners and non-screeners with smaller effect sizes. Overall survival was significantly shorter than screeners in the both groups (HRnon-screeners: 1.89 [1.22-2.94], p = 0.005; HRunaware: 2.90 [1.69-4.98], p < 0.001). Non-screeners and those unaware were less health conscious, older, of Malay ethnicity, less highly educated, of lower socioeconomic status, more frequently ever smokers, and less physically active. Among screeners, there were more reported personal histories of benign breast surgeries or gynaecological conditions and positive family history of breast cancer. CONCLUSIONS Mammography attendance is associated with more favourable BC characteristics and overall survival. Disparities in the utility of MAM services suggest that different strategies may be needed to improve MAM uptake.
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Affiliation(s)
- Zi Lin Lim
- Genome Institute of Singapore, Laboratory of Women's Health & Genetics, 60 Biopolis Street, Genome, #02-01, Singapore, 138672, Singapore
| | - Peh Joo Ho
- Genome Institute of Singapore, Laboratory of Women's Health & Genetics, 60 Biopolis Street, Genome, #02-01, Singapore, 138672, Singapore.,Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore
| | - Alexis Jiaying Khng
- Genome Institute of Singapore, Laboratory of Women's Health & Genetics, 60 Biopolis Street, Genome, #02-01, Singapore, 138672, Singapore
| | - Yen Shing Yeoh
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Amanda Tse Woon Ong
- Department of Surgery, National University Hospital, Singapore, 119054, Singapore
| | - Benita Kiat Tee Tan
- Department of General Surgery, Sengkang General Hospital, Singapore, 544886, Singapore.,Department of Breast Surgery, Singapore General Hospital, Singapore, 168753, Singapore.,Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Singapore.,Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore, 308232, Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore, 529889, Singapore
| | - Geok Hoon Lim
- Breast Department, KK Women's and Children's Hospital, Singapore, 229899, Singapore.,Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Jung Ah Lee
- Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Veronique Kiak-Mien Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, 168753, Singapore.,Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, 169610, Singapore
| | - Jesse Hu
- Department of General Surgery, Ng Teng Fong General Hospital, Singapore, 609606, Singapore
| | - Jingmei Li
- Genome Institute of Singapore, Laboratory of Women's Health & Genetics, 60 Biopolis Street, Genome, #02-01, Singapore, 138672, Singapore. .,Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore, 117549, Singapore.,Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.,Department of Surgery, National University Hospital, Singapore, 119054, Singapore
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12
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Udagawa C, Kuah S, Shimoi T, Kato K, Yoshida T, Nakano MH, Shimo A, Kojima Y, Yoshie R, Tsugawa K, Mushiroda T, Tan EY, Zembutsu H. Replication Study for the Association of Five SNPs Identified by GWAS and Trastuzumab-Induced Cardiotoxicity in Japanese and Singaporean Cohorts. Biol Pharm Bull 2022; 45:1198-1202. [DOI: 10.1248/bpb.b22-00136] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/22/2022]
Affiliation(s)
- Chihiro Udagawa
- Department of Genetics Medicine and services, National Cancer Center Hospital
| | - Sherwin Kuah
- Department of General Surgery, Tan Tock Seng Hospital
| | | | - Ken Kato
- Department of Gastrointestinal Medical Oncology, National Cancer Center Hospital
| | - Teruhiko Yoshida
- Department of Genetics Medicine and services, National Cancer Center Hospital
| | - Mari Hara Nakano
- Division of Breast and Endocrine Surgery, Department of Surgery, St. Marianna University School of Medicine
| | - Arata Shimo
- Division of Breast and Endocrine Surgery, Department of Surgery, St. Marianna University School of Medicine
| | - Yasuyuki Kojima
- Division of Breast and Endocrine Surgery, Department of Surgery, St. Marianna University School of Medicine
| | - Reiko Yoshie
- Division of Breast and Endocrine Surgery, Department of Surgery, St. Marianna University School of Medicine
| | - Koichiro Tsugawa
- Division of Breast and Endocrine Surgery, Department of Surgery, St. Marianna University School of Medicine
| | - Taisei Mushiroda
- Laboratory for Pharmacogenomics, RIKEN Center for Integrative Medical Science
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital
| | - Hitoshi Zembutsu
- Department of Clinical Genomics, National Cancer Center Research Institute
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13
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Ma S, Zhao Y, Lee WC, Ong LT, Lee PL, Jiang Z, Oguz G, Niu Z, Liu M, Goh JY, Wang W, Bustos MA, Ehmsen S, Ramasamy A, Hoon DSB, Ditzel HJ, Tan EY, Chen Q, Yu Q. Hypoxia induces HIF1α-dependent epigenetic vulnerability in triple negative breast cancer to confer immune effector dysfunction and resistance to anti-PD-1 immunotherapy. Nat Commun 2022; 13:4118. [PMID: 35840558 PMCID: PMC9287350 DOI: 10.1038/s41467-022-31764-9] [Citation(s) in RCA: 37] [Impact Index Per Article: 18.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/21/2021] [Accepted: 07/01/2022] [Indexed: 12/12/2022] Open
Abstract
The hypoxic tumor microenvironment has been implicated in immune escape, but the underlying mechanism remains elusive. Using an in vitro culture system modeling human T cell dysfunction and exhaustion in triple-negative breast cancer (TNBC), we find that hypoxia suppresses immune effector gene expression, including in T and NK cells, resulting in immune effector cell dysfunction and resistance to immunotherapy. We demonstrate that hypoxia-induced factor 1α (HIF1α) interaction with HDAC1 and concurrent PRC2 dependency causes chromatin remolding resulting in epigenetic suppression of effector genes and subsequent immune dysfunction. Targeting HIF1α and the associated epigenetic machinery can reverse the immune effector dysfunction and overcome resistance to PD-1 blockade, as demonstrated both in vitro and in vivo using syngeneic and humanized mice models. These findings identify a HIF1α-mediated epigenetic mechanism in immune dysfunction and provide a potential strategy to overcome immune resistance in TNBC. Hypoxia can promote tumor escape from immune surveillance and immunotherapy. Here, the authors show that hypoxia induces T and NK cell dysfunction through HIF1α-mediated epigenetic suppression of effector gene expression, conferring resistance to anti-PD1 blockade in triple negative breast cancer models.
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Affiliation(s)
- Shijun Ma
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore
| | - Yue Zhao
- Institute of Molecular and Cellular Biology, Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore
| | - Wee Chyan Lee
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore
| | - Li-Teng Ong
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore
| | - Puay Leng Lee
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore
| | - Zemin Jiang
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore
| | - Gokce Oguz
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore
| | - Zhitong Niu
- The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510655, China
| | - Min Liu
- Institute of Molecular and Cellular Biology, Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore
| | - Jian Yuan Goh
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore
| | - Wenyu Wang
- The Sixth Affiliated Hospital of Sun Yat-sen University, Guangzhou, 510655, China
| | - Matias A Bustos
- Department of Translational Molecular Medicine, Saint John's Cancer Institute, Providence Health System, Santa Monica, CA, 90404, USA
| | - Sidse Ehmsen
- Department of Oncology, Odense University Hospital, Odense, 5230, Denmark
| | - Adaikalavan Ramasamy
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore
| | - Dave S B Hoon
- Department of Translational Molecular Medicine, Saint John's Cancer Institute, Providence Health System, Santa Monica, CA, 90404, USA
| | - Henrik J Ditzel
- Department of Oncology, Odense University Hospital, Odense, 5230, Denmark.,Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, Odense, 5230, Denmark
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Singapore
| | - Qingfeng Chen
- Institute of Molecular and Cellular Biology, Agency for Science, Technology and Research (A*STAR), Singapore, 138673, Singapore.
| | - Qiang Yu
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, 138672, Singapore. .,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore. .,Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, 169857, Singapore.
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14
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Hartman M, Lim ZL, Ho PJ, Khng AJ, Yeoh YS, Ong ATW, Tan BKT, Tan EY, Tan SM, Lim GH, Tan KMV, Li J. Mammography screening is associated with more favorable breast cancer tumor characteristics and better overall survival: Case-only analysis of 3,739 Asian breast cancer patients. J Clin Oncol 2022. [DOI: 10.1200/jco.2022.40.16_suppl.e22500] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/20/2022] Open
Abstract
e22500 Background: Early detection of breast cancer (BC) through mammography screening (MAM) is known to reduce mortality. We examined the differential effect that mammography has on BC characteristics and overall survival and the sociodemographic determinants of MAM utilisation in a multi-ethnic Asian population. Methods: This study included 3,739 BC patients from the Singapore Breast Cancer Cohort (2010–2018). Self-reported socio-demographic characteristics were collected using a structured questionnaire. Clinical data were obtained through medical records. Patients were classified as screeners (last screening mammogram ≤two years before diagnosis), non-screeners (aware but did not attend or last screen > 2years) and those unaware of MAM. Associations between MAM behaviour (MB) and sociodemographic factors and MB and tumour characteristics were examined using multinomial regression. Ten-year overall survival was modelled using Cox regression. Results: Patients unaware of screening were more likely diagnosed with late stage (ORstage III vs stage I(Ref) [95%CI]:4.94[3.45-7.07], p < 0.001), high grade (ORpoorly- vs well-differentiated(reference): 1.53 [1.06-2.20], p = 0.022), nodal-positive, large size (OR> 5cm vs ≤2cm(reference): 5.06 [3.10-8.25], p < 0.001), and HER2-positive tumors (ORHER2-negative VS -positive(reference): 0.72[0.53-0.97], p = 0.028). Similar trends were observed between screeners and non-screeners with smaller effect sizes. Overall survival was significantly shorter than screeners in the both groups(non-screeners HR: 1.89 [1.22-2.94], p = 0.005; unaware HR: 2.90[1.69-4.98], p < 0.001). Non-screeners and those unaware were less health-conscious, older, of Malay ethnicity, less highly educated, of lower socioeconomic status, more frequently ever smokers and less physically active. Among screeners, there were more reported personal histories of benign breast surgeries or gynaecological conditions and positive family history of breast cancer. Conclusions: Mammography attendance is associated with more favourable BC characteristics and overall survival. Disparities in the utility of MAM services suggest that different strategies may be needed to improve MAM uptake.
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Affiliation(s)
| | - Zi Lin Lim
- Genome Institute of Singapore, Singapore, Singapore
| | - Peh Joo Ho
- National University Singapore, Singapore, Singapore
| | | | | | | | - Benita Kiat Tee Tan
- Department of General Surgery, Singapore General Hospital, Singapore, Singapore
| | - Ern Yu Tan
- Tan Tock Seng Hospital-(Singapore), Singapore, Singapore
| | - Su-Ming Tan
- Changi General Hospital, Singapore, Singapore, Singapore
| | - Geok Hoon Lim
- KK Women's and Children's Hospital, Singapore, Singapore
| | | | - Jingmei Li
- Genome Institute of Singapore, Singapore, Singapore
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15
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Ong SS, Ho PJ, Khng AJ, Lim EH, Wong FY, Tan BKT, Lim SH, Tan EY, Tan SM, Tan VKM, Dent R, Tan TJY, Ngeow J, Madhukumar P, Hamzah JLB, Sim Y, Lim GH, Pang JS, Alcantara VS, Chan PMY, Chen JJC, Kuah S, Seah JCM, Buhari SA, Tang SW, Ng CWQ, Li J, Hartman M. Association between Breast Cancer Polygenic Risk Score and Chemotherapy-Induced Febrile Neutropenia: Null Results. Cancers (Basel) 2022; 14:cancers14112714. [PMID: 35681694 PMCID: PMC9179461 DOI: 10.3390/cancers14112714] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/13/2022] [Revised: 05/17/2022] [Accepted: 05/26/2022] [Indexed: 12/04/2022] Open
Abstract
BACKGROUND The hypothesis that breast cancer (BC) susceptibility variants are linked to chemotherapy-induced toxicity has been previously explored. Here, we investigated the association between a validated 313-marker-based BC polygenic risk score (PRS) and chemotherapy-induced neutropenia without fever and febrile neutropenia (FNc) in Asian BC patients. METHODS This observational case-control study of Asian BC patients treated with chemotherapy included 161 FNc patients, 219 neutropenia patients, and 936 patients who did not develop neutropenia. A continuous PRS was calculated by summing weighted risk alleles associated with overall, estrogen receptor- (ER-) positive, and ER-negative BC risk. PRS distributions neutropenia or FNc cases were compared to controls who did not develop neutropenia using two-sample t-tests. Odds ratios (OR) and corresponding 95% confidence intervals were estimated for the associations between PRS (quartiles and per standard deviation (SD) increase) and neutropenia-related outcomes compared to controls. RESULTS PRS distributions were not significantly different in any of the comparisons. Higher PRSoverall quartiles were negatively correlated with neutropenia or FNc. However, the associations were not statistically significant (PRS per SD increase OR neutropenia: 0.91 [0.79-1.06]; FNc: 0.87 [0.73-1.03]). No dose-dependent trend was observed for the ER-positive weighted PRS (PRSER-pos) and ER-negative weighted PRS (PRSER-neg). CONCLUSION BC PRS was not strongly associated with chemotherapy-induced neutropenia or FNc.
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Affiliation(s)
- Seeu Si Ong
- Women’s Health and Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore 138672, Singapore; (S.S.O.); (P.J.H.); (A.J.K.)
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore;
| | - Peh Joo Ho
- Women’s Health and Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore 138672, Singapore; (S.S.O.); (P.J.H.); (A.J.K.)
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore;
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
| | - Alexis Jiaying Khng
- Women’s Health and Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore 138672, Singapore; (S.S.O.); (P.J.H.); (A.J.K.)
| | - Elaine Hsuen Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (E.H.L.); (R.D.); (T.J.Y.T.); (J.N.)
| | - Fuh Yong Wong
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore;
| | - Benita Kiat-Tee Tan
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (B.K.-T.T.); (V.K.M.T.); (P.M.); (J.L.B.H.); (Y.S.)
- Department of Breast Surgery, Singapore General Hospital, Singapore 169608, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore 544886, Singapore
| | - Swee Ho Lim
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore 229899, Singapore; (S.H.L.); (G.H.L.); (J.S.P.); (V.S.A.)
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore; (E.Y.T.); (P.M.Y.C.); (J.J.C.C.); (S.K.)
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
- Institute of Molecular and Cell Biology, Singapore 138673, Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore 529889, Singapore; (S.-M.T.); (J.C.M.S.)
| | - Veronique Kiak Mien Tan
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (B.K.-T.T.); (V.K.M.T.); (P.M.); (J.L.B.H.); (Y.S.)
- Department of Breast Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Rebecca Dent
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (E.H.L.); (R.D.); (T.J.Y.T.); (J.N.)
| | - Tira Jing Ying Tan
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (E.H.L.); (R.D.); (T.J.Y.T.); (J.N.)
| | - Joanne Ngeow
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (E.H.L.); (R.D.); (T.J.Y.T.); (J.N.)
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore 308232, Singapore
- Institute of Molecular and Cell Biology, Singapore 138673, Singapore
| | - Preetha Madhukumar
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (B.K.-T.T.); (V.K.M.T.); (P.M.); (J.L.B.H.); (Y.S.)
- Department of Breast Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Julie Liana Bte Hamzah
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (B.K.-T.T.); (V.K.M.T.); (P.M.); (J.L.B.H.); (Y.S.)
- Department of Breast Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Yirong Sim
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore 169610, Singapore; (B.K.-T.T.); (V.K.M.T.); (P.M.); (J.L.B.H.); (Y.S.)
- Department of Breast Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Geok Hoon Lim
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore 229899, Singapore; (S.H.L.); (G.H.L.); (J.S.P.); (V.S.A.)
| | - Jinnie Siyan Pang
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore 229899, Singapore; (S.H.L.); (G.H.L.); (J.S.P.); (V.S.A.)
| | - Veronica Siton Alcantara
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore 229899, Singapore; (S.H.L.); (G.H.L.); (J.S.P.); (V.S.A.)
| | - Patrick Mun Yew Chan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore; (E.Y.T.); (P.M.Y.C.); (J.J.C.C.); (S.K.)
| | - Juliana Jia Chuan Chen
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore; (E.Y.T.); (P.M.Y.C.); (J.J.C.C.); (S.K.)
| | - Sherwin Kuah
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore; (E.Y.T.); (P.M.Y.C.); (J.J.C.C.); (S.K.)
| | - Jaime Chin Mui Seah
- Division of Breast Surgery, Changi General Hospital, Singapore 529889, Singapore; (S.-M.T.); (J.C.M.S.)
| | - Shaik Ahmad Buhari
- Department of Surgery, University Surgical Cluster, National University Health System, Singapore 119228, Singapore; (S.A.B.); (S.W.T.); (C.W.Q.N.)
| | - Siau Wei Tang
- Department of Surgery, University Surgical Cluster, National University Health System, Singapore 119228, Singapore; (S.A.B.); (S.W.T.); (C.W.Q.N.)
| | - Celene Wei Qi Ng
- Department of Surgery, University Surgical Cluster, National University Health System, Singapore 119228, Singapore; (S.A.B.); (S.W.T.); (C.W.Q.N.)
| | - Jingmei Li
- Women’s Health and Genetics, Genome Institute of Singapore, 60 Biopolis Street, Genome, #02-01, Singapore 138672, Singapore; (S.S.O.); (P.J.H.); (A.J.K.)
