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Tan PH. Refining the classification of breast phyllodes tumours. Pathology 2023; 55:437-448. [PMID: 37085395 DOI: 10.1016/j.pathol.2023.02.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/17/2023] [Accepted: 02/05/2023] [Indexed: 04/23/2023]
Abstract
Phyllodes tumours of the breast are uncommon fibroepithelial neoplasms that pose recurrent classification challenges, in large part due to the multiple histological parameters of stromal hypercellularity and atypia, stromal mitotic count, stromal overgrowth and tumour borders, that are used for grading. While the World Health Organization (WHO) Classification of Breast Tumours provides recommendations on diagnostic features, defining criteria are not always applied in routine practice. Lack of concordance among pathologists in typing and grading further underscores the classification difficulties, especially in the borderline category. Although there has been significant molecular information on phyllodes tumours in recent years which has been diagnostically helpful, it has not been translated into daily clinical practice. In order to refine the classification of phyllodes tumours into one that is simple yet comprehensive, reproducible and prognostically precise, a multipronged approach is needed that leverages on global contributions of the International Fibroepithelial Consortium, support by the International Collaboration on Cancer Classification and Research (IC3 R) in amalgamating evidence translation, and guidance from the International Collaboration on Cancer Reporting (ICCR) for standardised reporting. It is hoped that the evidence generated can be used towards refining the classification of phyllodes tumours for the future.
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Affiliation(s)
- Puay Hoon Tan
- Luma Medical Centre, Singapore; KK Women's and Children's Hospital, Singapore; Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore; Department of Pathology, University of Western Sydney, Sydney, NSW, Australia.
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Ng CCY, Lim S, Lim AH, Md Nasir ND, Zhang J, Rajasegaran V, Lee JY, Kok JST, Thike AA, Lim JX, Weng R, Yee S, Choudhury Y, Chan JY, Tan PH, Tan MH, Teh BT. A comprehensive next generation sequencing tissue assay for Asian-prevalent cancers—Analytical validation and performance evaluation with clinical samples. Front Mol Biosci 2022; 9:963243. [PMID: 36213130 PMCID: PMC9532579 DOI: 10.3389/fmolb.2022.963243] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/07/2022] [Accepted: 09/06/2022] [Indexed: 11/13/2022] Open
Abstract
Introduction: A well-validated diagnostic assay with curated biomarkers complements clinicopathological factors to facilitate early diagnosis and ensure timely treatment delivery. This study focuses on an Asian-centric cancer diagnostic assay designed and thoroughly validated against commercially available standard references and a cohort of over 200 clinical specimens spanning 12 diverse Asian-centric cancer types. Methods: The assay uses hybrid-capture probes capable of profiling DNA aberrations from 572 cancer-related genes and 91 RNA fusion partners. The panel can detect clinically-tractable biomarkers such as microsatellite instability (MSI) and tumor mutation burden (TMB). Results: Analytical evaluation demonstrated 100% specificity and 99.9% sensitivity within a ≥5% VAF limit of detection (LoD) for SNV/Indels. RNA-based fusion features an LoD of ≥5 copies per nanogram input when evaluated against commercial references. Excellent linearity and concordance were observed when benchmarking against orthogonal methods in identifying MSI status, TMB scores and RNA fusions. Actionable genetic alterations were identified in 65% of the clinical samples. Conclusion: These results demonstrate a molecular diagnostic assay that accurately detects genomic alterations and complex biomarkers. The data also supports an excellent performance of this assay for making critical diagnoses and well-informed therapeutic decisions in Asian prevalent cancers.
