Cytokines as Biomarkers of Pancreatic Ductal Adenocarcinoma: A Systematic Review
A systematic review of the role of cytokines in clinical medicine as diagnostic, prognostic, or predictive biomarkers in pancreatic ductal adenocarcinoma was undertaken. A systematic review was conducted according to the 2009 PRISMA guidelines. PubMed database was searched for all original articles...
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description | A systematic review of the role of cytokines in clinical medicine as diagnostic, prognostic, or predictive biomarkers in pancreatic ductal adenocarcinoma was undertaken.
A systematic review was conducted according to the 2009 PRISMA guidelines. PubMed database was searched for all original articles on the topic of interest published until June 2015, and this was supplemented with references cited in relevant articles. Studies were evaluated for risk of bias using the Quality in Prognosis Studies tools.
Forty one cytokines were investigated with relation to pancreatic ductal adenocarcinoma (PDAC) in 65 studies, ten of which were analyzed by more than three studies. Six cytokines (interleukin[IL]-1β, -6, -8, -10, vascular endothelial growth factor, and transforming growth factor) were consistently reported to be increased in PDAC by more than four studies; irrespective of sample type; method of measurement; or statistical analysis model used. When evaluated as part of distinct panels that included CA19-9, IL-1β, -6 and -8 improved the performance of CA19-9 alone in differentiating PDAC from healthy controls. For example, a panel comprising IL-1β, IL-8, and CA 19-9 had a sensitivity of 94.1% vs 85.9%, specificity of 100% vs 96.3%, and area under the curve of 0.984 vs 0.925. The above-mentioned cytokines were associated with the severity of PDAC. IL-2, -6, -10, VEGF, and TGF levels were reported to be altered after patients received therapy or surgery. However, studies did not show any evidence of their ability to predict treatment response.
Our review demonstrates that there is insufficient evidence to support the role of individual cytokines as diagnostic, predictive or prognostic biomarkers for PDAC. However, emerging evidence indicates that a panel of cytokines may be a better tool for discriminating PDAC from other non-malignant pancreatic diseases or healthy individuals. |
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A systematic review was conducted according to the 2009 PRISMA guidelines. PubMed database was searched for all original articles on the topic of interest published until June 2015, and this was supplemented with references cited in relevant articles. Studies were evaluated for risk of bias using the Quality in Prognosis Studies tools.
Forty one cytokines were investigated with relation to pancreatic ductal adenocarcinoma (PDAC) in 65 studies, ten of which were analyzed by more than three studies. Six cytokines (interleukin[IL]-1β, -6, -8, -10, vascular endothelial growth factor, and transforming growth factor) were consistently reported to be increased in PDAC by more than four studies; irrespective of sample type; method of measurement; or statistical analysis model used. When evaluated as part of distinct panels that included CA19-9, IL-1β, -6 and -8 improved the performance of CA19-9 alone in differentiating PDAC from healthy controls. For example, a panel comprising IL-1β, IL-8, and CA 19-9 had a sensitivity of 94.1% vs 85.9%, specificity of 100% vs 96.3%, and area under the curve of 0.984 vs 0.925. The above-mentioned cytokines were associated with the severity of PDAC. IL-2, -6, -10, VEGF, and TGF levels were reported to be altered after patients received therapy or surgery. However, studies did not show any evidence of their ability to predict treatment response.