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore;
- Correspondence: ; Tel.: +65-6808-8312
| | - Mikael Hartman
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 119228, Singapore;
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore 117549, Singapore
- Department of Surgery, University Surgical Cluster, National University Health System, Singapore 119228, Singapore; (S.A.B.); (S.W.T.); (C.W.Q.N.)
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16
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Ang BH, Ho WK, Wijaya E, Kwan PY, Ng PS, Yoon SY, Hasan SN, Lim JMC, Hassan T, Tai MC, Allen J, Lee A, Taib NAM, Yip CH, Hartman M, Lim SH, Tan EY, Tan BKT, Tan SM, Tan VKM, Ho PJ, Khng AJ, Dunning AM, Li J, Easton DF, Antoniou AC, Teo SH. Predicting the Likelihood of Carrying a BRCA1 or BRCA2 Mutation in Asian Patients With Breast Cancer. J Clin Oncol 2022; 40:1542-1551. [PMID: 35143328 PMCID: PMC7614269 DOI: 10.1200/jco.21.01647] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/06/2021] [Revised: 10/15/2021] [Accepted: 12/14/2021] [Indexed: 01/09/2023] Open
Abstract
PURPOSE With the development of poly (ADP-ribose) polymerase inhibitors for treatment of patients with cancer with an altered BRCA1 or BRCA2 gene, there is an urgent need to ensure that there are appropriate strategies for identifying mutation carriers while balancing the increased demand for and cost of cancer genetics services. To date, the majority of mutation prediction tools have been developed in women of European descent where the age and cancer-subtype distributions are different from that in Asian women. METHODS In this study, we built a new model (Asian Risk Calculator) for estimating the likelihood of carrying a pathogenic variant in BRCA1 or BRCA2 gene, using germline BRCA genetic testing results in a cross-sectional population-based study of 8,162 Asian patients with breast cancer. We compared the model performance to existing mutation prediction models. The models were evaluated for discrimination and calibration. RESULTS Asian Risk Calculator included age of diagnosis, ethnicity, bilateral breast cancer, tumor biomarkers, and family history of breast cancer or ovarian cancer as predictors. The inclusion of tumor grade improved significantly the model performance. The full model was calibrated (Hosmer-Lemeshow P value = .614) and discriminated well between BRCA and non-BRCA pathogenic variant carriers (area under receiver operating curve, 0.80; 95% CI, 0.75 to 0.84). Addition of grade to the existing clinical genetic testing criteria targeting patients with breast cancer age younger than 45 years reduced the proportion of patients referred for genetic counseling and testing from 37% to 33% (P value = .003), thereby improving the overall efficacy. CONCLUSION Population-specific customization of mutation prediction models and clinical genetic testing criteria improved the accuracy of BRCA mutation prediction in Asian patients.
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Affiliation(s)
| | - Weang Kee Ho
- Cancer Research Malaysia, Subang Jaya, Malaysia
- Faculty of Science and Engineering, School of Mathematical Sciences, University of Nottingham Malaysia, Jalan Broga, Semenyih, Selangor, Malaysia
| | | | | | - Pei Sze Ng
- Cancer Research Malaysia, Subang Jaya, Malaysia
| | | | | | | | | | | | - Jamie Allen
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Andrew Lee
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Nur Aishah Mohd Taib
- Faculty of Medicine, University Malaya Cancer Research Institute, University of Malaya, Jalan Universiti, Kuala Lumpur, Malaysia
- Department of Surgery, Faculty of Medicine, University of Malaya, Jalan Universiti, Kuala Lumpur, Malaysia
| | | | - Mikael Hartman
- Department of Surgery, National University Hospital and NUHS, Singapore, Singapore
| | - Swee Ho Lim
- Breast Department, KK Women’s and Children’s Hospital, Singapore, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, Singapore
- Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Benita K. T. Tan
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore, Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Department of General Surgery, Changi General Hospital, Singapore, Singapore
| | - Veronique K. M. Tan
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
| | - Peh Joo Ho
- Laboratory of Women’s Health and Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Alexis J. Khng
- Laboratory of Women’s Health and Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Alison M. Dunning
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Jingmei Li
- Laboratory of Women’s Health and Genetics, Genome Institute of Singapore, Singapore, Singapore
| | - Douglas F. Easton
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
- Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Antonis C. Antoniou
- Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, United Kingdom
| | - Soo Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Malaysia
- Faculty of Medicine, University Malaya Cancer Research Institute, University of Malaya, Jalan Universiti, Kuala Lumpur, Malaysia
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17
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Lim JT, Koh JJE, Ho PJ, Liu J, Lim SH, Tan EY, Tan BKT, Tan VKM, Tan SM, Yong WS, Hartman M, Chen C. Impact of Subsidy on the Use of Personalized Medicine in Breast Cancer. Value Health Reg Issues 2022; 29:108-115. [DOI: 10.1016/j.vhri.2021.10.002] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/11/2021] [Revised: 09/21/2021] [Accepted: 10/09/2021] [Indexed: 11/16/2022]
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18
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Ng PS, Boonen RA, Wijaya E, Chong CE, Sharma M, Knaup S, Mariapun S, Ho WK, Lim J, Yoon SY, Mohd Taib NA, See MH, Li J, Lim SH, Tan EY, Tan BKT, Tan SM, Tan VKM, van Dam RM, Rahmat K, Yip CH, Carvalho S, Luccarini C, Baynes C, Dunning AM, Antoniou A, van Attikum H, Easton DF, Hartman M, Teo SH. Characterisation of protein-truncating and missense variants in PALB2 in 15 768 women from Malaysia and Singapore. J Med Genet 2022; 59:481-491. [PMID: 33811135 PMCID: PMC9046754 DOI: 10.1136/jmedgenet-2020-107471] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/24/2020] [Revised: 02/17/2021] [Accepted: 02/23/2021] [Indexed: 12/13/2022]
Abstract
BACKGROUND Rare protein-truncating variants (PTVs) in partner and localiser of BRCA2 (PALB2) confer increased risk to breast cancer, but relatively few studies have reported the prevalence in South-East Asian populations. Here, we describe the prevalence of rare variants in PALB2 in a population-based study of 7840 breast cancer cases and 7928 healthy Chinese, Malay and Indian women from Malaysia and Singapore, and describe the functional impact of germline missense variants identified in this population. METHODS Mutation testing was performed on germline DNA (n=15 768) using targeted sequencing panels. The functional impact of missense variants was tested in mouse embryonic stem cell based functional assays. RESULTS PTVs in PALB2 were found in 0.73% of breast cancer patients and 0.14% of healthy individuals (OR=5.44; 95% CI 2.85 to 10.39, p<0.0001). In contrast, rare missense variants in PALB2 were not associated with increased risk of breast cancer. Whereas PTVs were associated with later stage of presentation and higher-grade tumours, no significant association was observed with missense variants in PALB2. However, two novel rare missense variants (p.L1027R and p.G1043V) produced unstable proteins and resulted in a decrease in homologous recombination-mediated repair of DNA double-strand breaks. CONCLUSION Despite genetic and lifestyle differences between Asian and other populations, the population prevalence of PALB2 PTVs and associated relative risk of breast cancer, are similar to those reported in European populations.
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Affiliation(s)
- Pei Sze Ng
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- University Malaya Cancer Research Institute, University of Malaya Medical Centre, Kuala Lumpur, Wilayah Persekutuan, Malaysia
| | - Rick Acm Boonen
- Department of Human Genetics, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands
| | | | - Chan Eng Chong
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
| | - Milan Sharma
- Department of Human Genetics, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands
| | - Sabine Knaup
- Department of Human Genetics, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands
| | | | - Weang Kee Ho
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- University of Nottingham - Malaysia Campus, Semenyih, Selangor, Malaysia
| | - Joanna Lim
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
| | - Sook-Yee Yoon
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
| | - Nur Aishah Mohd Taib
- University Malaya Cancer Research Institute, University of Malaya Medical Centre, Kuala Lumpur, Wilayah Persekutuan, Malaysia
- Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia
| | - Mee Hoong See
- University Malaya Cancer Research Institute, University of Malaya Medical Centre, Kuala Lumpur, Wilayah Persekutuan, Malaysia
- Department of Surgery, Faculty of Medicine, Universiti Malaya, Kuala Lumpur, Wilayah Persekutuan, Malaysia
| | - Jingmei Li
- Human Genetics, Genome Institute of Singapore, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Swee Ho Lim
- Breast Department, KK Women's and Children's Hospital, Singapore
- Duke-NUS Breast Centre, Singhealth, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore
| | - Benita Kiat-Tee Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital Department of General Surgery, Singapore
| | - Veronique Kiat-Mien Tan
- Singhealth Duke-NUS Breast Centre, Singhealth, Singapore
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore
| | - Rob Martinus van Dam
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Department of Nutrition, Harvard University T H Chan School of Public Health, Boston, Massachusetts, USA
| | - Kartini Rahmat
- Department of Biomedical Imaging, Faculty of Medicine, University of Malaya Medical Centre, Kuala Lumpur, Wilayah Persekutuan, Malaysia
| | | | - Sara Carvalho
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and Department of Oncology, University of Cambridge, Cambridge, UK
| | - Craig Luccarini
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and Department of Oncology, University of Cambridge, Cambridge, UK
| | - Caroline Baynes
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and Department of Oncology, University of Cambridge, Cambridge, UK
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and Department of Oncology, University of Cambridge, Cambridge, UK
| | - Antonis Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and Department of Oncology, University of Cambridge, Cambridge, UK
| | - Haico van Attikum
- Department of Human Genetics, Leiden University Medical Center, Leiden, Zuid-Holland, The Netherlands
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care and Department of Oncology, University of Cambridge, Cambridge, UK
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore, Singapore
- Department of Surgery, National University Hospital, Singapore
| | - Soo Hwang Teo
- Cancer Research Malaysia, Subang Jaya, Selangor, Malaysia
- University Malaya Cancer Research Institute, University of Malaya Medical Centre, Kuala Lumpur, Wilayah Persekutuan, Malaysia
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19
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Ho PJ, Ho WK, Khng AJ, Yeoh YS, Tan BKT, Tan EY, Lim GH, Tan SM, Tan VKM, Yip CH, Mohd-Taib NA, Wong FY, Lim EH, Ngeow J, Chay WY, Leong LCH, Yong WS, Seah CM, Tang SW, Ng CWQ, Yan Z, Lee JA, Rahmat K, Islam T, Hassan T, Tai MC, Khor CC, Yuan JM, Koh WP, Sim X, Dunning AM, Bolla MK, Antoniou AC, Teo SH, Li J, Hartman M. Overlap of high-risk individuals predicted by family history, and genetic and non-genetic breast cancer risk prediction models: implications for risk stratification. BMC Med 2022; 20:150. [PMID: 35468796 PMCID: PMC9040206 DOI: 10.1186/s12916-022-02334-z] [Citation(s) in RCA: 4] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 12/15/2021] [Accepted: 03/14/2022] [Indexed: 02/02/2023] Open
Abstract
BACKGROUND Family history, and genetic and non-genetic risk factors can stratify women according to their individual risk of developing breast cancer. The extent of overlap between these risk predictors is not clear. METHODS In this case-only analysis involving 7600 Asian breast cancer patients diagnosed between age 30 and 75 years, we examined identification of high-risk patients based on positive family history, the Gail model 5-year absolute risk [5yAR] above 1.3%, breast cancer predisposition genes (protein-truncating variants [PTV] in ATM, BRCA1, BRCA2, CHEK2, PALB2, BARD1, RAD51C, RAD51D, or TP53), and polygenic risk score (PRS) 5yAR above 1.3%. RESULTS Correlation between 5yAR (at age of diagnosis) predicted by PRS and the Gail model was low (r=0.27). Fifty-three percent of breast cancer patients (n=4041) were considered high risk by one or more classification criteria. Positive family history, PTV carriership, PRS, or the Gail model identified 1247 (16%), 385 (5%), 2774 (36%), and 1592 (21%) patients who were considered at high risk, respectively. In a subset of 3227 women aged below 50 years, the four models studied identified 470 (15%), 213 (7%), 769 (24%), and 325 (10%) unique patients who were considered at high risk, respectively. For younger women, PRS and PTVs together identified 745 (59% of 1276) high-risk individuals who were not identified by the Gail model or family history. CONCLUSIONS Family history and genetic and non-genetic risk stratification tools have the potential to complement one another to identify women at high risk.
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Affiliation(s)
- Peh Joo Ho
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Weang Kee Ho
- Cancer Research Malaysia, 1 Jalan SS12/1A, 47500 Subang Jaya, Selangor Malaysia
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor Malaysia
| | - Alexis J. Khng
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
| | - Yen Shing Yeoh
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Benita Kiat-Tee Tan
- Department of General Surgery, Sengkang General Hospital, Singapore, Singapore
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433 Singapore
- Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore, Singapore
- Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Geok Hoon Lim
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore, 229899 Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Veronique Kiak Mien Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgery and Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Cheng-Har Yip
- Subang Jaya Medical Centre, Subang Jaya, Selangor Malaysia
| | - Nur-Aishah Mohd-Taib
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Universiti Malaya Cancer Research Institute, Kuala Lumpur, Malaysia
| | - Fuh Yong Wong
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Elaine Hsuen Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Joanne Ngeow
- Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore, Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Cancer Genetics Service, National Cancer Centre Singapore, Singapore, Singapore
| | - Wen Yee Chay
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Lester Chee Hao Leong
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore, Singapore
| | - Wei Sean Yong
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Chin Mui Seah
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Siau Wei Tang
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Celene Wei Qi Ng
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Zhiyan Yan
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore, 229899 Singapore
| | - Jung Ah Lee
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore, 229899 Singapore
| | - Kartini Rahmat
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Tania Islam
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- Universiti Malaya Cancer Research Institute, Kuala Lumpur, Malaysia
| | - Tiara Hassan
- Cancer Research Malaysia, 1 Jalan SS12/1A, 47500 Subang Jaya, Selangor Malaysia
| | - Mei-Chee Tai
- Cancer Research Malaysia, 1 Jalan SS12/1A, 47500 Subang Jaya, Selangor Malaysia
| | - Chiea Chuen Khor
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
| | - Jian-Min Yuan
- UPMC Hillman Cancer Center, Pittsburgh, PA USA
- Department of Epidemiology, University of Pittsburgh Graduate School of Public Health, Pittsburgh, PA USA
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
- Singapore Institute for Clinical Sciences, Agency for Science Technology and Research (A*STAR), Singapore, 117609 Singapore
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, UK
| | - Manjeet K. Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, 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
| | - Soo-Hwang Teo
- Cancer Research Malaysia, 1 Jalan SS12/1A, 47500 Subang Jaya, Selangor Malaysia
- Department of Surgery, Faculty of Medicine, University of Malaya, Jalan Universiti, 50630 Kuala Lumpur, Malaysia
| | - Jingmei Li
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
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20
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Ho WK, Tai MC, Dennis J, Shu X, Li J, Ho PJ, Millwood IY, Lin K, Jee YH, Lee SH, Mavaddat N, Bolla MK, Wang Q, Michailidou K, Long J, Wijaya EA, Hassan T, Rahmat K, Tan VKM, Tan BKT, Tan SM, Tan EY, Lim SH, Gao YT, Zheng Y, Kang D, Choi JY, Han W, Lee HB, Kubo M, Okada Y, Namba S, Park SK, Kim SW, Shen CY, Wu PE, Park B, Muir KR, Lophatananon A, Wu AH, Tseng CC, Matsuo K, Ito H, Kwong A, Chan TL, John EM, Kurian AW, Iwasaki M, Yamaji T, Kweon SS, Aronson KJ, Murphy RA, Koh WP, Khor CC, Yuan JM, Dorajoo R, Walters RG, Chen Z, Li L, Lv J, Jung KJ, Kraft P, Pharoah PDB, Dunning AM, Simard J, Shu XO, Yip CH, Taib NAM, Antoniou AC, Zheng W, Hartman M, Easton DF, Teo SH. Polygenic risk scores for prediction of breast cancer risk in Asian populations. Genet Med 2022; 24:586-600. [PMID: 34906514 PMCID: PMC7612481 DOI: 10.1016/j.gim.2021.11.008] [Citation(s) in RCA: 16] [Impact Index Per Article: 8.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/03/2021] [Revised: 08/03/2021] [Accepted: 11/09/2021] [Indexed: 02/08/2023] Open
Abstract
PURPOSE Non-European populations are under-represented in genetics studies, hindering clinical implementation of breast cancer polygenic risk scores (PRSs). We aimed to develop PRSs using the largest available studies of Asian ancestry and to assess the transferability of PRS across ethnic subgroups. METHODS The development data set comprised 138,309 women from 17 case-control studies. PRSs were generated using a clumping and thresholding method, lasso penalized regression, an Empirical Bayes approach, a Bayesian polygenic prediction approach, or linear combinations of multiple PRSs. These PRSs were evaluated in 89,898 women from 3 prospective studies (1592 incident cases). RESULTS The best performing PRS (genome-wide set of single-nucleotide variations [formerly single-nucleotide polymorphism]) had a hazard ratio per unit SD of 1.62 (95% CI = 1.46-1.80) and an area under the receiver operating curve of 0.635 (95% CI = 0.622-0.649). Combined Asian and European PRSs (333 single-nucleotide variations) had a hazard ratio per SD of 1.53 (95% CI = 1.37-1.71) and an area under the receiver operating curve of 0.621 (95% CI = 0.608-0.635). The distribution of the latter PRS was different across ethnic subgroups, confirming the importance of population-specific calibration for valid estimation of breast cancer risk. CONCLUSION PRSs developed in this study, from association data from multiple ancestries, can enhance risk stratification for women of Asian ancestry.
