Prognostic Significance of Level and Number of Lymph Node Metastases in Patients with Gastric Cancer

2007 ◽  
Vol 14 (5) ◽  
pp. 1688-1693 ◽  
Author(s):  
Hiroaki Saito ◽  
Yoji Fukumoto ◽  
Tomohiro Osaki ◽  
Kenji Fukuda ◽  
Shigeru Tatebe ◽  
...  
2012 ◽  
Vol 30 (15_suppl) ◽  
pp. e14713-e14713
Author(s):  
Antonio CALDEIRA Fradique

e14713 Background: The Cerb-B2/HER2 marker, is a glycoprotein encoded by the ERBB2 oncogene, belongs to the family of epidermal growth factor receptors (EGFR), which has based its application on tests of new therapeutic modalities (target therapy). Apart from this interest has been invoked its value as a marker of tumor aggressiveness, due to his role as a regulator of cell proliferation and migration and consequent invasiveness and metastization. However, the results as to the meaning prognosis of this molecular marker are controversial and with variations depending on the geographical zone. Results: From a total of 50 pts. with advanced resectable gastric cancer that underwent surgery with D2 lymphadenectomy, 38 pts. had a total gastrectomy, and 12 pts. had subtotal gastrectomy. A mean of 35.7 lymph nodes/pt were resected at surgery. In 68% of pts. positive lymph node metastases were present. Tumor HER2-neu overexpression was observed in 16 pts (32%), several other parameters of tumor aggressiveness were also present, without any statistical significance or relevance. Methods: To determine if the Cerb-B2 played a prognostic role in gastric cancer, a total of 50 pts. with advanced resectable gastric cancer, were submitted to gastrectomy with D2 lymphadenectomy. In all cases assessment for tumor HER2-neu overexpression was performed using immunohistochemistry (IHC). FISH was used as a confirmation method in tumors with 2+ expression by IHC. A correlation was made between the tumor HER2-neu expression and the following parameters: tumor location, size, histological type, depth of invasion, lymph node metastases and clinical staging. Results: From a total of 50 pts. with advanced resectable gastric cancer that underwent surgery with D2 lymphadenectomy, 38 pts. had a total gastrectomy, and 12 pts. had subtotal gastrectomy. A mean of 35.7 lymph nodes/pt were resected at surgery. In 68% of pts. positive lymph node metastases were present.Tumor HER2-neu overexpression was observed in 16 pts (32%), several other parameters of tumor aggressiveness were also present, without any statistical significance or relevance. Conclusions: The determination of Cerb-B2 / HER2 expression has not shown prognostic significance in this study.


2006 ◽  
Vol 94 (4) ◽  
pp. 275-280 ◽  
Author(s):  
Franco Roviello ◽  
Simone Rossi ◽  
Daniele Marrelli ◽  
Corrado Pedrazzani ◽  
Giovanni Corso ◽  
...  

2017 ◽  
Vol 8 (8) ◽  
pp. 1492-1497 ◽  
Author(s):  
Xi Wei ◽  
Yi-bo Li ◽  
Ying Li ◽  
Ben-cheng Lin ◽  
Xiao-Min Shen ◽  
...  

2018 ◽  
Vol 106 (4) ◽  
pp. 981-988 ◽  
Author(s):  
Peter J. Kneuertz ◽  
Mohamed K. Kamel ◽  
Brendon M. Stiles ◽  
Benjamin E. Lee ◽  
Mohamed Rahouma ◽  
...  

2021 ◽  
Vol 11 ◽  
Author(s):  
Qiufang Liu ◽  
Jiaru Li ◽  
Bowen Xin ◽  
Yuyun Sun ◽  
Dagan Feng ◽  
...  

ObjectivesThe accurate assessment of lymph node metastases (LNMs) and the preoperative nodal (N) stage are critical for the precise treatment of patients with gastric cancer (GC). The diagnostic performance, however, of current imaging procedures used for this assessment is sub-optimal. Our aim was to investigate the value of preoperative 18F-FDG PET/CT radiomic features to predict LNMs and the N stage.MethodsWe retrospectively collected clinical and 18F-FDG PET/CT imaging data of 185 patients with GC who underwent total or partial radical gastrectomy. Patients were allocated to training and validation sets using the stratified method at a fixed ratio (8:2). There were 2,100 radiomic features extracted from the 18F-FDG PET/CT scans. After selecting radiomic features by the random forest, relevancy-based, and sequential forward selection methods, the BalancedBagging ensemble classifier was established for the preoperative prediction of LNMs, and the OneVsRest classifier for the N stage. The performance of the models was primarily evaluated by the AUC and accuracy, and validated by the independent validation methods. Analysis of the feature importance and the correlation were also conducted. We also compared the predictive performance of our radiomic models to that with the contrast-enhanced CT (CECT) and 18F-FDG PET/CT.ResultsThere were 185 patients—127 men, 58 women, with the median age of 62, and an age range of 22–86 years. One CT feature and one PET feature were selected to predict LNMs and achieved the best performance (AUC: 82.2%, accuracy: 85.2%). This radiomic model also detected some LNMs that were missed in CECT (19.6%) and 18F-FDG PET/CT (35.7%). For predicting the N stage, four CT features and one PET feature were selected (AUC: 73.7%, accuracy: 62.3%). Of note, a proportion of patients in the validation set whose LNMs were incorrectly staged by CECT (57.4%) and 18F-FDG PET/CT (55%) were diagnosed correctly by our radiomic model.ConclusionWe developed and validated two machine learning models based on the preoperative 18F-FDG PET/CT images that have a predictive value for LNMs and the N stage in GC. These predictive models show a promise to offer a potentially useful adjunct to current staging approaches for patients with GC.


2006 ◽  
Vol 14 (31) ◽  
pp. 3060
Author(s):  
Zhi-Qing Zhao ◽  
Ke-Guo Zheng ◽  
Jing-Xian Shen ◽  
Wei Wang ◽  
Zi-Ping Li ◽  
...  

1992 ◽  
Vol 79 (2) ◽  
pp. 156-160 ◽  
Author(s):  
E. Bollschweiler ◽  
K. Boettcher ◽  
A. H. Hoelscher ◽  
M. Sasako ◽  
T. Kinoshita ◽  
...  

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