Objective:To investigate the risk factors and prognostic value of the textbook outcome (TO) in patients with advanced gastric cancer (AGC) who underwent neoadjuvant chemotherapy followed by surgical resection.Methods:This is a retrospective cohort study. A total of 253 patients with AGC who underwent neoadjuvant chemotherapy combined with gastrectomy and D2 lymphadenectomy in the Department of Gastric Surgery, Fujian Medical University Union Hospital from January 2010 to December 2019 were retrospectively included. There were 195 males and 58 females, aged (60.3±10.0) years (range: 27 to 75 years). The patients were then divided into the TO group ( n=168) and the non-TO group ( n=85). Multivariate Logistic regression was used to analyze the independent predictors of TO. Univariate and multivariate Cox analysis were used to analyze independent prognosis factors for overall survival (OS) and disease-free survival (DFS). Propensity score matching was performed to balance the TO and non-TO groups, and the Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:Among the 253 patients, 168 patients (66.4%) achieved TO. The Eastern Cooperative Oncology Group score ( OR=0.488, 95% CI: 0.278 to 0.856, P=0.012) and ypN stage ( OR=0.626, 95% CI:0.488 to 0.805, P<0.01) were independently predictive of TO. Multivariate analysis revealed that TO was an independent risk factor for both OS ( HR=0.662, 95% CI: 0.457 to 0.959, P=0.029) and DFS ( HR=0.687, 95% CI: 0.483 to 0.976, P=0.036). After matching, the 5-year OS rate (42.2% vs. 27.8%) and the 5-year DFS rate (37.5% vs. 27.8%) were significantly higher in the TO group than in the non-TO group (both P<0.05). Furthermore, patients in the non-TO group benefited significantly from postoperative chemotherapy (both P<0.05), but those in the TO group did not (both P>0.05). Conclusion:TO is an independent prognosis factor in patients undergoing neoadjuvant chemotherapy and surgery for AGC and is associated with postoperative chemotherapy benefits.

Objective:To investigate the risk factors and prognostic value of the textbook outcome (TO) in patients with advanced gastric cancer (AGC) who underwent neoadjuvant chemotherapy followed by surgical resection.Methods:This is a retrospective cohort study. A total of 253 patients with AGC who underwent neoadjuvant chemotherapy combined with gastrectomy and D2 lymphadenectomy in the Department of Gastric Surgery, Fujian Medical University Union Hospital from January 2010 to December 2019 were retrospectively included. There were 195 males and 58 females, aged (60.3±10.0) years (range: 27 to 75 years). The patients were then divided into the TO group ( n=168) and the non-TO group ( n=85). Multivariate Logistic regression was used to analyze the independent predictors of TO. Univariate and multivariate Cox analysis were used to analyze independent prognosis factors for overall survival (OS) and disease-free survival (DFS). Propensity score matching was performed to balance the TO and non-TO groups, and the Kaplan-Meier method was used to calculate survival rates and draw survival curves. Results:Among the 253 patients, 168 patients (66.4%) achieved TO. The Eastern Cooperative Oncology Group score ( OR=0.488, 95% CI: 0.278 to 0.856, P=0.012) and ypN stage ( OR=0.626, 95% CI:0.488 to 0.805, P<0.01) were independently predictive of TO. Multivariate analysis revealed that TO was an independent risk factor for both OS ( HR=0.662, 95% CI: 0.457 to 0.959, P=0.029) and DFS ( HR=0.687, 95% CI: 0.483 to 0.976, P=0.036). After matching, the 5-year OS rate (42.2% vs. 27.8%) and the 5-year DFS rate (37.5% vs. 27.8%) were significantly higher in the TO group than in the non-TO group (both P<0.05). Furthermore, patients in the non-TO group benefited significantly from postoperative chemotherapy (both P<0.05), but those in the TO group did not (both P>0.05). Conclusion:TO is an independent prognosis factor in patients undergoing neoadjuvant chemotherapy and surgery for AGC and is associated with postoperative chemotherapy benefits.

Objective:To investigate the influencing factors of operation time for laparos-copic sleeve gastrectomy (LSG) and analyze the learning curve of LSG in sarcopenic obesity (SO) and non-sarcopenic obesity (NSO).Methods:The retrospective cohort study was conducted. The clinical data of 240 obesity patients who underwent LSG in the Fujian Medical University Union Hospital from January 2018 to June 2022 were collected. There were 52 males and 188 females, aged (30±8)years. Patients underwent L3 vertebral body horizontal axial computer tomography (CT) scanning before and after receiving LSG to accurately segment muscles and fats. Observation indicators: (1) treatment and follow-up; (2) influencing factors of operation time for LSG; (3) cumulative sum (CUSUM) of learning curve; (4) comparison of clinical data between patients in the initial and profi-cient stages. Measurement data with normal distribution were represent as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M(IQR), and comparison between groups was conducted using the non-parameter test. Count data were described as absolute numbers, and comparison between groups was conducted using the chi-square test. Univariate and multivariate analyses were conducted using the Logistic regression model. The CUSUM of learning curve was calculated and the fitting process was conducted on scatter plot of learning curves. Results:(1) Treatment and follow-up. Of the 240 patients, there were 97 cases of SO and 143 cases of NSO. All 240 patients underwent LSG successfully, without conversion to open surgery. The operation time of 240 patients was (108±23)minutes. None of patient died during the perioperative period and all patients underwent follow-up during the postoperative 6 months. (2) Influencing factors of operation time for LSG. Results of multivariate analysis showed that SO was an independent factor influencing operation time for LSG ( odds ratio=2.207, 95% confidence interval as 1.207-4.038, P<0.05). (3) CUSUM of learning curve. Results of CUSUM of operation time in patients of SO and NSO showed that the best fit equation of patients of SO was y=-4E-08x 6+1E-05x 5-0.001 1x 4+0.063 1x 3-1.89x 2+28.126x-48.671 (x means the number of surgical cases), with goodness-of-fit R 2 as 0.833, and the best fit equation of patients of NSO was y=3E-09x 6-1E-06x 5+0.000 2x 4-0.010 9x 3+0.063 8x 2+12.053x-65.025 (x means the number of surgical cases), with goodness-of-fit R 2 as 0.716. Based on the trend of CUSUM of learning curve of operation time, the peak value of number of surgical cases in patients of SO and NSO was 81 and 36, respec-tively, which was used to divide the learning curve as two stages of the initial stage and the proficient stage. (4) Comparison of clinical data between patients in the initial and proficient stages. ① Of the 97 patients of SO, there were 81 cases and 16 cases in the initial stage and the proficient stage of LSG, with the operation time, postoperative duration of hospital stay as (119±23)minutes, (5.9±2.3)days and (106±21)minutes, (4.7±0.5)days, showing significant differences between them ( t=2.074, 2.147, P<0.05). ②Of the 143 patients of NSO, there were 36 cases and 107 cases in the initial stage and the proficient stage of LSG, with gender (female), height, preoperative body mass, defatted body mass, operation time, postoperative duration of hospital stay, body mass at postoperative 6 month, body mass index (BMI) at postoperative 6 month, percentage of excess weight loss (EWL%) at postoperative 6 month, cases with EWL% >100% at postoperative 6 month, excess BMI at post-operative 6 month as 20, (170±10)cm, (110±25)kg, (57±12)kg, (108±22)minutes, (6.1±1.6)days, (80±16)kg, (27.63±4.22)kg/m2, 83%±35%, 9, 1.99(6.03)kg/m2 and 87, (164±8)cm, (99±20)kg, (52±12)kg, (100±19)minutes, (4.7±1.1)days, (71±16)kg, (25.89±4.48)kg/m2, 103%±42%, 48, 0.31(5.82)kg/m2, showing significant differences between them ( χ2=9.484, t=3.266, 2.424, 2.141, 2.137, 5.821, 2.740, 1.993, -2.524, χ2=4.432, Z=-2.300, P<0.05). Conclusions:SO is an independent factor influencing operation time for LSG. It is suggested that the surgeons need to finish 81 cases and 36 cases master LSG in patients of SO and NSO.

