A Novel ypTLM Staging System Based on LODDS for Gastric Cancer After Neoadjuvant Therapy: Multicenter and Large-Sample Retrospective Study.

BACKGROUND: The accuracy of the eighth AJCC ypTNM staging system on the prognosis of gastric cancer (GC) patients after neoadjuvant therapy (NAT) is controversial. This study aimed to develop and validate a novel staging system using the log odds of positive lymph nodes scheme (LODDS). METHODS: A retrospective analysis of 606 GC patients who underwent radical gastrectomy after neoadjuvant therapy was conducted as the development cohort. (Fujian Medical University Affiliated Union Hospital (n = 183), Qinghai University Affiliated Hospital (n = 169), Mayo Clinic (n = 236), Lanzhou University First Hospital (n = 18)). The validation cohort came from the SEER database (n = 1701). A novel ypTLoddsS (ypTLM) staging system was established using the 3-year overall survival. The predictive performance of two systems was compared. RESULTS: Two-step multivariate Cox regression analysis in both cohorts showed that ypTLM was an independent predictor of overall survival of GC patients after neoadjuvant therapy (HR: 1.57, 95% CI: 1.30-1.88, p < 0.001). In the development cohort, ypTLM had better discrimination ability than ypTNM (C-index: 0.663 vs 0.633, p < 0.001), better prediction homogeneity (LR: 97.7 vs. 70.9), and better prediction accuracy (BIC: 3067.01 vs 3093.82; NRI: 0.36). In the validation cohort, ypTLM had a better prognostic predictive ability (C-index: 0.614 vs 0.588, p < 0.001; LR: 11,909.05 vs. 11,975.75; BIC: 13,263.71 vs 13,328.24; NRI: 0.22). The time-dependent ROC curve shows that the predictive performance of ypTLM is better than ypTNM, and the analysis of the decision curve shows that ypTLM achieved better net benefits. CONCLUSION: A LODDS-based ypTLM staging system based on multicenter data was established and validated. The predictive performance was superior to the eighth AJCC ypTNM staging system.

Patient-Reported Outcomes of Individuals with Gastric Cancer Undergoing Totally Laparoscopic Versus Laparoscopic-Assisted Total Gastrectomy: A Real-World, Propensity Score-Matching Analysis.

OBJECTIVE: Totally laparoscopic total gastrectomy (TLTG) and laparoscopic-assisted total gastrectomy (LATG) are two types of minimally invasive radical gastrectomy procedures to treat gastric cancer (GC). This study compared the long-term prognosis and postoperative health-related quality of life (HRQoL) between TLTG and LATG. METHODS: A total of 106 patients who underwent TLTG and 1,076 patients who underwent LATG at the Union Hospital of Fujian Medical University (Fuzhou, China) between January 2014 and April 2018 were included in the propensity score matching (PSM, 1:2). Patient-reported outcomes at 3, 6, and 12 months after gastrectomy were analyzed. The questionnaire referred to the European Organization for Research and Treatment of Cancer (EORTC) 30-item core QoL (QLQ-C30)and the GC module (QLQ-STO22) questionnaire. RESULTS: After PSM, there were no significant differences in clinicopathological characteristics between the TLTG (n = 104) and the LATG groups (n = 208). Operative time and volume of blood loss were significantly lower in the TLTG group than in the LATG group. Kaplan-Meier survival analysis revealed similar 3-year survival rates between the TLTG and LATG groups (83.7 vs. 80.3%, respectively; P = 0.462). Tolerance to nonliquid diet, decrease in body weight, and albumin levels were also significantly lower in the TLTG group than in the LATG group (all P < 0.05). The HRQoL scale demonstrated that the overall score in the TLTG group was better than that in the LATG group at 3, 6, and 12 months after gastrectomy (all P < 0.05). CONCLUSIONS: Patients with GC undergoing TLTG reported better HRQoL and experienced faster recovery of social function than those undergoing LATG, although the two groups demonstrated similar short-term outcomes and long-term prognosis.

Textbook outcome, chemotherapy compliance, and prognosis after radical gastrectomy for gastric cancer: A large sample analysis.

