Preoperative neutrophil-to-lymphocyte, platelet-to-lymphocyte and monocyte-to-lymphocyte ratio as a prognostic factor in non-endometrioid endometrial cancer
Evaluate the prognostic value of neutrophil-lymphocyte ratio (NMR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR) in patients with non-endometrioid endometrial cancer. Laboratory and clinicopathological data from 118 patients with non-endometrioid endometrial cancer who underw...
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Veröffentlicht in: | International journal of medical sciences 2021-01, Vol.18 (16), p.3712-3717 |
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container_title | International journal of medical sciences |
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creator | Song, Heekyoung Jeong, Min Jin Cha, Jimin Lee, Ji Sun Yoo, Ji Geun Song, Min Jong Kim, Jin Hwi Lee, Sung Jong Lee, Hae Nam Yoon, Joo Hee Park, Dong Choon Kim, Sang Il |
description | Evaluate the prognostic value of neutrophil-lymphocyte ratio (NMR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR) in patients with non-endometrioid endometrial cancer.
Laboratory and clinicopathological data from 118 patients with non-endometrioid endometrial cancer who underwent surgical resection between January 2010 and December 2019 were reviewed. NLR, PLR and MLR were analyzed for correlations with recurrence and survival. The receiver operating characteristic (ROC) curves were generated for the NLR, PLR, and MLR. Optimal cut-off values were determined as the points at which the Youden index (sensitivity + specificity - 1) was maximal. Based on the results of the ROC curve analysis, the patients were grouped into high MLR and low MLR groups. Recurrence rate, disease-free survival, and overall survival were compared between the two groups. The prognostic factors were investigated using univariate and multivariate Cox proportional hazards model.
The optimal cut-off value of MLR was 0.191 (AUC, 0.718;
< 0.001). Significantly more patients in the high MLR group experienced recurrence (60.3% vs. 15.6%,
< 0.0001) and cancer-related deaths (46.6% vs. 13.3%,
= 0.003). In multivariate analysis, advanced stage and high MLR were independent prognostic factors for disease-free survival and overall survival.
Elevated MLR was significantly associated poor clinical outcomes in patients with non endometrioid endometrial cancer. Our findings suggest that MLR may be clinically reliable and useful as an independent prognostic marker for patients with non-endometrioid endometrial cancer. |
doi_str_mv | 10.7150/ijms.64658 |
format | Article |
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Laboratory and clinicopathological data from 118 patients with non-endometrioid endometrial cancer who underwent surgical resection between January 2010 and December 2019 were reviewed. NLR, PLR and MLR were analyzed for correlations with recurrence and survival. The receiver operating characteristic (ROC) curves were generated for the NLR, PLR, and MLR. Optimal cut-off values were determined as the points at which the Youden index (sensitivity + specificity - 1) was maximal. Based on the results of the ROC curve analysis, the patients were grouped into high MLR and low MLR groups. Recurrence rate, disease-free survival, and overall survival were compared between the two groups. The prognostic factors were investigated using univariate and multivariate Cox proportional hazards model.
The optimal cut-off value of MLR was 0.191 (AUC, 0.718;
< 0.001). Significantly more patients in the high MLR group experienced recurrence (60.3% vs. 15.6%,
< 0.0001) and cancer-related deaths (46.6% vs. 13.3%,
= 0.003). In multivariate analysis, advanced stage and high MLR were independent prognostic factors for disease-free survival and overall survival.
