Unknown

Dataset Information

0

Risk factors of lymph node metastasis or lymphovascular invasion for early gastric cancer: a practical and effective predictive model based on international multicenter data.


ABSTRACT: BACKGROUND:Most lymph node metastasis (LNM) models for early gastric cancer (EGC) include lymphovascular invasion (LVI) as a predictor. However, LVI must be confirmed by postoperative pathology. In this study, we aimed to develop a model for predicting the risk of LNM/LVI in EGC using preoperative factors. METHODS:EGC patients who underwent radical gastrectomy at Fujian Medical University Union Hospital and Sun Yat-sen University Cancer Center (n?=?1460) were selected as the training set. The risk factors of LNM/LVI were investigated. Data from the International study group on Minimally Invasive surgery for GASTRIc Cancer trial (n?=?172) were selected as the validation set. RESULTS:In the training set, the incidence of LNM/LVI was 21.6%. The 5-year cancer-specific survival rates of patients with and without LNM/LVI were 92.4 and 95.0%, respectively, with significant difference (P?=?0.030). Multivariable logistic regression analysis showed that the four independent risk factors for LNM/LVI were female, tumor larger than 20?mm, submucosal invasion and undifferentiated tumor histological type (all P?

SUBMITTER: Lin JX 

PROVIDER: S-EPMC6836519 | biostudies-literature | 2019 Nov

REPOSITORIES: biostudies-literature

altmetric image

Publications

Risk factors of lymph node metastasis or lymphovascular invasion for early gastric cancer: a practical and effective predictive model based on international multicenter data.

Lin Jian-Xian JX   Wang Zu-Kai ZK   Wang Wei W   Desiderio Jacopo J   Xie Jian-Wei JW   Wang Jia-Bin JB   Lu Jun J   Chen Qi-Yue QY   Cao Long-Long LL   Lin Mi M   Tu Ru-Hong RH   Zheng Chao-Hui CH   Li Ping P   Parisi Amilcare A   Zhou Zhi-Wei ZW   Huang Chang-Ming CM  

BMC cancer 20191106 1


<h4>Background</h4>Most lymph node metastasis (LNM) models for early gastric cancer (EGC) include lymphovascular invasion (LVI) as a predictor. However, LVI must be confirmed by postoperative pathology. In this study, we aimed to develop a model for predicting the risk of LNM/LVI in EGC using preoperative factors.<h4>Methods</h4>EGC patients who underwent radical gastrectomy at Fujian Medical University Union Hospital and Sun Yat-sen University Cancer Center (n = 1460) were selected as the train  ...[more]

Similar Datasets

| S-EPMC5605436 | biostudies-literature
| S-EPMC7057611 | biostudies-literature
| S-EPMC7526048 | biostudies-literature
| S-EPMC5356848 | biostudies-other
| S-EPMC6858972 | biostudies-literature
| S-EPMC5078061 | biostudies-literature
| S-EPMC7912296 | biostudies-literature
| S-EPMC8242250 | biostudies-literature
| S-EPMC6529739 | biostudies-literature
| S-EPMC4747578 | biostudies-other