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Affiliation(s)
- Weang-Kee Ho
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Selangor, Malaysia; Cancer Research Malaysia, Selangor, Malaysia.
| | | | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Xiang Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN; Department of Epidemiology & Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY
| | - Jingmei Li
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore; Genome Institute of Singapore, Laboratory of Women's Health and Genetics, Singapore, Singapore
| | - Peh Joo Ho
- Genome Institute of Singapore, Laboratory of Women's Health and Genetics, Singapore, Singapore
| | - Iona Y Millwood
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Kuang Lin
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom
| | - Yon-Ho Jee
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Su-Hyun Lee
- Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Nasim Mavaddat
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, Ayios Dometios, Cyprus; Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics, Ayios Dometios, Cyprus
| | - Jirong Long
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | | | | | - Kartini Rahmat
- Biomedical Imaging Department, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Veronique Kiak Mien Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore; Division of Surgery and Surgical Oncology, National Cancer Center Singapore, Singapore, Singapore
| | - Benita Kiat Tee Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore; Division of Surgery and Surgical Oncology, National Cancer Center Singapore, Singapore, Singapore; Department of General Surgery, Sengkang General Hospital, Singapore, Singapore
| | - Su Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, Singapore
| | - Swee Ho Lim
- KK Breast Department, KK Women's and Children's Hospital, Singapore, Singapore
| | - Yu-Tang Gao
- State Key Laboratory of Oncogene and Related Genes & Department of Epidemiology, Shanghai Cancer Institute, Renji Hospital, Shanghai Jiaotong University School of Medicine, Shanghai, China
| | - Ying Zheng
- Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University, Seoul, Korea
| | - Ji-Yeob Choi
- Cancer Research Institute, Seoul National University, Seoul, Korea; Department of Biomedical Sciences, Seoul National University Graduate School, Seoul, Korea; Institute of Health Policy and Management, Medical Research Center, Seoul National University, Seoul, Korea
| | - Wonshik Han
- Cancer Research Institute, Seoul National University, Seoul, Korea; Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Han-Byoel Lee
- Cancer Research Institute, Seoul National University, Seoul, Korea; Department of Surgery, Seoul National University College of Medicine, Seoul, South Korea
| | - Michiki Kubo
- RIKEN Center for Integrative Medical Sciences (IMS), Yokohama, Japan
| | - Yukinori Okada
- Department of Statistical Genetics, Graduate School of Medicine, Faculty of Medicine, Osaka University, Suita, Japan; Integrated Frontier Research for Medical Science Division, Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Japan; Laboratory of Statistical Immunology, Immunology Frontier Research Center (WPI-IFReC), Osaka University, Suita, Japan
| | - Shinichi Namba
- Department of Statistical Genetics, Graduate School of Medicine, Faculty of Medicine, Osaka University, Suita, Japan
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Korea; Cancer Research Institute, Seoul National University, Seoul, Korea; Integrated Major in Innovative Medical Science, Seoul National University College of Medicine, Seoul, Korea
| | - Sung-Won Kim
- Department of Surgery, Daerim Saint Mary's Hospital, Seoul, Korea
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Pei-Ei Wu
- Institute of Biomedical Sciences, Academia Sinica, Taipei, Taiwan
| | - Boyoung Park
- Department of Medicine, Hanyang University College of Medicine, Seoul, Korea
| | - Kenneth R Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Manchester, United Kingdom
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Chiu-Chen Tseng
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Information and Control, Aichi Cancer Center Research Institute, Nagoya, Japan; Division of Descriptive Cancer Epidemiology, Nagoya University Graduate School of Medicine, Nagoya University, Nagoya, Japan
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Cancer Genetics Centre, Happy Valley, Hong Kong; Department of Surgery, The University of Hong Kong, Pok Fu Lam, Hong Kong; Department of Surgery, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong
| | - Tsun L Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Cancer Genetics Centre, Happy Valley, Hong Kong; Department of Pathology, Hong Kong Sanatorium & Hospital, Happy Valley, Hong Kong
| | - Esther M John
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA; Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA
| | - Allison W Kurian
- Division of Oncology, Department of Medicine, Stanford Cancer Institute, Stanford University School of Medicine, Stanford, CA; Department of Epidemiology & Population Health, Stanford University School of Medicine, Stanford, CA
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, Tokyo, Japan
| | - Sun-Seog Kweon
- Department of Preventive Medicine, Chonnam National University Medical School, Hwasun, Korea; Jeonnam Regional Cancer Center, Chonnam National University Hwasun Hospital, Hwasun, Korea
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, School of Medicine, Queen's University, Kingston, Ontario, Canada
| | - Rachel A Murphy
- Cancer Control Research, BC Cancer, Vancouver, British Columbia, Canada; School of Population and Public Health, Faculty of Medicine, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Woon-Puay Koh
- Healthy Longevity Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore; Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Chiea-Chuen Khor
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore
| | - Jian-Min Yuan
- Division of Cancer Control and Population Sciences, UPMC Hillman Cancer Center, University of Pittsburgh, Pittsburgh, PA; Department of Epidemiology, Graduate School of Public Health, University of Pittsburgh, Pittsburgh, PA
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Agency for Science, Technology and Research (A*STAR), Singapore, Singapore; Health Services and Systems Research, Duke-NUS Medical School, Singapore, Singapore
| | - Robin G Walters
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Zhengming Chen
- Nuffield Department of Population Health, University of Oxford, Oxford, United Kingdom; MRC Population Health Research Unit, University of Oxford, Oxford, United Kingdom
| | - Liming Li
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Jun Lv
- Department of Epidemiology and Biostatistics, School of Public Health, Peking University Health Science Center, Beijing, China
| | - Keum-Ji Jung
- Institute for Health Promotion, Graduate School of Public Health, Yonsei University, Seoul, Korea
| | - Peter Kraft
- Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA; Department of Biostatistics, Harvard T.H. Chan School of Public Health, Boston, MA
| | - Paul D B Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Jacques Simard
- Genomics Center, CHU de Québec-Université Laval Research Center, Quebec City, Quebec, Canada
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | | | - Nur Aishah Mohd Taib
- Department of Surgery, Faculty of Medicine, University of Malaya Centre, UM Cancer Research Institute, Kuala Lumpur, Malaysia
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University, Nashville, TN
| | - Mikael Hartman
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore; Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore; Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, Cambridge, United Kingdom; Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, Cambridge, United Kingdom
| | - Soo-Hwang Teo
- Cancer Research Malaysia, Selangor, Malaysia; Department of Surgery, Faculty of Medicine, University of Malaya Centre, UM Cancer Research Institute, Kuala Lumpur, Malaysia.
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21
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Ho PJ, Khng AJ, Loh HW, Ho WK, Yip CH, Mohd-Taib NA, Tan VKM, Tan BKT, Tan SM, Tan EY, Lim SH, Jamaris S, Sim Y, Wong FY, Ngeow J, Lim EH, Tai MC, Wijaya EA, Lee SC, Chan CW, Buhari SA, Chan PMY, Chen JJC, Seah JCM, Lee WP, Mok CW, Lim GH, Woo E, Kim SW, Lee JW, Lee MH, Park SK, Dunning AM, Easton DF, Schmidt MK, Teo SH, Li J, Hartman M. Germline breast cancer susceptibility genes, tumor characteristics, and survival. Genome Med 2021; 13:185. [PMID: 34857041 PMCID: PMC8638193 DOI: 10.1186/s13073-021-00978-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/25/2021] [Accepted: 09/24/2021] [Indexed: 12/12/2022] Open
Abstract
BACKGROUND Mutations in certain genes are known to increase breast cancer risk. We study the relevance of rare protein-truncating variants (PTVs) that may result in loss-of-function in breast cancer susceptibility genes on tumor characteristics and survival in 8852 breast cancer patients of Asian descent. METHODS Gene panel sequencing was performed for 34 known or suspected breast cancer predisposition genes, of which nine genes (ATM, BRCA1, BRCA2, CHEK2, PALB2, BARD1, RAD51C, RAD51D, and TP53) were associated with breast cancer risk. Associations between PTV carriership in one or more genes and tumor characteristics were examined using multinomial logistic regression. Ten-year overall survival was estimated using Cox regression models in 6477 breast cancer patients after excluding older patients (≥75years) and stage 0 and IV disease. RESULTS PTV9genes carriership (n = 690) was significantly associated (p < 0.001) with more aggressive tumor characteristics including high grade (poorly vs well-differentiated, odds ratio [95% confidence interval] 3.48 [2.35-5.17], moderately vs well-differentiated 2.33 [1.56-3.49]), as well as luminal B [HER-] and triple-negative subtypes (vs luminal A 2.15 [1.58-2.92] and 2.85 [2.17-3.73], respectively), adjusted for age at diagnosis, study, and ethnicity. Associations with grade and luminal B [HER2-] subtype remained significant after excluding BRCA1/2 carriers. PTV25genes carriership (n = 289, excluding carriers of the nine genes associated with breast cancer) was not associated with tumor characteristics. However, PTV25genes carriership, but not PTV9genes carriership, was suggested to be associated with worse 10-year overall survival (hazard ratio [CI] 1.63 [1.16-2.28]). CONCLUSIONS PTV9genes carriership is associated with more aggressive tumors. Variants in other genes might be associated with the survival of breast cancer patients. The finding that PTV carriership is not just associated with higher breast cancer risk, but also more severe and fatal forms of the disease, suggests that genetic testing has the potential to provide additional health information and help healthy individuals make screening decisions.
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Affiliation(s)
- Peh Joo Ho
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Alexis J. Khng
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
| | - Hui Wen Loh
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
| | - Weang-Kee Ho
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, 43500 Semenyih, Selangor Malaysia
- Cancer Research Malaysia, 1 Jalan SS12/1A, 47500 Subang Jaya, Selangor Malaysia
| | - Cheng Har Yip
- Subang Jaya Medical Centre, Jalan SS 12/1A, 47500 Subang Jaya, Selangor Malaysia
| | - Nur Aishah Mohd-Taib
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- UM Cancer Research Institute, Kuala Lumpur, Malaysia
| | - Veronique Kiak Mien Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Benita Kiat-Tee Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore, Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433 Singapore
- Lee Kong Chian School of Medicine, Singapore, Singapore
- Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Swee Ho Lim
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore, 229899 Singapore
| | - Suniza Jamaris
- Department of Surgery, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
- UM Cancer Research Institute, Kuala Lumpur, Malaysia
| | - Yirong Sim
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Fuh Yong Wong
- Division of Radiation Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Joanne Ngeow
- Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore, Singapore
- Cancer Genetics Service, National Cancer Centre Singapore, Singapore, Singapore
- Oncology Academic Clinical Program, Duke NUS, Singapore, Singapore
| | - Elaine Hsuen Lim
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Mei Chee Tai
- Cancer Research Malaysia, 1 Jalan SS12/1A, 47500 Subang Jaya, Selangor Malaysia
| | | | - Soo Chin Lee
- Department of Hematology-oncology, National University Cancer Institute, National University Health System, Singapore, 119074 Singapore
| | - Ching Wan Chan
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Shaik Ahmad Buhari
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Patrick M. Y. Chan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433 Singapore
| | - Juliana J. C. Chen
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433 Singapore
| | | | - Wai Peng Lee
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Chi Wei Mok
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Geok Hoon Lim
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore, 229899 Singapore
| | - Evan Woo
- KK Breast Department, KK Women’s and Children’s Hospital, Singapore, 229899 Singapore
| | - Sung-Won Kim
- Department of Surgery, Breast Care Center, Daerim St. Mary’s Hospital, Seoul, Korea
| | - Jong Won Lee
- Department of Surgery, University of Ulsan College of Medicine and Asan Medical Center, Seoul, Republic of Korea
| | - Min Hyuk Lee
- Department of Surgery, Soonchunhyang University and Hospital, Seoul, Republic of Korea
| | - Sue K. Park
- Department of Preventive Medicine, Seoul National University College of Medicine, Seoul, Republic of Korea
- Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, Republic of Korea
- Cancer Research Institute, Seoul National University, Seoul, Republic of Korea
| | - Alison M. Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, 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
| | - Marjanka K. Schmidt
- Division of Molecular Pathology, Netherlands Cancer Institute, Antoni van Leeuwenhoek Hospital, Amsterdam, the Netherlands
| | - Soo-Hwang Teo
- Cancer Research Malaysia, 1 Jalan SS12/1A, 47500 Subang Jaya, Selangor Malaysia
- Department of Surgery, Faculty of Medicine, University of Malaya, Jalan Universiti, 50630 Kuala Lumpur, Malaysia
| | - Jingmei Li
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
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22
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Wong CL, Loke SY, Lim HQ, Balasundaram G, Chan P, Chong BK, Tan EY, Lee ASG, Olivo M. Circulating microRNA breast cancer biomarker detection in patient sera with surface plasmon resonance imaging biosensor. J Biophotonics 2021; 14:e202100153. [PMID: 34369655 DOI: 10.1002/jbio.202100153] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 05/12/2021] [Revised: 07/06/2021] [Accepted: 07/22/2021] [Indexed: 06/13/2023]
Abstract
In this article, we report for the first time, the detection of circulating miRNA as a breast cancer biomarker in patient sera using surface plasmon resonance imaging biosensor. The advantage of this approach lies in the rapid, label-free and sensitive detection. The sensor excites plasmonic resonance on the gold sensor surface and specific DNA-miRNA molecular bindings elucidate responses in the plasmonic resonance image. Experiments of detecting synthetic miRNA molecules (miR-1249) were performed and the sensor resolution was found to be 63.5 nM. The sensor was further applied to screen 17 patient serum samples from National Cancer Centre Singapore and Tan Tock Seng Hospital. Sensor intensity response was found to differ by 20% between malignant and benign cases and thus forms, a potential and an important metric in distinguishing benignity and malignancy.
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Affiliation(s)
- Chi Lok Wong
- Translational Biophotonic Laboratory, Institute of Bioengineering and Bioimaging, Agency of Science, Technology and Research (A*STAR), Singapore
| | - Sau Yeen Loke
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore (NCCS), Singapore
| | - Hann Qian Lim
- Translational Biophotonic Laboratory, Institute of Bioengineering and Bioimaging, Agency of Science, Technology and Research (A*STAR), Singapore
| | - Ghayathri Balasundaram
- Translational Biophotonic Laboratory, Institute of Bioengineering and Bioimaging, Agency of Science, Technology and Research (A*STAR), Singapore
| | - Patrick Chan
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore (NCCS), Singapore
| | - Bee Kiang Chong
- Department of General Surgery, Tan Tock Seng Hospital, Singapore
| | - Ern Yu Tan
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore
- Lee Kong Chian School of Medicine, Singapore
- Institute of Molecular and Cell Biology, Agency of Science, Technology and Research (A*STAR), Singapore
| | - Ann Siew Gek Lee
- Division of Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre Singapore (NCCS), Singapore
| | - Malini Olivo
- Translational Biophotonic Laboratory, Institute of Bioengineering and Bioimaging, Agency of Science, Technology and Research (A*STAR), Singapore
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23
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Ian TWM, Tan EY, Chotai N. Role of mammogram and ultrasound imaging in predicting breast cancer subtypes in screening and symptomatic patients. World J Clin Oncol 2021; 12:808-822. [PMID: 34631444 PMCID: PMC8479344 DOI: 10.5306/wjco.v12.i9.808] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/23/2021] [Revised: 06/24/2021] [Accepted: 08/03/2021] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND Breast cancer (BC) radiogenomics, or correlation analysis of imaging features and BC molecular subtypes, can complement genetic analysis with less resource-intensive diagnostic methods to provide an early and accurate triage of BC. This is pertinent because BC is the most prevalent cancer amongst adult women, resulting in rising demands on public health resources.
AIM To find combinations of mammogram and ultrasound imaging features that predict BC molecular subtypes in a sample of screening and symptomatic patients.
