Prognostic nomograms for predicting survival and distant metastases in locally advanced rectal cancers

To develop prognostic nomograms for predicting outcomes in patients with locally advanced rectal cancers who do not receive preoperative treatment. A total of 883 patients with stage II-III rectal cancers were retrospectively collected from a single institution. Survival analyses were performed to a...

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Veröffentlicht in:PloS one 2014-08, Vol.9 (8), p.e106344-e106344
Hauptverfasser: Peng, Junjie, Ding, Ying, Tu, Shanshan, Shi, Debing, Sun, Liang, Li, Xinxiang, Wu, Hongbin, Cai, Sanjun
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container_issue 8
container_start_page e106344
container_title PloS one
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creator Peng, Junjie
Ding, Ying
Tu, Shanshan
Shi, Debing
Sun, Liang
Li, Xinxiang
Wu, Hongbin
Cai, Sanjun
description To develop prognostic nomograms for predicting outcomes in patients with locally advanced rectal cancers who do not receive preoperative treatment. A total of 883 patients with stage II-III rectal cancers were retrospectively collected from a single institution. Survival analyses were performed to assess each variable for overall survival (OS), local recurrence (LR) and distant metastases (DM). Cox models were performed to develop a predictive model for each endpoint. The performance of model prediction was validated by cross validation and on an independent group of patients. The 5-year LR, DM and OS rates were 22.3%, 32.7% and 63.8%, respectively. Two prognostic nomograms were successfully developed to predict 5-year OS and DM-free survival rates, with c-index of 0.70 (95% CI = [0.66, 0.73]) and 0.68 (95% CI = [0.64, 0.72]) on the original dataset, and 0.76 (95% CI = [0.67, 0.86]) and 0.73 (95% CI = [0.63, 0.83]) on the validation dataset, respectively. Factors in our models included age, gender, carcinoembryonic antigen value, tumor location, T stage, N stage, metastatic lymph nodes ratio, adjuvant chemotherapy and chemoradiotherapy. Predicted by our nomogram, substantial variability in terms of 5-year OS and DM-free survival was observed within each TNM stage category. The prognostic nomograms integrated demographic and clinicopathological factors to account for tumor and patient heterogeneity, and thereby provided a more individualized outcome prognostication. Our individualized prediction nomograms could help patients with preoperatively under-staged rectal cancer about their postoperative treatment strategies and follow-up protocols.
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A total of 883 patients with stage II-III rectal cancers were retrospectively collected from a single institution. Survival analyses were performed to assess each variable for overall survival (OS), local recurrence (LR) and distant metastases (DM). Cox models were performed to develop a predictive model for each endpoint. The performance of model prediction was validated by cross validation and on an independent group of patients. The 5-year LR, DM and OS rates were 22.3%, 32.7% and 63.8%, respectively. Two prognostic nomograms were successfully developed to predict 5-year OS and DM-free survival rates, with c-index of 0.70 (95% CI = [0.66, 0.73]) and 0.68 (95% CI = [0.64, 0.72]) on the original dataset, and 0.76 (95% CI = [0.67, 0.86]) and 0.73 (95% CI = [0.63, 0.83]) on the validation dataset, respectively. Factors in our models included age, gender, carcinoembryonic antigen value, tumor location, T stage, N stage, metastatic lymph nodes ratio, adjuvant chemotherapy and chemoradiotherapy. Predicted by our nomogram, substantial variability in terms of 5-year OS and DM-free survival was observed within each TNM stage category. The prognostic nomograms integrated demographic and clinicopathological factors to account for tumor and patient heterogeneity, and thereby provided a more individualized outcome prognostication. 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A total of 883 patients with stage II-III rectal cancers were retrospectively collected from a single institution. Survival analyses were performed to assess each variable for overall survival (OS), local recurrence (LR) and distant metastases (DM). Cox models were performed to develop a predictive model for each endpoint. The performance of model prediction was validated by cross validation and on an independent group of patients. The 5-year LR, DM and OS rates were 22.3%, 32.7% and 63.8%, respectively. Two prognostic nomograms were successfully developed to predict 5-year OS and DM-free survival rates, with c-index of 0.70 (95% CI = [0.66, 0.73]) and 0.68 (95% CI = [0.64, 0.72]) on the original dataset, and 0.76 (95% CI = [0.67, 0.86]) and 0.73 (95% CI = [0.63, 0.83]) on the validation dataset, respectively. Factors in our models included age, gender, carcinoembryonic antigen value, tumor location, T stage, N stage, metastatic lymph nodes ratio, adjuvant chemotherapy and chemoradiotherapy. Predicted by our nomogram, substantial variability in terms of 5-year OS and DM-free survival was observed within each TNM stage category. The prognostic nomograms integrated demographic and clinicopathological factors to account for tumor and patient heterogeneity, and thereby provided a more individualized outcome prognostication. Our individualized prediction nomograms could help patients with preoperatively under-staged rectal cancer about their postoperative treatment strategies and follow-up protocols.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>25171093</pmid><doi>10.1371/journal.pone.0106344</doi><oa>free_for_read</oa></addata></record>
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subjects Adjuvant treatment
Adult
Aged
Aged, 80 and over
Cancer
Cancer patients
Cancer therapies
Carcinoembryonic antigen
Chemoradiotherapy
Chemotherapy
Colorectal cancer
Colorectal surgery
Demographics
Female
Health risk assessment
Heterogeneity
Humans
Lymph nodes
Lymphatic system
Male
Mathematical models
Medical prognosis
Medicine and Health Sciences
Metastases
Metastasis
Middle Aged
Neoplasm Metastasis - pathology
Neoplasm Recurrence, Local - mortality
Neoplasm Recurrence, Local - pathology
Nomograms
Oncology
Patient outcomes
Patients
Physical Sciences
Prediction models
Prognosis
Radiation therapy
Rectal Neoplasms - mortality
Rectal Neoplasms - pathology
Rectum
Retrospective Studies
Survival
Survival Analysis
title Prognostic nomograms for predicting survival and distant metastases in locally advanced rectal cancers
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