title: Prognostic analysis in a Chinese population with T1-2N1 breast cancer: Did patients with 1 or 2, and 3 positive axillary lymph nodes have similar survival outcomes?
abstract: OBJECTIVE
  There is a paucity of data examining whether 1-3 positive lymph nodes patients have similar survival outcomes. The present studies separately analyse survival outcomes of T1-2N1 breast cancer patients according to the number of positive lymph nodes.
  
  
  METHODS
  A total of 1,030 patients with T1-2N1 breast cancer were available for analysis. Survival estimates were calculated using the Kaplan-Meier method, univariate, and multivariate logistic regression models
  
  
  RESULTS
  Kaplan-Meier analysis showed progressively worse survival with the increased number of positive lymph nodes. Log-rank test P values were 0.003 (1 vs. 2 positive LNs), <0.0001 (1 vs. 3), and 0.006 (2 vs. 3) for recurrence-free survival (RFS). Log-rank test P values were 0.045 (1 vs. 2), <0.0001 (1 vs. 3), and 0.018 (2 vs. 3) for metastasis-free survival (MFS). Log-rank test P values were 0.101 (1 vs. 2), <0.0001 (1 vs. 3), and 0.005 (2 vs. 3) for overall survival (OS). Multivariate analysis showed that 3 and 2 positive lymph nodes had worse survival compared with 1 positive axillary lymph nodes.
  
  
  CONCLUSIONS
  Our study does suggest that T1-2N1 patients showed progressively worse survival outcomes with the increased number of positive lymph nodes.
authors.affiliation: Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
authors.forename: Honghong
authors.initials: H
authors.lastname: Shen
authors.affiliation: Department of General Surgery, Second Affiliated Hospital Shanxi Medical University, Taiyuan, China.
authors.forename: Jinyang
authors.initials: J
authors.lastname: Yuan
authors.affiliation: Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
authors.forename: Yang
authors.initials: Y
authors.lastname: Yang
authors.affiliation: Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
authors.forename: Xiaozhen
authors.initials: X
authors.lastname: Liu
authors.affiliation: Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
authors.forename: Li
authors.initials: L
authors.lastname: Wang
authors.affiliation: Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
authors.forename: Xiaolong
authors.initials: X
authors.lastname: Feng
authors.affiliation: Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
authors.forename: Lin
authors.initials: L
authors.lastname: Zhao
authors.affiliation: Tianjin Medical University Cancer Institute and Hospital, National Clinical Research Center for Cancer, Key Laboratory of Cancer Prevention and Therapy of Tianjin, Key Laboratory of Breast Cancer Prevention and Therapy, Tianjin Medical University, Ministry of Education, Tianjin, China.
authors.forename: Yun
authors.initials: Y
authors.lastname: Niu
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D014408:Biomarkers, Tumor / Q000378:metabolism*; D001943:Breast Neoplasms / Q000378:metabolism / Q000401:mortality* / Q000473:pathology* / Q000601:surgery; D005260:Female; D005500:Follow-Up Studies; D006801:Humans; D007124:Immunoenzyme Techniques; D008198:Lymph Nodes / Q000473:pathology*; D008408:Mastectomy / Q000401:mortality*; D008875:Middle Aged; D060787:Neoplasm Grading; D009364:Neoplasm Recurrence, Local / Q000378:metabolism / Q000401:mortality* / Q000473:pathology* / Q000601:surgery; D009367:Neoplasm Staging; D011379:Prognosis; D012189:Retrospective Studies; D015996:Survival Rate; D047368:Tumor Burden; D055815:Young Adult
chemical_list: D014408:Biomarkers, Tumor
keywords: breast cancer; number of positive lymph nodes; prognosis; survival