A novel grade-lymph node ratio model predicts the prognosis of the advanced gastric cancer patients after neoadjuvant radiotherapy

Although local advanced gastric cancer (AGC) could benefit from neoadjuvant radiotherapy (NRT), there are few studies evaluating patients' survival after NRT. In current study, we aimed to investigate the value of prognostic factors in AGC patients after NRT and to evaluate whether post-therapy...

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Veröffentlicht in:Oncotarget 2017-02, Vol.8 (8), p.14058-14067
Hauptverfasser: Liu, Jianjun, Su, Mingxue, Wang, Jing, Zhang, Gan, Zhou, Jing, Zhang, Anqing, Ren, Zixue, Zheng, Xucai, Hong, Shikai, Wang, Shengying, Zhang, Rongxin
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container_end_page 14067
container_issue 8
container_start_page 14058
container_title Oncotarget
container_volume 8
creator Liu, Jianjun
Su, Mingxue
Wang, Jing
Zhang, Gan
Zhou, Jing
Zhang, Anqing
Ren, Zixue
Zheng, Xucai
Hong, Shikai
Wang, Shengying
Zhang, Rongxin
description Although local advanced gastric cancer (AGC) could benefit from neoadjuvant radiotherapy (NRT), there are few studies evaluating patients' survival after NRT. In current study, we aimed to investigate the value of prognostic factors in AGC patients after NRT and to evaluate whether post-therapy pathological characteristics were predictive factors in these patients. We retrospectively analyzed AGC patients who underwent NRT from Surveillance, Epidemiology, and End Results (SEER) Database. The patients' clinical and post-therapy pathological characteristics were analyzed. The best cutoff points for continuous variables were identified by X-tile. The discrimination of risk factors were compared by receiver operating characteristic (ROC) curve. As a result, 1,429 AGC patients were included into this study. In the multivariate analysis, the lymph nodes status and histology grade were significant risk factors for DSS (disease special survival). Then, we propose a novel Grade-lymph node Ratio (G-R) staging system for the AGC patients' survival prognosis. Clearly, the new G-R staging system has a more-accurate 3-year and 5-year DSS prediction than the AJCC staging system (p = 0.001, 0.007, respectively). In conclusions, the current large, general population-based study demonstrated that the G-R staging system resulting in more-accurate DSS prediction. It could be regarded as a reliable classification for AGC patients after NRT in future.
doi_str_mv 10.18632/oncotarget.12573
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In current study, we aimed to investigate the value of prognostic factors in AGC patients after NRT and to evaluate whether post-therapy pathological characteristics were predictive factors in these patients. We retrospectively analyzed AGC patients who underwent NRT from Surveillance, Epidemiology, and End Results (SEER) Database. The patients' clinical and post-therapy pathological characteristics were analyzed. The best cutoff points for continuous variables were identified by X-tile. The discrimination of risk factors were compared by receiver operating characteristic (ROC) curve. As a result, 1,429 AGC patients were included into this study. In the multivariate analysis, the lymph nodes status and histology grade were significant risk factors for DSS (disease special survival). Then, we propose a novel Grade-lymph node Ratio (G-R) staging system for the AGC patients' survival prognosis. Clearly, the new G-R staging system has a more-accurate 3-year and 5-year DSS prediction than the AJCC staging system (p = 0.001, 0.007, respectively). In conclusions, the current large, general population-based study demonstrated that the G-R staging system resulting in more-accurate DSS prediction. 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Clearly, the new G-R staging system has a more-accurate 3-year and 5-year DSS prediction than the AJCC staging system (p = 0.001, 0.007, respectively). In conclusions, the current large, general population-based study demonstrated that the G-R staging system resulting in more-accurate DSS prediction. 