scholarly journals Risk Factors for Para-aortic Lymph Node Metastasis of Gastric Cancer from a Randomized Controlled Trial of JCOG9501

2007 ◽  
Vol 37 (6) ◽  
pp. 429-433 ◽  
Author(s):  
Eiji Nomura ◽  
Mitsuru Sasako ◽  
Seiichiro Yamamoto ◽  
Takeshi Sano ◽  
Toshimasa Tsujinaka ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Randomized Controlled Trial ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Controlled Trial ◽  
Node Metastasis ◽  
Randomized Controlled ◽  
Aortic Lymph Node

scholarly journals Development and Validation a Nomogram for Predicting the Third Station Lymph Node Metastasis in Early Gastric Cancer

2021 ◽  
Author(s):  
Xiaoxiao Wang ◽  
Cong Li ◽  
Mengjie Fang ◽  
Liwen Zhang ◽  
Lianzhen Zhong ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Lymph Nodes ◽  
Validation Cohort ◽  
Predictive Accuracy ◽  
Clinical Risk Factors ◽  
Node Metastasis ◽  
Clinical Risk

Abstract Background:This study aimed to evaluate the value of radiomic nomogram in predicting lymph node metastasis in T1-2 gastric cancer according to the No. 3 station lymph nodes.Methods:A total of 159 T1-2 gastric cancer (GC) patients who had undergone surgery with lymphadenectomy between March 2012 and November 2017 were retrospectively collected and divided into a primary cohort (n = 80) and a validation cohort (n = 79). Radiomic features were extracted from both tumor region and No. 3 station lymph nodes (LN) based on computed tomography (CT) images per patient. Then, key features were selected using minimum redundancy maximum relevance algorithm and fed into two radiomic signatures, respectively. Meanwhile, the predictive performance of clinical risk factors was studied. Finally, a nomogram was built by merging radiomic signatures and clinical risk factors and evaluated by the area under the receiver operator characteristic curve (AUC) as well as decision curve.Results: Two radiomic signatures, reflecting phenotypes of the tumor and LN respectively, were significantly associated with LN metastasis. A nomogram incorporating two radiomic signatures and CT-reported LN metastasis status showed good discrimination of LN metastasis in both the primary cohort (AUC: 0.915; 95% confidence interval [CI]: 0.832-0.998) and validation cohort (AUC: 0.908; 95%CI: 0.814-1.000). The decision curve also indicated its potential clinical usefulness.Conclusions:The nomogram received favorable predictive accuracy in predicting No.3 station LN metastasis in T1-2 GC, and could assist the choice of therapy.

scholarly journals Indications of Lymph Node Metastasis and Survival Analysis in T1N+M0 Gastric Cancer: a Population-Based Study

2020 ◽  
Author(s):  
Peng Jin ◽  
Yang Li ◽  
Shuai Ma ◽  
Wenzhe Kang ◽  
Hao Liu ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Survival Analysis ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Tumor Size ◽  
Multivariate Analyses ◽  
Invasion Depth ◽  
Node Metastasis ◽  
Definition Of

Abstract Background Since the definition of early gastric cancer (EGC) was first proposed in 1971, the treatment of gastric cancer with or without lymph node metastasis (LNM) has changed a lot. The present study aims to identify risk factors for LNM and prognosis, and to further evaluate the indications for adjuvant chemotherapy (AC) in T1N + M0 gastric cancer. Methods A total of 1291 patients with T1N + M0 gastric cancer were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Univariate and multivariate analyses were performed to identify risk factors for LNM. The effect of LNM on overall survival (OS) and cancer-specific survival (CSS) was compared with patients grouped into T1N0-1 and T1N2-3, as the indications for AC. Results The rate of LNM was 19.52%. Multivariate analyses showed age, tumor size, invasion depth, and type of differentiation and retrieved LNs were associated with LNM (p < 0.05). Cox multivariate analyses indicated age, sex, tumor size, N stage were independent predictors of OS and CSS (p < 0.05), while race was indicator for OS (HR 0.866; 95%CI 0.750–0.999, p = 0.049), but not for CSS (HR 0.878; 95% CI 0.723–1.065, p = 0.187). In addition, survival analysis showed the proportion of patients in N+/N0 was better distributed than N0-1/N2-3b. There were statistically significant differences in OS and CSS between patients with and without chemotherapy in pT1N1M0 patients (p༜0.05). Conclusions Both tumor size and invasion depth are associated with LNM and prognosis. LNM is an important predictor of prognosis. pT1N + M0 may be appropriate candidates for AC. Currently, the treatment and prognosis of T1N0M0/T1N + M0 are completely different. An updated definition of EGC, taking into tumor size, invasion depth and LNM, may be more appropriate in an era of precision medicine.