BACKGROUND: This study aims to analyze the effect of textbook outcome (TO) on the long-term prognosis and adjuvant chemotherapy (AC) compliance of patients with gastric cancer (GC) in a single institute. MATERIALS AND METHODS: Consecutive patients who underwent radical gastrectomy with pathological stage I-III at Union Hospital of Fujian Medical University from January 2010 to June 2017 were included. TO was defined as receiving a complete-potentially curative status, ≥15 lymph nodes examined, hospital stay ≤21 days, and freedom from intraoperative and postoperative complications, re-intervention in 30 days, 30-day readmission to the hospital or intensive care unit, and 30-day postoperative mortality. RESULTS: Totally 3993 patients were included, of which 3361 (84.2%) patients achieved TO. The overall, disease-specific, and recurrence-free survival of patients achieving TO were significantly better than those of patients without achieving TO (all P < 0.05). The total number of AC cycles was greater and the interval from surgery to first AC was shorter in the TO group compared with the Non-TO group. Age >65 years old, open surgery, pT3-4 stage, and total radical gastrectomy (TG) were identified as related high-risk factors for failure to achieve TO. Laparoscopic surgery facilitated TO achievement in high-risk groups. CONCLUSION: TO is a reliable indicator of favorable prognosis of patients with GC and contributes to postoperative chemotherapy compliance. Age ≤65 years old, non-TG, pT1-2 stage, and laparoscopic surgery may promote the achievement of TO.

Development and validation of metabolic scoring to individually predict prognosis and monitor recurrence early in gastric cancer: A large-sample analysis.

PURPOSE: To develop and validate a simple metabolic score (Metabolic score, MS) for use in evaluating the prognosis of gastric cancer (GC) patients and dynamically monitor for early recurrence. METHODS: We retrospectively collected general clinicopathological data of patients who underwent radical gastrectomy for GC between September 2012 and December 2017 in the Department of Gastric Surgery of the Fujian Medical University Union Hospital. Using a random forest algorithm to screen preoperative blood indicators into the Least absolute shrinkage and selection operator (LASSO) model, we developed a novel MS to predict prognosis. RESULTS: Data of 1974 patients were used to develop and validate the model. Total cholesterol (TCHO), bilirubin (TBIL), direct bilirubin (DBIL), and 15 other metabolic indicators had significant predictive value for the prognosis using the random forest algorithm. In the overall population, 533 patients (27.0%) had high and 1441 (73%) had low MS status. High MS status was related to tumor progression. The KM curves of 3-year OS and RFS for training set patients showed low MS had a better prognosis than high MS (OS: 79.4% vs 59.7%, P < 0.001; RFS: 76.0% vs 56.2%, P < 0.001). CONCLUSIONS: We have developed and validated MS to predict the long-term survival of GC patients and allow early monitoring of recurrence. This will provide physicians with simple, economical, and dynamic tumor monitoring information.

Prognostic analysis of patients with intra-abdominal infectious complications after laparoscopic-assisted and open radical gastrectomy for gastric cancer - A propensity score-matching analysis.

BACKGROUND: To investigate the incidence and prognosis of intra-abdominal infectious complications (IaICs) after laparoscopic-assisted gastrectomy (LAG) and open radical gastrectomy (OG) for gastric cancer. METHODS: The data of patients who underwent radical gastrectomy (LAG and OG) for gastric cancer at the Fujian Medical University Union Hospital from January 2000 to December 2014 were retrospectively reviewed. A 1:1 propensity score matching (PSM) was used to reduce bias. The incidence and prognosis of postoperative IaICs in the two groups were analyzed. RESULTS: After PSM, no significant difference was found in the baseline data between OG (n = 913) and LAG (n = 913). The incidence of IaICs after OG and LAG was 4.1% and 5.1%, respectively (p = 0.264). The Cox multivariate analysis showed that IaICs were an independent risk factor for overall survival (OS) of patients undergoing gastrectomy (hazard ratio [HR]: 1.65, p < 0.001). Further, LAG was an independent protective factor for OS among the patients with IaICs (HR: 0.54, p = 0.036), while tumor diameter of ≥50 mm (p = 0.01) and pathological TNM stage III (p < 0.001) were independent risk factors. The 5-year OS rate was higher in the patients with IaICs who underwent LAG than in those who underwent OG (51.1% vs. 32.4%, p = 0.042). The prognostic nutritional index was similar in both groups before surgery (p = 0.220) but lower on the first, third, and fifth days after OG than after LAG (p < 0.05). CONCLUSIONS: Compared to OG, LAG can improve the prognosis of patients with postoperative IaICs and is therefore recommended for patients at a high risk for IaICs.