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Su, Mingxue ; Wang, Jing ; Zhang, Gan ; Zhou, Jing ; Zhang, Anqing ; Ren, Zixue ; Zheng, Xucai ; Hong, Shikai ; Wang, Shengying ; Zhang, Rongxin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c356t-241abd164125b849e0948efe9b87ecd5ecfc87c06200a35e304e0696d1bf28e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Area Under Curve</topic><topic>Clinical Research Paper</topic><topic>Disease-Free Survival</topic><topic>Female</topic><topic>Humans</topic><topic>Kaplan-Meier Estimate</topic><topic>Lymph Nodes - pathology</topic><topic>Lymphatic Metastasis - pathology</topic><topic>Male</topic><topic>Middle Aged</topic><topic>Neoadjuvant Therapy</topic><topic>Neoplasm Staging - methods</topic><topic>Prognosis</topic><topic>Proportional Hazards Models</topic><topic>Radiotherapy, Adjuvant</topic><topic>ROC Curve</topic><topic>SEER Program</topic><topic>Stomach Neoplasms - mortality</topic><topic>Stomach Neoplasms - pathology</topic><topic>Stomach Neoplasms - radiotherapy</topic><topic>Young Adult</topic><toplevel>online_resources</toplevel><creatorcontrib>Liu, Jianjun</creatorcontrib><creatorcontrib>Su, Mingxue</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Zhang, Gan</creatorcontrib><creatorcontrib>Zhou, Jing</creatorcontrib><creatorcontrib>Zhang, Anqing</creatorcontrib><creatorcontrib>Ren, Zixue</creatorcontrib><creatorcontrib>Zheng, Xucai</creatorcontrib><creatorcontrib>Hong, Shikai</creatorcontrib><creatorcontrib>Wang, Shengying</creatorcontrib><creatorcontrib>Zhang, Rongxin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Oncotarget</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Jianjun</au><au>Su, Mingxue</au><au>Wang, Jing</au><au>Zhang, Gan</au><au>Zhou, Jing</au><au>Zhang, Anqing</au><au>Ren, Zixue</au><au>Zheng, Xucai</au><au>Hong, Shikai</au><au>Wang, Shengying</au><au>Zhang, Rongxin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A novel grade-lymph node ratio model predicts the prognosis of the advanced gastric cancer patients after neoadjuvant radiotherapy</atitle><jtitle>Oncotarget</jtitle><addtitle>Oncotarget</addtitle><date>2017-02-21</date><risdate>2017</risdate><volume>8</volume><issue>8</issue><spage>14058</spage><epage>14067</epage><pages>14058-14067</pages><issn>1949-2553</issn><eissn>1949-2553</eissn><abstract>Although local advanced gastric cancer (AGC) could benefit from neoadjuvant radiotherapy (NRT), there are few studies evaluating patients' survival after NRT. In current study, we aimed to investigate the value of prognostic factors in AGC patients after NRT and to evaluate whether post-therapy pathological characteristics were predictive factors in these patients. We retrospectively analyzed AGC patients who underwent NRT from Surveillance, Epidemiology, and End Results (SEER) Database. The patients' clinical and post-therapy pathological characteristics were analyzed. The best cutoff points for continuous variables were identified by X-tile. The discrimination of risk factors were compared by receiver operating characteristic (ROC) curve. As a result, 1,429 AGC patients were included into this study. In the multivariate analysis, the lymph nodes status and histology grade were significant risk factors for DSS (disease special survival). Then, we propose a novel Grade-lymph node Ratio (G-R) staging system for the AGC patients' survival prognosis. Clearly, the new G-R staging system has a more-accurate 3-year and 5-year DSS prediction than the AJCC staging system (p = 0.001, 0.007, respectively). In conclusions, the current large, general population-based study demonstrated that the G-R staging system resulting in more-accurate DSS prediction. It could be regarded as a reliable classification for AGC patients after NRT in future.</abstract><cop>United States</cop><pub>Impact Journals LLC</pub><pmid>27740935</pmid><doi>10.18632/oncotarget.12573</doi><tpages>10</tpages><oa>free_for_read</oa></addata></record>
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source Freely Accessible Journals; MEDLINE; PubMed Central Open Access; EZB-FREE-00999 freely available EZB journals; PubMed Central
subjects Adolescent
Adult
Aged
Aged, 80 and over
Area Under Curve
Clinical Research Paper
Disease-Free Survival
Female
Humans
Kaplan-Meier Estimate
Lymph Nodes - pathology
Lymphatic Metastasis - pathology
Male
Middle Aged
Neoadjuvant Therapy
Neoplasm Staging - methods
Prognosis
Proportional Hazards Models
Radiotherapy, Adjuvant
ROC Curve
SEER Program
Stomach Neoplasms - mortality
Stomach Neoplasms - pathology
Stomach Neoplasms - radiotherapy
Young Adult
title A novel grade-lymph node ratio model predicts the prognosis of the advanced gastric cancer patients after neoadjuvant radiotherapy
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