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Thike AA, Chen X, Koh VCY, Binte Md Nasir ND, Yeong JPS, Bay BH, Tan PH. Higher densities of tumour-infiltrating lymphocytes and CD4 + T cells predict recurrence and progression of ductal carcinoma in situ of the breast. Histopathology 2021; 76:852-864. [PMID: 31883279 DOI: 10.1111/his.14055] [Citation(s) in RCA: 20] [Impact Index Per Article: 6.7] [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: 06/13/2019] [Revised: 12/14/2019] [Accepted: 12/24/2019] [Indexed: 12/13/2022]
Abstract
AIMS Host immunity influences cancer progression and therapeutic response. We investigated the potential of tumour-infiltrating lymphocytes (TILs) around ductal carcinoma in situ (DCIS) in predicting recurrence and progression. METHODS AND RESULTS CD4, CD8, programmed cell death 1 (PD-1) and programmed cell death ligand 1 (PD-L1) expression in DCIS from 198 patients was determined by immunohistochemistry. We correlated disease-free survival (DFS), clinicopathological parameters and biomarker expression with TIL density and CD4/CD8 ratio. High TIL density was associated with high nuclear grade (P < 0.001), DCIS PD-L1 expression (P = 0.008), TIL PD-L1 expression (P < 0.001), oestrogen (ER) negativity (P < 0.001), progesterone (PR) negativity (P < 0.001), human epidermal growth factor receptor 2 (HER2) positivity (P = 0.002) and triple negativity (P = 0.001). TIL PD-L1 expression was associated with triple-negative DCIS (P = 0.028). TIL density was associated with molecular subtypes (P < 0.001). High CD4+ T cell density was associated with high nuclear grade (P = 0.001), microinvasion (P = 0.037), ER negativity (P < 0.001), PR negativity (P = 0.001), HER2 positivity (P = 0.004), triple negativity (P = 0.023) and PD-L1 expression in TILs (P < 0.011). High CD4/CD8 ratio was associated with PD-L1 expression in DCIS (P = 0.035) and TILs (P < 0.001). DCIS with higher TIL density disclosed worse DFS (P = 0.012) and was affirmed with multivariate analysis [95% confidence interval (CI) = 1.109-2.554, hazard ratio (HR) = 1.683, P = 0.014]. Poorer DFS for ipsilateral invasive recurrence was found for DCIS with higher CD4+ T cell density (P = 0.006) or CD4/CD8 ratio (P = 0.02), confirmed by multivariate analysis for the former (95% CI = 1.369-10.196, HR = 3.736, P = 0.01) and latter (95% CI = 1.311-7.935, HR = 3.225, P = 0.011). CONCLUSION DCIS with higher TIL density was associated with poorer prognostic parameters and predicted recurrence, while both CD4+ T cell density and CD4/CD8 ratio were associated with both recurrence and ipsilateral invasive recurrence.
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Affiliation(s)
- Aye Aye Thike
- Department of Anatomical Pathology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore
| | - Xiaoyang Chen
- Department of Anatomical Pathology, Singapore General Hospital, Singapore.,Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | | | | | - Joe P S Yeong
- Department of Anatomical Pathology, Singapore General Hospital, Singapore.,Institute of Molecular and Cell Biology, A*STAR, Singapore
| | - Boon Huat Bay
- Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore
| | - Puay Hoon Tan
- Department of Anatomical Pathology, Singapore General Hospital, Singapore.,Duke-NUS Medical School, Singapore.,Department of Anatomy, Yong Loo Lin School of Medicine, National University of Singapore, Singapore.,Division of Pathology, Singapore General Hospital, Singapore
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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: 11] [Impact Index Per Article: 2.2] [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: 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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