METHODS This retrospective study evaluated 328 consecutive patients in 2017-2018 with histologically confirmed BC, of which 237 (72%) presented with symptoms and 91 (28%) were detected via a screening program. All the patients underwent mammography and ultrasound imaging prior to biopsy. The images were retrospectively read by two breast-imaging radiologists with 5-10 years of experience with no knowledge of the histology results to ensure statistical independence. To test the hypothesis that imaging features are correlated with tumor subtypes, univariate binomial and multinomial logistic regression models were performed. Our study also used the multivariate logistic regression (with and without interaction terms) to identify combinations of mammogram and ultrasound (US) imaging characteristics predictive of molecular subtypes.
RESULTS The presence of circumscribed margins, posterior enhancement, and large size is correlated with triple-negative BC (TNBC), while high-risk microcalcifications and microlobulated margins is predictive of HER2-enriched cancers. Ductal carcinoma in situ is characterized by small size on ultrasound, absence of posterior acoustic features, and architectural distortion on mammogram, while luminal subtypes tend to be small, with spiculated margins and posterior acoustic shadowing (Luminal A type). These results are broadly consistent with findings from prior studies. In addition, we also find that US size signals a higher odds ratio for TNBC if presented during screening. As TNBC tends to display sonographic features such as circumscribed margins and posterior enhancement, resulting in visual similarity with benign common lesions, at the screening stage, size may be a useful factor in deciding whether to recommend a biopsy.
CONCLUSION Several imaging features were shown to be independent variables predicting molecular subtypes of BC. Knowledge of such correlations could help clinicians stratify BC patients, possibly enabling earlier treatment or aiding in therapeutic decisions in countries where receptor testing is not readily available.
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Affiliation(s)
- Tay Wei Ming Ian
- Department of Diagnostic Radiology, Singapore General Hospital, Singapore 101070, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - Niketa Chotai
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore 308433, Singapore
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24
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Ho PJ, Dorajoo R, Ivanković I, Ong SS, Khng AJ, Tan BKT, Tan VKM, Lim SH, Tan EY, Tan SM, Tan QT, Yan Z, Ngeow J, Sim Y, Chan P, Chuan JCJ, Chan CW, Tang SW, Hartman M, Li J. DNA methylation and breast cancer-associated variants. Breast Cancer Res Treat 2021; 188:713-727. [PMID: 33768416 DOI: 10.1007/s10549-021-06185-9] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/26/2020] [Accepted: 03/10/2021] [Indexed: 02/07/2023]
Abstract
BACKGROUND A breast cancer polygenic risk score (PRS) comprising 313 common variants reliably predicts disease risk. We examined possible relationships between genetic variation, regulation, and expression to clarify the molecular alterations associated with these variants. METHODS Genome-wide methylomic variation was quantified (MethylationEPIC) in Asian breast cancer patients (1152 buffy coats from peripheral whole blood). DNA methylation (DNAm) quantitative trait loci (mQTL) mapping was performed for 235 of the 313 variants with minor allele frequencies > 5%. Stability of identified mQTLs (p < 5e-8) across lifetime was examined using a public mQTL database. Identified mQTLs were also mapped to expression quantitative trait loci (eQTLs) in the Genotype-Tissue Expression Project and the eQTLGen Consortium. RESULTS Breast cancer PRS was not associated with DNAm. A higher proportion of significant cis-mQTLs were observed. Of 822 significant cis-mQTLs (179 unique variants) identified in our dataset, 141 (59 unique variants) were significant (p < 5e-8) in a public mQTL database. Eighty-six percent (121/141) of the matched mQTLs were consistent at multiple time points (birth, childhood, adolescence, pregnancy, middle age, post-diagnosis, or treatment). Ninety-three variants associated with DNAm were also cis-eQTLs (35 variants not genome-wide significant). Multiple loci in the breast cancer PRS are associated with DNAm, contributing to the polygenic nature of the disease. These mQTLs are mostly stable over time. CONCLUSIONS Consistent results from DNAm and expression data may reveal new candidate genes not previously associated with breast cancer.
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Affiliation(s)
- Peh Joo Ho
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
| | - Rajkumar Dorajoo
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
- Health Systems and Services Research, Duke-NUS Medical School Singapore, Singapore, Singapore
| | - Ivna Ivanković
- Department of Quantitative Biomedicine, University of Zurich, Zurich, Switzerland
- Biomedical Informatics, University Hospital of Zurich, Zurich, Switzerland
| | - Seeu Si Ong
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
| | | | - Benita Kiat-Tee Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Veronique Kiak Mien Tan
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Swee Ho Lim
- KK Breast Department, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Singapore
| | - Su-Ming Tan
- Division of Breast Surgery, Changi General Hospital, Singapore, Singapore
| | - Qing Ting Tan
- KK Breast Department, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Zhiyan Yan
- KK Breast Department, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Joanne Ngeow
- Lee Kong Chian School of Medicine, Nanyang Technology University, Singapore, Singapore
- Cancer Genetics Service, National Cancer Centre Singapore, Singapore, Singapore
- Oncology Academic Clinical Program, Duke NUS, Singapore, Singapore
| | - Yirong Sim
- Department of Breast Surgery, Singapore General Hospital, Singapore, Singapore
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Patrick Chan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Singapore
| | | | - Ching Wan Chan
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Siau Wei Tang
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Mikael Hartman
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore
- Department of Surgery, University Surgical Cluster, National University Hospital, Singapore, Singapore
| | - Jingmei Li
- Genome Institute of Singapore, Human Genetics, Singapore, Singapore.
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore and National University Health System, Singapore, Singapore.
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25
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Abstract
INTRODUCTION Idiopathic granulomatous mastitis (IGM) is a rare, benign, chronic breast condition that can cause repeated abscesses or mass formation in bilateral breasts. The condition can severely impact the quality of life of affected women. This study aims to evaluate effective treatment modalities, as well as understand the demographics and clinical presentation of patients with IGM. METHODS An 11-year retrospective review was performed of patients diagnosed with IGM from 1 January 2008 to 31 December 2018 at a tertiary breast unit. RESULTS A total of 77 patients were included in the study. The median age at presentation was 36 years old. IGM presented most commonly as a breast lump (98.1%). The median number of flares was 2 (1-12). Of the 77 patients, 68.8% (53) were treated with antibiotics, 50.6% (39) with steroids, and 44.2% (34) underwent surgery, in the course of their IGM treatment. Forty-five (59.2%) of the 76 patients with IGM required a multimodal treatment approach to achieve remission. There was no significant difference in the number of flares no matter the initial treatment (P=0.411), or subsequent treatment modality (P=0.343). Smokers had 10 times greater odds of having a "high flare" of IGM compared to those who did not smoke (P=0.031, odds ratio 10.444, 95% confidence interval 1.092-99.859). CONCLUSION IGM is a clinical diagnosis. It is a rare, relapsing breast inflammatory condition that affects young females with no superior treatment modality. Smoking is associated with higher number of flares of IGM and should be discouraged in IGM patients.
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26
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Sheraton MV, Chiew GGY, Melnikov V, Tan EY, Luo KQ, Verma N, Sloot PMA. Emergence of spatio-temporal variations in chemotherapeutic drug efficacy: in-vitro and in-Silico 3D tumour spheroid studies. BMC Cancer 2020; 20:1201. [PMID: 33287759 PMCID: PMC7720561 DOI: 10.1186/s12885-020-07677-5] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/29/2020] [Accepted: 11/22/2020] [Indexed: 11/30/2022] Open
Abstract
Background The mechanisms of action and efficacy of cisplatin and paclitaxel at cell population level are well studied and documented, however the localized spatio-temporal effects of the drugs are less well understood. We explore the emergence of spatially preferential drug efficacy resulting from variations in mechanisms of cell-drug interactions. Methods 3D spheroids of HeLa-C3 cells were treated with drugs, cisplatin and paclitaxel. This was followed by sectioning and staining of the spheroids to track the spatio-temporal apoptotic effects of the drugs. A mechanistic drug-cell interaction model was developed and simulated to analyse the localized efficacy of these drugs. Results The outcomes of drug actions on a local cell population was dependant on the interactions between cell repair probability, intracellular drug concentration and cell’s mitosis phase. In spheroids treated with cisplatin, drug induced apoptosis is found to be scattered throughout the volume of the spheroids. In contrast, effect of paclitaxel is found to be preferentially localized along the periphery of the spheroids. Combinatorial treatments of cisplatin and paclitaxel result in varying levels of cell apoptosis based on the scheduling strategy. Conclusions The preferential action of paclitaxel can be attributed to the cell characteristics of the peripheral population. The model simulations and experimental data show that treatments initiated with paclitaxel are more efficacious due to the cascading of spatial effects of the drugs.
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Affiliation(s)
- M V Sheraton
- HEALTHTECH NTU, Interdisciplinary Graduate School, Nanyang Technological University, Singapore, Singapore.,Complexity Institute, Nanyang Technological University, Singapore, Singapore
| | - G G Y Chiew
- School of Chemical and Biomedical Engineering, Nanyang Technological University, Singapore, Singapore
| | - V Melnikov
- Complexity Institute, Nanyang Technological University, Singapore, Singapore
| | - E Y Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, Singapore
| | - K Q Luo
- Faculty of Health Sciences, University of Macau, Taipa, Macau, China.
| | - N Verma
- Department of Chemical Engineering, Indian Institute of Technology Kanpur, Kanpur, India.
| | - P M A Sloot
- Complexity Institute, Nanyang Technological University, Singapore, Singapore. .,ITMO University St. Petersburg, Russian Federation, St Petersburg, Russia. .,Institute for Advanced Study, University of Amsterdam, Amsterdam, The Netherlands.
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27
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Tang ELS, Sin PY, Chen JJC, Chan MYP, Seah MDW, Lu SQ, Goh MH, Tan EY. Understanding the Psychosocial Needs of Women who Present with Advanced Breast Cancer. Ann Acad Med Singap 2020; 49:990-995. [PMID: 33463657 DOI: 10.47102/annals-acadmedsg.2020129] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/12/2023]
Abstract
INTRODUCTION Advanced breast cancer (ABC) remains common in Singapore. In 2019, 22.1% of breast cancer patients presented with ABC in our institution. Despite increasing affluence and the advent of national mammographic screening, the incidence of ABC has not changed significantly. This suggests inherent differences in women who present late. We aim to explore the socio-economic background, knowledge and attitudes of women who present with ABC. METHODS Between December 2013 and July 2015, 100 patients who presented consecutively with ABC in a tertiary institution in Singapore were recruited to participate in an interviewer-led questionnaire exploring psychosocial and economic issues. RESULTS Among the 100 patients, 63 and 37 presented with stages 3 and 4 breast cancer respectively. Median age was 57 (27-86), 52% had at least secondary education, 53% had no formal employment and 71% were married; 88% were aware of breast cancer symptoms, 82% were aware that mammography can help detect cancer, 82% believed that current treatment modality for breast cancer is effective, 96% had never undergone a mammography and 52.9% felt mammograms were unnecessary. A total of 64% presented symptomatic from the breast tumour, with a median duration of 3 months. Many of the patients were aware of breast cancer symptoms and the utility of mammography. However, a group of patients did not comply with screening. This may be due to poor understanding about breast screening and detection in its asymptomatic phase. CONCLUSION Further public education to improve understanding of breast cancer and screening mammography may help to improve rates for earlier detection of breast cancer.
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28
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Bao Y, Oguz G, Lee WC, Lee PL, Ghosh K, Li J, Wang P, Lobie PE, Ehmsen S, Ditzel HJ, Wong A, Tan EY, Lee SC, Yu Q. EZH2-mediated PP2A inactivation confers resistance to HER2-targeted breast cancer therapy. Nat Commun 2020; 11:5878. [PMID: 33208750 PMCID: PMC7674491 DOI: 10.1038/s41467-020-19704-x] [Citation(s) in RCA: 13] [Impact Index Per Article: 3.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/17/2020] [Accepted: 10/23/2020] [Indexed: 12/13/2022] Open
Abstract
HER2-targeted therapy has yielded a significant clinical benefit in patients with HER2+ breast cancer, yet disease relapse due to intrinsic or acquired resistance remains a significant challenge in the clinic. Here, we show that the protein phosphatase 2A (PP2A) regulatory subunit PPP2R2B is a crucial determinant of anti-HER2 response. PPP2R2B is downregulated in a substantial subset of HER2+ breast cancers, which correlates with poor clinical outcome and resistance to HER2-targeted therapies. EZH2-mediated histone modification accounts for the PPP2R2B downregulation, resulting in sustained phosphorylation of PP2A targets p70S6K and 4EBP1 which leads to resistance to inhibition by anti-HER2 treatments. Genetic depletion or inhibition of EZH2 by a clinically-available EZH2 inhibitor restores PPP2R2B expression, abolishes the residual phosphorylation of p70S6K and 4EBP1, and resensitizes HER2+ breast cancer cells to anti-HER2 treatments both in vitro and in vivo. Furthermore, the same epigenetic mechanism also contributes to the development of acquired resistance through clonal selection. These findings identify EZH2-dependent PPP2R2B suppression as an epigenetic control of anti-HER2 resistance, potentially providing an opportunity to mitigate anti-HER2 resistance with EZH2 inhibitors.
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Affiliation(s)
- Yi Bao
- Cancer Science Institute of Singapore, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.,Cancer Precision Medicine, Genome Institute of Singapore, Agency for Science, Technology, and Research, Biopolis, Singapore, 138672, Singapore
| | - Gokce Oguz
- Cancer Precision Medicine, Genome Institute of Singapore, Agency for Science, Technology, and Research, Biopolis, Singapore, 138672, Singapore
| | - Wee Chyan Lee
- Cancer Precision Medicine, Genome Institute of Singapore, Agency for Science, Technology, and Research, Biopolis, Singapore, 138672, Singapore
| | - Puay Leng Lee
- Cancer Precision Medicine, Genome Institute of Singapore, Agency for Science, Technology, and Research, Biopolis, Singapore, 138672, Singapore
| | - Kakaly Ghosh
- Cancer Precision Medicine, Genome Institute of Singapore, Agency for Science, Technology, and Research, Biopolis, Singapore, 138672, Singapore
| | - Jiayao Li
- Cancer Research Institute, Jinan University, Guangzhou, China
| | - Panpan Wang
- Cancer Research Institute, Jinan University, Guangzhou, China
| | - Peter E Lobie
- Cancer Science Institute of Singapore, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore.,Tsinghua-Berkeley Shenzhen Institute, Guangdong Province and Shenzhen Bay Laboratory, Tsinghua University, Shenzhen, Guangdong Province, China
| | - Sidse Ehmsen
- Department of Oncology, Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, 5230, Odense, Denmark
| | - Henrik J Ditzel
- Department of Oncology, Odense University Hospital, Institute of Clinical Research, University of Southern Denmark, 5230, Odense, Denmark.,Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, 5230, Odense, Denmark
| | - Andrea Wong
- Department of Haematology-Oncology, National University Cancer Institute, National University Health System, Singapore, 119047, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, Singapore
| | - Soo Chin Lee
- Cancer Science Institute of Singapore, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore. .,Department of Haematology-Oncology, National University Cancer Institute, National University Health System, Singapore, 119047, Singapore.
| | - Qiang Yu
- Cancer Precision Medicine, Genome Institute of Singapore, Agency for Science, Technology, and Research, Biopolis, Singapore, 138672, Singapore. .,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore. .,Cancer and Stem Cell Biology, DUKE-NUS Graduate Medical School of Singapore, Singapore, 169857, Singapore.
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29
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Ho WK, Tan MM, Mavaddat N, Tai MC, Mariapun S, Li J, Ho PJ, Dennis J, Tyrer JP, Bolla MK, Michailidou K, Wang Q, Kang D, Choi JY, Jamaris S, Shu XO, Yoon SY, Park SK, Kim SW, Shen CY, Yu JC, Tan EY, Chan PMY, Muir K, Lophatananon A, Wu AH, Stram DO, Matsuo K, Ito H, Chan CW, Ngeow J, Yong WS, Lim SH, Lim GH, Kwong A, Chan TL, Tan SM, Seah J, John EM, Kurian AW, Koh WP, Khor CC, Iwasaki M, Yamaji T, Tan KMV, Tan KTB, Spinelli JJ, Aronson KJ, Hasan SN, Rahmat K, Vijayananthan A, Sim X, Pharoah PDP, Zheng W, Dunning AM, Simard J, van Dam RM, Yip CH, Taib NAM, Hartman M, Easton DF, Teo SH, Antoniou AC. European polygenic risk score for prediction of breast cancer shows similar performance in Asian women. Nat Commun 2020; 11:3833. [PMID: 32737321 PMCID: PMC7395776 DOI: 10.1038/s41467-020-17680-w] [Citation(s) in RCA: 62] [Impact Index Per Article: 15.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/19/2019] [Accepted: 07/15/2020] [Indexed: 12/02/2022] Open
Abstract
Polygenic risk scores (PRS) have been shown to predict breast cancer risk in European women, but their utility in Asian women is unclear. Here we evaluate the best performing PRSs for European-ancestry women using data from 17,262 breast cancer cases and 17,695 controls of Asian ancestry from 13 case-control studies, and 10,255 Chinese women from a prospective cohort (413 incident breast cancers). Compared to women in the middle quintile of the risk distribution, women in the highest 1% of PRS distribution have a ~2.7-fold risk and women in the lowest 1% of PRS distribution has ~0.4-fold risk of developing breast cancer. There is no evidence of heterogeneity in PRS performance in Chinese, Malay and Indian women. A PRS developed for European-ancestry women is also predictive of breast cancer risk in Asian women and can help in developing risk-stratified screening programmes in Asia.