Modified ypTNM Staging Classification for Gastric Cancer after Neoadjuvant Therapy: A Multi-Institutional Study.

BACKGROUND: The benefits of neoadjuvant therapy for patients with locally advanced gastric cancer (GC) are increasingly recognized. The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual first proposed ypTNM staging, but its accuracy is controversial. This study aims to develop a modified ypTNM staging. PATIENTS AND METHODS: Clinicopathological data of 1,791 patients who underwent curative-intent gastrectomy after neoadjuvant therapy in the Surveillance, Epidemiology, and End Results database, as the development cohort, were retrospectively analyzed. Modified ypTNM staging was established based on overall survival (OS). We compared the prognostic performance of the AJCC 8th edition ypTNM staging and the modified staging for patients after neoadjuvant therapy. RESULTS: In the development cohort, the 5-year OS for AJCC stages I, II, and III was 58.8%, 39.1%, and 21.6%, respectively, compared with 69.9%, 54.4%, 34.4%, 24.1%, and 13.6% for modified ypTNM stages IA, IB, II, IIIA, and IIIB. The modified staging had better discriminatory ability (C-index: 0.620 vs. 0.589, p < .001), predictive homogeneity (likelihood ratio chi-square: 140.71 vs. 218.66, p < .001), predictive accuracy (mean difference in Bayesian information criterion: 64.94; net reclassification index: 35.54%; integrated discrimination improvement index: 0.032; all p < .001), and model stability (time-dependent receiver operating characteristics curves) over AJCC. Decision curve analysis showed that the modified staging achieved a better net benefit than AJCC. In external validation (n = 266), the modified ypTNM staging had superior prognostic predictive power (all p < .05). CONCLUSION: We have developed and validated a modified ypTNM staging through multicenter data that is superior to the AJCC 8th edition ypTNM staging, allowing more accurate assessment of the prognosis of patients with GC after neoadjuvant therapy. IMPLICATIONS FOR PRACTICE: The 8th edition of the American Joint Committee on Cancer (AJCC) Staging Manual first proposed ypTNM staging, but its accuracy is controversial. Based on multi-institutional data, this study developed a modified ypTNM staging, which is superior to the AJCC 8th edition ypTNM staging, allowing more accurate assessment of the prognosis of patients with gastric cancer after neoadjuvant therapy.

An Intraoperative Model for Predicting Survival and Deciding Therapeutic Schedules: A Comprehensive Analysis of Peritoneal Metastasis in Patients With Advanced Gastric Cancer.

Background and Objective: No specialized prognostic model for patients with gastric cancer with peritoneal metastasis (GCPM) exists for intraoperative clinical decision making. This study aims to establish a new prognostic model to provide individual treatment decisions for patients with GCPM. Method: This retrospective analysis included 324 patients with GCPM diagnosed pathologically by laparoscopy from January 2007 to January 2018 who were randomly assigned to different sets (227 in the training set and 97 in the internal validation set). A nomogram was established from preoperative and intraoperative variables determined by a Cox model. The predictive ability and clinical applicability of the PM nomogram (PMN) were compared with the 15th Japanese Classification of Gastric Carcinoma (JCGC) Staging Guidelines for PM (P1abc). Additional external validation was performed using a dataset (n = 39) from the First Affiliated Hospital of University of Science and Technology of China. Results: The median survival time was 8 (range, 1-90) months. In the training set, each PMN substage had significantly different survival curves (P < 0.001), and the PMN was superior to the P1abc based on the results of time-dependent receiver operating characteristic curve, C-index, Akaike information criterion and likelihood ratio chi-square analyses. In the internal and external validation sets, the PMN was also better than the P1abc in terms of its predictive ability. Of the PMN1 patients, those undergoing palliative resection had better overall survival (OS) than those undergoing exploratory surgery (P < 0.05). Among the patients undergoing exploratory surgery, those who received chemotherapy exhibited better OS than those who did not (P < 0.05). Among the patients who received palliative resection, only PMN1 patients exhibited better OS following chemotherapy (P < 0.05). Conclusion: We developed and validated a simple, specific PM model for patients with GCPM that can predict prognosis well and guide treatment decisions.