Objective:To investigate the mechanism of action and prognostic value of Dynamin 3 (DNM3) in gastric cancer.Methods:The bioinformatic analysis, experimental study and retrospective cohort study was conducted. The clinicopathological data, fresh gastric cancer tissues, paired normal tissues and the corresponding paraffin sections of 153 gastric cancer patients who underwent radical gastrectomy in Fujian Medical University Union Hospital from January 2013 to July 2018 were collected. Tissues and the corresponding paraffin sections were subjected to quanti-tative real-time polymerase chain reaction, immunoblotting assay, flow cytometric cell cycle assay and immunohistochemical staining, respectively, and clinicopathological data were used for prognostic analysis. The stomach adenocarcinoma (STAD) dataset from the Cancer Genome Atlas (TCGA) database was collected for bioinformatic analysis. Observation indicators: (1) DNM3 gene expression in TCGA-STAD in gastric cancer; (2) mutations and copy number alterations of DNM3 in gastric cancer; (3) methylation level of promoter of DNM3 in gastric cancer; (4) relative protein expression of DNM3 and p53 in gastric cancer; (5) DNM3 correlation and enrichment analysis; (6) ratio of G0/G1 phase, S phase and G2/M phase of cell cycle progression; (7) correlation between immune cell infiltration and DNM3 in gastric cancer; (8) correlation between results of immunohistochemical (IHC) staining and clinical features; (9) analysis of independent factors influencing 5-year overall survival rate of gastric cancer patients. Measurement data with normal distribution were represented as Mean±SD, and comparison among multiple groups was conducted using the ANOVA and further comparison between two groups was conducted using the LSD. Comparison between two groups was conducted using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and compari-son between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the rank sum test. The Pearson correlation coefficient or Spearman correlation coefficient was used to test the correlation between groups. Univariate and multivariate analyses were conducted using the COX proportional risk regression model. The Kaplan-Meier method was used to draw survival curves and calculate survival rates, and the Log-Rank test was used for survival analysis. The Benjamini-Hochberg false discovery rate correction was used for adjusting of the P-value. Results:(1) DNM3 gene expression in TCGA-STAD. The expression levels of DNM3 gene in the 27 tumor tissues and paired normal tissues of the TCGA-STAD database were 0.775(0.605,1.161) and 1.216(0.772,1.681), showing a significant difference between them ( Z=?2.64, P<0.05). The messenger RNA (mRNA) expression levels of DNM3 gene in 48 pairs of gastric cancer tissues and paired normal tissues of the author′s center were 4.370(2.870,6.040) and 2.520(0.850,4.170), showing a significant difference between them ( Z=?4.39, P<0.05). (2) Mutations and copy number alterations of DNM3 in gastric cancer. There were 16 gastric cancer patients in the TCGA-STAD database with DNM3 mutation or somatic copy number alterations, including 6 cases with missense mutations, 1 case with truncated mutation, 8 cases with copy number gain and 1 case with copy number loss. The mRNA expression levels of DNM3 gene before and after mutation in the 370 gastric cancer patients of the TCGA-STAD database were 6.13(5.40,7.08) and 5.02(3.98,5.46), showing a significant difference between them (Log 2FC=?1.11, Z=?2.59, P<0.05). (3) Methylation level of promoter of DNM3 in gastric cancer. There were 372 gastric cancer patients in the TCGA-STAD database undergoing DNM3 methylation and mRNA examinations, and the results showed that levels of methylation and mRNA expression of DNM3 was 0.198 (-0.458, 0.301) and 6.014 (5.141, 6.628), respectively. The levels of methylation in DNM3 was negatively correlated with its mRNA expression ( r=?0.38, P<0.05). Results of follow-up in 32 patients showed that the 3-year overall survival rate of 16 cases with high levels of methylation in DNM3 and 16 cases with low levels of methylation in DNM3 was 18.8% and 41.3%, respectively, showing a significant difference between them ( hazard ratio=1.40, P<0.05). Results of immunoblot-ting assay showed that the relative expression level of DNM3 protein in the AGS cells treated with 0, 0.5, and 1.0 μmol/L of 5-azacytidin was 0.270±0.020, 0.357±0.051 and 0.599±0.039, respectively, showing a significant difference among the three groups ( F=57.84, P<0.05). The relative expression level of DNM3 protein in the HGC-27 cells treated with 0, 0.5, and 1.0 μmol/L of 5-azacytidin was 0.316±0.038, 0.770±0.031 and 0.877±0.052, respectively, showing a