Nomogram to predict overall survival of patients receiving radical gastrectomy and incomplete peri-operative adjuvant chemotherapy for stage II/III gastric cancer: a retrospective bi-center cohort study

• Published in: BMC cancer Vol. 24; no. 1; p. 344
• Main Authors: Liu, Dian, Quan, Hu, Ma, Min, Zhou, Huijun, Yang, Xiaolin, Wu, Zhengchun, Luo, Jia, Xiao, Hua, Xiao, Yanping
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 18.03.2024; BioMed Central; BMC
• Subjects: Adjuvant chemotherapy; Adjuvant treatment; Analysis; Body mass index; Cancer; Cancer patients; Care and treatment; Chemotherapy; Chemotherapy, Adjuvant; Cohort Studies; Diagnosis; Disease; Gastrectomy; Gastric cancer; Gastrointestinal surgery; Humans; Medical prognosis; Medical records; Methods; Nomogram; Nomograms; Nomography (Mathematics); Oncology, Experimental; Patient outcomes; Patients; Probability; Prognosis; Regression analysis; Retrospective Studies; Software; Stomach cancer; Stomach Neoplasms - drug therapy; Stomach Neoplasms - surgery; Survival; Tumor staging; Validation; China; Validation; Adjuvant chemotherapy; Gastric cancer; Survival; Nomogram
• ISSN: 1471-2407; 1471-2407
• DOI: 10.1186/s12885-024-12103-1

To establish a nomogram to predict the probability of survival of patients with stage II/III gastric cancer (GC) who received incomplete peri-operative adjuvant chemotherapy (PAC). The medical records of stage II/III GC patients who received curative resection and 1 to 5 cycles of PAC from two tertiary hospitals were retrospectively reviewed. Patients were randomly classified into either a training group or validation group at a ratio of 7:3. The nomogram was constructed based on various prognostic factors using Cox regression analysis in the training cohort, and was validated by the validation group. Concordance index and calibration curves were used to evaluate the discrimination and calibration of the nomogram. Additionally, decision curve analysis (DCA) was used to compare the net clinical benefits of the nomogram and eighth version of TNM staging system. A total of 1,070 consecutive patients were included and 749 patients were enrolled into the training group. Lower body mass index (< 18.5 kg/m ), total gastrectomy, stage III disease and fewer cycles of PAC were identified to be independent predictors for poorer survival. The area under the curve (AUC) values of receiver operating characteristics (ROC) curve predicting 5-year survival probabilities and C-index were 0.768 and 0.742, 0.700 (95%CI: 0.674-0.726) and 0.689 (95%CI: 0.646-0.732) in the training and validation groups, respectively. The calibration curves in the validation cohort showed good agreement between the prediction and observation of 1-, 3- and 5-year survival probabilities. Furthermore, DCA showed that our model has a better net benefit than that of TNM staging system. The findings emphasize the value of completing PAC. The nomogram which was established to predict survival probability in patients with stage II/III GC receiving radical gastrectomy and incomplete PAC had good accuracy and was verified through both internal and external validation.