Advances in laparoscopic surgery for the treatment of advanced gastric cancer in China.

Most gastric cancer (GC) cases are diagnosed at an advanced stage in China. Because of its high morbidity and mortality, GC remains a major health crisis in China. Surgical resection is the only potentially curative treatment for GC. Owing to being minimally invasive, laparoscopic radical gastrectomy has been widely used in various countries, especially in East Asia, since Kitano first reported the feasibility and safety of this technique. Although laparoscopic gastric surgery was introduced relatively late in China, Chinese surgeons have made unique contributions to the research and clinical practice of laparoscopic gastric surgery due to the large number of clinical cases. This review focuses on the progress in laparoscopic gastrectomy for advanced stage GC in China, including reasonable approaches in different areas and oncologic efficacy of laparoscopic surgery, and introduce advanced technology to facilitate surgeons to rapidly overcome the learning curve in clinical practice.

Implications for restaging in gastric cancer with peritoneal metastasis based on the 15th Japanese Classification of Gastric Carcinoma: An analysis from a comprehensive center.

BACKGROUND: and purpose: For gastric cancer patients with peritoneal metastasis (GCPM), there is no universally accepted prognostic staging system. This study aimed to validate the predictive ability of the 15th peritoneal metastasis staging system (P1abc) of the Japanese Classification of Gastric Carcinoma (JCGC). METHODS: The data of 309 GCPM patients from July 2007 to July 2017 were retrospectively analyzed. This study compared the prognosis prediction performances of P1abc, the previous JCGC PM staging (P123) and Gilly staging systems. RESULTS: The survival curve revealed a significant difference in overall survival (OS) predicted by P1abc, P123 and Gilly staging (all P < 0.05), and the survival of the two adjacent substages were well distinguished by P1abc but not by P123 and Gilly staging. Both P123 and Gilly staging were substituted with P1abc staging in a 2-step multivariate analysis. The results showed that P1abc staging was superior to both P123 and Gilly staging in its discriminatory ability (C-index), predictive accuracy (AIC) and predictive homogeneity (likelihood ratio chi-square). A stratified analysis by different therapies indicated that for the P1a and P1b patients, OS following palliative resection combined with palliative chemotherapy (PRCPC) was better than that after palliative resection (PR) or palliative chemotherapy (PC) alone (P < 0.05). For the P1c patients, OS after receiving PC was significantly superior to that after receiving PRCPC or PR (P = 0.021). CONCLUSION: P1abc staging is superior to P123 and Gilly staging in predicting the survival of GCPM patients. Surgeons can provide these patients with appropriate treatment options according to the corresponding substages within P1abc.

Application of preoperative artificial neural network based on blood biomarkers and clinicopathological parameters for predicting long-term survival of patients with gastric cancer.

BACKGROUND: Because of the powerful abilities of self-learning and handling complex biological information, artificial neural network (ANN) models have been widely applied to disease diagnosis, imaging analysis, and prognosis prediction. However, there has been no trained preoperative ANN (preope-ANN) model to preoperatively predict the prognosis of patients with gastric cancer (GC). AIM: To establish a neural network model that can predict long-term survival of GC patients before surgery to evaluate the tumor condition before the operation. METHODS: The clinicopathological data of 1608 GC patients treated from January 2011 to April 2015 at the Department of Gastric Surgery, Fujian Medical University Union Hospital were analyzed retrospectively. The patients were randomly divided into a training set (70%) for establishing a preope-ANN model and a testing set (30%). The prognostic evaluation ability of the preope-ANN model was compared with that of the American Joint Commission on Cancer (8th edition) clinical TNM (cTNM) and pathological TNM (pTNM) staging through the receiver operating characteristic curve, Akaike information criterion index, Harrell's C index, and likelihood ratio chi-square. RESULTS: We used the variables that were statistically significant factors for the 3-year overall survival as input-layer variables to develop a preope-ANN in the training set. The survival curves within each score of the preope-ANN had good discrimination (P < 0.05). Comparing the preope-ANN model, cTNM, and pTNM in both the training and testing sets, the preope-ANN model was superior to cTNM in predictive discrimination (C index), predictive homogeneity (likelihood ratio chi-square), and prediction accuracy (area under the curve). The prediction efficiency of the preope-ANN model is similar to that of pTNM. CONCLUSION: The preope-ANN model can accurately predict the long-term survival of GC patients, and its predictive efficiency is not inferior to that of pTNM stage.