significant difference among the three groups ( F=156.30, P<0.05). (4) Relative protein expression of DNM3 and p53 in gastric cancer. Results of immunoblotting assay showed that the relative expression of DNM3 and p53 protein was 0.688±0.047 and 0.872±0.041 in the AGS cells transfected with pCMV-DNM3 plasmid, versus 0.249±0.029 and 0.352±0.020 in the AGS cells transfected with control plasmid, showing significant differences in the above indicators between the two types of cells ( t=13.77,19.74, P<0.05). The relative expression of DNM3 and p53 protein was 0.969±0.069 and 1.464±0.081 in the HGC-27 cells transfected with pCMV-DNM3 plasmid, versus 0.456±0.048 and 0.794±0.052 in the HGC-27 cells transfected with control plasmid, showing significant differences in the above indicators between the two types of cells ( t=10.57, 12.06, P<0.05). (5) DNM3 correlation and enrichment analysis. Results of correlation analysis showed that DNM3 was positively correlated with genes such as RBMS3, CNTN4 and PDE1A ( r=0.52, 0.52, 0.50, P<0.05) and negatively correlated with genes such as SLC25A39, PAICS and GAPDH ( r=?0.41, ?0.40, ?0.40, P<0.05) in gastric cancer. Results of gene set enrichment analysis showed that the set of genes related to ribosome and oxidative phosphorylation were upregulated in gastric cancer patients with DNM3 low expression [normalized enrichment score (NES)=?3.30, ?2.16, P<0.05], while the set of genes related to immunomodulatory interactions between lymphocytes and non-lymphoid cells were upregulated in gastric cancer patients with DNM3 high expression (NES=1.67, P<0.05). Results of gene ontology analysis showed that the low expression of DNM3 was associated with the separation of mitotic sister chromatid (No.0000070), nonsense-mediation of nuclear transcriptional mRNA catabolic process, sister chromatid separation (No.0000819), nuclear transcriptional mRNA catabolic process and regulation of oxidative phos-phorylation (NES=?2.29, ?3.10, ?2.33, ?2.56, ?2.68, P<0.05). Results of Kyoto encycl opedia of genes and genomes analysis showed that metabolic pathway related to ribosome and oxidative phosphory-lation were upregulated and crosstalked in gastric cancer with low expression of DNM3 (NES=?3.34, ?2.21, P<0.05). (6) Ratio of G0/G1 phase, S phase and G2/M phase of cell cycle progression. Results of flow cytometric cell cycle experiments showed that the proportions of G0/G1 phase, S phase and G2/M phase in the cell cycle was 65.1%±3.0%, 17.3%±3.0% and 17.6%±1.0% in the AGS cells transfected with pCMV-DNM3 plasmid, versus 53.4%±4.0%, 26.3%±2.0% and 20.3%±3.0% in the AGS cells transfected with control plasmid, showing significant differences in the proportions of G0/G1 phase and S phase in the two types of cells ( t=4.05, 4.32, P<0.05). (7) Correlation between immune cell infiltration and DNM3 in gastric cancer. Results of immune cell infiltration examination showed that the expression level of DNM3 was positively associated with mast cells, NK cells, pDCs, B cells, follicular helper T cells, effector memory T cells, T cells, central memory T cells, CD8 T cells, DC cells, macrophages, γ-δ T cells (Tgd), iDCs and eosinophils infiltration (Spearman correlation coefficients as 0.41, 0.29, 0.26, 0.20, 0.22, 0.22, 0.13, 0.16, 0.15, 0.14, 0.14, 0.17, 0.18, 0.22, P<0.05) and negatively associated with Th17 cell, Th2 cells and NK CD56 dim cells infiltration ( r=?0.18, ?0.23, ?0.10, P<0.05). (8) Correlation between results of IHC staining and clinical features. Results of IHC staining analysis showed that the IHC score of DNM3 was 3(2,4) in the 105 gastric cancer tissues, versus 6(4,9) in the 105 paired normal tissues, showing a significant difference between them ( Z=-7.35, P<0.05). There were significant differences in gender, tumor location and N stating between the 70 patients with low expression of DNM3 and the 35 patients with high expression of DNM3 ( χ2=4.29, 7.67, 6.86, P<0.05). (9) Analysis of independent factors influencing 5-year overall survival rate of gastric cancer patients. Results of multivariate analysis showed that stage pT3?4 and low IHC score of DNM3 were independent risk factors for 5-year overall survival rate of gastric cancer patients ( hazard ratio=1.91, 0.51, 95% confidence interval as 1.06?3.43, 0.26?0.98, P<0.05). The 5-year overall survival rate was 44.3% in patients with low expression of DNM3, versus 65.7% in gastric cancer patients with high expression of DNM3, showing a significant difference between them ( χ2=5.02, P<0.05). Conclusion:DNM3 is a tumor suppressor and an independent predictor of poor prognosis for gastric cancer, which may regulate gastric cancer cell cycle and immunosuppression in the tumor microenvironment through methylation.