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Affiliation(s)
- Weang-Kee Ho
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, Semenyih, 43500, Selangor, Malaysia.
- Cancer Research Malaysia, 1 Jalan SS12/1A, Subang Jaya, 47500, Selangor, Malaysia.
| | - Min-Min Tan
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, Semenyih, 43500, Selangor, Malaysia
- Cancer Research Malaysia, 1 Jalan SS12/1A, Subang Jaya, 47500, Selangor, Malaysia
| | - Nasim Mavaddat
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN, Cambridge, UK
| | - Mei-Chee Tai
- Cancer Research Malaysia, 1 Jalan SS12/1A, Subang Jaya, 47500, Selangor, Malaysia
| | - Shivaani Mariapun
- School of Mathematical Sciences, Faculty of Science and Engineering, University of Nottingham Malaysia, Jalan Broga, Semenyih, 43500, Selangor, Malaysia
- Cancer Research Malaysia, 1 Jalan SS12/1A, Subang Jaya, 47500, Selangor, Malaysia
| | - Jingmei Li
- Human Genetics, Genome Institute of Singapore, 60 Biopolis St, 138672, Singapore, Singapore
- Department of Surgery, National University Hospital and NUHS, 1E Kent Ridge Road, 119228, Singapore, Singapore
| | - Peh-Joo Ho
- Human Genetics, Genome Institute of Singapore, 60 Biopolis St, 138672, Singapore, Singapore
| | - Joe Dennis
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN, Cambridge, UK
| | - Jonathan P Tyrer
- Strangeways Research Laboratory, University of Cambridge, 2 Worts' Causeway, Cambridge, UK
| | - Manjeet K Bolla
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN, Cambridge, UK
| | - Kyriaki Michailidou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN, Cambridge, UK
- Biostatistics Unit, The Cyprus Institute of Neurology & Genetics, 6 Iroon Avenue, 2371, Ayios, Dometios, Cyprus
- Cyprus School of Molecular Medicine, The Cyprus Institute of Neurology & Genetics, 6 Iroon Avenue, 2371, Ayios, Dometios, Cyprus
| | - Qin Wang
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN, Cambridge, UK
| | - Daehee Kang
- Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-Ro, Jongno-Gu, 03080, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, 103 Daehak-Ro, Jongno-Gu, 03080, Seoul, Korea
- Cancer Research Institute, Seoul National University, 103 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
| | - Ji-Yeob Choi
- Department of Biomedical Sciences, Seoul National University Graduate School, 103 Daehak-Ro, Jongno-Gu, 03080, Seoul, Korea
- Cancer Research Institute, Seoul National University, 103 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
| | - Suniza Jamaris
- Department of Surgery, Faculty of Medicine, University of Malaya, Jalan Universiti, 50630, Kuala Lumpur, Malaysia
| | - Xiao-Ou Shu
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 1161 21st Ave S # D3300, Nashville, TN, 37232, USA
| | - Sook-Yee Yoon
- Cancer Research Malaysia, 1 Jalan SS12/1A, Subang Jaya, 47500, Selangor, Malaysia
| | - Sue K Park
- Department of Preventive Medicine, Seoul National University College of Medicine, 103 Daehak-Ro, Jongno-Gu, 03080, Seoul, Korea
- Department of Biomedical Sciences, Seoul National University Graduate School, 103 Daehak-Ro, Jongno-Gu, 03080, Seoul, Korea
- Cancer Research Institute, Seoul National University, 103 Daehak-Ro, Jongno-Gu, Seoul, 03080, Korea
| | - Sung-Won Kim
- Department of Surgery, Daerim Saint Mary's Hospital, 657 Siheung-Daero, Daerim-Dong, Yeongdeungpo-Gu, 07442, Seoul, Korea
| | - Chen-Yang Shen
- Institute of Biomedical Sciences, Academia Sinica, 115128, Section 2, Academia Road, Taipei, Taiwan
- School of Public Health, China Medical University, Taichung, Taiwan
| | - Jyh-Cherng Yu
- Department of Surgery, Tri-Service General Hospital, Taipei, 114, Taiwan
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Singapore
| | - Patrick Mun Yew Chan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, 308433, Singapore
| | - Kenneth Muir
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Oxford Road, M13 9PL, Manchester, UK
| | - Artitaya Lophatananon
- Division of Population Health, Health Services Research and Primary Care, School of Health Sciences, The University of Manchester, Oxford Road, M13 9PL, Manchester, UK
| | - Anna H Wu
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1975 Zonal Ave, Los Angeles, 90033, CA, USA
| | - Daniel O Stram
- Department of Preventive Medicine, Keck School of Medicine, University of Southern California, 1975 Zonal Ave, Los Angeles, 90033, CA, USA
| | - Keitaro Matsuo
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-Ku, 464-8681, Nagoya, Japan
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, 466-8550, Nagoya, Japan
| | - Hidemi Ito
- Division of Cancer Epidemiology and Prevention, Aichi Cancer Center Research Institute, 1-1 Kanokoden, Chikusa-Ku, 464-8681, Nagoya, Japan
- Division of Cancer Epidemiology, Nagoya University Graduate School of Medicine, 65 Tsurumai-Cho, Showa-Ku, 466-8550, Nagoya, Japan
| | - Ching Wan Chan
- Department of Surgery, Yong Loo Lin School of Medicine, National University of Singapore, 117597, Singapore, Singapore
- National University Hospital, National University Health System, Singapore, Singapore
| | - Joanne Ngeow
- Division of Medical Oncology, National Cancer Centre Singapore, 11 Hospital Drive, 169610, Singapore, Singapore
- Oncology Academic Clinical Program, Duke-NUS Graduate Medical School, 8 College Road, 169857, Singapore, Singapore
| | - Wei Sean Yong
- Division of Surgical Oncology, National Cancer Centre, Singapore, Singapore
| | - Swee Ho Lim
- Breast Department, KK Women's and Children's Hospital, Singapore, 100 Bukit Timah Road, 229899, Singapore
| | - Geok Hoon Lim
- Breast Department, KK Women's and Children's Hospital, Singapore, 100 Bukit Timah Road, 229899, Singapore
| | - Ava Kwong
- Hong Kong Hereditary Breast Cancer Family Registry, Cancer Genetics Centre, 18A Kung Ngam Village Road, Happy Valley, Hong Kong
- Department of Surgery, The University of Hong Kong, 102 Pokfulam Road, Pok Fu Lam, Hong Kong
- Department of Surgery, Hong Kong Sanatorium and Hospital, 2 Village Rd, Happy Valley, Hong Kong
| | - Tsun L Chan
- Hong Kong Hereditary Breast Cancer Family Registry, Cancer Genetics Centre, 18A Kung Ngam Village Road, Happy Valley, Hong Kong
- Department of Pathology, Hong Kong Sanatorium and Hospital, 2 Village Rd, Happy Valley, Hong Kong
| | - Su Ming Tan
- General Surgery, Changi General Hospital, Singapore, Singapore
| | - Jaime Seah
- General Surgery, Changi General Hospital, Singapore, Singapore
| | - Esther M John
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, 780 Welch Road, Suite CJ250C, Stanford, 94304 CA, USA
| | - Allison W Kurian
- Department of Medicine, Division of Oncology, Stanford Cancer Institute, Stanford University School of Medicine, 780 Welch Road, Suite CJ250C, Stanford, 94304 CA, USA
- Department of Health Research and Policy-Epidemiology, Stanford University School of Medicine, 259 Campus Drive, Stanford, 94305, CA, USA
| | - Woon-Puay Koh
- Health Services and Systems Research, Duke-NUS Medical School, Stanford University School of Medicine, 8 College Road, 169857, Singapore, Singapore
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, 117549, Singapore, Singapore
| | - Chiea Chuen Khor
- Human Genetics, Genome Institute of Singapore, 60 Biopolis St, 138672, Singapore, Singapore
| | - Motoki Iwasaki
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, 5-1-1 Tsukiji, Chuo-Ku, 104-0045, Tokyo, Japan
| | - Taiki Yamaji
- Division of Epidemiology, Center for Public Health Sciences, National Cancer Center, 5-1-1 Tsukiji, Chuo-Ku, 104-0045, Tokyo, Japan
| | - Kiak Mien Veronique Tan
- Division of Surgical Oncology, National Cancer Centre, Singapore, Singapore
- Department of General Surgery, Singapore General Hospital, Singapore, Singapore
| | - Kiat Tee Benita Tan
- Division of Surgical Oncology, National Cancer Centre, Singapore, Singapore
- Department of General Surgery, Singapore General Hospital, Singapore, Singapore
| | - John J Spinelli
- Population Oncology, BC Cancer, 675 West 10th Avenue, Vancouver, V5Z 1G1 BC, Canada
- School of Population and Public Health, University of British Columbia, 2329 West Mall, Vancouver, V6T 1Z4 BC, Canada
| | - Kristan J Aronson
- Department of Public Health Sciences, and Cancer Research Institute, Queen's University, 10 Stuart Street, Kingston, K7L 3N6 ON, Canada
| | - Siti Norhidayu Hasan
- Cancer Research Malaysia, 1 Jalan SS12/1A, Subang Jaya, 47500, Selangor, Malaysia
| | - Kartini Rahmat
- Biomedical Imaging Department, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Anushya Vijayananthan
- Biomedical Imaging Department, Faculty of Medicine, University of Malaya, Kuala Lumpur, Malaysia
| | - Xueling Sim
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, 117549, Singapore, Singapore
| | - Paul D P Pharoah
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, 2 Worts' Causeway, CB1 8RN, Cambridge, UK
| | - Wei Zheng
- Division of Epidemiology, Department of Medicine, Vanderbilt Epidemiology Center, Vanderbilt-Ingram Cancer Center, Vanderbilt University School of Medicine, 1161 21st Ave S # D3300, Nashville, TN, 37232, USA
| | - Alison M Dunning
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, 2 Worts' Causeway, CB1 8RN, Cambridge, UK
| | - Jacques Simard
- Genomics Center, CHU de Québec-Université Laval Research 2705 Blvd Laurier Québec (Québec) G1V 4G2, Quebec, Canada
| | - Rob Martinus van Dam
- Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, 12 Science Drive 2, #10-01, 117549, Singapore, Singapore
- Departments of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cheng-Har Yip
- Sime Darby Medical Centre, 1 Jalan SS12/1A, Subang Jaya, 47500, Selangor, Malaysia
| | - Nur Aishah Mohd Taib
- Department of Surgery, Faculty of Medicine, University of Malaya, Jalan Universiti, 50630, Kuala Lumpur, Malaysia
| | - Mikael Hartman
- Department of Surgery, National University Hospital and NUHS, 1E Kent Ridge Road, 119228, Singapore, Singapore
| | - Douglas F Easton
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN, Cambridge, UK
- Centre for Cancer Genetic Epidemiology, Department of Oncology, University of Cambridge, 2 Worts' Causeway, CB1 8RN, Cambridge, UK
| | - Soo-Hwang Teo
- Cancer Research Malaysia, 1 Jalan SS12/1A, Subang Jaya, 47500, Selangor, Malaysia.
- Department of Surgery, Faculty of Medicine, University of Malaya, Jalan Universiti, 50630, Kuala Lumpur, Malaysia.
| | - Antonis C Antoniou
- Centre for Cancer Genetic Epidemiology, Department of Public Health and Primary Care, University of Cambridge, CB1 8RN, Cambridge, UK
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30
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Loke SY, Munusamy P, Koh GL, Chan CHT, Madhukumar P, Thung JL, Tan KTB, Ong KW, Yong WS, Sim Y, Oey CL, Lim SZ, Chan MYP, Ho TSJ, Khoo BKJ, Wong SLJ, Thng CH, Chong BK, Tan EY, Tan VKM, Lee ASG. A Circulating miRNA Signature for Stratification of Breast Lesions among Women with Abnormal Screening Mammograms. Cancers (Basel) 2019; 11:cancers11121872. [PMID: 31769433 PMCID: PMC6966622 DOI: 10.3390/cancers11121872] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/04/2019] [Revised: 11/13/2019] [Accepted: 11/19/2019] [Indexed: 12/13/2022] Open
Abstract
Although mammography is the gold standard for breast cancer screening, the high rates of false-positive mammograms remain a concern. Thus, there is an unmet clinical need for a non-invasive and reliable test to differentiate between malignant and benign breast lesions in order to avoid subjecting patients with abnormal mammograms to unnecessary follow-up diagnostic procedures. Serum samples from 116 malignant breast lesions and 64 benign breast lesions were comprehensively profiled for 2,083 microRNAs (miRNAs) using next-generation sequencing. Of the 180 samples profiled, three outliers were removed based on the principal component analysis (PCA), and the remaining samples were divided into training (n = 125) and test (n = 52) sets at a 70:30 ratio for further analysis. In the training set, significantly differentially expressed miRNAs (adjusted p < 0.01) were identified after correcting for multiple testing using a false discovery rate. Subsequently, a predictive classification model using an eight-miRNA signature and a Bayesian logistic regression algorithm was developed. Based on the receiver operating characteristic (ROC) curve analysis in the test set, the model could achieve an area under the curve (AUC) of 0.9542. Together, this study demonstrates the potential use of circulating miRNAs as an adjunct test to stratify breast lesions in patients with abnormal screening mammograms.
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Affiliation(s)
- Sau Yeen Loke
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
| | - Prabhakaran Munusamy
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
| | - Geok Ling Koh
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
| | - Claire Hian Tzer Chan
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
| | - Preetha Madhukumar
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
| | - Jee Liang Thung
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Kiat Tee Benita Tan
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
- Department of General Surgery, Sengkang General Hospital, Singapore 544886, Singapore
| | - Kong Wee Ong
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Wei Sean Yong
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Yirong Sim
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Chung Lie Oey
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Sue Zann Lim
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Mun Yew Patrick Chan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore; (M.Y.P.C.); (E.Y.T.)
| | - Teng Swan Juliana Ho
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore;
| | - Boon Kheng James Khoo
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore;
| | - Su Lin Jill Wong
- Division of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore;
| | - Choon Hua Thng
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Oncologic Imaging, National Cancer Centre, Singapore 169610, Singapore;
| | - Bee Kiang Chong
- Department of Diagnostic Radiology, Tan Tock Seng Hospital, Singapore 308433, Singapore;
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore; (M.Y.P.C.); (E.Y.T.)
| | - Veronique Kiak-Mien Tan
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Division of Surgical Oncology, National Cancer Centre, Singapore 169610, Singapore; (J.L.T.); (K.W.O.); (C.L.O.)
- Department of General Surgery, Singapore General Hospital, Singapore 169608, Singapore
- SingHealth Duke-NUS Breast Centre, Singapore 169610, Singapore
| | - Ann Siew Gek Lee
- Cellular and Molecular Research, Humphrey Oei Institute of Cancer Research, National Cancer Centre, Singapore 169610, Singapore; (S.Y.L.); (P.M.); (G.L.K.); (C.H.T.C.)
- SingHealth Duke-NUS Oncology Academic Clinical Programme, Duke-NUS Medical School, Singapore 169857, Singapore; (P.M.); (K.T.B.T.); (W.S.Y.); (Y.S.); (S.Z.L.); (T.S.J.H.); (B.K.J.K.); (C.H.T.); (V.K.-M.T.)
- Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117593, Singapore
- Correspondence: ; Tel.: +65-6436-8313
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Uppu DSSM, Turvey ME, Sharif ARM, Bidet K, He Y, Ho V, Tambe AD, Lescar J, Tan EY, Fink K, Chen J, Hammond PT. Temporal release of a three-component protein subunit vaccine from polymer multilayers. J Control Release 2019; 317:130-141. [PMID: 31756392 DOI: 10.1016/j.jconrel.2019.11.022] [Citation(s) in RCA: 25] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2019] [Revised: 10/14/2019] [Accepted: 11/18/2019] [Indexed: 12/11/2022]
Abstract
Sustained antigen and adjuvant availability have been shown to improve antiviral immune responses following vaccination. Transcutaneous delivery of vaccines using microneedles has also shown promise and may be particularly relevant for mosquito-borne viruses. We aim to combine these traits to create a three-component Protein Subunit vaccine on Microneedle Arrays (PSMNs) for transcutaneous delivery using layer-by-layer (LbL) assembly. Polymer multilayer thin films were generated to co-deliver a model combination of three chemically distinct vaccine components, a dengue virus Envelope protein Domain III (EDIII) subunit antigen and two adjuvants, a double-stranded RNA (Poly (inosinic:cytidylic acid) (PolyI:C)) and an amphiphilic hexapeptide, Pam3CSK4. Following application of PSMNs to the skin, implanted thin films facilitated sustained and temporal release of individual vaccine components from polymer multilayers. By modulating LbL composition and architecture, component release profiles in the skin could be independently tuned to allow release of adjuvants and antigen from days up to two weeks. Uptake of antigen and adjuvant from implanted vaccine films by antigen-presenting cells was demonstrated using in vivo mouse and ex vivo human skin models. Overall, we believe that such modular vaccine strategies offer design principles for enhancing the immunogenicity of protein subunit vaccines.
