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자료유형
학술저널
저자정보
최지은 (독립연구자) Chang Lim Hyun (Department of Pathology Jeju National University Hospital Jeju Korea) Min-Sun Jin (Department of Pathology Bucheon St. Mary's Hospital College of Medicine The Catholic University o) Kyung-min Lee (Department of Pathology Seoul National University Hospital Seoul National University College of Me) Ji Hye Moon (Department of Pathology Seoul National University Hospital Seoul National University College of Me) Han Suk Ryu (Department of Pathology Seoul National University Hospital Seoul National University College of Me)
저널정보
한국유방암학회 Journal of Breast Cancer Journal of Breast Cancer Vol.23 No.1
발행연도
2020.1
수록면
36 - 46 (11page)

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Purpose: We investigated the expression of the N-myc and STAT interactor (NMI) protein in invasive ductal carcinoma tissue and estimated its clinicopathologic significance as a prognostic factor. The expression levels and prognostic significance of NMI were also analyzed according to the molecular subgroup of breast cancers. Methods: Human NMI detection by immunohistochemistry was performed using tissue microarrays of 382 invasive ductal carcinomas. The correlation of NMI expression with patient clinicopathological parameters and prognostic significance was analyzed and further assessed according to the molecular subgroup of breast cancers. Moreover, in vitro experiments with 13 breast cancer cell lines were carried out. We also validated NMI expression significance in The Cancer Genome Atlas cohort using the Human Protein Atlas (HPA) database. Results: Low NMI expression was observed in 190 cases (49.7%). Low NMI expression was significantly associated with the “triple-negative” molecular subtype (p < 0.001), high nuclear grade (p < 0.001), high histologic grade (p < 0.001), and advanced anatomic stage (p = 0.041). Patients with low NMI expression had poorer progression-free survival (p = 0.038) than patients with high NMI expression. Low NMI expression was not significantly associated with patient prognosis in the molecular subgroup analysis. In vitro, a reduction of NMI expression was observed in 8 breast cancer cell lines, especially in the estrogen receptor-positive and basal B type of triple-negative breast cancer molecular subgroups. The HPA database showed that low NMI expression levels were associated with a lower survival probability compared with that associated with high NMI expression (p = 0.053). Conclusion: NMI expression could be a useful prognostic biomarker and a potential novel therapeutic target in invasive ductal carcinoma.

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