Elevated MLR was significantly associated poor clinical outcomes in patients with non endometrioid endometrial cancer. Our findings suggest that MLR may be clinically reliable and useful as an independent prognostic marker for patients with non-endometrioid endometrial cancer.</description><identifier>ISSN: 1449-1907</identifier><identifier>EISSN: 1449-1907</identifier><identifier>DOI: 10.7150/ijms.64658</identifier><identifier>PMID: 34790044</identifier><language>eng</language><publisher>Australia: Ivyspring International Publisher Pty Ltd</publisher><subject>Adult ; Age ; Aged ; Aged, 80 and over ; Blood Cell Count - statistics & numerical data ; Blood platelets ; Blood Platelets - pathology ; Body mass index ; Cancer therapies ; Chemotherapy ; Disease ; Endometrial cancer ; Endometrial Neoplasms - blood ; Endometrial Neoplasms - diagnosis ; Endometrial Neoplasms - mortality ; Endometrial Neoplasms - surgery ; Female ; Histology ; Hospitals ; Humans ; Laboratories ; Lymphatic system ; Lymphocytes ; Lymphocytes - pathology ; Medical prognosis ; Metastasis ; Middle Aged ; Monocytes - pathology ; Neutrophils ; Neutrophils - pathology ; Patients ; Preoperative Period ; Prognosis ; Radiation ; Republic of Korea - epidemiology ; Research Paper ; Retrospective Studies ; Risk factors ; ROC Curve ; Surgery ; Survival Analysis ; Treatment Outcome ; Uterine cancer</subject><ispartof>International journal of medical sciences, 2021-01, Vol.18 (16), p.3712-3717</ispartof><rights>The author(s).</rights><rights>2021. This work is published under https://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><rights>The author(s) 2021</rights><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c406t-690bd235951e6172a935af6d4c530182c4ed5db3b63dbddd2b42acf2d451f6283</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579283/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC8579283/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,881,27903,27904,53768,53770</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/34790044$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Song, Heekyoung</creatorcontrib><creatorcontrib>Jeong, Min Jin</creatorcontrib><creatorcontrib>Cha, Jimin</creatorcontrib><creatorcontrib>Lee, Ji Sun</creatorcontrib><creatorcontrib>Yoo, Ji Geun</creatorcontrib><creatorcontrib>Song, Min Jong</creatorcontrib><creatorcontrib>Kim, Jin Hwi</creatorcontrib><creatorcontrib>Lee, Sung Jong</creatorcontrib><creatorcontrib>Lee, Hae Nam</creatorcontrib><creatorcontrib>Yoon, Joo Hee</creatorcontrib><creatorcontrib>Park, Dong Choon</creatorcontrib><creatorcontrib>Kim, Sang Il</creatorcontrib><title>Preoperative neutrophil-to-lymphocyte, platelet-to-lymphocyte and monocyte-to-lymphocyte ratio as a prognostic factor in non-endometrioid endometrial cancer</title><title>International journal of medical sciences</title><addtitle>Int J Med Sci</addtitle><description>Evaluate the prognostic value of neutrophil-lymphocyte ratio (NMR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR) in patients with non-endometrioid endometrial cancer.
Laboratory and clinicopathological data from 118 patients with non-endometrioid endometrial cancer who underwent surgical resection between January 2010 and December 2019 were reviewed. NLR, PLR and MLR were analyzed for correlations with recurrence and survival. The receiver operating characteristic (ROC) curves were generated for the NLR, PLR, and MLR. Optimal cut-off values were determined as the points at which the Youden index (sensitivity + specificity - 1) was maximal. Based on the results of the ROC curve analysis, the patients were grouped into high MLR and low MLR groups. Recurrence rate, disease-free survival, and overall survival were compared between the two groups. The prognostic factors were investigated using univariate and multivariate Cox proportional hazards model.
The optimal cut-off value of MLR was 0.191 (AUC, 0.718;
< 0.001). Significantly more patients in the high MLR group experienced recurrence (60.3% vs. 15.6%,
< 0.0001) and cancer-related deaths (46.6% vs. 13.3%,
= 0.003). In multivariate analysis, advanced stage and high MLR were independent prognostic factors for disease-free survival and overall survival.