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Affiliation(s)
- Divakara S S M Uppu
- Interdisciplinary Research Group in Infectious Diseases, Singapore-MIT Alliance for Research and Technology, Singapore
| | - Michelle E Turvey
- Interdisciplinary Research Group in Infectious Diseases, Singapore-MIT Alliance for Research and Technology, Singapore
| | - Abdul Rahim Mohammed Sharif
- Interdisciplinary Research Group in Infectious Diseases, Singapore-MIT Alliance for Research and Technology, Singapore
| | - Katell Bidet
- Interdisciplinary Research Group in Infectious Diseases, Singapore-MIT Alliance for Research and Technology, Singapore
| | - Yanpu He
- Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Victor Ho
- Singapore Immunology Network, Agency for Science Technology and Research, Singapore
| | - Anagha D Tambe
- Interdisciplinary Research Group in Infectious Diseases, Singapore-MIT Alliance for Research and Technology, Singapore
| | - Julien Lescar
- School of Biological Sciences, Nanyang Technology University, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore
| | - Katja Fink
- Singapore Immunology Network, Agency for Science Technology and Research, Singapore
| | - Jianzhu Chen
- Interdisciplinary Research Group in Infectious Diseases, Singapore-MIT Alliance for Research and Technology, Singapore; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Biology, Massachusetts Institute of Technology, Cambridge, MA, USA
| | - Paula T Hammond
- Interdisciplinary Research Group in Infectious Diseases, Singapore-MIT Alliance for Research and Technology, Singapore; Koch Institute for Integrative Cancer Research, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
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Sessler DI, Pei L, Huang Y, Fleischmann E, Marhofer P, Kurz A, Mayers DB, Meyer-Treschan TA, Grady M, Tan EY, Ayad S, Mascha EJ, Buggy DJ. Recurrence of breast cancer after regional or general anaesthesia: a randomised controlled trial. Lancet 2019; 394:1807-1815. [PMID: 31645288 DOI: 10.1016/s0140-6736(19)32313-x] [Citation(s) in RCA: 217] [Impact Index Per Article: 43.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/04/2019] [Revised: 06/19/2019] [Accepted: 08/07/2019] [Indexed: 01/27/2023]
Abstract
BACKGROUND Three perioperative factors impair host defence against recurrence during cancer surgery: the surgical stress response, use of volatile anaesthetic, and opioids for analgesia. All factors are ameliorated by regional anaesthesia-analgesia. We tested the primary hypothesis that breast cancer recurrence after potentially curative surgery is lower with regional anaesthesia-analgesia using paravertebral blocks and the anaesthetic propofol than with general anaesthesia with the volatile anaesthetic sevoflurane and opioid analgesia. A second hypothesis was that regional anaesthesia-analgesia reduces persistent incisional pain. METHODS We did a randomised controlled trial at 13 hospitals in Argentina, Austria, China, Germany, Ireland, New Zealand, Singapore, and the USA. Women (age <85 years) having potentially curative primary breast cancer resections were randomised by computer to either regional anaesthesia-analgesia (paravertebral blocks and propofol) or general anaesthesia (sevoflurane) and opioid analgesia. The primary outcome was local or metastatic breast cancer recurrence. The secondary outcome was incisional pain at 6 months and 12 months. Primary analyses were done under intention-to-treat principles. This trial is registered with ClinicalTrials.gov, NCT00418457. The study was stopped after a preplanned futility boundary was crossed. FINDINGS Between Jan 30, 2007, and Jan 18, 2018, 2132 women were enrolled to the study, of whom 24 were excluded before surgery. 1043 were assigned to regional anaesthesia-analgesia and 1065 were allocated to general anaesthesia. Baseline characteristics were well balanced between study groups. Median follow-up was 36 (IQR 24-49) months. Among women assigned regional anaesthesia-analgesia, 102 (10%) recurrences were reported, compared with 111 (10%) recurrences among those allocated general anaesthesia (hazard ratio 0·97, 95% CI 0·74-1·28; p=0·84). Incisional pain was reported by 442 (52%) of 856 patients assigned to regional anaesthesia-analgesia and 456 (52%) of 872 patients allocated to general anaesthesia at 6 months, and by 239 (28%) of 854 patients and 232 (27%) of 852 patients, respectively, at 12 months (overall interim-adjusted odds ratio 1·00, 95% CI 0·85-1·17; p=0·99). Neuropathic breast pain did not differ by anaesthetic technique and was reported by 87 (10%) of 859 patients assigned to regional anaesthesia-analgesia and 89 (10%) of 870 patients allocated to general anaesthesia at 6 months, and by 57 (7%) of 857 patients and 57 (7%) of 854 patients, respectively, at 12 months. INTERPRETATION In our study population, regional anaesthesia-analgesia (paravertebral block and propofol) did not reduce breast cancer recurrence after potentially curative surgery compared with volatile anaesthesia (sevoflurane) and opioids. The frequency and severity of persistent incisional breast pain was unaffected by anaesthetic technique. Clinicians can use regional or general anaesthesia with respect to breast cancer recurrence and persistent incisional pain. FUNDING Sisk Healthcare Foundation (Ireland), Eccles Breast Cancer Research Fund, British Journal of Anaesthesia International, College of Anaesthetists of Ireland, Peking Union Medical College Hospital, Science Fund for Junior Faculty 2016, Central Bank of Austria, and National Healthcare Group.
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MESH Headings
- Adult
- Aged
- Aged, 80 and over
- Analgesics, Opioid/adverse effects
- Analgesics, Opioid/therapeutic use
- Anesthesia, Conduction/adverse effects
- Anesthesia, Conduction/methods
- Anesthesia, General/adverse effects
- Anesthesia, General/methods
- Anesthetics, Inhalation/adverse effects
- Breast Neoplasms/pathology
- Breast Neoplasms/surgery
- Female
- Follow-Up Studies
- Humans
- Kaplan-Meier Estimate
- Lymphatic Metastasis
- Mastectomy/methods
- Middle Aged
- Neoplasm Grading
- Neoplasm Recurrence, Local/etiology
- Neoplasm Recurrence, Local/prevention & control
- Neoplasm Staging
- Nerve Block/methods
- Pain, Postoperative/prevention & control
- Sevoflurane/adverse effects
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Affiliation(s)
- Daniel I Sessler
- Department of Outcomes Research, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA.
| | - Lijian Pei
- Department of Anesthesiology, Peking Union Medical College Hospital, Beijing, China
| | - Yuguang Huang
- Department of Anesthesiology, Peking Union Medical College Hospital, Beijing, China.
| | - Edith Fleischmann
- Department of Anaesthesia, General Intensive Care and Pain Management, Medical University of Vienna, Vienna, Austria
| | - Peter Marhofer
- Department of Anaesthesia, General Intensive Care and Pain Management, Medical University of Vienna, Vienna, Austria
| | - Andrea Kurz
- Department of Outcomes Research, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of General Anesthesiology, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Douglas B Mayers
- Department of Outcomes Research, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Regional Anesthesiology, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | | | - Martin Grady
- Department of Outcomes Research, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Regional Anesthesiology, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Ern Yu Tan
- Tan Tock Seng Hospital, Singapore, Singapore
| | - Sabry Ayad
- Department of Outcomes Research, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Regional Anesthesiology, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Edward J Mascha
- Department of Outcomes Research, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA; Department of Quantitative Health Sciences, Anesthesiology Institute and Lerner Research Institute, Cleveland Clinic, Cleveland, OH, USA
| | - Donal J Buggy
- Mater University Hospital, School of Medicine, University College Dublin, Dublin, Ireland
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33
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Ho V, Yong HY, Chevrier M, Narang V, Lum J, Toh YX, Lee B, Chen J, Tan EY, Luo D, Fink K. RIG-I Activation by a Designer Short RNA Ligand Protects Human Immune Cells against Dengue Virus Infection without Causing Cytotoxicity. J Virol 2019; 93:e00102-19. [PMID: 31043531 PMCID: PMC6600207 DOI: 10.1128/jvi.00102-19] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/25/2019] [Accepted: 04/23/2019] [Indexed: 12/25/2022] Open
Abstract
Virus-derived double-stranded RNA (dsRNA) molecules containing a triphosphate group at the 5' end are natural ligands of retinoic acid-inducible gene I (RIG-I). The cellular pathways and proteins induced by RIG-I are an essential part of the innate immune response against viral infections. Starting from a previously published RNA scaffold (3p10L), we characterized an optimized small dsRNA hairpin (called 3p10LG9, 25 nucleotides [nt] in length) as a highly efficient RIG-I activator. Dengue virus (DENV) infection in cell lines and primary human skin cells could be prevented and restricted through 3p10LG9-mediated activation of RIG-I. This antiviral effect was RIG-I and interferon signal dependent. The effect was temporary and was reversed above a saturating concentration of RIG-I ligand. This finding revealed an effective feedback loop that controls potentially damaging inflammatory effects of the RIG-I response, at least in immune cells. Our results show that the small RIG-I activator 3p10LG9 can confer short-term protection against DENV and can be further explored as an antiviral treatment in humans.IMPORTANCE Short hairpin RNA ligands that activate RIG-I induce antiviral responses in infected cells and prevent or control viral infections. Here, we characterized a new short hairpin RNA molecule with high efficacy in antiviral gene activation and showed that this molecule is able to control dengue virus infection. We demonstrate how structural modifications of minimal RNA ligands can lead to increased potency and a wider window of RIG-I-activating concentrations before regulatory mechanisms kick in at high concentrations. We also show that minimal RNA ligands induce an effective antiviral response in human skin dendritic cells and macrophages, which are the target cells of initial infection after the mosquito releases virus into the skin. Using short hairpin RNA as RIG-I ligands could therefore be explored as antiviral therapy.
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Affiliation(s)
- Victor Ho
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore
| | - Hui Yee Yong
- School of Biological Sciences, Nanyang Technological University, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Marion Chevrier
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Vipin Narang
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Josephine Lum
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Ying-Xiu Toh
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Bernett Lee
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Jinmiao Chen
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore
| | - Dahai Luo
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
| | - Katja Fink
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore
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Sinnadurai S, Kwong A, Hartman M, Tan EY, Bhoo-Pathy NT, Dahlui M, See MH, Yip CH, Taib NA, Bhoo-Pathy N. Breast-conserving surgery versus mastectomy in young women with breast cancer in Asian settings. BJS Open 2018; 3:48-55. [PMID: 30734015 PMCID: PMC6354186 DOI: 10.1002/bjs5.50111] [Citation(s) in RCA: 34] [Impact Index Per Article: 5.7] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2018] [Accepted: 09/07/2018] [Indexed: 01/01/2023] Open
Abstract
Background Mastectomy rates among women with early breast cancer in Asia have traditionally been high. This study assessed trends in the surgical management of young women with early‐stage breast cancer in Asian settings. Survival in women treated with breast‐conserving surgery (BCS; lumpectomy with adjuvant radiotherapy) and those undergoing mastectomy was compared. Methods Young women (aged less than 50 years) newly diagnosed with stage I or II (T1–2 N0–1 M0) breast cancer in four hospitals in Malaysia, Singapore and Hong Kong in 1990–2012 were included. Overall survival (OS) was compared for patients treated by BCS and those who had a mastectomy. Propensity score analysis was used to account for differences in demographic, tumour and treatment characteristics between the groups. Results Some 63·5 per cent of 3536 women underwent mastectomy. Over a 15‐year period, only a modest increase in rates of BCS was observed. Although BCS was significantly associated with favourable prognostic features, OS was not significantly different for BCS and mastectomy; the 5‐year OS rate was 94·9 (95 per cent c.i. 93·5 to 96·3) and 92·9 (91·7 to 94·1) per cent respectively. Inferences remained unchanged following propensity score analysis (hazard ratio for BCS versus mastectomy: 0·81, 95 per cent c.i. 0·64 to 1·03). Conclusion The prevalence of young women with breast cancer treated by mastectomy remains high in Asian countries. Patients treated with BCS appear to survive as well as those undergoing mastectomy.
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Affiliation(s)
- S Sinnadurai
- Department of Surgery, University Malaya Medical Centre University of Malaya Kuala Lumpur Malaysia
| | - A Kwong
- Department of Surgery University of Hong Kong Pokfulam Hong Kong
| | - M Hartman
- Division of General Surgery (Breast Surgery) National University Hospital Singapore
| | - E Y Tan
- Department of General Surgery Tan Tock Seng Hospital Singapore
| | - N T Bhoo-Pathy
- Department of Social and Preventive Medicine, Faculty of Medicine University of Malaya Kuala Lumpur Malaysia
| | - M Dahlui
- Department of Social and Preventive Medicine, Faculty of Medicine University of Malaya Kuala Lumpur Malaysia
| | - M H See
- Department of Surgery, University Malaya Medical Centre University of Malaya Kuala Lumpur Malaysia
| | - C H Yip
- Department of Surgery, University Malaya Medical Centre University of Malaya Kuala Lumpur Malaysia
| | - N A Taib
- Department of Surgery, University Malaya Medical Centre University of Malaya Kuala Lumpur Malaysia
| | - N Bhoo-Pathy
- Department of Social and Preventive Medicine, Faculty of Medicine University of Malaya Kuala Lumpur Malaysia
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Baek JS, Tee JK, Pang YY, Tan EY, Lim KL, Ho HK, Loo SCJ. Improved Bioavailability of Levodopa Using Floatable Spray-Coated Microcapsules for the Management of Parkinson's Disease. Neuromolecular Med 2018; 20:262-270. [PMID: 29696585 DOI: 10.1007/s12017-018-8491-0] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/09/2018] [Accepted: 04/23/2018] [Indexed: 12/14/2022]
Abstract
Oral administration of levodopa (LD) is the gold standard in managing Parkinson's disease (PD). Although LD is the most effective drug in treating PD, chronic administration of LD induces levodopa-induced dyskinesia. A continuous and sustained provision of LD to the brain could, therefore, reduce peak-dose dyskinesia. In commercial oral formulations, LD is co-administrated with an AADC inhibitor (carbidopa) and a COMT inhibitor (entacapone) to enhance its bioavailability. Nevertheless, patients are known to take up to five tablets a day because of poor sustained-releasing capabilities that lead to fluctuations in plasma concentrations. To achieve a prolonged release of LD with the aim of improving its bioavailability, floatable spray-coated microcapsules containing all three PD drugs were developed. This gastro-retentive delivery system showed sustained release of all PD drugs, at similar release kinetics. Pharmacokinetics study was conducted and this newly developed formulation showed a more plateaued delivery of LD that is void of the plasma concentration fluctuations observed for the control (commercial formulation). At the same time, measurements of LD and dopamine of mice administered with this formulation showed enhanced bioavailability of LD. This study highlights a floatable, sustained-releasing delivery system in achieving improved pharmacokinetics data compared to a commercial formulation.
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Affiliation(s)
- Jong-Suep Baek
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore
| | - Jie Kai Tee
- Department of Pharmacy, Faculty of Science, National University of Singapore, 18 Science Drive 4, Singapore, 117543, Singapore
| | - Yi Yun Pang
- Department of Pharmacy, Faculty of Science, National University of Singapore, 18 Science Drive 4, Singapore, 117543, Singapore
| | - Ern Yu Tan
- General Surgery Clinic, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Kah Leong Lim
- National Neuroscience Institute (NNI), 11 Jalan Tan Tock Seng, Singapore, 308433, Singapore
| | - Han Kiat Ho
- Department of Pharmacy, Faculty of Science, National University of Singapore, 18 Science Drive 4, Singapore, 117543, Singapore
| | - Say Chye Joachim Loo
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore, 639798, Singapore. .,Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore, 637551, Singapore.
