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Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort
BACKGROUND: Since novel strategies for prevention and treatment of metachronous peritoneal metastases (mPM) are under study, it appears crucial to identify their risk factors. Our aim is to establish the incidence of mPM after surgery for colon cancer (CC) and to build a statistical model to predict...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer International Publishing
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550705/ https://www.ncbi.nlm.nih.gov/pubmed/35789302 http://dx.doi.org/10.1245/s10434-022-12097-9 |
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author | Pedrazzani, Corrado Turri, Giulia Marrelli, Daniele Kim, Hye Jin Park, Eun Jung Spolverato, Gaya Foppa, Caterina Spinelli, Antonino Pucciarelli, Salvatore Baik, Seung Hyuk Choi, Gyu Seog |
author_facet | Pedrazzani, Corrado Turri, Giulia Marrelli, Daniele Kim, Hye Jin Park, Eun Jung Spolverato, Gaya Foppa, Caterina Spinelli, Antonino Pucciarelli, Salvatore Baik, Seung Hyuk Choi, Gyu Seog |
author_sort | Pedrazzani, Corrado |
collection | PubMed |
description | BACKGROUND: Since novel strategies for prevention and treatment of metachronous peritoneal metastases (mPM) are under study, it appears crucial to identify their risk factors. Our aim is to establish the incidence of mPM after surgery for colon cancer (CC) and to build a statistical model to predict the risk of recurrence. PATIENTS AND METHODS: Retrospective analysis of consecutive pT3–4 CC operated at five referral centers (2014–2018). Patients who developed mPM were compared with patients who were PM-free at follow-up. A scoring system was built on the basis of a logistic regression model. RESULTS: Of the 1423 included patients, 74 (5.2%) developed mPM. Patients in the PM group presented higher preoperative carcinoembryonic antigen (CEA) [median (IQR): 4.5 (2.5–13.0) vs. 2.7 (1.5–5.9), P = 0.001] and CA 19-9 [median (IQR): 17.7 (12.0–37.0) vs. 10.8 (5.0–21.0), P = 0.001], advanced disease (pT4a 42.6% vs. 13.5%; pT4b 16.2% vs. 3.2%; P < 0.001), and negative pathological characteristics. Multivariate logistic regression identified CA 19-9, pT stage, pN stage, extent of lymphadenectomy, and lymphovascular invasion as significant predictors, and individual risk scores were calculated for each patient. The risk of recurrence increased remarkably with score values, and the model demonstrated a high negative predictive value (98.8%) and accuracy (83.9%) for scores below five. CONCLUSIONS: Besides confirming incidence and risk factors for mPM, our study developed a useful clinical tool for prediction of mPM risk. After external validation, this scoring system may guide personalized decision-making for patients with locally advanced CC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-022-12097-9. |
format | Online Article Text |
id | pubmed-9550705 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer International Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-95507052022-10-12 Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort Pedrazzani, Corrado Turri, Giulia Marrelli, Daniele Kim, Hye Jin Park, Eun Jung Spolverato, Gaya Foppa, Caterina Spinelli, Antonino Pucciarelli, Salvatore Baik, Seung Hyuk Choi, Gyu Seog Ann Surg Oncol Colorectal Cancer BACKGROUND: Since novel strategies for prevention and treatment of metachronous peritoneal metastases (mPM) are under study, it appears crucial to identify their risk factors. Our aim is to establish the incidence of mPM after surgery for colon cancer (CC) and to build a statistical model to predict the risk of recurrence. PATIENTS AND METHODS: Retrospective analysis of consecutive pT3–4 CC operated at five referral centers (2014–2018). Patients who developed mPM were compared with patients who were PM-free at follow-up. A scoring system was built on the basis of a logistic regression model. RESULTS: Of the 1423 included patients, 74 (5.2%) developed mPM. Patients in the PM group presented higher preoperative carcinoembryonic antigen (CEA) [median (IQR): 4.5 (2.5–13.0) vs. 2.7 (1.5–5.9), P = 0.001] and CA 19-9 [median (IQR): 17.7 (12.0–37.0) vs. 10.8 (5.0–21.0), P = 0.001], advanced disease (pT4a 42.6% vs. 13.5%; pT4b 16.2% vs. 3.2%; P < 0.001), and negative pathological characteristics. Multivariate logistic regression identified CA 19-9, pT stage, pN stage, extent of lymphadenectomy, and lymphovascular invasion as significant predictors, and individual risk scores were calculated for each patient. The risk of recurrence increased remarkably with score values, and the model demonstrated a high negative predictive value (98.8%) and accuracy (83.9%) for scores below five. CONCLUSIONS: Besides confirming incidence and risk factors for mPM, our study developed a useful clinical tool for prediction of mPM risk. After external validation, this scoring system may guide personalized decision-making for patients with locally advanced CC. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1245/s10434-022-12097-9. Springer International Publishing 2022-07-05 2022 /pmc/articles/PMC9550705/ /pubmed/35789302 http://dx.doi.org/10.1245/s10434-022-12097-9 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis 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/) . |
spellingShingle | Colorectal Cancer Pedrazzani, Corrado Turri, Giulia Marrelli, Daniele Kim, Hye Jin Park, Eun Jung Spolverato, Gaya Foppa, Caterina Spinelli, Antonino Pucciarelli, Salvatore Baik, Seung Hyuk Choi, Gyu Seog Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort |
title | Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort |
title_full | Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort |
title_fullStr | Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort |
title_full_unstemmed | Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort |
title_short | Prediction of Metachronous Peritoneal Metastases After Radical Surgery for Colon Cancer: A Scoring System Obtained from an International Multicenter Cohort |
title_sort | prediction of metachronous peritoneal metastases after radical surgery for colon cancer: a scoring system obtained from an international multicenter cohort |
topic | Colorectal Cancer |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9550705/ https://www.ncbi.nlm.nih.gov/pubmed/35789302 http://dx.doi.org/10.1245/s10434-022-12097-9 |
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