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Affiliation(s)
- Cedric Chuan-Young Ng
- Cancer Discovery Hub, National Cancer Centre Singapore, Singapore, Singapore
- Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Sandy Lim
- Diagnostics Development Hub (DxD Hub), A National Platform Hosted by A*STAR, Singapore, Singapore
| | - Abner Herbert Lim
- Cancer Discovery Hub, National Cancer Centre Singapore, Singapore, Singapore
- Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Nur Diyana Md Nasir
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore
| | - Jingxian Zhang
- Diagnostics Development Hub (DxD Hub), A National Platform Hosted by A*STAR, Singapore, Singapore
| | - Vikneswari Rajasegaran
- Cancer Discovery Hub, National Cancer Centre Singapore, Singapore, Singapore
- Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Jing Yi Lee
- Cancer Discovery Hub, National Cancer Centre Singapore, Singapore, Singapore
- Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Jessica Sook Ting Kok
- Cancer Discovery Hub, National Cancer Centre Singapore, Singapore, Singapore
- Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Aye Aye Thike
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore
| | | | - Ruifen Weng
- Diagnostics Development Hub (DxD Hub), A National Platform Hosted by A*STAR, Singapore, Singapore
| | - Sidney Yee
- Diagnostics Development Hub (DxD Hub), A National Platform Hosted by A*STAR, Singapore, Singapore
| | | | - Jason Yongsheng Chan
- Cancer Discovery Hub, National Cancer Centre Singapore, Singapore, Singapore
- Division of Medical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Puay Hoon Tan
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore
- Division of Pathology, Singapore General Hospital, Singapore, Singapore
| | - Min-Han Tan
- Lucence Diagnostics Pte Ltd, Singapore, Singapore
- *Correspondence: Bin Tean Teh, ; Min-Han Tan,
| | - Bin Tean Teh
- Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
- *Correspondence: Bin Tean Teh, ; Min-Han Tan,
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Lerwill MF, Lee AHS, Tan PH. Fibroepithelial tumours of the breast-a review. Virchows Arch 2021; 480:45-63. [PMID: 34505197 DOI: 10.1007/s00428-021-03175-6] [Citation(s) in RCA: 8] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/01/2021] [Revised: 07/08/2021] [Accepted: 07/25/2021] [Indexed: 12/24/2022]
Abstract
Fibroepithelial tumours of the breast are biphasic neoplasms composed of both epithelial and stromal elements, including the common fibroadenoma and the infrequent phyllodes tumour. The admixture of epithelium and stroma in the fibroadenoma shows intra- and pericanalicular patterns, and may display a variety of histological changes. Fibroadenoma variants include the cellular, juvenile, myxoid and complex forms. The cellular fibroadenoma may be difficult to distinguish from the benign phyllodes tumour. Stromal mitotic activity can be increased in fibroadenomas in the young and pregnant patients. Phyllodes tumours, neoplasms with the potential for recurrence, show an exaggerated intracanalicular growth pattern with broad stromal fronded architecture and stromal hypercellularity. They are graded into benign, borderline and malignant forms based on histological assessment of stromal features of hypercellularity, atypia, mitotic activity, overgrowth and the nature of the tumour borders. Classification of phyllodes tumours is imperfect, compounded by tumour heterogeneity with overlapping microscopic features among the different grades, especially in the borderline category. Malignant phyllodes tumours can metastasise and cause death. Determining which phyllodes tumours may behave aggressively has been difficult. The discovery of MED12 mutations in the pathogenesis of fibroepithelial tumours, together with other gene abnormalities in the progression pathway, has allowed refinements in diagnosis and prognosis.
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Affiliation(s)
- Melinda F Lerwill
- Department of Pathology, Massachusetts General Hospital, Boston, MA, USA
| | - Andrew H S Lee
- Department of Histopathology, Nottingham University Hospitals, Nottingham, UK
| | - Puay Hoon Tan
- Division of Pathology, Singapore General Hospital, Singapore, Singapore.
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Chang HY, Koh VCY, Md Nasir ND, Ng CCY, Guan P, Thike AA, Teh BT, Tan PH. MED12, TERT and RARA in fibroepithelial tumours of the breast. J Clin Pathol 2019; 73:51-56. [DOI: 10.1136/jclinpath-2019-206208] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/08/2019] [Revised: 10/10/2019] [Accepted: 10/11/2019] [Indexed: 12/13/2022]
Abstract
Fibroepithelial tumours are biphasic neoplasms of the breast comprising the common benign fibroadenomas and the less common phyllodes tumours (PTs), which have recurrent potential. PTs are classified into benign, borderline or malignant, based on five histopathological criteria, with malignant PTs having the highest metastatic capability. Accurate diagnosis can be challenging due to the subjective assessment of histopathological parameters. Fibroadenomas bear morphological similarities to benign PTs, while borderline and malignant PTs can sometimes be difficult to distinguish from other spindle cell tumours of the breast. From clonality studies to whole-genome sequencing, much research has been conducted to elucidate the molecular pathogenesis of fibroepithelial tumours, which, in turn, have allowed leveraging the findings for diagnostic applications, including grading of PTs. The most noteworthy discovery was of recurrent MED12 mutations in both fibroadenomas and PTs. Subsequent studies also uncovered relatively frequent genetic mutations in TERT promoter and RARA. A customised panel of 16 most frequently mutated genes in fibroepithelial tissues has been compiled previously and has contributed to resolving a few diagnostic dilemmas. This review will introduce the 16 genes and focus on the top three that are most frequently mutated in fibroepithelial tumours: MED12, TERT, and RARA.