Elevated MLR was significantly associated poor clinical outcomes in patients with non endometrioid endometrial cancer. Our findings suggest that MLR may be clinically reliable and useful as an independent prognostic marker for patients with non-endometrioid endometrial cancer.</description><subject>Adult</subject><subject>Age</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Blood Cell Count - statistics & numerical data</subject><subject>Blood platelets</subject><subject>Blood Platelets - pathology</subject><subject>Body mass index</subject><subject>Cancer therapies</subject><subject>Chemotherapy</subject><subject>Disease</subject><subject>Endometrial cancer</subject><subject>Endometrial Neoplasms - blood</subject><subject>Endometrial Neoplasms - diagnosis</subject><subject>Endometrial Neoplasms - mortality</subject><subject>Endometrial Neoplasms - surgery</subject><subject>Female</subject><subject>Histology</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Laboratories</subject><subject>Lymphatic system</subject><subject>Lymphocytes</subject><subject>Lymphocytes - pathology</subject><subject>Medical prognosis</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Monocytes - pathology</subject><subject>Neutrophils</subject><subject>Neutrophils - pathology</subject><subject>Patients</subject><subject>Preoperative Period</subject><subject>Prognosis</subject><subject>Radiation</subject><subject>Republic of Korea - epidemiology</subject><subject>Research Paper</subject><subject>Retrospective Studies</subject><subject>Risk factors</subject><subject>ROC Curve</subject><subject>Surgery</subject><subject>Survival Analysis</subject><subject>Treatment Outcome</subject><subject>Uterine cancer</subject><issn>1449-1907</issn><issn>1449-1907</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkd1qFTEUhYMotlZvfAAJeCPFqfmfMzcFKfUHCnqh1yGT7OnJIZOMSaZw3sWHdaath7ZXO3vvby9WWAi9peSspZJ88ruxnCmh5OYZOqZCdA3tSPv8wfsIvSplRwhnvKUv0REXbUeIEMfo788MaYJsqr8BHGGuOU1bH5qamrAfp22y-wof8RRMhQD18Ryb6PCY4m3zZLVKJmwKNnjK6TqmUr3Fg7E1Zewjjik2EF0aoWafvMOHxgRsTbSQX6MXgwkF3tzXE_T7y-Wvi2_N1Y-v3y8-XzVWEFUb1ZHeMS47SUHRlpmOSzMoJ6zkhG6YFeCk63mvuOudc6wXzNiBOSHpoNiGn6DzO91p7kdwFmLNJugp-9HkvU7G68eb6Lf6Ot3ojWy75X4R-HAvkNOfGUrVoy8WQjAR0lw0k92SAu9ku6Dvn6C7NOe4fG-lpFJEytXR6R1lcyolw3AwQ4leQ9dr6Po29AV-99D-Af2fMv8HuHiuIA</recordid><startdate>20210101</startdate><enddate>20210101</enddate><creator>Song, Heekyoung</creator><creator>Jeong, Min Jin</creator><creator>Cha, Jimin</creator><creator>Lee, Ji Sun</creator><creator>Yoo, Ji Geun</creator><creator>Song, Min Jong</creator><creator>Kim, Jin Hwi</creator><creator>Lee, Sung Jong</creator><creator>Lee, Hae Nam</creator><creator>Yoon, Joo Hee</creator><creator>Park, Dong Choon</creator><creator>Kim, Sang Il</creator><general>Ivyspring International Publisher Pty Ltd</general><general>Ivyspring International Publisher</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>3V.</scope><scope>7X7</scope><scope>7XB</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope><scope>5PM</scope></search><sort><creationdate>20210101</creationdate><title>Preoperative neutrophil-to-lymphocyte, platelet-to-lymphocyte and monocyte-to-lymphocyte ratio as a prognostic factor in non-endometrioid endometrial cancer</title><author>Song, Heekyoung ; Jeong, Min Jin ; Cha, Jimin ; Lee, Ji Sun ; Yoo, Ji Geun ; Song, Min Jong ; Kim, Jin Hwi ; Lee, Sung Jong ; Lee, Hae Nam ; Yoon, Joo Hee ; Park, Dong Choon ; Kim, Sang Il</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c406t-690bd235951e6172a935af6d4c530182c4ed5db3b63dbddd2b42acf2d451f6283</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>Adult</topic><topic>Age</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Blood Cell Count - statistics & numerical data</topic><topic>Blood platelets</topic><topic>Blood Platelets - pathology</topic><topic>Body mass index</topic><topic>Cancer therapies</topic><topic>Chemotherapy</topic><topic>Disease</topic><topic>Endometrial cancer</topic><topic>Endometrial Neoplasms - blood</topic><topic>Endometrial Neoplasms - diagnosis</topic><topic>Endometrial Neoplasms - mortality</topic><topic>Endometrial Neoplasms - surgery</topic><topic>Female</topic><topic>Histology</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Laboratories</topic><topic>Lymphatic system</topic><topic>Lymphocytes</topic><topic>Lymphocytes - pathology</topic><topic>Medical prognosis</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Monocytes - pathology</topic><topic>Neutrophils</topic><topic>Neutrophils - pathology</topic><topic>Patients</topic><topic>Preoperative Period</topic><topic>Prognosis</topic><topic>Radiation</topic><topic>Republic of Korea - epidemiology</topic><topic>Research