Objective:To investigate the construction and application value of a predictive model for prolonged surgical duration in Da Vinci robotic radical gastrectomy for gastric cancer.Methods:The retrospective cohort study was conducted. The clinicopathological data of 534 patients who underwent Da Vinci robotic radical gastrectomy for gastric cancer in the Fujian Medical University Union Hospital from August 2016 to August 2021 were collected. There were 389 males and 145 females, aged (60±11)years. All 534 patients were randomly divided into the training dataset of 374 cases and the validation dataset of 160 cases with a ratio of 7∶3 based on random number method in the SPSS 25.0 software. Observation indicators: (1) incidence of prolonged surgical duration; (2) intraoperative and postoperative conditions in patients with prolonged surgical duration and without prolonged surgical duration; (3) complications in patients with prolonged surgical duration and without prolonged surgical duration; (4) analysis of risk factors influencing prolonged surgical duration; (5) construction and evaluation of an artificial neural network predictive model for pro-longed surgical duration. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the independent sample t test. Measurement data with skewed distribution were represented as M( Q1, Q3), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers or per-centages, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was analyzed using the nonparametric test. Univariate and multivariate analyses were conducted using the Logistic regression model. Based on the results of univariate analysis, a multilayer perceptron was employed to train an artificial neural network pre-dictive model for prolonged surgical duration. The receiver operating characteristic (ROC) curve was drawn, and the area under curve (AUC), the accuracy, sensitivity, specificity, positive predictive value, and negative predictive value were used to assess the model′s performance. Results:(1) Incidence of prolonged surgical duration. Of 534 patients, 284 cases underwent total gastrectomy, and 250 cases underwent distal gastrectomy, with operation time of (206±42)minutes and (187±36)minutes, res-pectively. Cases with prolonged surgical duration and without prolonged surgical duration who under-went total gastrectomy were 41 and 243, and cases with prolonged surgical duration and without prolonged surgical duration who underwent distal gastrectomy were 40 and 210. The gender (male, female), age, body mass index (BMI), tumor diameter, tumor location (upper stomach, middle stomach, lower stomach, mixed type), cases with neoadjuvant therapy, cases with preoperative American Society of Anesthesiologists (ASA) score as 1, 2, 3, cases with clinical T staging as stage T1, stage T2, stage T3, stage T4a, cases with clinical N staging as stage N0, stage N1, stage N2, stage N3, cases with clinical TNM staging as stage Ⅰ, stage Ⅱ, stage Ⅲ, cases with surgical resection scope as total gastrec-tomy or distal gastrectomy, cases with digestive tract reconstruction method as Billroth-Ⅰ anasto-mosis, Billroth-Ⅱ anastomosis, Roux-en-Y anastomosis, cases with surgeon experiences as ≤20 cases or >20 cases were 61,20, (61±9)years, (24±3)kg/m2, 4.0(2.5, 5.0)cm, 34, 10, 33, 4, 1, 3, 73, 5, 3, 6, 26, 46, 14, 41, 19, 7, 5, 13, 63, 41, 40, 1, 33, 47, 5, 76 in the 81 patients with prolonged surgical duration, versus 328, 125, (60±11)years, (23±3)kg/m2, 3.5(2.0, 5.0)cm, 129, 71, 227, 26, 6, 45, 382, 26, 73, 100, 118, 162, 211, 180, 52, 10, 138, 108,207, 243, 210, 13,200, 240, 15, 438 in the 453 patients without prolonged surgical duration, showing significant differences in the BMI, clinical T staging, clinical N staging, clinical TNM staging ( t=-3.68, Z=-4.63, -5.53, -5.56, P<0.05), and no significant difference in the gender, age, tumor diameter, tumor location, preoperative ASA score, surgical resec-tion scope, digestive tract reconstruction method, and surgeon experiences ( χ2=0.29, t=-0.95, Z=-1.27, χ2=5.92, Z=-1.46, χ2=0.25, 1.35, 0.87, P>0.05). There was no significant difference in cases with neoadjuvant therapy between them ( P>0.05). (2) Intraoperative and postoperative conditions in patients with prolonged surgical duration and without prolonged surgical duration. The operation time, volume of intraoperative blood loss, the number of lymph nodes dissected, time to postopera-tive first ambulation, time to postoperative anal exhaust, time to postoperative first intake of liquid diet, time to postoperative first intake of semi-liquid diet, duration of postoperative hospital stay were (261±34)minutes, 50(30, 50)mL, 39±15, (2.3±0.6)days, (3.4±0.9)days, (4.1±1.2)days, (5.7±1.2)days, 8.0(7.0, 9.0)days in the 81 patients with prolonged surgical duration, versus (186±29)minutes, 30(20,50)mL, 42±14, (2.2±0.6)days, (3.4±0.8)days, (4.1±1.1)days, (5.7±1.4)days, 8.0(7.0, 9.0)days in the 453 patients without prolonged surgical duration, showing significant differences in operation time, volume of intraoperative blood loss ( t=-20.46, Z=-3.32, P<0.05), and no significant difference in the number of lymph nodes dissected, time to postoperative first ambulation, time to postopera-tive anal exhaust, time to postoperative first intake of liquid diet, time to first intake of semi-liquid diet, duration of postoperative hospital stay ( t=1.87, -0.87, -0.16, 0.28, 0.03, Z=-1.45, P>0.05). (3) Complications in patients with prolonged surgical duration and without prolonged surgical duration. The overall incidence of complications, incidence of surgical complications (abdominal infection, anastomotic fistula, abdominal bleeding, incision-related complications, intestinal obstruction, lymphatic fistula), incidence of medical complications (pulmonary infection, liver-related complications) were 22.22%(18/81), 0, 0, 2.47%(2/81), 0, 8.64%(7/81), 1.23%(1/81), 12.35%(10/81), 1.23%(1/81) in the 81 patients with prolonged surgical duration, versus 13.47%(61/453), 2.65%(12/453), 0.44%(2/453), 1.77%(8/453), 0.44%(2/453), 3.31%(15/453), 0, 7.28%(33/453), 1.55%(7/453) in the 453 patients without prolonged surgical duration, showing a significant difference in the overall incidence of complications ( χ2=4.18, P<0.05), and no significant difference in the incidence of abdo-minal infection, anastomotic fistula, abdominal bleeding, incision-related complications, intestinal obstruction, lymphatic fistula, liver-related complications ( P>0.05). There was no significant difference in the incidence of pulmonary infection between them ( χ2=2.38, P>0.05). (4) Analysis of risk factors influencing prolonged surgical duration. Results of univariate analysis showed that BMI ≥25 kg/m2, tumor located in the lower stomach, clinical T3-T4a stage, clinical N1-N3 stage were correlated factors influencing prolonged surgical duration in Da Vinci robotic radical gastrectomy for gastric cancer ( odds ratio=1.88, 0.40, 6.24, 6.51, 3.08, 3.39, 17.15, 95% confidence interval as 1.03-3.42, 0.21-0.76, 1.40-27.76, 1.50-28.30, 1.43-6.60, 1.29-8.92, 4.84-60.74, P<0.05). Results of multivariate analysis showed that BMI ≥25 kg/m2, clinical T3 stage, clinical N3 stage were independent risk factors influencing prolonged surgical duration in Da Vinci robotic radical gastrectomy for gastric cancer ( odds ratio=2.31, 4.97, 11.08, 95% confidence interval as 1.19-4.46, 1.05-23.55, 2.72-45.13, P<0.05). (5) Construction and evaluation of an artificial neural network predictive model for pro-longed surgical duration. The BMI, tumor location, clinical T staging, and clinical N staging were incorporated into a multilayer perceptron to construct an artificial neural network predictive model for prolonged surgical duration. Results of ROC curve showed that the AUC, accuracy, sensitivity, specificity, positive predictive value, negative predictive value of the predictive model in the training dataset were 0.73 (95% confidence interval as 0.68-0.78), 91.4%, 68.1%, 94.8%, 65.3%, 95.4%. The above indicators of the predictive model in the validation dataset 0.72 (95% confidence interval as 0.65-0.79), 88.1%, 67.6%, 93.7%, 74.2%, 91.5%. Conclusions:BMI ≥25 kg/m2, clinical T3 stage, clinical N3 stage are independent risk factors influencing prolonged surgical duration in Da Vinci robotic radical gastrectomy for gastric cancer. The artificial neural network predictive model con-structed based on BMI, tumor location, clinical T staging, and clinical N staging can effectively predict patients at high risk of prolonged surgical duration in Da Vinci robotic radical gastrectomy for gastric cancer.

