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1.
Chinese Journal of Postgraduates of Medicine ; (36): 413-417, 2017.
Article in Chinese | WPRIM | ID: wpr-616164

ABSTRACT

Objective To discuss the correlation between molecular subtypes of early stage breast cancer patients with positive sentinel lymph nodes and the metastasis of non-sentinel lymph nodes, and find out the factors predicting the metastasis of non-sentinel lymph nodes. Methods The clinical data of 124 female breast cancer patients with sentinel lymph node positive were retrospectively analyzed, and the patients were treated with axillary lymph node dissection. And the correlations were analyzed by single factor analysis and multiple factor Logistic regression analysis. Results Among the 124 patients,non-sentinel lymph node metastasis was in 45 cases (36.3%), and only sentinel lymph node positive was in 79 cases (63.7%). The single factor analysis result showed that the age≤35 years, number of sentinel lymph node positive≥2, macrometastasis of sentinel lymph node had correlation with the metastasis of non-sentinel lymph node (P0.05). The multiple factor Logistic regression analysis result showed that the number of sentinel lymph node positive and circumstance of sentinel lymph node positive lesions were the independent risk factors of the non-sentinel lymph node metastasis in patients with sentinel lymph node positive (OR = 4.589 and 2.948; P<0.01 or <0.05). Conclusions The circumstance of sentinel lymph node positive lesions and number of sentinel lymph node positive are the independent risk factors of the non-sentinel lymph node metastasis, but the molecular type is not correlated with the metastasis of non-sentinel lymph node. Predicting non-sentinel lymph node metastasis should be combined with clinical and pathological factors.

2.
Journal of Pharmaceutical Analysis ; (6): 54-58, 2010.
Article in Chinese | WPRIM | ID: wpr-621627

ABSTRACT

Objective To investigate the expressions of estrogen receptor (ER) subtypes and c-met proto-oncogene in human endometrial carcinomas and to assess the clinical significance of ER and c-met in this carcinoma. Methods Reverse transcription PCR (RT-PCR) was used to detect the expressions of ERα, ERβ and c-met proto-oncogene mRNA in 30 samples of endometrial carcinoma and 11 samples of normal endometrium. Results The expression of ERα in endometrial carcinoma (0.70±0.40) was significantly reduced in comparison to that in normal endometrium (1.14±0.56, P<0.05). A similar finding was made for the expression of ERβ in carcinoma (0.24±0.18) versus normal tissues (0.48±0.20, P<0.05). In contrast, c-met mRNA expression was increased in endometrial carcinoma (1.45±0.72) compared to that in normal endometrium (0.42±0.31, P<0.01). A decrease tendency of the expression of ERα was also found from Stage Ⅰ (0.82±0.41) to a more severe Stag Ⅱ-Ⅲ of endometrial carcinoma (0.42±0.17, P<0.05). The analysis of ERα and ERβ mRNA revealed a decrease tendency from shallow to deep invasion of the uterine muscles (P<0.05). We found that the expressions of ERα and ERβ were negatively correlated with c-met proto-oncogene with a coefficient correlation of -0.63 (P<0.01) and -0.32 (P<0.05), respectively. Conclusion ERα and ERβ are both involved in mutagenic action of carcinogen. C-met proto-oncogene plays an important role in the carcinogenesis and development of endometrial carcinoma. C-met and ER expressions show a negative correlation in the development of endometrial carcinoma.

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