Background: Application of game-based learning in clinical practice has shown potential advantages in

Objective: Fine needle aspiration cytology (FNAC) is recommended by the World Health Organization as a diagnostic method for breast lesions. The morphological interpretation of liquid-based preparations (LBPs) remains a diagnostic challenge due to considerably altered cytomorphology. The aim of the current study was to compare cytomorphological characteristics of SurePath® (SP)-based LBP and conventional smear (CS) in breast FNACs. Study Design: The study included 77 benign and 60 malignant breast FNACs obtained by both SP and CS, all with tissue confirmation. Cases analyzed with both preparations were reviewed and compared, focusing on 10 cytomorphological features. Results: SP aspirates demonstrated notable cytomorphological alterations. Among them, a prominent three-dimensional configuration of cell clusters and frequent and conspicuous nucleoli were the most prominent characteristics of SP compared with CS. Overall diagnostic performances were comparable but were slightly lower for SP than CS (diagnostic accuracy of two reviewers; 87.6 and 90.5% for SP vs. 91.2 and 92.7% for CS, respectively). Conclusion: Although the reviewer should be aware of distinctive cytomorphological alterations, the SP technique is reliable for the evaluation of breast lesions with the advantage of easy interpretation and a diagnostic accuracy equivalent to CS.

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Although BCL2 has occasionally been suggested as a candidate prognostic factor for breast cancer, it is still not accepted as a prognostic factor. We attempted to validate the role of BCL2 as a prognostic factor of breast cancer. Data on 7,230 primary breast cancer patients from the Seoul National University Hospital Breast Care Center were analyzed. Three current prognostic models, including the St. Gallen model, the Nottingham prognostic index (NPI) model and the TNM model, were used for analysis of the prognostic influence of BCL2. The positive BCL2 group showed more favorable features with regard to clinicopathologic parameters than the BCL2 negative group and a strong correlation was observed between BCL2 and the hormonal receptor. The positive BCL2 group showed better prognosis in overall survival and disease free survival (log-rank test, both p < 0.001), even in all subgroups, than the BCL2 negative group. BCL2 was a significant prognostic factor in both univariate (hazard ratio [HR], 0.361; 95% confidence interval (CI), 0.306-0.426; p < 0.001) and multivariate analyses (HR, 0.417; 95% CI, 0.417-0.705; p < 0.001). BCL2 had a strong influence on the established prognostic models, including the St. Gallen model, the NPI model and the TNM model. BCL2 was a powerful independent prognostic factor for breast cancer and had a strong influence on the current prognostic models. Favorable clinicopathologic features and a strong correlation with the hormonal receptor are suggested as the causes of superior survival in patients with BCL2 positive breast cancer.BCL2 has occasionally been suggested as a candidate prognostic factor for breast cancer; however, in general, it is still not accepted as a prognostic factor.1 Although most previously reported papers have suggested the possibility of BCL2 as a prognostic factor for breast cancer, the results were not consistent, but conflicting. Some papers have reported that by multivariate analysis BCL2 was found to be a statistically significant independent factor 2-6 ; however, other papers have reported that by survival analysis BCL2 was not found to be a statistically significant prognostic factor. 7-9 Furthermore, other papers have reported that BCL2 was significant by univariate analysis but not by multivariate analysis.10 Two papers reported that by meta-analysis BCL2 was found to be a statistically significant independent factor in breast cancer prognostication. 11,12The general acceptance of BCL2 as a prognostic factor has in part been impeded by a lack of robustness of the original research findings. A small number of papers could not provide sufficient evidence, and, due to small numbers of enrolled patients, statistical powers were too weak to show independence of influences in multivariate analyses. Furthermore, many prognostic factors are correlated and small studies have limited statistical power, especially in subgroup analyses. For these reasons, large scaled clinical studies are needed to validate the possibilities of BCL2 as a prognosticator for breast can...