Objectives:To construct a nomogram prediction model using common preoperative indicators for early weight loss (EWL) 1 year after laparoscopic sleeve gastrectomy (LSG).Methods:Relevant data of obese patients who had undergone LSG from January 2015 to May 2022 in Fujian Medical University Union Hospital and Quanzhou First Hospital Affiliated Fujian Medical University were analyzed. Patients with a history of major abdominal surgery, severe gastroesophageal reflux disease, pregnancy within 1 year after surgery, or who were lost to follow-up were excluded, resulting in a total of 200 patients in the study (190 from Fujian Medical University Union Hospital and 10 from Quanzhou First Hospital Affiliated Fujian Medical University). The participants were 51 men and 149 women of a mean age 29.9±8.2 years and a body mass index (BMI) 38.7±6.5 kg/m 2. All patients in this group underwent standardized LSG procedure. Achieving ideal weight (BMI≤25 kg/m 2) 1 year after LSG was defined as goal of EWL. Logistic regression analyses were performed to identify factors that independently influenced EWL. These factors were incorporated into the nomogram model. Receiver operating characteristic (ROC) curves (the larger the area under the curve [AUC], the better the predictive ability and accuracy of the model), likelihood ratio test (higher likelihood ratio indicates greater model homogeneity), decision curve analysis (higher net benefit indicates a better model), Akaike information criterion (AIC; smaller AIC indicates a better model), and Bayesian information criterion (BIC; smaller BIC indicates a better model) were used to validate the predictive ability of the column line diagram model. Results:In this study of 200 obese patients who underwent LSG surgery, 136 achieved EWL goal, whereas the remaining 64 did not. The rate of EWL goal achievement of the entire group was 68.0%. Compared with patients who did not achieve EWL goal, those who did had lower BMI, alanine transaminase, aspartate transaminase, triglycerides, and higher cholesterol. Additionally, the proportion of female was higher and the proportions of patients with fatty liver and hypertension lower in those who achieved EWL goal (all P<0.05). Univariate and multivariate logistic regression analysis revealed that preoperative BMI (OR=0.852, 95%CI: 0.796-0.912, P<0.001), alanine transaminase (OR=0.992, 95%CI: 0.985-0.999, P=0.024), presence of fatty liver (OR=0.185, 95%CI: 0.038-0.887, P=0.035) and hypertension (OR=0.374, 95%CI: 0.144-0.969, P=0.043) were independently associated with failure to achieve EWL goal. Cholesterol (OR=1.428, 95%CI: 1.052-1.939, P=0.022) was independently associated with achieving EWL goal. We used the above variables to establish an EWL nomogram model. ROC analysis, the likelihood ratio test, decision curve analysis, and AIC all revealed that the predictive value of the model was better than that of BMI alone (nomogram model vs. BMI: area under the curve 0.840 vs. 0.798, P=0.047; likelihood ratio: 58.785 vs. 36.565, AIC: 193.066 vs. 207.063, BIC: 212.856 vs. 213.660). Conclusion:Our predictive model is more accurate in predicting EWL after LSG compared with using BMI.

Objectives:To construct a nomogram prediction model using common preoperative indicators for early weight loss (EWL) 1 year after laparoscopic sleeve gastrectomy (LSG).Methods:Relevant data of obese patients who had undergone LSG from January 2015 to May 2022 in Fujian Medical University Union Hospital and Quanzhou First Hospital Affiliated Fujian Medical University were analyzed. Patients with a history of major abdominal surgery, severe gastroesophageal reflux disease, pregnancy within 1 year after surgery, or who were lost to follow-up were excluded, resulting in a total of 200 patients in the study (190 from Fujian Medical University Union Hospital and 10 from Quanzhou First Hospital Affiliated Fujian Medical University). The participants were 51 men and 149 women of a mean age 29.9±8.2 years and a body mass index (BMI) 38.7±6.5 kg/m 2. All patients in this group underwent standardized LSG procedure. Achieving ideal weight (BMI≤25 kg/m 2) 1 year after LSG was defined as goal of EWL. Logistic regression analyses were performed to identify factors that independently influenced EWL. These factors were incorporated into the nomogram model. Receiver operating characteristic (ROC) curves (the larger the area under the curve [AUC], the better the predictive ability and accuracy of the model), likelihood ratio test (higher likelihood ratio indicates greater model homogeneity), decision curve analysis (higher net benefit indicates a better model), Akaike information criterion (AIC; smaller AIC indicates a better model), and Bayesian information criterion (BIC; smaller BIC indicates a better model) were used to validate the predictive ability of the column line diagram model. Results:In this study of 200 obese patients who underwent LSG surgery, 136 achieved EWL goal, whereas the remaining 64 did not. The rate of EWL goal achievement of the entire group was 68.0%. Compared with patients who did not achieve EWL goal, those who did had lower BMI, alanine transaminase, aspartate transaminase, triglycerides, and higher cholesterol. Additionally, the proportion of female was higher and the proportions of patients with fatty liver and hypertension lower in those who achieved EWL goal (all P<0.05). Univariate and multivariate logistic regression analysis revealed that preoperative BMI (OR=0.852, 95%CI: 0.796-0.912, P<0.001), alanine transaminase (OR=0.992, 95%CI: 0.985-0.999, P=0.024), presence of fatty liver (OR=0.185, 95%CI: 0.038-0.887, P=0.035) and hypertension (OR=0.374, 95%CI: 0.144-0.969, P=0.043) were independently associated with failure to achieve EWL goal. Cholesterol (OR=1.428, 95%CI: 1.052-1.939, P=0.022) was independently associated with achieving EWL goal. We used the above variables to establish an EWL nomogram model. ROC analysis, the likelihood ratio test, decision curve analysis, and AIC all revealed that the predictive value of the model was better than that of BMI alone (nomogram model vs. BMI: area under the curve 0.840 vs. 0.798, P=0.047; likelihood ratio: 58.785 vs. 36.565, AIC: 193.066 vs. 207.063, BIC: 212.856 vs. 213.660). Conclusion:Our predictive model is more accurate in predicting EWL after LSG compared with using BMI.

