PMID- 28441706
OWN - NLM
STAT- PubMed-not-MEDLINE
LR  - 20240326
IS  - 2476-762X (Electronic)
IS  - 1513-7368 (Print)
IS  - 1513-7368 (Linking)
VI  - 18
IP  - 3
DP  - 2017 Mar 1
TI  - A Comprehensive Model for Predicting Recurrence and Survival in Cases of Chinese 
      Postoperative Invasive Breast Cancer.
PG  - 727-733
AB  - We investigated relationships between clinical pathologic data, molecular 
      biomarkers and prognosis of invasive breast cancer based on a Chinese population. 
      Immunohistochemistry (IHC) was used to assess the status of ER, PR, HER-2 and 
      Ki-67, with fluorescence in situ hybridization (FISH) performed to further 
      confirm HER-2 positivity with an equivocal result (IHC 2+). Subsequently, 
      Kaplan-Meier univariate and multivariate COX regression analyses of ER, PR, 
      HER-2, Ki-67, clinical features, therapeutic status and follow-up data were 
      performed according to the establishment principle of the Nottingham prognostic 
      index (NPI). From this study, age, tumor size, lymph node status, ER, HER-2, 
      Ki-67 status were found to be associated with prognosis. Eventually, a prognostic 
      model of (PI= (1.5xage) - size + (0.1xlymph node status) - (0.5xER) + (2xHER-2) - 
      (0.2xKi-67)) was established with 288 randomly selected patients and verified 
      with another 100 cases with invasive breast cancer. Pearson correlation analysis 
      demonstrated a significant positive correlation index of 0.376 (P=0.012<0.05) 
      between the prognostic index (PI) and actual prognosis. Remarkably, the 
      consistency with the model predicted recurrence was 93% in the validation set. 
      Therefore, it appears feasible to predict the prognosis of individuals with 
      invasive breast cancer and to determine optimal therapeutic strategy with this 
      model.
CI  - Creative Commons Attribution License
FAU - Xie, Xianhe
AU  - Xie X
AD  - Department of Chemotherapy, The First Affiliated Hospital of Fujian Medical 
      University, Fuzhou, Fujian, China
AD  - Department of Internal Medicine Oncology, Hainan General Hospital, Haikou, 
      Hainan, China. Email:xiexianhe@ yahoo.com
FAU - Hu, Yanfen
AU  - Hu Y
FAU - Jing, Chao
AU  - Jing Ch
FAU - Luo, Shuimei
AU  - Luo Sh
FAU - Lv, Yunfu
AU  - Lv Y
FAU - Yang, Haitao
AU  - Yang H
FAU - Li, Lina
AU  - Li L
FAU - Chen, Huijuan
AU  - Chen H
FAU - Lin, Wanzun
AU  - Lin W
FAU - Zheng, Weili
AU  - Zheng W
LA  - eng
PT  - Journal Article
DEP - 20170301
PL  - Thailand
TA  - Asian Pac J Cancer Prev
JT  - Asian Pacific journal of cancer prevention : APJCP
JID - 101130625
PMC - PMC5464491
OTO - NOTNLM
OT  - Breast cancer
OT  - ER
OT  - HER-2
OT  - Ki-67
OT  - prognostic model
EDAT- 2017/04/27 06:00
MHDA- 2017/04/27 06:01
PMCR- 2017/03/01
CRDT- 2017/04/27 06:00
PHST- 2017/04/27 06:01 [medline]
PHST- 2017/04/27 06:00 [pubmed]
PHST- 2017/04/27 06:00 [entrez]
PHST- 2017/03/01 00:00 [pmc-release]
AID - APJCP-18-727 [pii]
AID - 10.22034/APJCP.2017.18.3.727 [doi]
PST - epublish
SO  - Asian Pac J Cancer Prev. 2017 Mar 1;18(3):727-733. doi: 
      10.22034/APJCP.2017.18.3.727.