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Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer

BACKGROUND: To investigate the risk factors associated with the development of occult peritoneal metastasis in advanced gastric cancer, and establish and externally validate a nomogram for predicting the occurrence of occult peritoneal metastasis in patients with advanced gastric cancer. METHODS: A...

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Autores principales: Gao, Hengfei, Ji, Kangkang, Bao, Linsen, Chen, Hao, Lin, Chen, Feng, Min, Tao, Liang, Wang, Meng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571475/
https://www.ncbi.nlm.nih.gov/pubmed/37833730
http://dx.doi.org/10.1186/s12957-023-03188-2
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author Gao, Hengfei
Ji, Kangkang
Bao, Linsen
Chen, Hao
Lin, Chen
Feng, Min
Tao, Liang
Wang, Meng
author_facet Gao, Hengfei
Ji, Kangkang
Bao, Linsen
Chen, Hao
Lin, Chen
Feng, Min
Tao, Liang
Wang, Meng
author_sort Gao, Hengfei
collection PubMed
description BACKGROUND: To investigate the risk factors associated with the development of occult peritoneal metastasis in advanced gastric cancer, and establish and externally validate a nomogram for predicting the occurrence of occult peritoneal metastasis in patients with advanced gastric cancer. METHODS: A total of 111 patients with advanced gastric cancer who underwent laparoscopic exploration or peritoneal lavage cytology examination at the Affiliated Drum Tower Hospital of Nanjing University Medical School from August 2014 to December 2021 were retrospectively analyzed. The patients diagnosed between 2019 and 2021 were assigned to the training set (n = 64), while those diagnosed between 2014 and 2016 constituted the external validation set (n = 47). In the training set, patients were classified into two groups based on preoperative imaging and postoperative pathological data: the occult peritoneal metastasis group (OPMG) and the peritoneal metastasis negative group (PMNG). In the validation set, patients were classified into the occult peritoneal metastasis group (CY1P0, OPMG) and the peritoneal metastasis negative group (CY0P0, PMNG) based on peritoneal lavage cytology results. A nomogram was constructed using univariate and multivariate analyses. The performance of the nomogram was evaluated using Harrell’s C-index, the area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA), and calibration plots. RESULTS: This study analyzed 22 potential variables of OPM in 111 gastric cancer patients who underwent laparoscopic exploration or peritoneal lavage cytology examination. Logistic regression analysis results showed that Lauren classification, CLDN18.2 score and CA125 were independent risk factors for OPM in patients with gastric cancer. We developed a simple and easy-to-use prediction nomogram of occult peritoneal metastasis in advanced gastric cancer. This nomogram had an excellent diagnostic performance. The AUC of the bootstrap model in the training set was 0.771 and in the validation set was 0.711. This model showed a good fitting and calibration and positive net benefits in decision curve analysis. CONCLUSION: We have developed a prediction nomogram of OPM for gastric cancer. This novel nomogram has the potential to enhance diagnostic accuracy for occult peritoneal metastasis in gastric cancer patients.
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spelling pubmed-105714752023-10-14 Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer Gao, Hengfei Ji, Kangkang Bao, Linsen Chen, Hao Lin, Chen Feng, Min Tao, Liang Wang, Meng World J Surg Oncol Research BACKGROUND: To investigate the risk factors associated with the development of occult peritoneal metastasis in advanced gastric cancer, and establish and externally validate a nomogram for predicting the occurrence of occult peritoneal metastasis in patients with advanced gastric cancer. METHODS: A total of 111 patients with advanced gastric cancer who underwent laparoscopic exploration or peritoneal lavage cytology examination at the Affiliated Drum Tower Hospital of Nanjing University Medical School from August 2014 to December 2021 were retrospectively analyzed. The patients diagnosed between 2019 and 2021 were assigned to the training set (n = 64), while those diagnosed between 2014 and 2016 constituted the external validation set (n = 47). In the training set, patients were classified into two groups based on preoperative imaging and postoperative pathological data: the occult peritoneal metastasis group (OPMG) and the peritoneal metastasis negative group (PMNG). In the validation set, patients were classified into the occult peritoneal metastasis group (CY1P0, OPMG) and the peritoneal metastasis negative group (CY0P0, PMNG) based on peritoneal lavage cytology results. A nomogram was constructed using univariate and multivariate analyses. The performance of the nomogram was evaluated using Harrell’s C-index, the area under the receiver operating characteristic curve (AUC), decision curve analysis (DCA), and calibration plots. RESULTS: This study analyzed 22 potential variables of OPM in 111 gastric cancer patients who underwent laparoscopic exploration or peritoneal lavage cytology examination. Logistic regression analysis results showed that Lauren classification, CLDN18.2 score and CA125 were independent risk factors for OPM in patients with gastric cancer. We developed a simple and easy-to-use prediction nomogram of occult peritoneal metastasis in advanced gastric cancer. This nomogram had an excellent diagnostic performance. The AUC of the bootstrap model in the training set was 0.771 and in the validation set was 0.711. This model showed a good fitting and calibration and positive net benefits in decision curve analysis. CONCLUSION: We have developed a prediction nomogram of OPM for gastric cancer. This novel nomogram has the potential to enhance diagnostic accuracy for occult peritoneal metastasis in gastric cancer patients. BioMed Central 2023-10-13 /pmc/articles/PMC10571475/ /pubmed/37833730 http://dx.doi.org/10.1186/s12957-023-03188-2 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research
Gao, Hengfei
Ji, Kangkang
Bao, Linsen
Chen, Hao
Lin, Chen
Feng, Min
Tao, Liang
Wang, Meng
Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer
title Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer
title_full Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer
title_fullStr Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer
title_full_unstemmed Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer
title_short Establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer
title_sort establishment and verification of prediction model of occult peritoneal metastasis in advanced gastric cancer
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10571475/
https://www.ncbi.nlm.nih.gov/pubmed/37833730
http://dx.doi.org/10.1186/s12957-023-03188-2
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