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Sim Y, Ng GXP, Ng CCY, Rajasegaran V, Wong SF, Liu W, Guan P, Nagarajan S, Ng WY, Thike AA, Lim JCT, Nasir NDBM, Tan VKM, Madhukumar P, Yong WS, Wong CY, Tan BKT, Ong KW, Teh BT, Tan PH. A novel genomic panel as an adjunctive diagnostic tool for the characterization and profiling of breast Fibroepithelial lesions. BMC Med Genomics 2019; 12:142. [PMID: 31647027 PMCID: PMC6813086 DOI: 10.1186/s12920-019-0588-2] [Citation(s) in RCA: 17] [Impact Index Per Article: 3.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/10/2019] [Accepted: 09/23/2019] [Indexed: 02/08/2023] Open
Abstract
Background Known collectively as breast fibroepithelial lesions (FELs), the common fibroadenomas (FAs) and the rarer phyllodes tumors (PTs) are a heterogenous group of biphasic neoplasms. Owing to limited tissue availability, inter-observer variability, overlapping histological features and heterogeneity of these lesions, diagnosing them accurately on core biopsies is challenging. As the choice management option depends on the histological diagnosis; a novel 16-gene panel assay was developed to improve the accuracy of preoperative diagnosis on core biopsy specimens. Methods Using this 16-gene panel, targeted amplicon-based sequencing was performed on 275 formalin-fixed, paraffin-embedded (FFPE) breast FEL specimens, archived at the Singapore General Hospital, from 2008 to 2012. Results In total, 167 FAs, 24 benign, 14 borderline and 6 malignant PTs, were profiled. Compared to FAs, PTs had significantly higher mutation rates in the TERT promoter (p < 0.001), RARA (p < 0.001), FLNA, RB1 and TP53 (p = 0.002, 0.020 and 0.018, respectively). In addition to a higher mutational count (p < 0.001), TERT promoter (p < 0.001), frameshift, nonsense and splice site (p = 0.001, < 0.001 and 0.043, respectively) mutations were also frequently observed in PTs. A multivariate logistic regression model was built using these as variables and a predictive scoring system was developed. It classifies a FEL at low or high risk (score < 1 and ≥ 1, respectively) of being a PT. This scoring system has good discrimination (ROC area = 0.773, 95% CI: 0.70 to 0.85), calibration (p = 0.945) and is significant in predicting PTs (p < 0.001). Conclusion This novel study demonstrates the ability to extract DNA of sufficient quality and quantity for targeted sequencing from FFPE breast core biopsy specimens, along with their successful characterization and profiling using our customized 16-gene panel. Prospective work includes validating the utility of this promising 16-gene panel assay as an adjunctive diagnostic tool in clinical practice.
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Affiliation(s)
- Yirong Sim
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore. .,SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Singapore, Singapore.
| | - Gwendolene Xin Pei Ng
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore.,Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.,Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Cedric Chuan Young Ng
- Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.,Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Vikneswari Rajasegaran
- Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.,Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Suet Far Wong
- Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.,Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Wei Liu
- Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.,Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Peiyong Guan
- Integrated Biostatistics and Bioinformatics Program, Duke-NUS Medical School, Singapore, Singapore
| | - Sanjanaa Nagarajan
- Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.,Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore
| | - Wai Yee Ng
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore
| | - Aye Aye Thike
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore
| | - Jeffrey Chun Tatt Lim
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore
| | | | - Veronique Kiak Mien Tan
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore.,SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Singapore, Singapore
| | - Preetha Madhukumar
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore.,SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Singapore, Singapore
| | - Wei Sean Yong
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore.,SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Singapore, Singapore
| | - Chow Yin Wong
- SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Singapore, Singapore
| | - Benita Kiat Tee Tan
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore.,SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Singapore, Singapore
| | - Kong Wee Ong
- Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore.,SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Singapore, Singapore
| | - Bin Tean Teh
- Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore.,Duke-NUS Medical School, Singapore, Singapore
| | - Puay Hoon Tan
- Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore.,Division of Pathology, Singapore General Hospital, Singapore, Singapore
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Md Nasir ND, Ng CCY, Rajasegaran V, Wong SF, Liu W, Ng GXP, Lee JY, Guan P, Lim JQ, Thike AA, Koh VCY, Loke BN, Chang KTE, Gudi MA, Lian DWQ, Madhukumar P, Tan BKT, Tan VKM, Wong CY, Yong WS, Ho GH, Ong KW, Tan P, Teh BT, Tan PH, Rahman NA, Nahar Begum SMK, Cheah PL, Chen CJ, Dela Fuente E, Han A, Harada O, Kanomata N, Lee CS, Han Lee JY, Kamal M, Nishimura R, Ohi Y, Sawyer EJ, Teoh KH, Tsang AKH, Tsang JY, Tse GMK, Yamaguchi R. Genomic characterisation of breast fibroepithelial lesions in an international cohort. J Pathol 2019; 249:447-460. [DOI: 10.1002/path.5333] [Citation(s) in RCA: 22] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/02/2019] [Revised: 07/11/2019] [Accepted: 08/01/2019] [Indexed: 12/31/2022]
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