Gastric cancer is one of the most common malignant tumors in the digestive system. At present, surgery is still the main treatment for gastric cancer and the consensus has been reached that D 2 lymph node dissection should be performed for advanced gastric cancer. Laparos-copic distal gastrectomy for locally advanced gastric cancer completed by experienced surgeons was comparable to open surgery in terms of safety and oncology. Laparoscopic spleen preserving splenic hilar lymph node dissection is safety and effective. Adjuvant chemotherapy and neoadjuvant chemo-therapy can prolong postoperative survival time of gastric cancer patients. The common chemo-therapy regimens are single drug S-1, XELOX regimen or S-1 combined with docetaxel. DOS regimen, SOX regimen and FLOT regimen are commonly used neoadjuvant chemotherapy regimens. Molecular targeted drugs or immunotherapeutic drugs has not been approved for the perioperative first-line treatment of locally advanced gastric cancer, but more and more clinical research results suggest that the combination of targeted therapy or immunotherapy can improve the R 0 rate or pathological complete response rate. There is no evidence to support that combination treatment can prolong survival time. The best comprehensive treatment for advanced gastric cancer is not unified, which needs further researches.

Objective:To investigate the influences of age-adjusted Charlson comorbidity index (ACCI) on prognosis of patients undergoing laparoscopic radical gastrectomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 242 gastric cancer patients who underwent laparoscopic radical gastrectomy in 19 hospitals of the Chinese Laparoscopic Gastrointestinal Surgery Study Group-04 study, including 54 patients in Fujian Medical University Union Hospital, 32 patients in the First Hospital of Putian City, 32 patients in Renji Hospital Affiliated to Shanghai Jiaotong University School of Medicine, 31 patients in Zhangzhou Affiliated Hospital of Fujian Medical University, 17 patients in Nanfang Hospital of Southern Medical University, 11 patients in the First Affiliated Hospital with Nanjing Medical University, 8 patients in Qinghai University Affiliated Hospital, 8 patients in Meizhou People′s Hospital, 7 patients in Fujian Provincial Hospital, 6 patients in Zhongshan Hospital of Fudan University, 6 patients in Longyan First Hospital, 5 patients in the First Affiliated Hospital of Xinjiang Medical University, 5 patients in the First Hospital Affiliated to Army Medical University, 4 patients in the Second Affiliated Hospital of Guangzhou University of Traditional Chinese Medicine, 4 patients in West China Hospital of Sichuan University, 4 patients in Beijing University Cancer Hospital, 3 patients in the First Affiliated Hospital of Xiamen University, 3 patients in Guangdong Provincial People′s Hospital, 2 patients in the First Affiliated Hospital of Xi′an Jiaotong University, from September 2016 to October 2017 were collected. There were 193 males and 49 females, aged 62(range, 23?74)years. Observation indicators: (1) age distribution, comorbidities and ACCI status of patients; (2) the grouping of ACCI and comparison of clinicopathological characteristics of patients in each group; (3) incidence of postoperative early complications and analysis of factors affecting postoperative early complications; (4) follow-up; (5) analysis of factors affecting the 3-year recurrence-free survival rate of patients. Follow-up was conducted using outpatient examination or telephone interview to detect postoperative survival of patients up to December 2020. Measurement data with normal distribution were represented as Mean± SD, and comparison between groups was conducted using the t test. Measurement data with skewed distribution were represented as M( Q1, Q3) or M(range), and comparison between groups was conducted using the Mann-Whitney U test. Count data were described as absolute numbers or percentages, and comparison between groups was conducted using the chi-square test or Fisher exact probability. Comparison of ordinal data was conducted using the nonparametric rank sum test. The X-Tile software (version 3.6.1) was used to analyze the best ACCI grouping threshold. The Kaplan-Meier method was used to calculate survival rates and draw survival curves. The Log-Rank test was used for survival analysis. The Logistic regression model was used to analyze the factors affecting postoperative early complications. The COX proportional hazard model was used for univariate and multivariate analyses of factors affecting the 3-year recurrence-free survival rate of patients. Multivariate analysis used stepwise regression to include variables with P<0.05 in univariate analysis and variables clinically closely related to prognosis. Results:(1) Age distribution, comor-bidities and ACCI status of patients. Of the 242 patients, there were 28 cases with age <50 years, 68 cases with age of 50 to 59 years, 113 cases with age of 60 to 69 years, 33 cases with age of 70 to 79 years. There was 1 patient combined with mild liver disease, 1 patient combined with diabetes of end-organ damage, 2 patients combined with peripheral vascular diseases, 2 patients combined with peptic ulcer, 6 patients combined with congestive heart failure, 8 patients combined with chronic pulmonary diseases, 9 patients with diabetes without end-organ damage. The ACCI of 242 patients was 2 (range, 0-4). (2) The grouping of ACCI and comparison of clinicopathological characteristics of patients in each group. Results of X-Tile software analysis showed that ACCI=3 was the best grouping threshold. Of the 242 patients, 194 cases with ACCI <3 were set as the low ACCI group and 48 cases with ACCI ≥3 were set as the high ACCI group, respectively. Age, body mass index, cases with preoperative comorbidities, cases of American Society of Anesthesiologists classification as stage Ⅰ, stage Ⅱ, stage Ⅲ, tumor diameter, cases with tumor histological type as signet ring cell or poorly differentiated adenocarcinoma and cases with tumor type as moderately or well differentiated adenocarcinoma, cases with tumor pathological T staging as stage T1, stage T2, stage T3, stage T4, chemotherapy cycles were (58±9)years, (22.6±2.9)kg/m 2, 31, 106, 85, 3, (4.0±1.9)cm, 104, 90, 16, 29, 72, 77, 6(4,6) in the low ACCI group, versus (70±4) years, (21.7±2.7)kg/m 2, 23, 14, 33, 1, (5.4±3.1)cm, 36, 12, 3, 4, 13, 28, 4(2,5) in the high ACCI group, showing significant