Analysis and external validation of a nomogram to predict peritoneal dissemination in gastric cancer

Chen, Xijie; Chen, Shi; Wang, Xinyou; Nie, Run‐Cong; Chen, Dongwen; Xiang, Jun; Lin, Yujun; Peng, Junsheng

doi:10.21147/j.issn.1000-9604.2020.02.07

Cited by 10 publications

(8 citation statements)

References 41 publications

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“…Thus, in clinical practice, the study of independent predictors and the development of a predictive nomogram for the peritoneal recurrence of GC may serve as a powerful tool for forming a cohort of patients with indications for adjuvant intraperitoneal chemotherapy. There are only a few reports on this subject in the literature [14]. Based on the results of monovarietal analysis of about three dozen potential factors and multivariate analysis, we identifi ed four independent predictive factors of peritoneal recurrence of GC based on which we built a nomogram: invasion of the serosal membrane, area of serosal invasion, morphological type according to Lauren, index of regional lymph node involvement, and tumor localization in the upper third of the stomach.…”

Section: Discussionmentioning

confidence: 99%

Predictive Nomogram of the Risk of Peritoneal Relapse Following Radical Gastric Cancer Surgery

Yarema

Оhorchak²,

Hyrya³

et al. 2022

PSSS MS

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Background and objectives. Peritoneal relapse (PR) is the most common pattern of gastric cancer (GC) recurrence after radical treatment. Currently, a variety of adjuvant intraperitoneal chemotherapy methods are being tested for their effi cacy in reducing the level of PR.Methods. The radical treatment results of 226 patients with localized and locally-advanced GC have been analyzed. To select a group of patients with indications for adjuvant intraperitoneal therapy, a study of independent predictive factors and the development of a predictive PR nomogram for gastric cancer was completed.Results. As a result of the analysis of about three dozen potential factors in mono-and multivariate analysis, the impact on PR risk was confi rmed by 4 independent predictive factors, namely: serosal invasion and its size (HR 9.36, p <0.001), morphological type according to Lauren (HR 5.3, p <0.001), index of regional lymph node involvement (HR 2.23, p = 0.015) and localization of the tumor in the stomach (HR 3.98, p <0,001). Conclusions.A predictive PR risk nomogram of gastric cancer after radical surgical treatment has been developed based on the identifi ed independent factors, and it is of great clinical importance as a tool for segregating patients who require adjuvant intraperitoneal chemotherapy.

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Section: Discussionmentioning

confidence: 99%

Predictive Nomogram of the Risk of Peritoneal Relapse Following Radical Gastric Cancer Surgery

Yarema

Оhorchak²,

Hyrya³

et al. 2022

PSSS MS

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“…Besides having different microscopic appearances, the two subgroups have also distinct clinicopathological and molecular features. Several studies demonstrated that intestinal GC tends to metastasize to the liver, while diffuse GC is frequently associated with PD [244][245][246][247]. However, the molecular mechanisms underlying the correlation between diffuse type and carcinomatosis are still obscure.…”

Section: Diffuse Gcmentioning

confidence: 99%

Molecular Determinants of Peritoneal Dissemination in Gastric Adenocarcinoma

Mari

Angerilli

Munari

et al. 2022

Dig Dis

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Peritoneal dissemination represents a poor prognostic indicator in gastric cancer. Despite a comprehensive molecular characterization of this disease, no peritoneal dissemination-specific signature has been identified, limiting the tailoring of the surgical and oncological treatments. In this review, we outline the available literature focusing on the role of the different molecular pathways involved in the acquisition of peritoneal metastatic dissemination. According to our results, several molecular determinants are associated with peritoneal carcinomatosis and are involved in several cellular and molecular carcinogenetic processes. However, a comprehensive understanding of the complex molecular landscape of gastric carcinosis is still lacking. More efforts should be made towards the integration of molecular and histologic data to perform a risk prediction assessment of peritoneal dissemination based on molecular profiling and histological evaluation.

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“…A nomogram is a model that predicts the probability of a patient’s clinical events based on multivariate regression analysis, which can quickly and intuitively predict the prognosis of patients, and is widely used in tumor-related research ( 14 ). A key advantage of nomograms is their ability to estimate personalized risk based on patient and disease characteristics ( 15 ).…”

Section: Introductionmentioning

confidence: 99%

Development and validation of a Surveillance, Epidemiology, and End Results (SEER)-based prognostic nomogram for predicting survival in gastric cancer with multi-organ metastases

Wang¹,

Liu²,

Wang³

et al. 2022

Transl Cancer Res TCR

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Background Nomogram can be used to accurately predict the prognosis of patients and guide treatment according to the individual situation of patients. This study is to investigate the independent prognostic factors for multi-organ metastases in gastric cancer (GC) patients, and construct and validate prognostic nomograms for overall survival (OS) and cancer-specific survival (CSS). Methods The clinical data of GC patients with multi-organ metastases from 2010 to 2018 were extracted from the Surveillance, Epidemiology, and End Results (SEER) database. The independent prognostic factors affecting the OS and CSS of the patients were screened using univariate and multivariate Cox’s proportional hazards model and the Fine-Gray competing risk model. Corresponding nomogram models were constructed to predict the OS and CSS of the patients. The reliability and accuracy of the prediction model were evaluated by consistency index (C-index), area under receiver operating characteristic (ROC) curve (AUC) and calibration curve. Results A total of 1,386 patients were included and randomly divided into a training group (972 cases) and a validation group (414 cases) in a 7:3 ratio. Cox proportional hazards analysis showed that age [P<0.001, hazard ratio (HR) =1.29 (1.11–1.49)], race (P=0.018, HR =0.79 (0.65–0.96)], metastases [P=0.036, HR =1.96 (1.05–3.67)], tumor size [P=0.045, HR =1.35 (1.01–1.82)], degree of differentiation [P=0.002, HR =1.99 (1.30–3.06)] and metastasis surgery (P=0.005, HR =0.52 (0.33–0.82)] were independent prognostic factors for OS in GC patients with multi-organ metastases. The Fine-Gray competing risk analysis showed that age [P=0.006, HR =1.23 (1.06–1.42)], histological type [P=0.037, HR =1.53 (1.03–2.27)], metastases [P=0.009, HR =2.02 (1.19–3.41)], tumor size [P=0.028, HR =1.33 (1.03–1.70)], degree of differentiation [P=0.009, HR =1.65 (1.13–2.40)] and metastasis surgery [P=0.001, HR =0.50 (0.32–0.76)] were independent prognostic factors for CSS in GC patients with multi-organ metastases. The above factors were used to construct nomogram models for predicting OS and CSS. Both C-index and AUC of the training group and the validation group showed that the models had an acceptable predictive performance. The calibration curve showed that the predicted and ideal curves fit well, indicating that the constructed models were well-calibrated. Conclusions Using data from the SEER database, this study established and validated nomogram models for OS and CSS in GC patients with multi-organ metastases, to help clinicians formulate accurate and individualized treatment plans.

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Analysis and external validation of a nomogram to predict peritoneal dissemination in gastric cancer

Cited by 10 publications

References 41 publications

Predictive Nomogram of the Risk of Peritoneal Relapse Following Radical Gastric Cancer Surgery

Predictive Nomogram of the Risk of Peritoneal Relapse Following Radical Gastric Cancer Surgery

Molecular Determinants of Peritoneal Dissemination in Gastric Adenocarcinoma

Development and validation of a Surveillance, Epidemiology, and End Results (SEER)-based prognostic nomogram for predicting survival in gastric cancer with multi-organ metastases

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