Risk Factors for Lymph Node Metastasis in Early Gastric Cancer with Signet Ring Cell Carcinoma

2015 ◽  
Vol 19 (11) ◽  
pp. 1958-1965 ◽  
Author(s):  
Chun Guang Guo ◽  
Dong Bing Zhao ◽  
Qian Liu ◽  
Zhi Xiang Zhou ◽  
Ping Zhao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Early Gastric Cancer ◽  
Signet Ring Cell Carcinoma ◽  
Signet Ring Cell ◽  
Node Metastasis ◽  
Signet Ring ◽  
Ring Cell

Risk Factors Predictive of Para-Aortic Lymph Node Metastasis in Endometrial Carcinomas*

1997 ◽  
Vol 23 (2) ◽  
pp. 179-187 ◽  
Author(s):  
Yoshihito Yokoyama ◽  
Hidetoshi Maruyama ◽  
Shigemi Sato ◽  
Yoshiharu Saito
Keyword(s):  
Risk Factors ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Node Metastasis ◽  
Aortic Lymph Node ◽  
Endometrial Carcinomas

The Risk Factors of Lymph Node Metastasis in Early Gastric Cancer

2015 ◽  
Vol 21 (4) ◽  
pp. 941-946 ◽  
Author(s):  
Wen-Liang Fang ◽  
Kuo-Hung Huang ◽  
Yuan-Tzu Lan ◽  
Ming-Huang Chen ◽  
Yee Chao ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Early Gastric Cancer ◽  
Node Metastasis

Mo1163 A Multicenter Study Evaluating Risk Factors of Lymph Node Metastasis in Early Gastric Cancer in the United States

2017 ◽  
Vol 85 (5) ◽  
pp. AB444
Author(s):  
Olaya Isabella Brewer Gutierrez ◽  
Alyssa Y. Choi ◽  
Peter V. Draganov ◽  
Lauren Khanna ◽  
Amrita Sethi ◽  
...  
Keyword(s):  
United States ◽  
Risk Factors ◽  
Gastric Cancer ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Early Gastric Cancer ◽  
Multicenter Study ◽  
The United States ◽  
Node Metastasis

Risk factors for peritoneal recurrence in serosa-negative gastric cancer.

2015 ◽  
Vol 33 (3_suppl) ◽  
pp. 19-19 ◽  
Author(s):  
Hayato Omori ◽  
Yuichiro Miki ◽  
Wataru Takagi ◽  
Fumiko Hirata ◽  
Taichi Tatsubayashi ◽  
...  
Keyword(s):  
Risk Factors ◽  
Gastric Cancer ◽  
Multivariate Analysis ◽  
Risk Factor ◽  
Lymph Node ◽  
Lymph Node Metastasis ◽  
Independent Risk Factor ◽  
Peritoneal Recurrence ◽  
Node Metastasis ◽  
Gastric Cancer Patients

19 Background: Peritoneal recurrence is often observed in gastric cancer patients without serosal invasion. It is difficult for pathologists to evaluate whether tumor cells penetrate serosa or not, because the subserosa layer is very thin. We evaluated the incidence and risk factors of peritoneal recurrence in serosa -negative gastric cancer patients to clarify the mechanism of peritoneal recurrence in these patients. Methods: A total of 1,745 gastric cancer patients underwent R0 resection from 2002 to 2009 were enrolled. The incidence of peritoneal recurrence according to tumor depth was analyzed. In serosa-nagative patients, the univariate and multivariate analysis were performed to identify the risk factors for peritoneal recurrence. Results: Peritoneal recurrence was observed in 64 (3.7 %) out of 1,745 patients. The incidence of peritoneal recurrence according to depth of tumor invasion was in 0 / 466 in T1a, 5 / 567 (0.88 %) in T1b, 4 / 187 (2.1 %) in T2, 31 / 360 (7.9 %) in T3, 20 / 108 (15.9 %) in T4a, and 4 / 12 (25 %) in T4b, respectively (p<0.001). As for the risk factor for peritoneal recurrence in T3 patients, histologically undifferentiated type, negative lymphatic invasion, scirrhous type, invasive infiltrating growth pattern were the significant factors identified by univariate analysis. Only the invasive infiltrating growth pattern (OR3.44 p0.038) was selected as significant independent risk factor for peritoneal recurrence by multivariate analysis. In T1b / T2 patients, massive lymph node metastasis (N3a, 3b), scirrhous type were the significant factor for peritoneal recurrence by univariate analysis. Only massive lymph node metastasis (OR25.1 p<0.001) was selected as the significant independent risk factor by multivariate analysis. Conclusions: The incidence of peritoneal recurrence increases in proportion to the tumor depth. Invasive infiltrating growth pattern was selected as an independent risk factor for peritoneal recurrence in T3 patients, while it was massive lymph node metastasis in T1b / T2 patients. The results suggest the possibility that microscopic serosal invasion in T3 tumor and lymphatic progression in T1b / T2 tumor may contribute to peritoneal recurrence in gastric cancer.

Sign in / Sign up

Export Citation Format

Share Document