differences in the above indicators between the two groups ( t=-14.37, 1.98, χ2=22.64, Z=-3.11, t=-2.91, χ2=7.22, Z=-2.21, -3.61, P<0.05). (3) Incidence of postoperative early complications and analysis of factors affecting postoperative early complications. Of the 242 patients, 33 cases had postoperative early complications, including 20 cases with local complications and 16 cases with systemic complica-tions. Some patients had multiple complications at the same time. Of the 20 patients with local complications, 12 cases had abdominal infection, 7 cases had anastomotic leakage, 2 cases had incision infection, 2 cases had abdominal hemorrhage, 2 cases had anastomotic hemorrhage and 1 case had lymphatic leakage. Of the 16 patients with systemic complications, 11 cases had pulmonary infection, 2 cases had arrhythmias, 2 cases had sepsis, 1 case had liver failure, 1 case had renal failure, 1 case had pulmonary embolism, 1 case had deep vein thrombosis, 1 case had urinary infection and 1 case had urine retention. Of the 33 cases with postoperative early complications, there were 3 cases with grade Ⅰ complications, 22 cases with grade Ⅱ complications, 5 cases with grade Ⅲa complications, 2 cases with grade Ⅲb complications and 1 case with grade Ⅳ complica-tions of Clavien-Dindo classification. Cases with postoperative early complications, cases with local complications, cases with systemic complications were 22, 13, 9 in the low ACCI group, versus 11, 7, 7 in the high ACCI group, respectively. There were significant differences in cases with postoperative early complications and cases with systemic complications between the two groups ( χ2=4.38, 4.66, P<0.05), and there was no significant difference in cases with local complications between the two groups ( χ2=2.20, P>0.05). Results of Logistic regression analysis showed that ACCI was a related factor for postoperative early complications of gastric cancer patients undergoing laparoscopic radical gastrectomy [ odds ratio=2.32, 95% confidence interval ( CI) as 1.04-5.21, P<0.05]. (4) Follow-up. All the 242 patients were followed up for 36(range,1?46)months. During the follow-up, 53 patients died and 13 patients survived with tumor. The 3-year recurrence-free survival rate of the 242 patients was 73.5%. The follow-up time, cases died and cases survived with tumor during follow-up, the 3-year recurrence-free survival rate were 36(range, 2-46)months, 29, 10, 80.0% for the low ACCI group, versus 35(range, 1-42)months, 24, 3, 47.4% for the high ACCI group. There was a significant difference in the 3-year recurrence-free survival rate between the two groups ( χ2=30.49, P<0.05). (5) Analysis of factors affecting the 3-year recurrence-free survival rate of patients. Results of univariate analysis showed that preoperative comorbidities, ACCI, tumor diameter, histological type, vascular invasion, lymphatic invasion, neural invasion, tumor pathological TNM staging, postoperative early complications were related factors for postoperative 3-year recurrence-free survival rate of gastric cancer patients undergoing laparoscopic radical gastrectomy [ hazard ratio ( HR)=2.52, 3.64, 2.62, 0.47, 2.87, 1.90, 1.86, 21.77, 1.97, 95% CI as 1.52-4.17, 2.22-5.95, 1.54-4.46, 0.27-0.80, 1.76-4.70, 1.15-3.12, 1.10-3.14, 3.01-157.52, 1.11-3.50, P<0.05]. Results of multivariate analysis showed that ACCI, tumor pathological TNM staging, adjuvant chemotherapy were indepen-dent influencing factors for postoperative 3-year recurrence-free survival rate of gastric cancer patients undergoing laparoscopic radical gastrectomy ( HR=3.65, 11.00, 40.66, 0.39, 95% CI as 2.21-6.02, 1.40-86.73, 5.41-305.69, 0.22-0.68, P<0.05). Conclusions:ACCI is a related factor for post-operative early complications of gastric cancer patients undergoing laparos-copic radical gastrectomy. ACCI, tumor pathological TNM staging, adjuvant chemotherapy are indepen-dent influencing factors for postoperative 3-year recurrence-free survival rate of gastric cancer patients undergoing laparoscopic radical gastrectomy.

Objective:To investigate the clinical value of muscle index changing value during neoadjuvant chemotherapy in predicting the prognosis of gastric cancer after radical gastrec-tomy.Methods:The retrospective cohort study was conducted. The clinicopathological data of 362 gastric cancer patients undergoing neoadjuvant chemotherapy combined with radical gastrectomy in 3 medical centers, including 163 cases in Fujian Medical University Union Hospital, 141 cases in the Affiliated Hospital of Qinghai University and 58 cases in St. Mary′s Hospital, from January 2010 to December 2017 were collected. There were 270 males and 92 females, aged from 26 to 79 years, with a median age of 61 years. Of 362 patients, 304 cases in Fujian Medical University Union Hospital and the Affiliated Hospital of Qinghai University were allocated into modeling group and 58 cases in St. Mary′s Hospital were allocated into validation group. Observation indicators: (1) changes of indicators including body composition parameters, tumor markers and stress status indicators in patients in modeling group during neoadjuvant chemotherapy; (2) follow-up and survival of patients; (3) analysis of risk factor affecting prognosis of patients in modeling group; (4) construc-tion and comparison of prognostic prediction models; (5) evaluation of prognostic prediction models. Follow-up was conducted using outpatient examination, telephone interview and mail communication to detect postoperative survival of patients up to April 2021. Measurement data with normal distribution were represented as Mean± SD. Measurement data with skewed distribution were represented as M(range). Count data were described as absolute numbers. Univariate and multivariate analysis were performed using the COX proportional hazard model. The Kaplan-Meier method was used to calculate survival rates and draw survival curves. The Log-rank test was used for survival analysis. Results:(1) Changes of indicators including body composition parameters, tumor markers and stress status indicators in patients in modeling group during neoadjuvant chemotherapy: the subcutaneous adipose index, visceral adipose index, muscle index, carcinoem-bryonic antigen, CA19-9, body mass index, prognostic nutritional index and modified systemic inflammation score of 304 gastric cancer patients in the modeling group before neoadjuvant chemotherapy were 31.2 cm 2/m 2(range, 0.6?96.0 cm 2/m 2), 25.1 cm 2/m 2(range, 0.1?86.3 cm 2/m 2), 47.1 cm 2/m 2(range, 27.6?76.6 cm 2/m 2), 43.2 μg/L(range, 0.2?1 000.0 μg/L), 108.7(range, 0.6? 