PurposeThe expression of Annexin A1 (ANXA1) is known to be reduced in human breast cancer; however, the role of ANXA1 expression in the development of breast cancer remains unclear. In this study, we determined the relationship between the expression features of ANXA1 and the prognostic factors of breast cancer.MethodsHuman breast tissues were obtained from patients specimens who had undergone breast surgery or core needle biopsies. The patterns of ANXA1 expression were analyzed by immunohistochemical staining in relation to histopathological diagnosis, clinical characteristics and outcomes.ResultsOne hundred eighty-two cases were included and the mean age of the patients was 46.34 ± 11.5 years. A significant loss of ANXA1 expression was noted in both ductal carcinoma in situ (DCIS) and invasive carcinomas compared to normal breast tissues (p<0.001) and benign breast diseases (p<0.001). There was a significant alteration in ANXA1 expression according to hormone receptor status (p<0.001), cancer intrinsic type (p<0.001), and nuclear grade (p=0.004) in invasive cancer. In a univariate analysis, ANXA1 positivity tended to be related with poor breast cancer-related survival (p=0.062); however, the same results was not realized in multivariate results (p=0.406). HER2 overexpression and TNM staging were significantly associated with relapse-free survivals (RFS) in the multivariate analysis (p=0.037, p=0.048, respectively). In particular, in node-positive patients (p=0.048), HER2 overexpressed patients (p=0.013), and non-triple negative breast cancer patients (p=0.002), ANXA1 overexpression was correlated with poor RFS.ConclusionAlthough significant loss of ANXA1 expression was noted in breast cancer including DCIS and invasive carcinoma, in cases of invasive cancer, overexpression of ANXA1 was related to unfavorable prognostic factors. And these results imply that ANXA1 plays dualistic roles and is involved in variable mechanisms related to cancer development and progression.

PurposeHereditary cancer syndrome means that inherited genetic mutations can increase a person's risk of developing cancer. We assessed the frequency of germline mutations using an nextgeneration sequencing (NGS)–based multiple-gene panel containing 64 cancer-predisposing genes in Korean breast cancer patients with clinical features of hereditary breast and ovarian cancer syndrome (HBOC).Materials and MethodsA total of 64 genes associated with hereditary cancer syndrome were selected for development of an NGS-based multi-gene panel. Targeted sequencing using the multi-gene panel was performed to identify germline mutations in 496 breast cancer patients with clinical features of HBOC who underwent breast cancer surgery between January 2002 and December 2017.ResultsOf 496 patients, 95 patients (19.2%) were found to have 48 deleterious germline mutations in 16 cancer susceptibility genes. The deleterious mutations were found in 39 of 250 patients (15.6%) who had breast cancer and another primary cancer, 38 of 169 patients (22.5%) who had a family history of breast cancer (≥ 2 relatives), 16 of 57 patients (28.1%) who had bilateral breast cancer, and 29 of 84 patients (34.5%) who were diagnosed with breast cancer at younger than 40 years of age. Of the 95 patients with deleterious mutations, 60 patients (63.2%) had <i>BRCA1/2</i> mutations and 38 patients (40.0%) had non-<i>BRCA1/2</i> mutations. We detected two novel deleterious mutations in <i>BRCA2</i> and <i>MLH1</i>.ConclusionNGS-based multiple-gene panel testing improved the detection rates of deleterious mutations and provided a cost-effective cancer risk assessment.

Young breast cancer patients are more likely than old patients to experience ipsilateral breast tumor recurrence (IBTR) after breast conserving surgery (BCS). However, the pathological processes underlying this relationship have not been elucidated. We investigated the effect of young age on IBTR in a Korean cohort of women with different molecular subtypes of breast cancer. We analyzed data of 2,102 consecutive breast cancer patients who underwent BCS and post-surgical radiation therapy (RT) at two Korean institutions between 2000 and 2005. Patients were classified as young (≤ 40 years; N = 513) or old (> 40 years; N = 1,589). Breast cancer subtype was determined by estrogen receptor (ER), progesterone receptor (PR), and HER2. Median follow-up duration was 61 months. The 5-year IBTR rate was 3.4% in young patients and 1.1% in old patients (P < 0.001). Univariate analysis indicated that IBTR rate in young patients with luminal A and HER2 subtypes was significantly greater than in old patients with these subtypes (P = 0.015 and P < 0.001, respectively). Multivariate analysis, which used luminal A subtype in old patients as reference, indicated that HER2 subtype in young patients was associated with increased risk of IBTR (hazard ratio, HR = 12.24; 95% CI: 2.54-57.96). Among old patients, HER2 subtype was not associated with increased IBTR. In conclusion, young women had a higher rate of IBTR after BCS and RT than old women. This difference is mainly among women with HER2 subtype. Aggressive local control and adjuvant therapy should be considered for young women with HER2 subtype breast cancer.

BCT after NCT appears to be an oncologically safe procedure for a large percentage of patients with breast cancer. Two easy-to-use clinical scores were developed that can help clinicians to identify patients at higher risk of LR and LRR after NCT and BCT and individualize the postoperative treatment plan and follow-up. Cancer 2018;124:2923-30. © 2018 American Cancer Society.