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Chan PMY, Chotai N, Lai ES, Sin PY, Chen J, Lu SQ, Goh MH, Chong BK, Ho BCS, Tan EY. Majority of flat epithelial atypia diagnosed on biopsy do not require surgical excision. Breast 2018; 37:13-17. [DOI: 10.1016/j.breast.2017.10.005] [Citation(s) in RCA: 15] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2017] [Revised: 08/14/2017] [Accepted: 10/10/2017] [Indexed: 11/16/2022] Open
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Rasheed SAK, Leong HS, Lakshmanan M, Raju A, Dadlani D, Chong FT, Shannon NB, Rajarethinam R, Skanthakumar T, Tan EY, Hwang JSG, Lim KH, Tan DSW, Ceppi P, Wang M, Tergaonkar V, Casey PJ, Iyer NG. GNA13 expression promotes drug resistance and tumor-initiating phenotypes in squamous cell cancers. Oncogene 2017; 37:1340-1353. [PMID: 29255247 PMCID: PMC6168473 DOI: 10.1038/s41388-017-0038-6] [Citation(s) in RCA: 29] [Impact Index Per Article: 4.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/21/2016] [Revised: 10/06/2017] [Accepted: 10/06/2017] [Indexed: 12/12/2022]
Abstract
Treatment failure in solid tumors occurs due to the survival of specific subpopulations of cells that possess tumor-initiating (TIC) phenotypes. Studies have implicated G protein-coupled-receptors (GPCRs) in cancer progression and the acquisition of TIC phenotypes. Many of the implicated GPCRs signal through the G protein GNA13. In this study, we demonstrate that GNA13 is upregulated in many solid tumors and impacts survival and metastases in patients. GNA13 levels modulate drug resistance and TIC-like phenotypes in patient-derived head and neck squamous cell carcinoma (HNSCC) cells in vitro and in vivo. Blockade of GNA13 expression, or of select downstream pathways, using small-molecule inhibitors abrogates GNA13-induced TIC phenotypes, rendering cells vulnerable to standard-of-care cytotoxic therapies. Taken together, these data indicate that GNA13 expression is a potential prognostic biomarker for tumor progression, and that interfering with GNA13-induced signaling provides a novel strategy to block TICs and drug resistance in HNSCCs.
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Affiliation(s)
| | - Hui Sun Leong
- Cancer Therapeutics Research Laboratory, National Cancer Centre, Singapore, Singapore
| | - Manikandan Lakshmanan
- Mouse Models for Human Cancer Unit, Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Anandhkumar Raju
- Mouse Models for Human Cancer Unit, Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Dhivya Dadlani
- Programme in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Fui-Teen Chong
- Cancer Therapeutics Research Laboratory, National Cancer Centre, Singapore, Singapore
| | - Nicholas B Shannon
- Department of Surgical Oncology, National Cancer Centre, Singapore, Singapore
| | | | | | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, Singapore
| | | | - Kok Hing Lim
- Department of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Daniel Shao-Weng Tan
- Cancer Therapeutics Research Laboratory, National Cancer Centre, Singapore, Singapore
| | - Paolo Ceppi
- IZKF Junior Research Group, Friedrich-Alexander-Universitaet Erlangen-Nuernberg, Erlangen, Germany
| | - Mei Wang
- Programme in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore
| | - Vinay Tergaonkar
- Mouse Models for Human Cancer Unit, Institute of Molecular and Cell Biology, Singapore, Singapore
| | - Patrick J Casey
- Programme in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore. .,Department of Pharmacology and Cancer Biology, Duke University Medical Center, Durham, USA.
| | - N Gopalakrishna Iyer
- Programme in Cancer and Stem Cell Biology, Duke-NUS Medical School, Singapore, Singapore. .,Cancer Therapeutics Research Laboratory, National Cancer Centre, Singapore, Singapore. .,Department of Surgical Oncology, National Cancer Centre, Singapore, Singapore.
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Rasheed SAK, Leong HS, Lakshmanan M, Raju A, Dadlani D, Chong FT, Rajarethinam R, Skanthakumar T, Tan EY, Hwang JSG, Lim KH, Tan DSW, Ceppi P, Wang M, Tergaonkar V, Casey PJ, Iyer NG. Abstract 3887: GNA13 is a theranostic target that drives drug resistance and cancer stem-like phenotypes in solid tumors. Cancer Res 2017. [DOI: 10.1158/1538-7445.am2017-3887] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
Abstract
Treatment failure in solid tumors occurs due to the survival of specific subpopulations of cells that possess stem cell-like (CSC) phenotypes. Studies have implicated G protein-coupled-receptors (GPCRs) in cancer progression and the acquisition of aggressive phenotypes. Many of the implicated GPCRs signal through the G12 subfamily, comprised of GNA12 and GNA13. In this study, we demonstrate that GNA13 is upregulated in many solid tumors and impacts survival and metastases in these patients. Consistent with this, we show that GNA13 expression modulates drug resistance through its effect on the CSC sub-population in a panel of patient-derived head and neck (HNSCC) and breast cancer cells. These data were validated in vivo, where GNA13 over-expression in patient-derived xenografts increased tumor initiating capacity, tumorigenicity and drug resistance, with no effect on growth or proliferation. Signaling through NFKB and MAPK pathways appear to be critical to the observed phenotype. Importantly, blockade of GNA13 expression, or select downstream pathways using small-molecule inhibitors, abrogates GNA13-induced CSCs, rendering cells vulnerable to standard-of-care cytotoxic therapy for these cancers. Taken together, these data indicate that GNA13 expression is a potential prognostic biomarker, and interfering with GNA13-induced signaling provides a novel strategy to block CSCs and drug resistance in solid tumors.
Citation Format: Suhail Ahmed Kabeer Rasheed, Hui Sun Leong, Manikandan Lakshmanan, Anandhkumar Raju, Dhivya Dadlani, Fui-Teen Chong, Ravisankar Rajarethinam, Thakshayeni Skanthakumar, Ern Yu Tan, Jacqueline Siok Gek Hwang, Kok Hing Lim, Daniel Shao-Weng Tan, Paolo Ceppi, Mei Wang, Vinay Tergaonkar, Patrick J. Casey, N. Gopalakrishna Iyer. GNA13 is a theranostic target that drives drug resistance and cancer stem-like phenotypes in solid tumors [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2017; 2017 Apr 1-5; Washington, DC. Philadelphia (PA): AACR; Cancer Res 2017;77(13 Suppl):Abstract nr 3887. doi:10.1158/1538-7445.AM2017-3887
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Affiliation(s)
| | | | | | | | | | | | | | | | - Ern Yu Tan
- 4Tan Tock Seng Hospital, Singapore, Singapore
| | | | - Kok Hing Lim
- 5Singapore General Hospital, Singapore, Singapore
| | | | - Paolo Ceppi
- 6Friedrich-Alexander-Universitaet Erlangen-Nuernberg, Germany, Germany
| | - Mei Wang
- 1Duke-NUS Medical School, Singapore, Singapore
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Xu M, Zuest R, Velumani S, Tukijan F, Toh YX, Appanna R, Tan EY, Cerny D, MacAry P, Wang CI, Fink K. A potent neutralizing antibody with therapeutic potential against all four serotypes of dengue virus. NPJ Vaccines 2017; 2:2. [PMID: 29263863 PMCID: PMC5627287 DOI: 10.1038/s41541-016-0003-3] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/27/2016] [Revised: 10/28/2016] [Accepted: 11/02/2016] [Indexed: 02/04/2023] Open
Abstract
A therapy for dengue is still elusive. We describe the neutralizing and protective capacity of a dengue serotype-cross-reactive antibody isolated from the plasmablasts of a patient. Antibody SIgN-3C neutralized all four dengue virus serotypes at nano to picomolar concentrations and significantly decreased viremia of all serotypes in adult mice when given 2 days after infection. Moreover, mice were protected from pathology and death from a lethal dengue virus-2 infection. To avoid potential Fc-mediated uptake of immune complexes and ensuing enhanced infection, we introduced a LALA mutation in the Fc part. SIgN-3C-LALA was as efficient as the non-modified antibody in neutralizing dengue virus and in protecting mice while antibody-dependent enhancement was completely abrogated. The epitope of the antibody includes conserved amino acids in all three domains of the glycoprotein, which can explain its cross-reactivity. SIgN-3C-LALA neutralizes dengue virus both pre and post-attachment to host cells. These attributes likely contribute to the remarkable protective capacity of SIgN-3C.
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Affiliation(s)
- Meihui Xu
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Roland Zuest
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Sumathy Velumani
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Farhana Tukijan
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Ying Xiu Toh
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Ramapraba Appanna
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore, Singapore
| | - Daniela Cerny
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
| | - Paul MacAry
- Yong Loo Lin School of Medicine, National University of Singapore, Singapore, Singapore
| | - Cheng-I Wang
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
| | - Katja Fink
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore, Singapore
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Lim LY, Miao H, Lim JSJ, Lee SC, Bhoo‐Pathy N, Yip CH, Taib NABM, Chan P, Tan EY, Lim SH, Lim GH, Woo E, Tan YS, Lee JA, Wong M, Tan PH, Ong KW, Wong FY, Yap YS, Hartman M. Outcome after neoadjuvant chemotherapy in Asian breast cancer patients. Cancer Med 2017; 6:173-185. [PMID: 28000426 PMCID: PMC5269707 DOI: 10.1002/cam4.985] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/16/2016] [Revised: 10/27/2016] [Accepted: 10/28/2016] [Indexed: 01/27/2023] Open
Abstract
We aim to identify clinicopathologic predictors for response to neoadjuvant chemotherapy and to evaluate the prognostic value of pathologic complete response (pCR) on survival in Asia. This study included 915 breast cancer patients who underwent neoadjuvant chemotherapy at five public hospitals in Singapore and Malaysia. pCR following neoadjuvant chemotherapy was defined as 1) no residual invasive tumor cells in the breast (ypT0/is) and 2) no residual invasive tumor cells in the breast and axillary lymph nodes (ypT0/is ypN0). Association between pCR and clinicopathologic characteristics and treatment were evaluated using chi-square test and multivariable logistic regression. Kaplan-Meier analysis and log-rank test, stratified by other prognostic factors, were conducted to compare overall survival between patients who achieved pCR and patients who did not. Overall, 4.4% of nonmetastatic patients received neoadjuvant chemotherapy. The median age of preoperatively treated patients was 50 years. pCR rates were 18.1% (pCR ypT0/is) and 14.4% (pCR ypT0/is ypN0), respectively. pCR rate was the highest among women who had higher grade, smaller size, estrogen receptor negative, human epidermal growth factor receptor 2-positive disease or receiving taxane-based neoadjuvant chemotherapy. Patients who achieved pCR had better overall survival than those who did not. In subgroup analysis, the survival advantage was only significant among women with estrogen receptor-negative tumors. Patients with poor prognostic profile are more likely to achieve pCR and particularly when receiving taxane-containing chemotherapy. pCR is a significant prognostic factor for overall survival especially in estrogen receptor-negative breast cancers.
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Affiliation(s)
- Li Yan Lim
- Department of SurgeryNational University Health System1E Kent Ridge RoadSingapore119228Singapore
| | - Hui Miao
- Saw Swee Hock School of Public HealthNational University of SingaporeTahir Foundation Building, 12 Science Drive 2Singapore117549Singapore
| | - Joline S. J. Lim
- Department of Hematology OncologyNational University Health System1E Kent Ridge RoadSingapore119228Singapore
| | - Soo Chin Lee
- Department of Hematology OncologyNational University Health System1E Kent Ridge RoadSingapore119228Singapore
| | - Nirmala Bhoo‐Pathy
- Julius Centre University MalayaFaculty of MedicineUniversity of MalayaKuala Lumpur50603Malaysia
| | - Cheng Har Yip
- Department of SurgeryFaculty of MedicineUniversity of MalayaKuala Lumpur50603Malaysia
| | - Nur Aishah B. M. Taib
- Department of SurgeryFaculty of MedicineUniversity of MalayaKuala Lumpur50603Malaysia
| | - Patrick Chan
- Department of SurgeryTan Tock Seng Hospital11 Jalan Tan Tock SengSingapore308433Singapore
| | - Ern Yu Tan
- Department of SurgeryTan Tock Seng Hospital11 Jalan Tan Tock SengSingapore308433Singapore
| | - Swee Ho Lim
- Breast DepartmentKK Women's and Children's Hospital100 Bukit Timah RoadSingapore229899Singapore
| | - Geok Hoon Lim
- Breast DepartmentKK Women's and Children's Hospital100 Bukit Timah RoadSingapore229899Singapore
| | - Evan Woo
- Breast DepartmentKK Women's and Children's Hospital100 Bukit Timah RoadSingapore229899Singapore
| | - Yia Swam Tan
- Breast DepartmentKK Women's and Children's Hospital100 Bukit Timah RoadSingapore229899Singapore
| | - Jung Ah Lee
- Breast DepartmentKK Women's and Children's Hospital100 Bukit Timah RoadSingapore229899Singapore
| | - Mabel Wong
- Department of Medical OncologyNational Cancer Centre Singapore11 Hospital DriveSingapore169610Singapore
| | - Puay Hoon Tan
- Department of PathologySingapore General Hospital20 College RoadSingapore169856Singapore
| | - Kong Wee Ong
- Division of Surgical OncologyNational Cancer Centre Singapore11 Hospital DriveSingapore169610Singapore
| | - Fuh Yong Wong
- Division of Radiation OncologyNational Cancer Centre Singapore11 Hospital DriveSingapore169610Singapore
| | - Yoon Sim Yap
- Breast DepartmentKK Women's and Children's Hospital100 Bukit Timah RoadSingapore229899Singapore
- Department of Medical OncologyNational Cancer Centre Singapore11 Hospital DriveSingapore169610Singapore
| | - Mikael Hartman
- Saw Swee Hock School of Public HealthNational University of SingaporeTahir Foundation Building, 12 Science Drive 2Singapore117549Singapore
- Department of SurgeryNational University of Singapore and National University Health System1E Kent Ridge RoadSingapore119228Singapore
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Zembutsu H, Nakamura S, Akashi-Tanaka S, Kuwayama T, Watanabe C, Takamaru T, Takei H, Ishikawa T, Miyahara K, Matsumoto H, Hasegawa Y, Kutomi G, Shima H, Satomi F, Okazaki M, Zaha H, Onomura M, Matsukata A, Sagara Y, Baba S, Yamada A, Shimada K, Shimizu D, Tsugawa K, Shimo A, Tan EY, Hartman M, Chan CW, Lee SC, Nakamura Y. Significant Effect of Polymorphisms in CYP2D6 on Response to Tamoxifen Therapy for Breast Cancer: A Prospective Multicenter Study. Clin Cancer Res 2016; 23:2019-2026. [DOI: 10.1158/1078-0432.ccr-16-1779] [Citation(s) in RCA: 24] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2016] [Revised: 09/09/2016] [Accepted: 09/28/2016] [Indexed: 11/16/2022]
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Khattar E, Kumar P, Liu CY, Akıncılar SC, Raju A, Lakshmanan M, Maury JJP, Qiang Y, Li S, Tan EY, Hui KM, Shi M, Loh YH, Tergaonkar V. Telomerase reverse transcriptase promotes cancer cell proliferation by augmenting tRNA expression. J Clin Invest 2016; 126:4045-4060. [PMID: 27643433 DOI: 10.1172/jci86042] [Citation(s) in RCA: 92] [Impact Index Per Article: 11.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/15/2015] [Accepted: 08/11/2016] [Indexed: 12/13/2022] Open
Abstract
Transcriptional reactivation of telomerase reverse transcriptase (TERT) reconstitutes telomerase activity in the majority of human cancers. Here, we found that ectopic TERT expression increases cell proliferation, while acute reductions in TERT levels lead to a dramatic loss of proliferation without any change in telomere length, suggesting that the effects of TERT could be telomere independent. We observed that TERT determines the growth rate of cancer cells by directly regulating global protein synthesis independently of its catalytic activity. Genome-wide TERT binding across 5 cancer cell lines and 2 embryonic stem cell lines revealed that endogenous TERT, driven by mutant promoters or oncogenes, directly associates with the RNA polymerase III (pol III) subunit RPC32 and enhances its recruitment to chromatin, resulting in increased RNA pol III occupancy and tRNA expression in cancers. TERT-deficient mice displayed marked delays in polyomavirus middle T oncogene-induced (PyMT-induced) mammary tumorigenesis, increased survival, and reductions in tRNA levels. Ectopic expression of either RPC32 or TERT restored tRNA levels and proliferation defects in TERT-depleted cells. Finally, we determined that levels of TERT and tRNA correlated in breast and liver cancer samples. Together, these data suggest the existence of a unifying mechanism by which TERT enhances translation in cells to regulate cancer cell proliferation.
