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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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. |
doi_str_mv | 10.1371/journal.pone.0106344 |
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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.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0106344</identifier><identifier>PMID: 25171093</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>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</subject><ispartof>PloS one, 2014-08, Vol.9 (8), p.e106344-e106344</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Peng et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License: http://creativecommons.org/licenses/by/4.0/ (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>2014 Peng et al 2014 Peng et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c758t-a400a54a9fd0b075dfa66b6038845b4080480ffdc1a32967ff4fbe615864c3db3</citedby><cites>FETCH-LOGICAL-c758t-a400a54a9fd0b075dfa66b6038845b4080480ffdc1a32967ff4fbe615864c3db3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149564/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4149564/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79569,79570</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25171093$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Peng, Junjie</creatorcontrib><creatorcontrib>Ding, Ying</creatorcontrib><creatorcontrib>Tu, Shanshan</creatorcontrib><creatorcontrib>Shi, Debing</creatorcontrib><creatorcontrib>Sun, Liang</creatorcontrib><creatorcontrib>Li, Xinxiang</creatorcontrib><creatorcontrib>Wu, Hongbin</creatorcontrib><creatorcontrib>Cai, Sanjun</creatorcontrib><title>Prognostic nomograms for predicting survival and distant metastases in locally advanced rectal cancers</title><title>PloS one</title><addtitle>PLoS One</addtitle><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.</description><subject>Adjuvant treatment</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Cancer therapies</subject><subject>Carcinoembryonic antigen</subject><subject>Chemoradiotherapy</subject><subject>Chemotherapy</subject><subject>Colorectal cancer</subject><subject>Colorectal surgery</subject><subject>Demographics</subject><subject>Female</subject><subject>Health risk assessment</subject><subject>Heterogeneity</subject><subject>Humans</subject><subject>Lymph nodes</subject><subject>Lymphatic system</subject><subject>Male</subject><subject>Mathematical models</subject><subject>Medical prognosis</subject><subject>Medicine and Health Sciences</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Neoplasm Metastasis - pathology</subject><subject>Neoplasm Recurrence, Local - mortality</subject><subject>Neoplasm Recurrence, Local - pathology</subject><subject>Nomograms</subject><subject>Oncology</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Physical Sciences</subject><subject>Prediction models</subject><subject>Prognosis</subject><subject>Radiation therapy</subject><subject>Rectal Neoplasms - mortality</subject><subject>Rectal Neoplasms - pathology</subject><subject>Rectum</subject><subject>Retrospective Studies</subject><subject>Survival</subject><subject>Survival Analysis</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk12L1DAUhoso7rr6D0QLgujFjEmTpu2NsCx-DCys-HUbTtOkkyVNxiQd3H9v6nSXqeyF5KJp8rzvIW9ysuw5RmtMKvzu2o3eglnvnJVrhBEjlD7ITnFDihUrEHl4ND_JnoRwjVBJasYeZydFiSuMGnKaqS_e9daFqEVu3eB6D0PIlfP5zstOi6htn4fR7_UeTA62yzsdItiYDzJCmgUZcm1z4wQYc5NDtwcrZJd7KWJSiOnPh6fZIwUmyGfz9yz78fHD94vPq8urT5uL88uVqMo6roAiBCWFRnWoRVXZKWCsZYjUNS1bimpEa6RUJzCQomGVUlS1kuGyZlSQriVn2cuD7864wOeIAi8QpsmDsSIRmwPRObjmO68H8DfcgeZ_F5zvOfiUhpE8BdS2IHBVNxUlikGBlJQUmEJMYTZVez9XG9tBdkLa6MEsTJc7Vm957_acYtqUjCaDN7OBd79GGSIfdBDSGLDSjYHjsmwYrinDCX31D3r_6Waqh3QAbZVLdcVkys8prkiRxuS1vodKo5ODFuk9KZ3WF4K3C0FiovwdexhD4JtvX_-fvfq5ZF8fsVsJJm6DM2PUzoYlSA-g8C4EL9VdyBjxqR1u0-BTO_C5HZLsxfEF3Ylu3z_5A-rwBgg</recordid><startdate>20140829</startdate><enddate>20140829</enddate><creator>Peng, Junjie</creator><creator>Ding, Ying</creator><creator>Tu, Shanshan</creator><creator>Shi, Debing</creator><creator>Sun, Liang</creator><creator>Li, Xinxiang</creator><creator>Wu, Hongbin</creator><creator>Cai, Sanjun</creator><general>Public Library of Science</general><general>Public Library of Science (PLoS)</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>IOV</scope><scope>ISR</scope><scope>3V.</scope><scope>7QG</scope><scope>7QL</scope><scope>7QO</scope><scope>7RV</scope><scope>7SN</scope><scope>7SS</scope><scope>7T5</scope><scope>7TG</scope><scope>7TM</scope><scope>7U9</scope><scope>7X2</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8C1</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABJCF</scope><scope>ABUWG</scope><scope>AEUYN</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>ATCPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>C1K</scope><scope>CCPQU</scope><scope>D1I</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>H94</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB.</scope><scope>KB0</scope><scope>KL.</scope><scope>L6V</scope><scope>LK8</scope><scope>M0K</scope><scope>M0S</scope><scope>M1P</scope><scope>M7N</scope><scope>M7P</scope><scope>M7S</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PATMY</scope><scope>PDBOC</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20140829</creationdate><title>Prognostic nomograms for predicting survival and distant metastases in locally advanced rectal cancers</title><author>Peng, Junjie ; Ding, Ying ; Tu, Shanshan ; Shi, Debing ; Sun, Liang ; Li, Xinxiang ; Wu, Hongbin ; Cai, Sanjun</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c758t-a400a54a9fd0b075dfa66b6038845b4080480ffdc1a32967ff4fbe615864c3db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adjuvant treatment</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Cancer</topic><topic>Cancer patients</topic><topic>Cancer therapies</topic><topic>Carcinoembryonic antigen</topic><topic>Chemoradiotherapy</topic><topic>Chemotherapy</topic><topic>Colorectal cancer</topic><topic>Colorectal surgery</topic><topic>Demographics</topic><topic>Female</topic><topic>Health risk assessment</topic><topic>Heterogeneity</topic><topic>Humans</topic><topic>Lymph nodes</topic><topic>Lymphatic system</topic><topic>Male</topic><topic>Mathematical models</topic><topic>Medical prognosis</topic><topic>Medicine and Health Sciences</topic><topic>Metastases</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Neoplasm Metastasis - pathology</topic><topic>Neoplasm Recurrence, Local - mortality</topic><topic>Neoplasm Recurrence, Local - pathology</topic><topic>Nomograms</topic><topic>Oncology</topic><topic>Patient outcomes</topic><topic>Patients</topic><topic>Physical Sciences</topic><topic>Prediction models</topic><topic>Prognosis</topic><topic>Radiation therapy</topic><topic>Rectal Neoplasms - mortality</topic><topic>Rectal Neoplasms - pathology</topic><topic>Rectum</topic><topic>Retrospective Studies</topic><topic>Survival</topic><topic>Survival Analysis</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Peng, Junjie</creatorcontrib><creatorcontrib>Ding, Ying</creatorcontrib><creatorcontrib>Tu, Shanshan</creatorcontrib><creatorcontrib>Shi, Debing</creatorcontrib><creatorcontrib>Sun, Liang</creatorcontrib><creatorcontrib>Li, Xinxiang</creatorcontrib><creatorcontrib>Wu, Hongbin</creatorcontrib><creatorcontrib>Cai, Sanjun</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Gale In Context: Opposing Viewpoints</collection><collection>Gale In Context: Science</collection><collection>ProQuest Central (Corporate)</collection><collection>Animal Behavior Abstracts</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing & Allied Health Database</collection><collection>Ecology Abstracts</collection><collection>Entomology Abstracts (Full archive)</collection><collection>Immunology Abstracts</collection><collection>Meteorological & Geoastrophysical Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Agricultural Science Collection</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>Materials Science & Engineering Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest One Sustainability</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>Agricultural & Environmental Science Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>Environmental Sciences and Pollution Management</collection><collection>ProQuest One Community College</collection><collection>ProQuest Materials Science Collection</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Materials Science Database</collection><collection>Nursing & Allied Health Database (Alumni Edition)</collection><collection>Meteorological & Geoastrophysical Abstracts - 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Academic</collection><collection>PubMed Central (Full Participant titles)</collection><collection>DOAJ Directory of Open Access Journals</collection><jtitle>PloS one</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Peng, Junjie</au><au>Ding, Ying</au><au>Tu, Shanshan</au><au>Shi, Debing</au><au>Sun, Liang</au><au>Li, Xinxiang</au><au>Wu, Hongbin</au><au>Cai, Sanjun</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Prognostic nomograms for predicting survival and distant metastases in locally advanced rectal cancers</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-08-29</date><risdate>2014</risdate><volume>9</volume><issue>8</issue><spage>e106344</spage><epage>e106344</epage><pages>e106344-e106344</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>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.</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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