Risk and prediction of multiple primary malignancies after early gastric cancer
- PMID: 37560468
- PMCID: PMC10409482
- DOI: 10.3389/fonc.2023.1205358
Risk and prediction of multiple primary malignancies after early gastric cancer
Erratum in
-
Corrigendum: Risk and prediction of multiple primary malignancies after early gastric cancer.Front Oncol. 2023 Nov 28;13:1298412. doi: 10.3389/fonc.2023.1298412. eCollection 2023. Front Oncol. 2023. PMID: 38094605 Free PMC article.
Abstract
Background: Patients with early gastric cancer have increased risk of developing multiple primary malignancies (MPM) due to improved survival rates. The purpose of this study was to evaluate the clinicopathological features of MPM and to generate a useful tool for predicting the development of MPM after early gastric cancer.
Methods: We selected 1025 early gastric cancer patients with complete medical records for a retrospective analysis. The Cox proportional risk regression model was used to analyze the independent risk factors for the development of MPM in early gastric cancer. RStudio software was used to compare the OS of early gastric cancer patients with and without MPM, and a nomogram was established to predict the probability of MPM 1-, 2-, 3-year after early gastric cancer. The predictive effectiveness of the nomogram was evaluated by the C-index and calibration curve. Decision curve analysis (DCA) measured the applicability of the nomogram to clinical practice.
Results: Of the 1025 patients with early gastric cancer, 66 patients (6.4%) had 69 primary cancers other than early gastric cancer. They had a median follow-up of 41 months, and their cumulative incidence of MPM was 4.9%, 5.4% and 5.9% after 1-, 2-, and 3- year, respectively. Oesophageal cancer was the most frequently detected MPM, followed by lung and colorectal cancers. Male (p=0.038), age ≥65 years (p=0.003), smoking history (p=0.036), and lymph node metastasis (p=0.013) were independent risk factors for MPM in patients with early gastric cancer. Patients with early gastric cancer with MPM had a worse OS prognosis than patients with early gastric cancer without MPM (p<0.001). The internally validated nomogram predicted the probability of developing MPM after early gastric cancer (C index= 0.697). The calibration chart showed that the predicted probability of MPM in early gastric cancer was similar to the observed result, and the DCA showed strong clinical practicability.
Conclusion: After the diagnosis and treatment of early gastric cancer, we should be alert to the possibility of MPM and perform regular and careful monitoring.
Keywords: early gastric cancer; multiple primary malignancies; nomogram; predictive factor; predictive tool.
Copyright © 2023 Chen, Shi, Ge, Jia and Jiang.
Conflict of interest statement
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Figures




Similar articles
-
A nomogram model based on the number of examined lymph nodes-related signature to predict prognosis and guide clinical therapy in gastric cancer.Front Immunol. 2022 Nov 2;13:947802. doi: 10.3389/fimmu.2022.947802. eCollection 2022. Front Immunol. 2022. PMID: 36405735 Free PMC article.
-
[A nomogram for predicting lymph node metastasis in early gastric cancer].Zhonghua Wei Chang Wai Ke Za Zhi. 2022 Jan 25;25(1):40-47. doi: 10.3760/cma.j.cn441530-20210208-00059. Zhonghua Wei Chang Wai Ke Za Zhi. 2022. PMID: 35067033 Chinese.
-
Family history of malignant tumor is a predictor of gastric cancer prognosis: Incorporation into a nomogram.Medicine (Baltimore). 2022 Sep 2;101(35):e30141. doi: 10.1097/MD.0000000000030141. Medicine (Baltimore). 2022. PMID: 36107576 Free PMC article.
-
[Establishment and validation of a predictive nomogram model for advanced gastric cancer with perineural invasion].Zhonghua Wei Chang Wai Ke Za Zhi. 2020 Nov 25;23(11):1059-1066. doi: 10.3760/cma.j.cn.441530-20200103-00004. Zhonghua Wei Chang Wai Ke Za Zhi. 2020. PMID: 33212554 Chinese.
-
[Development and validation of prognostic nomogram for malignant pleural mesothelioma].Zhonghua Zhong Liu Za Zhi. 2023 May 23;45(5):415-423. doi: 10.3760/cma.j.cn12152-20211124-00871. Zhonghua Zhong Liu Za Zhi. 2023. PMID: 37188627 Chinese.
References
LinkOut - more resources
Full Text Sources