Nomograms for pre- and postoperative prediction of long-term survival among proximal gastric cancer patients: A large-scale, single-center retrospective study.

BACKGROUND: The incidence of proximal gastric cancer (GC) is increasing, and methods for the prediction of the long-term survival of proximal GC patients have not been well established. AIM: To develop nomograms for the prediction of long-term survival among proximal GC patients. METHODS: Between January 2007 and June 2013, we prospectively collected and retrospectively analyzed the medical records of 746 patients with proximal GC, who were divided into a training set (n = 560, 75%) and a validation set (n = 186, 25%). A Cox regression analysis was used to identify the preoperative and postoperative risk factors for overall survival (OS). RESULTS: Among the 746 patients examined, the 3- and 5-year OS rates were 66.1% and 58.4%, respectively. In the training set, preoperative T stage (cT), N stage (cN), CA19-9, tumor size, ASA core, and 3- to 6-mo weight loss were incorporated into the preoperative nomogram to predict the OS. In addition to these variables, lymphatic vascular infiltration (LVI), postoperative tumor size, T stage, N stage, blood transfusions, and complications were incorporated into the postoperative nomogram. All calibration curves used to determine the OS probability fit well. In the training set, the preoperative nomogram achieved a C-index of 0.751 [95% confidence interval (CI): 0.732-0.770] in predicting OS and accurately stratified the patients into four prognostic subgroups (5-year OS rates: 86.8%, 73.0%, 43.72%, and 20.9%, P < 0.001). The postoperative nomogram had a C-index of 0.758 in predicting OS and accurately stratified the patients into four prognostic subgroups (5-year OS rates: 82.6%, 74.3%, 45.9%, and 18.9%, P < 0.001). CONCLUSION: The nomograms accurately predicted the pre- and postoperative long-term survival of proximal GC patients.

Short-term efficacy of robotic and laparoscopic spleen-preserving splenic hilar lymphadenectomy via Huang's three-step maneuver for advanced upper gastric cancer: Results from a propensity score-matched study.

BACKGROUND: Robotic surgery has been considered to be significantly better than laparoscopic surgery for complicated procedures. AIM: To explore the short-term effect of robotic and laparoscopic spleen-preserving splenic hilar lymphadenectomy (SPSHL) for advanced gastric cancer (GC) by Huang's three-step maneuver. METHODS: A total of 643 patients who underwent SPSHL were recruited from April 2012 to July 2017, including 35 patients who underwent robotic SPSHL (RSPSHL) and 608 who underwent laparoscopic SPSHL (LSPSHL). One-to-four propensity score matching was used to analyze the differences in clinical data between patients who underwent robotic SPSHL and those who underwent laparoscopic SPSHL. RESULTS: In all, 175 patients were matched, including 35 patients who underwent RSPSHL and 140 who underwent LSPSHL. After matching, there were no significant differences detected in the baseline characteristics between the two groups. Significant differences in total operative time, estimated blood loss (EBL), splenic hilar blood loss (SHBL), splenic hilar dissection time (SHDT), and splenic trunk dissection time were evident between these groups (P < 0.05). Furthermore, no significant differences were observed between the two groups in the overall noncompliance rate of lymph node (LN) dissection (62.9% vs 60%, P = 0.757), number of retrieved No. 10 LNs (3.1 ± 1.4 vs 3.3 ± 2.5, P = 0.650), total number of examined LNs (37.8 ± 13.1 vs 40.6 ± 13.6, P = 0.274), and postoperative complications (14.3% vs 17.9%, P = 0.616). A stratified analysis that divided the patients receiving RSPSHL into an early group (EG) and a late group (LG) revealed that the LG experienced obvious improvements in SHDT and length of stay compared with the EG (P < 0.05). Logistic regression showed that robotic surgery was a significantly protective factor against both SHBL and SHDT (P < 0.05). CONCLUSION: RSPSHL is safe and feasible, especially after overcoming the early learning curve, as this procedure results in a radical curative effect equivalent to that of LSPSHL.