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A novel genomic panel as an adjunctive diagnostic tool for the characterization and profiling of breast Fibroepithelial lesions.
Sim, Yirong; Ng, Gwendolene Xin Pei; Ng, Cedric Chuan Young; Rajasegaran, Vikneswari; Wong, Suet Far; Liu, Wei; Guan, Peiyong; Nagarajan, Sanjanaa; Ng, Wai Yee; Thike, Aye Aye; Lim, Jeffrey Chun Tatt; Nasir, Nur Diyana Binte Md; Tan, Veronique Kiak Mien; Madhukumar, Preetha; Yong, Wei Sean; Wong, Chow Yin; Tan, Benita Kiat Tee; Ong, Kong Wee; Teh, Bin Tean; Tan, Puay Hoon.
Afiliación
  • Sim Y; Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore. sim.yirong@singhealth.com.sg.
  • Ng GXP; SingHealth Duke-NUS Breast Centre, Singapore General Hospital, Singapore, Singapore. sim.yirong@singhealth.com.sg.
  • Ng CCY; Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
  • Rajasegaran V; Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.
  • Wong SF; Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore.
  • Liu W; Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.
  • Guan P; Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore.
  • Nagarajan S; Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.
  • Ng WY; Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore.
  • Thike AA; Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.
  • Lim JCT; Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore.
  • Nasir NDBM; Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.
  • Tan VKM; Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore.
  • Madhukumar P; Integrated Biostatistics and Bioinformatics Program, Duke-NUS Medical School, Singapore, Singapore.
  • Yong WS; Integrated Genomics Platform, National Cancer Centre Singapore, Singapore, Singapore.
  • Wong CY; Laboratory of Cancer Epigenome, National Cancer Centre Singapore, Singapore, Singapore.
  • Tan BKT; Division of Surgical Oncology, National Cancer Centre Singapore, Singapore, Singapore.
  • Ong KW; Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore.
  • Teh BT; Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore.
  • Tan PH; Department of Anatomical Pathology, Singapore General Hospital, Singapore, Singapore.
BMC Med Genomics ; 12(1): 142, 2019 10 23.
Article en En | MEDLINE | ID: mdl-31647027
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Fibroadenoma / Genómica Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Neoplasias de la Mama / Fibroadenoma / Genómica Tipo de estudio: Diagnostic_studies / Prognostic_studies / Risk_factors_studies Límite: Adult / Female / Humans / Middle aged Idioma: En Revista: BMC Med Genomics Asunto de la revista: GENETICA MEDICA Año: 2019 Tipo del documento: Article País de afiliación: Singapur Pais de publicación: Reino Unido