Paper</topic><topic>Retrospective Studies</topic><topic>Risk factors</topic><topic>ROC Curve</topic><topic>Surgery</topic><topic>Survival Analysis</topic><topic>Treatment Outcome</topic><topic>Uterine cancer</topic><toplevel>online_resources</toplevel><creatorcontrib>Song, Heekyoung</creatorcontrib><creatorcontrib>Jeong, Min Jin</creatorcontrib><creatorcontrib>Cha, Jimin</creatorcontrib><creatorcontrib>Lee, Ji Sun</creatorcontrib><creatorcontrib>Yoo, Ji Geun</creatorcontrib><creatorcontrib>Song, Min Jong</creatorcontrib><creatorcontrib>Kim, Jin Hwi</creatorcontrib><creatorcontrib>Lee, Sung Jong</creatorcontrib><creatorcontrib>Lee, Hae Nam</creatorcontrib><creatorcontrib>Yoon, Joo Hee</creatorcontrib><creatorcontrib>Park, Dong Choon</creatorcontrib><creatorcontrib>Kim, Sang Il</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Health & Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>Health & Medical Collection (Alumni Edition)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>International journal of medical sciences</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Song, Heekyoung</au><au>Jeong, Min Jin</au><au>Cha, Jimin</au><au>Lee, Ji Sun</au><au>Yoo, Ji Geun</au><au>Song, Min Jong</au><au>Kim, Jin Hwi</au><au>Lee, Sung Jong</au><au>Lee, Hae Nam</au><au>Yoon, Joo Hee</au><au>Park, Dong Choon</au><au>Kim, Sang Il</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Preoperative neutrophil-to-lymphocyte, platelet-to-lymphocyte and monocyte-to-lymphocyte ratio as a prognostic factor in non-endometrioid endometrial cancer</atitle><jtitle>International journal of medical sciences</jtitle><addtitle>Int J Med Sci</addtitle><date>2021-01-01</date><risdate>2021</risdate><volume>18</volume><issue>16</issue><spage>3712</spage><epage>3717</epage><pages>3712-3717</pages><issn>1449-1907</issn><eissn>1449-1907</eissn><abstract>Evaluate the prognostic value of neutrophil-lymphocyte ratio (NMR), platelet-lymphocyte ratio (PLR), and monocyte-lymphocyte ratio (MLR) in patients with non-endometrioid endometrial cancer.
Laboratory and clinicopathological data from 118 patients with non-endometrioid endometrial cancer who underwent surgical resection between January 2010 and December 2019 were reviewed. NLR, PLR and MLR were analyzed for correlations with recurrence and survival. The receiver operating characteristic (ROC) curves were generated for the NLR, PLR, and MLR. Optimal cut-off values were determined as the points at which the Youden index (sensitivity + specificity - 1) was maximal. Based on the results of the ROC curve analysis, the patients were grouped into high MLR and low MLR groups. Recurrence rate, disease-free survival, and overall survival were compared between the two groups. The prognostic factors were investigated using univariate and multivariate Cox proportional hazards model.
The optimal cut-off value of MLR was 0.191 (AUC, 0.718;
< 0.001). Significantly more patients in the high MLR group experienced recurrence (60.3% vs. 15.6%,
< 0.0001) and cancer-related deaths (46.6% vs. 13.3%,
= 0.003). In multivariate analysis, advanced stage and high MLR were independent prognostic factors for disease-free survival and overall survival.
Elevated MLR was significantly associated poor clinical outcomes in patients with non endometrioid endometrial cancer. Our findings suggest that MLR may be clinically reliable and useful as an independent prognostic marker for patients with non-endometrioid endometrial cancer.</abstract><cop>Australia</cop><pub>Ivyspring International Publisher Pty Ltd</pub><pmid>34790044</pmid><doi>10.7150/ijms.64658</doi><tpages>6</tpages><oa>free_for_read</oa></addata></record> |
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subjects | Adult Age Aged Aged, 80 and over Blood Cell Count - statistics & numerical data Blood platelets Blood Platelets - pathology Body mass index Cancer therapies Chemotherapy Disease Endometrial cancer Endometrial Neoplasms - blood Endometrial Neoplasms - diagnosis Endometrial Neoplasms - mortality Endometrial Neoplasms - surgery Female Histology Hospitals Humans Laboratories Lymphatic system Lymphocytes Lymphocytes - pathology Medical prognosis Metastasis Middle Aged Monocytes - pathology Neutrophils Neutrophils - pathology Patients Preoperative Period Prognosis Radiation Republic of Korea - epidemiology Research Paper Retrospective Studies Risk factors ROC Curve Surgery Survival Analysis Treatment Outcome Uterine cancer |
title | Preoperative neutrophil-to-lymphocyte, platelet-to-lymphocyte and monocyte-to-lymphocyte ratio as a prognostic factor in non-endometrioid endometrial cancer |
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