Our review demonstrates that there is insufficient evidence to support the role of individual cytokines as diagnostic, predictive or prognostic biomarkers for PDAC. However, emerging evidence indicates that a panel of cytokines may be a better tool for discriminating PDAC from other non-malignant pancreatic diseases or healthy individuals.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0154016</identifier><identifier>PMID: 27170998</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Adenocarcinoma ; Adolescent ; Adult ; Aged ; Aged, 80 and over ; Analysis ; Bias ; Biological markers ; Biology and Life Sciences ; Biomarkers ; Biomarkers, Tumor - blood ; Cancer therapies ; Carcinoma, Pancreatic Ductal - blood ; Carcinoma, Pancreatic Ductal - diagnosis ; Clinical medicine ; Colorectal cancer ; Cytokines ; Cytokines - blood ; Diabetes ; Diagnosis ; Diagnostic systems ; Genetic engineering ; Growth factors ; Health sciences ; Humans ; Interleukin ; Interleukin 2 ; Interleukin 8 ; Mathematical models ; Medical prognosis ; Medical research ; Medicine and Health Sciences ; Metastasis ; Middle Aged ; Mutation ; Pancreas ; Pancreatic cancer ; Pancreatic diseases ; Pancreatic Neoplasms - blood ; Pancreatic Neoplasms - diagnosis ; Patients ; Predictive Value of Tests ; Prognosis ; Quality ; Quality Assurance, Health Care ; Research and Analysis Methods ; Risk Factors ; Severity of Illness Index ; Statistical analysis ; Studies ; Surgery ; Systematic review ; Transforming growth factor ; Vascular endothelial growth factor ; Young Adult</subject><ispartof>PloS one, 2016-05, Vol.11 (5), p.e0154016</ispartof><rights>COPYRIGHT 2016 Public Library of Science</rights><rights>2016 Yako 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>2016 Yako et al 2016 Yako et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c725t-d1bb20b6171abc577813952016a019a357bc080ed4a107158a0d8fc6915a24b23</citedby><cites>FETCH-LOGICAL-c725t-d1bb20b6171abc577813952016a019a357bc080ed4a107158a0d8fc6915a24b23</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/PMC4865360/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC4865360/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,864,885,2102,2928,23866,27924,27925,53791,53793,79600,79601</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/27170998$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><contributor>Real, Francisco X.</contributor><creatorcontrib>Yako, Yandiswa Yolanda</creatorcontrib><creatorcontrib>Kruger, Deirdré</creatorcontrib><creatorcontrib>Smith, Martin</creatorcontrib><creatorcontrib>Brand, Martin</creatorcontrib><title>Cytokines as Biomarkers of Pancreatic Ductal Adenocarcinoma: A Systematic Review</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>A systematic review of the role of cytokines in clinical medicine as diagnostic, prognostic, or predictive biomarkers in pancreatic ductal adenocarcinoma was undertaken.
A systematic review was conducted according to the 2009 PRISMA guidelines. PubMed database was searched for all original articles on the topic of interest published until June 2015, and this was supplemented with references cited in relevant articles. Studies were evaluated for risk of bias using the Quality in Prognosis Studies tools.
Forty one cytokines were investigated with relation to pancreatic ductal adenocarcinoma (PDAC) in 65 studies, ten of which were analyzed by more than three studies. Six cytokines (interleukin[IL]-1β, -6, -8, -10, vascular endothelial growth factor, and transforming growth factor) were consistently reported to be increased in PDAC by more than four studies; irrespective of sample type; method of measurement; or statistical analysis model used. When evaluated as part of distinct panels that included CA19-9, IL-1β, -6 and -8 improved the performance of CA19-9 alone in differentiating PDAC from healthy controls. For example, a panel comprising IL-1β, IL-8, and CA 19-9 had a sensitivity of 94.1% vs 85.9%, specificity of 100% vs 96.3%, and area under the curve of 0.984 vs 0.925. The above-mentioned cytokines were associated with the severity of PDAC. IL-2, -6, -10, VEGF, and TGF levels were reported to be altered after patients received therapy or surgery. However, studies did not show any evidence of their ability to predict treatment response.
