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Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study

BACKGROUND: The tumor area may be a potential prognostic indicator. The present study aimed to determine and validate the prognostic value of tumor area in curable colon cancer. METHODS: This retrospective study included a training and validation cohorts of patients who underwent radical surgery for...

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Autores principales: Ning, Fei-Long, Gu, Wan-Jie, Dai, Lin-Zheng, Du, Wan-Ying, Zeng, Yong-Ji, Zhang, Jia-Kui, Abe, Masanobu, Liu, Yan-Long, Zhang, Rui, Zhang, Chun-Dong
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lippincott Williams & Wilkins 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651264/
https://www.ncbi.nlm.nih.gov/pubmed/37526113
http://dx.doi.org/10.1097/JS9.0000000000000623
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author Ning, Fei-Long
Gu, Wan-Jie
Dai, Lin-Zheng
Du, Wan-Ying
Zeng, Yong-Ji
Zhang, Jia-Kui
Abe, Masanobu
Liu, Yan-Long
Zhang, Rui
Zhang, Chun-Dong
author_facet Ning, Fei-Long
Gu, Wan-Jie
Dai, Lin-Zheng
Du, Wan-Ying
Zeng, Yong-Ji
Zhang, Jia-Kui
Abe, Masanobu
Liu, Yan-Long
Zhang, Rui
Zhang, Chun-Dong
author_sort Ning, Fei-Long
collection PubMed
description BACKGROUND: The tumor area may be a potential prognostic indicator. The present study aimed to determine and validate the prognostic value of tumor area in curable colon cancer. METHODS: This retrospective study included a training and validation cohorts of patients who underwent radical surgery for colon cancer. Independent prognostic factors for overall survival (OS) and disease-free survival (DFS) were identified using Cox proportional hazards regression models. The prognostic discrimination was evaluated using the integrated area under the receiver operating characteristic curves (iAUCs) for prognostic factors and models. The prognostic discrimination between tumor area and other individual factors was compared, along with the prognostic discrimination between the tumor-node-metastasis (TNM) staging system and other prognostic models. Two-sample Wilcoxon tests were carried out to identify significant differences between the two iAUCs. A two-sided P<0.05 was considered statistically significant. RESULTS: A total of 3051 colon cancer patients were included in the training cohort and 872 patients in the validation cohort. Tumor area, age, differentiation, T stage, and N stage were independent prognostic factors for both OS and DFS in the training cohort. Tumor area had a better OS and DFS prognostic discrimination characteristics than T stage, maximal tumor diameter, differentiation, tumor location, and number of retrieved lymph nodes. The novel prognostic model of T stage + N stage + tumor area (iAUC for OS, 0.714, P<0.001; iAUC for DFS, 0.694, P<0.001) showed a better prognostic discrimination than the TNM staging system (T stage + N stage; iAUC for OS, 0.664; iAUC for DFS, 0.658). Similar results were observed in an independent validation cohort. CONCLUSIONS: Tumor area was identified as an independent prognostic factor for both OS and DFS in curable colon cancer patients, and in cases with an adequate number of retrieved lymph nodes. The novel prognostic model of combining T stage, N stage, and tumor area may be an alternative to the current TNM staging system.
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spelling pubmed-106512642023-11-15 Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study Ning, Fei-Long Gu, Wan-Jie Dai, Lin-Zheng Du, Wan-Ying Zeng, Yong-Ji Zhang, Jia-Kui Abe, Masanobu Liu, Yan-Long Zhang, Rui Zhang, Chun-Dong Int J Surg Original Research BACKGROUND: The tumor area may be a potential prognostic indicator. The present study aimed to determine and validate the prognostic value of tumor area in curable colon cancer. METHODS: This retrospective study included a training and validation cohorts of patients who underwent radical surgery for colon cancer. Independent prognostic factors for overall survival (OS) and disease-free survival (DFS) were identified using Cox proportional hazards regression models. The prognostic discrimination was evaluated using the integrated area under the receiver operating characteristic curves (iAUCs) for prognostic factors and models. The prognostic discrimination between tumor area and other individual factors was compared, along with the prognostic discrimination between the tumor-node-metastasis (TNM) staging system and other prognostic models. Two-sample Wilcoxon tests were carried out to identify significant differences between the two iAUCs. A two-sided P<0.05 was considered statistically significant. RESULTS: A total of 3051 colon cancer patients were included in the training cohort and 872 patients in the validation cohort. Tumor area, age, differentiation, T stage, and N stage were independent prognostic factors for both OS and DFS in the training cohort. Tumor area had a better OS and DFS prognostic discrimination characteristics than T stage, maximal tumor diameter, differentiation, tumor location, and number of retrieved lymph nodes. The novel prognostic model of T stage + N stage + tumor area (iAUC for OS, 0.714, P<0.001; iAUC for DFS, 0.694, P<0.001) showed a better prognostic discrimination than the TNM staging system (T stage + N stage; iAUC for OS, 0.664; iAUC for DFS, 0.658). Similar results were observed in an independent validation cohort. CONCLUSIONS: Tumor area was identified as an independent prognostic factor for both OS and DFS in curable colon cancer patients, and in cases with an adequate number of retrieved lymph nodes. The novel prognostic model of combining T stage, N stage, and tumor area may be an alternative to the current TNM staging system. Lippincott Williams & Wilkins 2023-07-31 /pmc/articles/PMC10651264/ /pubmed/37526113 http://dx.doi.org/10.1097/JS9.0000000000000623 Text en Copyright © 2023 The Author(s). Published by Wolters Kluwer Health, Inc. https://creativecommons.org/licenses/by-nc/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution-Non Commercial License 4.0 (https://creativecommons.org/licenses/by-nc/4.0/) (CCBY-NC), where it is permissible to download, share, remix, transform, and buildup the work provided it is properly cited. The work cannot be used commercially without permission from the journal. http://creativecommons.org/licenses/by-nc/4.0/ (https://creativecommons.org/licenses/by-nc/4.0/)
spellingShingle Original Research
Ning, Fei-Long
Gu, Wan-Jie
Dai, Lin-Zheng
Du, Wan-Ying
Zeng, Yong-Ji
Zhang, Jia-Kui
Abe, Masanobu
Liu, Yan-Long
Zhang, Rui
Zhang, Chun-Dong
Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study
title Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study
title_full Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study
title_fullStr Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study
title_full_unstemmed Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study
title_short Identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study
title_sort identification and initial validation of maximal tumor area as a novel prognostic factor for overall and disease-free survival in patients with resectable colon cancer: a retrospective study
topic Original Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10651264/
https://www.ncbi.nlm.nih.gov/pubmed/37526113
http://dx.doi.org/10.1097/JS9.0000000000000623
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