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Mechanism of driver protein family member C1 in triple negative breast cancer / 国际生物医学工程杂志
International Journal of Biomedical Engineering ; (6): 341-346, 2021.
Article in Chinese | WPRIM | ID: wpr-929912
ABSTRACT

Objective:

To explore the function and role of kinesin family member C1 (KIFC1) in triple negative breast cancer (TNBC).

Methods:

The mRNA level of KIFC1 in TNBC tissues and normal tissues adjacent to cancer was analyzed by bioinformatics methods, and the relationship between its expression and the survival rate of thepatients was analyzed. The clinicopathological characteristics of 96 TNBC patients were retrospectively analyzed. Immunohistochemical method was used to detect the expression of KIFC1 in tumor tissues and normal tissues adjacent to cancer, and to analyze the expression of KIFC1 in TNBC patients and its relationship with clinicopathological characteristics.

Results:

The results of bioinformatics analysis showed that KIFC1 is highly expressed in TNBC tissue and is correlated with the patient's disease-free survival ( P<0.05). In TNBC tissue, the positive high expression rate of KIF23 is 58.3%, while it is mainly low or no expressionin adjacent tissues. The high expression of KIF23 is related to the tumor grade of TNBC patients ( P<0.05). The results of in vitro cell experiments show that knocking down KIFC1 can significantly reduce the colony forming ability and proliferation ability of TNBC cells. The results of in vivo experiments in mice showed that knocking down KIFC1 can significantly reduce tumor volume.

Conclusions:

KIFC1 can be used as a prognostic factor of TNBC. Low expression of KIFC1 can inhibit the proliferation of TNBC cells in vivo and in vitro. KIFC1 is expected to be a prognostic marker and therapeutic target for TNBC.

Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: International Journal of Biomedical Engineering Year: 2021 Type: Article

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Full text: Available Index: WPRIM (Western Pacific) Type of study: Prognostic study Language: Chinese Journal: International Journal of Biomedical Engineering Year: 2021 Type: Article