Our review demonstrates that there is insufficient evidence to support the role of individual cytokines as diagnostic, predictive or prognostic biomarkers for PDAC. However, emerging evidence indicates that a panel of cytokines may be a better tool for discriminating PDAC from other non-malignant pancreatic diseases or healthy individuals.</description><subject>Adenocarcinoma</subject><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Analysis</subject><subject>Bias</subject><subject>Biological markers</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - blood</subject><subject>Cancer therapies</subject><subject>Carcinoma, Pancreatic Ductal - blood</subject><subject>Carcinoma, Pancreatic Ductal - diagnosis</subject><subject>Clinical medicine</subject><subject>Colorectal cancer</subject><subject>Cytokines</subject><subject>Cytokines - blood</subject><subject>Diabetes</subject><subject>Diagnosis</subject><subject>Diagnostic systems</subject><subject>Genetic engineering</subject><subject>Growth factors</subject><subject>Health sciences</subject><subject>Humans</subject><subject>Interleukin</subject><subject>Interleukin 2</subject><subject>Interleukin 8</subject><subject>Mathematical models</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine and Health Sciences</subject><subject>Metastasis</subject><subject>Middle Aged</subject><subject>Mutation</subject><subject>Pancreas</subject><subject>Pancreatic cancer</subject><subject>Pancreatic diseases</subject><subject>Pancreatic Neoplasms - blood</subject><subject>Pancreatic Neoplasms - diagnosis</subject><subject>Patients</subject><subject>Predictive Value of Tests</subject><subject>Prognosis</subject><subject>Quality</subject><subject>Quality Assurance, Health Care</subject><subject>Research and Analysis Methods</subject><subject>Risk Factors</subject><subject>Severity of Illness Index</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Surgery</subject><subject>Systematic review</subject><subject>Transforming growth factor</subject><subject>Vascular endothelial growth factor</subject><subject>Young Adult</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><sourceid>DOA</sourceid><recordid>eNqNk1tv0zAUxyMEYmPwDRBEQkLw0OJr7OwBqZRbpUmbNuDVOnGc1l0aFzsZ9NvjtN3UoEkgP9g6_p2_z8UnSZ5jNMZU4HdL1_kG6vHaNWaMMGcIZw-SY5xTMsoIog8PzkfJkxCWCHEqs-xxckQEFijP5XFyMd207to2JqQQ0g_WrcBfGx9SV6UX0GhvoLU6_djpFup0UprGafDaNhE8TSfp1Sa0ZrVlLs2NNb-eJo8qqIN5tt9Pku-fP32bfh2dnX-ZTSdnIy0Ib0clLgqCigwLDIXmQkhMc05iDoBwDpSLQiOJTMkAI4G5BFTKSmc55kBYQehJ8nKnu65dUPtiBIWFlJxRgmkkZjuidLBUa29jahvlwKqtwfm5Ah8Dr40qtZGUcwGoyhipSMEM50VRQF5lWDIUtd7vX-uKlYl403qoB6LDm8Yu1NzdKCYzTrNe4M1ewLufnQmtWtmgTV1DY1zXx50zlvO-Wf9GZR5RhvsivPoLvb8Qe2oOMVfbVC6GqHtRNWGcUoHIVmt8DxVXaVZWx09W2WgfOLwdOESmNb_bOXQhqNnV5f-z5z-G7OsDdmGgbhfB1V1rXROGINuB2rsQvKnu-oGR6mfkthqqnxG1n5Ho9uKwl3dOt0NB_wA2fQlg</recordid><startdate>20160512</startdate><enddate>20160512</enddate><creator>Yako, Yandiswa Yolanda</creator><creator>Kruger, Deirdré</creator><creator>Smith, Martin</creator><creator>Brand, Martin</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>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>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope></search><sort><creationdate>20160512</creationdate><title>Cytokines as Biomarkers of Pancreatic Ductal Adenocarcinoma: A Systematic Review</title><author>Yako, Yandiswa Yolanda ; Kruger, Deirdré ; Smith, Martin ; Brand, Martin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c725t-d1bb20b6171abc577813952016a019a357bc080ed4a107158a0d8fc6915a24b23</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Adenocarcinoma</topic><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Analysis</topic><topic>Bias</topic><topic>Biological markers</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - blood</topic><topic>Cancer therapies</topic><topic>Carcinoma, Pancreatic Ductal - blood</topic><topic>Carcinoma, Pancreatic Ductal - diagnosis</topic><topic>Clinical medicine</topic><topic>Colorectal cancer</topic><topic>Cytokines</topic><topic>Cytokines - blood</topic><topic>Diabetes</topic><topic>Diagnosis</topic><topic>Diagnostic systems</topic><topic>Genetic engineering</topic><topic>Growth factors</topic><topic>Health sciences</topic><topic>Humans</topic><topic>Interleukin</topic><topic>Interleukin 2</topic><topic>Interleukin 8</topic><topic>Mathematical models</topic><topic>Medical prognosis</topic><topic>Medical research</topic><topic>Medicine and Health Sciences</topic><topic>Metastasis</topic><topic>Middle Aged</topic><topic>Mutation</topic><topic>Pancreas</topic><topic>Pancreatic cancer</topic><topic>Pancreatic diseases</topic><topic>Pancreatic Neoplasms - blood</topic><topic>Pancreatic Neoplasms - diagnosis</topic><topic>Patients</topic><topic>Predictive Value of Tests</topic><topic>Prognosis</topic><topic>Quality</topic><topic>Quality