1 000.0)U/mL, 21.9 kg/m 2(range, 15.6?29.7 kg/m 2), 46.8(range, 28.6?69.0), 1.0±0.8, respectively. The above indicators of 304 gastric cancer patients in the modeling group before radical gastrec-tomy were 32.5 cm 2/m 2(range, 5.1?112.0 cm 2/m 2), 25.4 cm 2/m 2(range, 0.2?89.0 cm 2/m 2), 47.0 cm 2/m 2(range, 16.8?67.0 cm 2/m 2), 17.0 μg/L(range, 0.2?1 000.0 μg/L), 43.9 U/mL(range, 0.6?1 000.0 U/mL), 21.6 kg/m 2(range, 31.1?29.0 kg/m 2), 47.7(range, 30.0?84.0), 1.0±0.8, respectively. The changing value of above indicators of 304 gastric cancer patients in the modeling group during neoadjuvant chemotherapy were 1.4 cm 2/m 2(range, ?31.0?35.1 cm 2/m 2), 0.2 cm 2/m 2(range, ?23.5?32.6 cm 2/m 2), ?0.1 cm 2/m 2(range, ?18.2?15.9 cm 2/m 2), ?26.2 μg/L(range, ?933.5?89.9 μg/L), ?64.9 U/mL(range, ?992.1?178.6 U/mL), ?0.3 kg/m 2(range, ?9.7?7.1 kg/m 2), 0.9(range, ?27.1?38.2), 0.0±0.8, respec-tively. (2) Follow-up and survival of patients: 284 of 304 patients in the modeling group were followed up for 3 to 130 months, with a median follow-up time of 36 months. During follow-up, 130 cases died of tumor recurrence and metastasis and 9 cases died of non-tumor causes. The 5-year overall survival rate was 54.6%. Fifty-two of 58 patients in the validation group were followed up for 2 to 91 months, with a median follow-up time of 29 months. During follow-up, 21 cases died with the 5-year overall survival rate of 63.8%. (3) Analysis of risk factor affecting prognosis of patients in modeling group: results of univariate analysis showed that the postoperative pathological type and postoperative pathological staging were related factors affecting 5-year overall survival rate [ hazard ratio=1.685, 2.619, 95% confidence interval(CI): 1.139?2.493, 1.941?3.533, P<0.05] and 5-year progression free rate survival of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio=1.468, 2.577, 95% CI: 1.000?2.154, 1.919?3.461, P<0.05). Results of multivariate analysis showed that the postoperative pathological type and postoperative pathological staging were independent influencing factors for 5-year overall survival rate of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio=1.508, 2.287, 95% CI: 1.013?2.245, 1.691?3.093, P<0.05) and the postoperative patholo-gical staging was an independent influencing factor for 5-year progression free survival rate of 304 gastric cancer patients in the modeling group after radical gastrectomy ( hazard ratio= 2.317,95% CI: 1.719?3.123, P<0.05). (4) Construction and comparison of prognostic prediction models: the area under curve (AUC) of prognostic prediction model of subcutaneous adipose index changing value, visceral adipose index changing value, carcinoembryonic antigen changing value, CA19-9 changing value, body mass index changing value, prognostic nutritional index changing value, modified systemic inflammation score changing value for 304 gastric cancer patients in the modeling group were 0.549(95% CI: 0.504?0.593), 0.501(95% CI: 0.456?0.546), 0.566(95% CI: 0.521?0.610), 0.519(95% CI: 0.474?0.563), 0.588(95% CI: 0.545?0.632), 0.553(95% CI: 0.509?0.597), 0.539(95% CI: 0.495?0.584). The AUC of prognostic prediction model of muscle index changing value was 0.661(95% CI: 0.623?0.705) with significant differences to the AUC of prognostic predic-tion model of subcutaneous adipose index changing value, visceral adipose index changing value, carcinoembryonic antigen changing value, CA19-9 changing value, body mass index changing value, prognostic nutritional index changing value, modified systemic inflammation score changing value, respectively ( Z=3.960, 5.326, 3.353, 4.786, 2.455, 3.448, 3.987, P<0.05). The optimum cut-off value was 0.7 cm 2/m 2 for prognostic prediction model of muscle index changing. Kaplan-Meier survival curve showed there were significant differences of overall survival and progression free survival for gastric cancer patients with subcutaneous adipose index changing value <0.7 cm 2/m 2 and ≥0.7 cm 2/m 2 in the modeling group ( χ2 =27.510, 21.830, P<0.05). The nomogram prognostic prediction model was cons-tructed based on 3 prognostic indicators including muscle index change value combined with postoperative pathological type and postoperative pathological staging and the AUC of nomogram prognostic prediction model were 0.762(95% CI: 0.708?0.815) and 0.788(95% CI: 0.661?0.885) for the modeling group and the validation group, respectively. The AUC of postoperative pathological staging prognostic prediction model were 0.706(95% CI: 0.648?0.765) and 0.727(95% CI: 0.594?0.835)for the modeling group and the validation group, respectively. There were significant differences of the AUC between the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging and the postoperative pathological staging prognostic prediction model in the modeling group and the validation group, respectively ( Z=3.522, 1.830, P<0.05). (5) Evaluation of prognostic prediction models: the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging showed that patients with score of 0-6 were classified in the low risk group, patients with score of >6 and ≤10 were classified in the moderate-low risk group, patients with score of >10 and ≤13 were classified in the moderate-high risk group and patients with score of >13 were classified in the high risk group. Kaplan-Meier survival curve showed there were significant differences of the overall survival between the low risk group, moderate-low risk group, moderate-high risk group and high risk group patients in the modeling group and the validation group, respectively ( χ2 =75.276, 14.989, P<0.05). Results of decision making curve showed the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging had better clinical utility than the postoperative pathological staging prognostic prediction model in the modeling group and the validation group. Conclusions:The muscle index changing value of gastric cancer patient during neoadjuvant chemotherapy can be used as a prognostic indicator for gastric cancer patient prognosis after radical gastrectomy. The risk score of the nomogram prognostic prediction model of muscle index change value combined with postoperative pathological type and postoperative pathological staging can be used to evaluate the survival and prognosis of gastric cancer patients after radical gastrectomy.