New Insight into Ki67 Expression at the Invasive Front in Breast Cancer
Author(s) -
Peng Gong,
Yingxin Wang,
Gavin Liu,
Jing Zhang,
Zhongyu Wang
Publication year - 2013
Publication title -
plos one
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.99
H-Index - 332
ISSN - 1932-6203
DOI - 10.1371/journal.pone.0054912
Subject(s) - breast cancer , pathological , immunohistochemistry , medicine , metastasis , pathology , multivariate analysis , proportional hazards model , cancer , oncology
Purpose To investigate the distribution of Ki67+ cells in breast cancer in relation to clinical-pathological parameters and prognosis. Materials and Methods Ki67 expression status was detected in 1,086 breast cancer specimens using immunohistochemistry staining and examining the relationship between the Ki67+ cells' location. Subsequently, clinical-pathological parameters and prognosis were determined. Results In total, Ki67 protein expression was found in 781 (71.92%) of the 1,086 breast cancer specimens. Among the 781 Ki67+ cases, 461 were defined as diffuse type and 320 were defined as borderline type. After universal correlation analysis, significant differences were observed in age, histological grade, metastatic nodes, postoperative distant metastasis, and molecular subtype between Ki67+ and Ki67− cases ( P = 0.01, 0.001, 0.001, 0.001, and 0.001, respectively). After subgroup analysis, the borderline cases were found to be characterized by a high distant metastasis rate compared to the diffuse cases as well as the Ki67− cases ( P = 0.001). No differences were observed between diffuse type or Ki67− cases ( P = 0.105). Multivariate analysis showed that age, tumor size, histological grade, lymph node metastasis, molecular subtype, and the Ki67 distribution pattern were observed to be related to postoperative distant metastasis (all P <0.05). Furthermore, borderline type was shown to attain a significantly more distant bone and liver metastasis and worse disease-specific survival than the other types ( P = 0.001). In the Cox regression test, the Ki67 distribution pattern was detected as an independent prognostic factor ( P = 0.001). Conclusion The distribution pattern of Ki67 may be a new independent prognostic factor for breast cancer.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom