Endoscopic ultrasound in restaging and predicting pathological response for advanced gastric cancer patients after neoadjuvant chemotherapy

2012 ◽  
Vol 10 (2) ◽  
pp. e28-e32 ◽  
Author(s):  
Tao Guo ◽  
Fang Yao ◽  
Ai-ming Yang ◽  
Xiao-yi Li ◽  
Ding-rong Zhong ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Gastric Cancer ◽  
Cancer Patients ◽  
Endoscopic Ultrasound ◽  
Pathological Response ◽  
Gastric Cancer Patients

Long-term follow-up of advanced gastric cancer patients who achieved a pathologic complete response with neoadjuvant chemotherapy.

2014 ◽  
Vol 32 (3_suppl) ◽  
pp. 133-133
Author(s):  
Haruhiko Cho ◽  
Takaki Yoshikawa
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Pathologic Complete Response ◽  
Complete Response ◽  
Pathological Response ◽  
Term Survival ◽  
Gastric Cancer Patients ◽  
The Impact

133 Background: Adjuvant chemotherapy (AC) after D2 gastrectomy has become a standard treatment for stage 2/3 gastric cancer in Japan and Korea; however, the results remain unsatisfactory due to insufficient risk reduction in patients with stage 3 disease and low compliance. Although the administration of neoadjuvant chemotherapy (NAC) is a promising approach associated with a high rate of compliance and a downstage effect, the long-term survival benefits of this modality are unclear. Moreover, the impact of the pathological response on survival has not been evaluated. Based on the hypothesis that the pathological response grade is associated with survival, we conducted a search for reports of a pathological complete response (pCR) obtained with NAC. Methods: A total of 27 gastric cancer patients who achieved a pCR following NAC therapy were identified using PubMed and the Japanese medical search engine “Ichu-shi,” with the search words “gastric cancer,” “NAC,” and “pCR.” A questionnaire regarding the patients’ prognoses was posted in 23 institutions in Japan in July 2013. Results: Answers regarding 22 patients were obtained from 20 institutions. The subjects included 13 males and nine females. The mean age was 67.5 years. Tumors with stage 3/4 (95.4%: 21/22) and a diffuse-type histology (61.9%: 13/21) were dominant. S1/CDDP was the most frequently selected NAC regimen. A total of 77.2% (17/22) of the patients required combined resection of adjacent organs, and all patients underwent R0 resection and D2 lymphadenectomy. At present, 86.3% (19/22) of the patients are alive without recurrence; none of the ten patients who received postoperative AC demonstrated any recurrence, while three of twelve patients who did not receive postoperative AC developed recurrence, and two patients died of the disease after surgery (at 71 months and nine months, respectively). The overall and recurrence-free survival rates at three/five years were 95.5%/85.1% and 90.9%/75.1%, respectively. Conclusions: Patients with gastric cancer who achieve a pCR with NAC are rare; however, their prognoses are excellent. It is therefore important to develop a NAC regimen focusing on a high pCR rate.

scholarly journals In Gastric Cancer Patients Receiving Neoadjuvant Chemotherapy Systemic Inflammation Response Index is a Useful Prognostic Indicator

2021 ◽  
Vol 27 ◽  
Author(s):  
Li Chen ◽  
Yong Chen ◽  
Lele Zhang ◽  
Yingwei Xue ◽  
Shiwei Zhang ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Gastric Cancer ◽  
Cancer Patients ◽  
Systemic Inflammation ◽  
Prognostic Indicator ◽  
Inflammation Response ◽  
Lymphocyte Ratio ◽  
Response Index ◽  
Gastric Cancer Patients

Background: The preoperative systemic inflammation response index (SIRI), based on peripheral neutrophil (N), monocyte (M), and lymphocyte (L) counts, has shown mounting evidence as an effective prognostic indicator in some malignant tumors. The aim of the present study was to evaluate the prognostic significance of pre-treatment SIRI in gastric cancer patients who received neoadjuvant chemotherapy (NACT).Methods: This retrospective study comprised 107 patients with advanced gastric cancer treated with NACT between July 2007 and September 2015 in our hospital. SIRI was calculated from peripheral venous blood samples obtained prior to treatment. The best cutoff value for SIRI by receiver operating characteristic (ROC) curve was 1.2 (low SIRI <1.21, high SIRI ≥1.21). The clinical outcomes of disease-free survival (DFS) and overall survival (OS) were analyzed by Kaplan-Meier survival analysis and compared using the log-rank test. Univariate and multivariate analyses were performed by the Cox proportional hazards regression model.Results: The results demonstrated that the low SIRI group was statistically associated with gender, primary tumor site, white blood cell, neutrophil, and monocyte counts, NLR (neutrophil to lymphocyte ratio), MLR (monocyte to lymphocyte ratio), and PLR (platelet to lymphocyte ratio). The SIRI was predictive for DFS and OS by univariate and multivariate analysis; the low SIRI group had better median DFS and OS than the high SIRI group (median DFS 27.03 vs. 22.33 months, median OS 29.73 vs. 24.43 months). The DFS and OS in the low SIRI group were longer than the high SIRI group.Conclusions: SIRI may qualify as a useful, reliable, and convenient prognostic indicator in patients with advanced gastric cancer to help physicians to provide personalized prognostication for gastric cancer patients treated with NACT.

scholarly journals Development of a Clinical Nomogram for Prediction of Response to Neoadjuvant Chemotherapy in Patients with Advanced Gastric Cancer

2021 ◽  
Author(s):  
Xianwen Liang ◽  
Xu-Liang Liao ◽  
Hua-Yang Pang ◽  
Tao Pan ◽  
Xiao-Hai Song ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Advanced Gastric Cancer ◽  
Cancer Patients ◽  
Tumor Location ◽  
Histological Differentiation ◽  
Prediction Of Response ◽  
Gastric Cancer Patients ◽  
Response Group ◽  
Group Grade

Abstract Objective:The efficacy of neoadjuvant chemotherapy (NAC) among advanced gastric cancer (GC) is still a controversial issue. Our aim is to find the factors associated with chemosensitivity of NAC, and provide optimal therapeutic strategy for GC patients who received NAC.Methods: Clinical information was collected from 230 gastric cancer patients who received NAC in West China Hospital from January 2016 to December 2020. LASSO logistic regression analysis was performed to find the possible predictors which a nomogram model for prediction of response to NAC was based on.Results: A total of 230 patients were finally included in this study, including 154 males (67.0%) and 76 females (33.0%). And mean age was (59.37±10.60) years, ranging from 24 to 80 years. Based on the TRG standard, there were 95 cases in the obvious response group (grade 0 or grade 1) and 135 cases in the non-obvious response group (grade 2 or grade 3), and the obvious response rate was 41.3%. LASSO analysis showed that four risk factors that were significantly related to the efficacy of NAC, which included tumor location (P<0.001) , histological differentiation (P=0.001), clinical T stage (P=0.008) , CA724 (P=0.008) . The C-index for prediction nomogram was 0.806, and the calibration curve revealed the predicted value exhibited good agreement with the actual value, decision curve analysis showed that the nomogram had a good value in clinical application.Conclusions: The nomogram which combined tumor location, histological differentiation，clinical T stage and CA724 showed satisfactory predictive power to response of NAC, and could be used by gastrointestinal surgeons to identify optimal treatment strategy for advanced gastric cancer patients.

scholarly journals Pathological response measured using virtual microscopic slides for gastric cancer patients who underwent neoadjuvant chemotherapy

2019 ◽  
Vol 25 (35) ◽  
pp. 5334-5343
Author(s):  
Sadayuki Kawai ◽  
Tadakazu Shimoda ◽  
Takashi Nakajima ◽  
Masanori Terashima ◽  
Katsuhiro Omae ◽  
...  
Keyword(s):  
Gastric Cancer ◽  
Neoadjuvant Chemotherapy ◽  
Cancer Patients ◽  
Pathological Response ◽  
Gastric Cancer Patients
Sign in / Sign up

Export Citation Format

Share Document