Role of patient-, tumor- and systemic inflammatory response–related factors in predicting survival of patients with node-negative gastric cancer. Issue 6 (May 2017)
- Record Type:
- Journal Article
- Title:
- Role of patient-, tumor- and systemic inflammatory response–related factors in predicting survival of patients with node-negative gastric cancer. Issue 6 (May 2017)
- Main Title:
- Role of patient-, tumor- and systemic inflammatory response–related factors in predicting survival of patients with node-negative gastric cancer
- Authors:
- Qu, Jinglei
Qu, Xiujuan
Li, Zhi
Zhang, Jingdong
Teng, Yuee
Jin, Bo
Zhao, Mingfang
Yu, Ping
Wang, Zhenning
Liu, Yunpeng - Abstract:
- It is currently unclear as to which patients with node-negative gastric cancer can benefit from adjuvant chemotherapy. This study aimed to develop a prognostic model based on patient-, tumor-, and host-related factors to stratify high-risk patients eligible for adjuvant therapy. Correlations of clinicopathological and hematological features with overall survival were analyzed using a Cox model. A score to identify risk classes was derived from hazard ratios in multivariate analysis. In all, 436 patients with node-negative gastric cancer (stage pT1–4aN0M0) were analyzed in this study. Multivariate analysis showed that age, depth of invasion, and neutrophil–lymphocyte ratio were independent prognostic indicators of overall survival, and a prognostic model was developed using these significant factors. Patients were stratified into three risk groups with significant differences in the 3-year survival rates (98.5%, 91.6%, and 70.7%, respectively; p < 0.001) according to their scores. The prognostic model improved the predictive accuracy of postoperative 3-year survival rate by 7% when compared with the pathological T stage. A model based on age, depth of invasion, and neutrophil–lymphocyte ratio is more effective than traditional staging systems in predicting the prognosis of node-negative gastric cancer. High-risk patients could be considered for adjuvant therapy.
- Is Part Of:
- Tumor biology. Volume 39:Issue 6(2017)
- Journal:
- Tumor biology
- Issue:
- Volume 39:Issue 6(2017)
- Issue Display:
- Volume 39, Issue 6 (2017)
- Year:
- 2017
- Volume:
- 39
- Issue:
- 6
- Issue Sort Value:
- 2017-0039-0006-0000
- Page Start:
- Page End:
- Publication Date:
- 2017-05
- Subjects:
- Prognostic model -- neutrophil–lymphocyte ratio -- node-negative -- gastric cancer
Cancer -- Periodicals
Oncology -- Periodicals
Tumors -- Periodicals
616.994 - Journal URLs:
- https://www.iospress.nl/journal/tumor-biology/ ↗
https://uk.sagepub.com/en-gb/eur/tumor-biology/journal202707 ↗
http://www.springer.com/gb/ ↗ - DOI:
- 10.1177/1010428317698374 ↗
- Languages:
- English
- ISSNs:
- 1010-4283
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - 9070.645500
British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 8654.xml