Assurance, Health Care</topic><topic>Research and Analysis Methods</topic><topic>Risk Factors</topic><topic>Severity of Illness Index</topic><topic>Statistical analysis</topic><topic>Studies</topic><topic>Surgery</topic><topic>Systematic review</topic><topic>Transforming growth factor</topic><topic>Vascular endothelial growth factor</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yako, Yandiswa Yolanda</creatorcontrib><creatorcontrib>Kruger, Deirdré</creatorcontrib><creatorcontrib>Smith, Martin</creatorcontrib><creatorcontrib>Brand, Martin</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Opposing Viewpoints Resource Center</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 Complete (ProQuest Database)</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Public Health Database (Proquest)</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)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Agricultural & Environmental Science</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest 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>https://resources.nclive.org/materials</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>Yako, Yandiswa Yolanda</au><au>Kruger, Deirdré</au><au>Smith, Martin</au><au>Brand, Martin</au><au>Real, Francisco X.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Cytokines as Biomarkers of Pancreatic Ductal Adenocarcinoma: A Systematic Review</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2016-05-12</date><risdate>2016</risdate><volume>11</volume><issue>5</issue><spage>e0154016</spage><pages>e0154016-</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>A systematic review of the role of cytokines in clinical medicine as diagnostic, prognostic, or predictive biomarkers in pancreatic ductal adenocarcinoma was undertaken.
A systematic review was conducted according to the 2009 PRISMA guidelines. PubMed database was searched for all original articles on the topic of interest published until June 2015, and this was supplemented with references cited in relevant articles. Studies were evaluated for risk of bias using the Quality in Prognosis Studies tools.
Forty one cytokines were investigated with relation to pancreatic ductal adenocarcinoma (PDAC) in 65 studies, ten of which were analyzed by more than three studies. Six cytokines (interleukin[IL]-1β, -6, -8, -10, vascular endothelial growth factor, and transforming growth factor) were consistently reported to be increased in PDAC by more than four studies; irrespective of sample type; method of measurement; or statistical analysis model used. When evaluated as part of distinct panels that included CA19-9, IL-1β, -6 and -8 improved the performance of CA19-9 alone in differentiating PDAC from healthy controls. For example, a panel comprising IL-1β, IL-8, and CA 19-9 had a sensitivity of 94.1% vs 85.9%, specificity of 100% vs 96.3%, and area under the curve of 0.984 vs 0.925. The above-mentioned cytokines were associated with the severity of PDAC. IL-2, -6, -10, VEGF, and TGF levels were reported to be altered after patients received therapy or surgery. However, studies did not show any evidence of their ability to predict treatment response.
Our review demonstrates that there is insufficient evidence to support the role of individual cytokines as diagnostic, predictive or prognostic biomarkers for PDAC. However, emerging evidence indicates that a panel of cytokines may be a better tool for discriminating PDAC from other non-malignant pancreatic diseases or healthy individuals.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>27170998</pmid><doi>10.1371/journal.pone.0154016</doi><oa>free_for_read</oa></addata></record> |
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subjects | Adenocarcinoma Adolescent Adult Aged Aged, 80 and over Analysis Bias Biological markers Biology and Life Sciences Biomarkers Biomarkers, Tumor - blood Cancer therapies Carcinoma, Pancreatic Ductal - blood Carcinoma, Pancreatic Ductal - diagnosis Clinical medicine Colorectal cancer Cytokines Cytokines - blood Diabetes Diagnosis Diagnostic systems Genetic engineering Growth factors Health sciences Humans Interleukin Interleukin 2 Interleukin 8 Mathematical models Medical prognosis Medical research Medicine and Health Sciences Metastasis Middle Aged Mutation Pancreas Pancreatic cancer Pancreatic diseases Pancreatic Neoplasms - blood Pancreatic Neoplasms - diagnosis Patients Predictive Value of Tests Prognosis Quality Quality Assurance, Health Care Research and Analysis Methods Risk Factors Severity of Illness Index Statistical analysis Studies Surgery Systematic review Transforming growth factor Vascular endothelial growth factor Young Adult |
title | Cytokines as Biomarkers of Pancreatic Ductal Adenocarcinoma: A Systematic Review |
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