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MESH Headings
- Animals
- Cell Line, Tumor
- Cell Proliferation
- Cell Transformation, Neoplastic/metabolism
- Female
- Gene Expression Regulation, Neoplastic
- HEK293 Cells
- Humans
- Mammary Neoplasms, Experimental/enzymology
- Mammary Neoplasms, Experimental/pathology
- Mice, 129 Strain
- Mice, Inbred C57BL
- Mice, Inbred NOD
- Mice, Knockout
- Mice, SCID
- Neoplasm Transplantation
- Promoter Regions, Genetic
- Protein Binding
- Protein Biosynthesis
- Protein Interaction Domains and Motifs
- RNA Polymerase III/metabolism
- RNA, Transfer/genetics
- RNA, Transfer/metabolism
- Telomerase/physiology
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Wong MT, Ong DEH, Lim FSH, Teng KWW, McGovern N, Narayanan S, Ho WQ, Cerny D, Tan HKK, Anicete R, Tan BK, Lim TKH, Chan CY, Cheow PC, Lee SY, Takano A, Tan EH, Tam JKC, Tan EY, Chan JKY, Fink K, Bertoletti A, Ginhoux F, Curotto de Lafaille MA, Newell EW. A High-Dimensional Atlas of Human T Cell Diversity Reveals Tissue-Specific Trafficking and Cytokine Signatures. Immunity 2016; 45:442-56. [DOI: 10.1016/j.immuni.2016.07.007] [Citation(s) in RCA: 187] [Impact Index Per Article: 23.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/19/2015] [Revised: 05/12/2016] [Accepted: 07/12/2016] [Indexed: 12/21/2022]
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45
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Chan PMY, Choo BA, Zhang T, Seah MDW, Chen JJC, Lu SQH, Tan EY. Mastectomy rates remain high in Singapore and are not associated with poorer survival after adjusting for age. Springerplus 2015; 4:685. [PMID: 26576328 PMCID: PMC4641140 DOI: 10.1186/s40064-015-1460-2] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 10/08/2015] [Accepted: 10/20/2015] [Indexed: 11/21/2022]
Abstract
Recent reports have suggested that women undergoing mastectomy, instead of wide local excision (WLE) for Stage I and II breast cancers have poorer overall survival. This is particularly important in our setting where mastectomy rates are high. In this study, we evaluated the trends in mastectomy and WLE over a 10-year period at a single institute, identified factors more common among women who underwent mastectomy and specifically examined the effect of surgery on outcome. Retrospective review was performed of 2244 women who underwent curative surgery for non-metastatic breast cancer at our institute from 1st January 2001 to 31st December 2010. Mastectomy rates remained high over the 10 years, ranging from 43 to 59 %. Older women, those with symptoms, larger tumours and clinical nodal involvement were more likely to receive mastectomy (P < 0.05). The type of surgery (mastectomy or WLE) did not affect survival in women with ductal carcinoma-in situ, while women with invasive cancer appeared to survive longer when treated with WLE (P < 0.01). Surgery type was not an independent predictor of overall survival and the survival advantage with WLE did not remain after adjusting for age, implying that the effect on survival had been confounded by the fact that older women tended to undergo mastectomy. Mastectomy remains common among our local women, with further studies being needed to evaluate factors involved in decision-making. Older women and those with significant co-morbidities were more likely to undergo mastectomy and this contributed to an apparent survival advantage following WLE.
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Affiliation(s)
- Patrick M Y Chan
- Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Bok Ai Choo
- Department of Radiation Oncology, National University Cancer Institute, Singapore, Singapore
| | - Tianjiao Zhang
- Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Melanie D W Seah
- Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Juliana J C Chen
- Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Sarah Q H Lu
- Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore, 308433 Singapore
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46
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Lee WL, Guo WM, Ho VHB, Saha A, Chong HC, Tan NS, Tan EY, Loo SCJ. Delivery of doxorubicin and paclitaxel from double-layered microparticles: The effects of layer thickness and dual-drug vs. single-drug loading. Acta Biomater 2015; 27:53-65. [PMID: 26340886 DOI: 10.1016/j.actbio.2015.08.051] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2015] [Revised: 08/14/2015] [Accepted: 08/31/2015] [Indexed: 12/23/2022]
Abstract
Double-layered microparticles composed of poly(d,l-lactic-co-glycolic acid, 50:50) (PLGA) and poly(l-lactic acid) (PLLA) were loaded with doxorubicin HCl (DOX) and paclitaxel (PCTX) through a solvent evaporation technique. DOX was localized in the PLGA shell, while PCTX was localized in the PLLA core. The aim of this study was to investigate how altering layer thickness of dual-drug, double-layered microparticles can influence drug release kinetics and their antitumor capabilities, and against single-drug microparticles. PCTX-loaded double-layered microparticles with denser shells retarded the initial release of PCTX, as compared with dual-drug-loaded microparticles. The DOX release from both DOX-loaded and dual-drug-loaded microparticles were observed to be similar with an initial burst. Through specific tailoring of layer thicknesses, a suppressed initial burst of DOX and a sustained co-delivery of two drugs can be achieved over 2months. Viability studies using spheroids of MCF-7 cells showed that controlled co-delivery of PCTX and DOX from dual-drug-loaded double-layered microparticles were better in reducing spheroid growth rate. This study provides mechanistic insights into how by tuning the layer thickness of double-layered microparticles the release kinetics of two drugs can be controlled, and how co-delivery can potentially achieve better anticancer effects. STATEMENT OF SIGNIFICANCE While the release of multiple drugs has been reported to achieve successful apoptosis and minimize drug resistance, most conventional particulate systems can only deliver a single drug at a time. Recently, although a number of formulations (e.g. micellar nanoparticles, liposomes) have been successful in delivering two or more anticancer agents, sustained co-delivery of these agents remains inadequate due to the complex agent loading processes and rapid release of hydrophilic agents. Therefore, the present work reports the multilayered particulate system that simultaneously hosts different drugs, while being able to tune their individual release over months. We believe that our findings would be of interest to the readers of Acta Biomaterialia because the proposed system could open a new avenue on how two drugs can be released, through rate-controlling carriers, for combination chemotherapy.
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Affiliation(s)
- Wei Li Lee
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Wei Mei Guo
- Molecular Engineering Laboratory, A(∗)STAR, Proteos #03-13, 61 Biopolis Drive, Singapore 138673, Singapore
| | - Vincent H B Ho
- Molecular Engineering Laboratory, A(∗)STAR, Proteos #03-13, 61 Biopolis Drive, Singapore 138673, Singapore
| | - Amitaksha Saha
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore
| | - Han Chung Chong
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 637551, Singapore
| | - Nguan Soon Tan
- School of Biological Sciences, Nanyang Technological University, 60 Nanyang Drive, Singapore 637551, Singapore; Institute of Molecular and Cell Biology, A(∗)STAR, 61 Biopolis Drive, Proteos, Singapore 138673, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, 11 Jalan Tan Tock Seng, Singapore 308433, Singapore
| | - Say Chye Joachim Loo
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, Singapore 639798, Singapore; Singapore Centre on Environmental Life Sciences Engineering (SCELSE), Nanyang Technological University, Singapore 637551, Singapore.
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47
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Wee ZN, Yatim SMJM, Kohlbauer VK, Feng M, Goh JY, Bao Y, Yi B, Lee PL, Zhang S, Wang PP, Lim E, Tam WL, Cai Y, Ditzel HJ, Hoon DSB, Tan EY, Yu Q. IRAK1 is a therapeutic target that drives breast cancer metastasis and resistance to paclitaxel. Nat Commun 2015; 6:8746. [PMID: 26503059 PMCID: PMC4640083 DOI: 10.1038/ncomms9746] [Citation(s) in RCA: 103] [Impact Index Per Article: 11.4] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/07/2015] [Accepted: 09/25/2015] [Indexed: 12/18/2022] Open
Abstract
Metastatic tumour recurrence due to failed treatments remains a major challenge of breast cancer clinical management. Here we report that interleukin-1 receptor-associated kinase 1 (IRAK1) is overexpressed in a subset of breast cancers, in particular triple-negative breast cancer (TNBC), where it acts to drive aggressive growth, metastasis and acquired resistance to paclitaxel treatment. We show that IRAK1 overexpression confers TNBC growth advantage through NF-κB-related cytokine secretion and metastatic TNBC cells exhibit gain of IRAK1 dependency, resulting in high susceptibility to genetic and pharmacologic inhibition of IRAK1. Importantly, paclitaxel treatment induces strong IRAK1 phosphorylation, an increase in inflammatory cytokine expression, enrichment of cancer stem cells and acquired resistance to paclitaxel treatment. Pharmacologic inhibition of IRAK1 is able to reverse paclitaxel resistance by triggering massive apoptosis at least in part through inhibiting p38-MCL1 pro-survival pathway. Our study thus demonstrates IRAK1 as a promising therapeutic target for TNBC metastasis and paclitaxel resistance. Triple negative breast cancer (TNBC) patients often acquire resistant to chemotherapy. In this study, the authors identify the IRAK1 as the crucial driver of NF-κB-related cytokine secretion involved in TNBC metastasis and therapy resistance.
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Affiliation(s)
- Zhen Ning Wee
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Siti Maryam J M Yatim
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Vera K Kohlbauer
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Min Feng
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Jian Yuan Goh
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Yi Bao
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Bao Yi
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Puay Leng Lee
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Songjing Zhang
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore
| | - Pan Pan Wang
- First Affiliated Hospital, Jinan University, Guangzhou 510632, China.,Cancer Research Institute, Jinan University, Guangzhou 510632, China
| | - Elgene Lim
- The Kinghorn Cancer Center, Garvan Institute of Medical Research, 384 Victoria Street, Darlinghurst, Sydney, New South Wales 2010, Australia
| | - Wai Leong Tam
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore.,Cancer Science Institute, National University of Singapore, Singapore 117599, Singapore
| | - Yu Cai
- Cancer Research Institute, Jinan University, Guangzhou 510632, China.,School of Pharmacy, Jinan University, Guangzhou 510632, China
| | - Henrik J Ditzel
- Department of Cancer and Inflammation Research, Institute of Molecular Medicine, University of Southern Denmark, Odense 5000, Denmark.,Department of Oncology, Odense University Hospital, Odense 5000, Denmark
| | - Dave S B Hoon
- Department of Molecular Oncology, John Wayne Cancer Institute, Santa Monica, California 90404, USA
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore 308433, Singapore
| | - Qiang Yu
- Cancer Therapeutics and Stratified Oncology, Genome Institute of Singapore, A*STAR (Agency for Science, Technology and Research), 60 Biopolis Street, 02-01, Biopolis 138672, Singapore.,Cancer Research Institute, Jinan University, Guangzhou 510632, China.,Department of Physiology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore.,Cancer and Stem Cell Biology, DUKE-NUS Graduate Medical School of Singapore, Singapore 169857, Singapore
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48
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Cerny D, Haniffa M, Shin A, Bigliardi P, Tan BK, Lee B, Poidinger M, Tan EY, Ginhoux F, Fink K. Selective susceptibility of human skin antigen presenting cells to productive dengue virus infection. PLoS Pathog 2014; 10:e1004548. [PMID: 25474532 PMCID: PMC4256468 DOI: 10.1371/journal.ppat.1004548] [Citation(s) in RCA: 68] [Impact Index Per Article: 6.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [MESH Headings] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/30/2014] [Accepted: 11/01/2014] [Indexed: 12/11/2022] Open
Abstract
Dengue is a growing global concern with 390 million people infected each year. Dengue virus (DENV) is transmitted by mosquitoes, thus host cells in the skin are the first point of contact with the virus. Human skin contains several populations of antigen-presenting cells which could drive the immune response to DENV in vivo: epidermal Langerhans cells (LCs), three populations of dermal dendritic cells (DCs), and macrophages. Using samples of normal human skin we detected productive infection of CD14+ and CD1c+ DCs, LCs and dermal macrophages, which was independent of DC-SIGN expression. LCs produced the highest viral titers and were less sensitive to IFN-β. Nanostring gene expression data showed significant up-regulation of IFN-β, STAT-1 and CCL5 upon viral exposure in susceptible DC populations. In mice infected intra-dermally with DENV we detected parallel populations of infected DCs originating from the dermis and migrating to the skin-draining lymph nodes. Therefore dermal DCs may simultaneously facilitate systemic spread of DENV and initiate the adaptive anti-viral immune response. Dengue virus (DENV) is transmitted by mosquitoes with skin as point of entry for the virus. Here, we investigated DENV infection in primary human skin cells and their initial immune response. Using skin from normal human donors for infection with DENV in vitro we identified antigen-presenting cells (APCs) as main targets of DENV. Further analysis showed that only distinct subsets of dendritic cells (DCs) and macrophages were infected and efficiently produced viral progeny. Langerhans cells were most susceptible to infection despite lacking DC-SIGN, a previously described DENV receptor. Infection of the other DC subsets and macrophages was also independent of DC-SIGN expression. Genes of the interferon pathway and CCL5, a chemokine attracting immune cells to sites of inflammation, were highly up-regulated in the infected DC subsets. Using a mouse infection model, we showed that murine dermal DCs were also susceptible to DENV and migrated to draining lymph nodes. At the same time infiltrating monocytes differentiated into monocyte-derived cells at the site of infection and became an additional target for DENV in vivo. These data demonstrate that DENV differentially infects and activates primary human skin APCs and that infected cell types individually contribute to inflammation and the adaptive response.
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Affiliation(s)
- Daniela Cerny
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
- School of Biological Sciences, Nanyang Technological University, Singapore
| | - Muzlifah Haniffa
- Institute of Cellular Medicine, Newcastle University, Newcastle upon Tyne, United Kingdom
| | - Amanda Shin
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Paul Bigliardi
- Institute of Molecular Biology, Agency for Science, Technology and Research, Singapore
- Division of Rheumatology, University Medicine Cluster, National University Health System, Singapore
| | - Bien Keem Tan
- Department of Plastic Surgery, Singapore General Hospital, Singapore
| | - Bernett Lee
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Michael Poidinger
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Ern Yu Tan
- Department of General Surgery, Tan Tock Seng Hospital, Singapore
| | - Florent Ginhoux
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
| | - Katja Fink
- Singapore Immunology Network, Agency for Science, Technology and Research, Singapore
- * E-mail:
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49
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Feng M, Bao Y, Li Z, Li J, Gong M, Lam S, Wang J, Marzese DM, Donovan N, Tan EY, Hoon DSB, Yu Q. RASAL2 activates RAC1 to promote triple-negative breast cancer progression. J Clin Invest 2014; 124:5291-304. [PMID: 25384218 DOI: 10.1172/jci76711] [Citation(s) in RCA: 66] [Impact Index Per Article: 6.6] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/21/2014] [Accepted: 10/14/2014] [Indexed: 12/17/2022] Open
Abstract
Patients with triple-negative breast cancer (TNBC) have a high incidence of early relapse and metastasis; however, the molecular basis for recurrence in these individuals remains poorly understood. Here, we demonstrate that RASAL2, which encodes a RAS-GTPase-activating protein (RAS-GAP), is a functional target of anti-invasive microRNA-203 and is overexpressed in a subset of triple-negative or estrogen receptor-negative (ER-negative) breast tumors. As opposed to luminal B ER-positive breast cancers, in which RASAL2 has been shown to act as a RAS-GAP tumor suppressor, we found that RASAL2 is oncogenic in TNBC and drives mesenchymal invasion and metastasis. Moreover, high RASAL2 expression was predictive of poor disease outcomes in patients with TNBC. RASAL2 acted independently of its RAS-GAP catalytic activity in TNBC; however, RASAL2 promoted small GTPase RAC1 signaling, which promotes mesenchymal invasion, through binding and antagonizing the RAC1-GAP protein ARHGAP24. Together, these results indicate that activation of a RASAL2/ARHGAP24/RAC1 module contributes to TNBC tumorigenesis and identify a context-dependent role of RASAL2 in breast cancer.
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50
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Lee WL, Guo WM, Ho VHB, Saha A, Chong HC, Tan NS, Widjaja E, Tan EY, Loo SCJ. Inhibition of 3-D tumor spheroids by timed-released hydrophilic and hydrophobic drugs from multilayered polymeric microparticles. Small 2014; 10:3986-3996. [PMID: 24947558 DOI: 10.1002/smll.201400536] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 02/26/2014] [Indexed: 06/03/2023]
Abstract
First-line cancer chemotherapy necessitates high parenteral dosage and repeated dosing of a combination of drugs over a prolonged period. Current commercially available chemotherapeutic agents, such as Doxil and Taxol, are only capable of delivering single drug in a bolus dose. The aim of this study is to develop dual-drug-loaded, multilayered microparticles and to investigate their antitumor efficacy compared with single-drug-loaded particles. Results show hydrophilic doxorubicin HCl (DOX) and hydrophobic paclitaxel (PTX) localized in the poly(dl-lactic-co-glycolic acid, 50:50) (PLGA) shell and in the poly(l-lactic acid) (PLLA) core, respectively. The introduction of poly[(1,6-bis-carboxyphenoxy) hexane] (PCPH) into PLGA/PLLA microparticles causes PTX to be localized in the PLLA and PCPH mid-layers, whereas DOX is found in both the PLGA shell and core. PLGA/PLLA/PCPH microparticles with denser shells allow better control of DOX release. A delayed release of PTX is observed with the addition of PCPH. Three-dimensional MCF-7 spheroid studies demonstrate that controlled co-delivery of DOX and PTX from multilayered microparticles produces a greater reduction in spheroid growth rate compared with single-drug-loaded particles. This study provides mechanistic insights into how distinctive structure of multilayered microparticles can be designed to modulate the release profiles of anticancer drugs, and how co-delivery can potentially provide better antitumor response.
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Affiliation(s)
- Wei Li Lee
- School of Materials Science and Engineering, Nanyang Technological University, 50 Nanyang Avenue, 639798, Singapore
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