[Analysis of factors influencing the axillary lymph node metastasis and breast cancer-specific survival in patients with T1 breast cancer].
Zhonghua Yi Xue Za Zhi
; 98(40): 3258-3262, 2018 Oct 30.
Article
in Zh
| MEDLINE
| ID: mdl-30392292
ABSTRACT
Objective:
To investigate the predictors of axillary lymph node metastasis and the breast cancer-specific survival (BCSS) in patients with T1 breast cancer.Methods:
A retrospective analysis of clinical and pathological data of 840 T1 invasive breast cancer cases between January 2009 and January 2014 in Henan Cancer Hospital was conducted.Chi square test and Logistic regression analysis were carried out to identify relevant factors of lymph node metastasis. Analysis of prognostic factors were analyzed by Log-rank test and Cox regression.Results:
Among the 840 T1 breast cancer cases, positive axillary lymph nodes were found in 150 (17.9%) cases. Univariate analysis showed that tumor size, histological grade, tumor location, and HER2 status were associated with axillary lymph node status (P<0.05). Multivariate analysis showed that tumor size, histological grade, tumor location, and HER2 status were independent predictive factors of axillary lymph node metastasis (P<0.05). Log-rank test showed that tumor size, histological grade, HER2 status, partial response (PR) status and number of positive lymph nodes were important factors influencing BCSS of the patients with positive axillary lymph nodes (P<0.05). Cox analysis showed that the size of the primary tumors and the number of positive lymph nodes were independent factors affecting the BCSS of the patients(P<0.05).Conclusions:
Tumor size, histological grade, tumor location and HER2 status correlated with axillary lymph nodes status of T1 breast cancer. For T1 breast cancer patients with positive axillary lymph node, more positive lymph nodes involved and smaller primary tumor correlated with worse prognosis.Key words
Full text:
1
Collection:
01-internacional
Database:
MEDLINE
Main subject:
Axilla
/
Breast Neoplasms
Type of study:
Observational_studies
/
Prognostic_studies
/
Risk_factors_studies
Limits:
Humans
Language:
Zh
Journal:
Zhonghua Yi Xue Za Zhi
Year:
2018
Document type:
Article
Affiliation country:
China