Correlation between p-STAT3 overexpression and prognosis in lung cancer: A systematic review and meta-analysis
Previous studies have shown the correlation between p-STAT3 overexpression and prognosis in a variety of human tumors. However, their correlation in lung cancer remains controversial. We performed a systematic review and meta-analysis to explore the correlation between p-STAT3 overexpression and pro...
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| description | Previous studies have shown the correlation between p-STAT3 overexpression and prognosis in a variety of human tumors. However, their correlation in lung cancer remains controversial. We performed a systematic review and meta-analysis to explore the correlation between p-STAT3 overexpression and prognosis in lung cancer patients.
We searched PubMed, Embase, Web of Science, CNKI, VIP, and WanFang Data to identify relevant studies. Two reviewers independently screened the literature search results, extracted data, and assessed the methodological quality of the included studies. Then, meta-analysis was performed by using Review Manager 5.3 and STATA 14 software. A random-effect model was employed to evaluate all related pooled results. Statistical heterogeneity of each study was assessed by I2. Publication bias was determined by funnel plot and the Begg's or Egger's tests.
Eventually, 13 studies were included in present meta-analysis. Among these 13 studies, 8 studies were associated with the overall survival of lung cancer and 10 studies with other clinicopathological characteristics. The results of this meta-analysis suggested that p-STAT3 overexpression may be a poor prognosis biomarker in lung cancer (HR: 1.23; 95% CI: 1.04-1.46; P = 0.02). In terms of other clinicopathological characteristics, p-STAT3 overexpression was more frequent to advanced TNM stages ranging from III to IV (OR: 1.92; 95% CI: 1.13-3.27; P = 0.02) and lymphatic node metastasis (OR: 1.81; 95% CI: 1.20-2.72; P = 0.004). But, it was not associated with tumor differentiation (OR: 0.82; 95% CI: 0.44-1.53; P = 0.54).
p-STAT3 overexpression has significant correlation with poorer overall survival of lung cancer patients, as well as with more advanced TNM stages and lymph node metastasis. Thus, it may serve a biomarker for poor prognosis in lung cancer. Nevertheless, our findings should be confirmed by large prospective studies. |
| doi_str_mv | 10.1371/journal.pone.0182282 |
| format | Article |
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We searched PubMed, Embase, Web of Science, CNKI, VIP, and WanFang Data to identify relevant studies. Two reviewers independently screened the literature search results, extracted data, and assessed the methodological quality of the included studies. Then, meta-analysis was performed by using Review Manager 5.3 and STATA 14 software. A random-effect model was employed to evaluate all related pooled results. Statistical heterogeneity of each study was assessed by I2. Publication bias was determined by funnel plot and the Begg's or Egger's tests.
Eventually, 13 studies were included in present meta-analysis. Among these 13 studies, 8 studies were associated with the overall survival of lung cancer and 10 studies with other clinicopathological characteristics. The results of this meta-analysis suggested that p-STAT3 overexpression may be a poor prognosis biomarker in lung cancer (HR: 1.23; 95% CI: 1.04-1.46; P = 0.02). In terms of other clinicopathological characteristics, p-STAT3 overexpression was more frequent to advanced TNM stages ranging from III to IV (OR: 1.92; 95% CI: 1.13-3.27; P = 0.02) and lymphatic node metastasis (OR: 1.81; 95% CI: 1.20-2.72; P = 0.004). But, it was not associated with tumor differentiation (OR: 0.82; 95% CI: 0.44-1.53; P = 0.54).
p-STAT3 overexpression has significant correlation with poorer overall survival of lung cancer patients, as well as with more advanced TNM stages and lymph node metastasis. Thus, it may serve a biomarker for poor prognosis in lung cancer. Nevertheless, our findings should be confirmed by large prospective studies.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0182282</identifier><identifier>PMID: 28797050</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Bioindicators ; Biology and Life Sciences ; Biomarkers ; Biomarkers, Tumor - metabolism ; Cancer ; Care and treatment ; Cell cycle ; Correlation ; Correlation analysis ; Diagnosis ; Differentiation ; Epidermal growth factor ; Gastric cancer ; Gene expression ; Health screening ; Heterogeneity ; Kaplan-Meier Estimate ; Kinases ; Ligands ; Lung cancer ; Lung diseases ; Lung Neoplasms - metabolism ; Lung Neoplasms - mortality ; Lung Neoplasms - pathology ; Lymph ; Lymph nodes ; Lymphatic Metastasis ; Medical ethics ; Medical prognosis ; Medical research ; Medicine ; Medicine and Health Sciences ; Meta-analysis ; Metastases ; Metastasis ; Mortality ; Oncology ; Patients ; Phosphoproteins - metabolism ; Phosphorylation ; Physical Sciences ; Prognosis ; Proportional Hazards Models ; Quality assessment ; Research and Analysis Methods ; Researchers ; Rodents ; Search methods ; Software ; Stat3 protein ; STAT3 Transcription Factor - metabolism ; Stomach cancer ; Studies ; Survival ; Transcription factors ; Tumors ; Vasoactive intestinal peptide</subject><ispartof>PloS one, 2017-08, Vol.12 (8), p.e0182282-e0182282</ispartof><rights>COPYRIGHT 2017 Public Library of Science</rights><rights>2017 Tong 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>2017 Tong et al 2017 Tong et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c692t-cbd646222cd5f49a052dd51e5b67f69f7da8621fd4c550d6e733649747907e3d3</citedby><cites>FETCH-LOGICAL-c692t-cbd646222cd5f49a052dd51e5b67f69f7da8621fd4c550d6e733649747907e3d3</cites><orcidid>0000-0003-2240-9758 ; 0000-0001-8284-6031</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552221/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC5552221/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,723,776,780,860,881,2096,2915,23845,27901,27902,53766,53768,79342,79343</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/28797050$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Tong, Mengting</creatorcontrib><creatorcontrib>Wang, Jing</creatorcontrib><creatorcontrib>Jiang, Nanyu</creatorcontrib><creatorcontrib>Pan, Hongming</creatorcontrib><creatorcontrib>Li, Da</creatorcontrib><title>Correlation between p-STAT3 overexpression and prognosis in lung cancer: A systematic review and meta-analysis</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>Previous studies have shown the correlation between p-STAT3 overexpression and prognosis in a variety of human tumors. However, their correlation in lung cancer remains controversial. We performed a systematic review and meta-analysis to explore the correlation between p-STAT3 overexpression and prognosis in lung cancer patients.
We searched PubMed, Embase, Web of Science, CNKI, VIP, and WanFang Data to identify relevant studies. Two reviewers independently screened the literature search results, extracted data, and assessed the methodological quality of the included studies. Then, meta-analysis was performed by using Review Manager 5.3 and STATA 14 software. A random-effect model was employed to evaluate all related pooled results. Statistical heterogeneity of each study was assessed by I2. Publication bias was determined by funnel plot and the Begg's or Egger's tests.
Eventually, 13 studies were included in present meta-analysis. Among these 13 studies, 8 studies were associated with the overall survival of lung cancer and 10 studies with other clinicopathological characteristics. The results of this meta-analysis suggested that p-STAT3 overexpression may be a poor prognosis biomarker in lung cancer (HR: 1.23; 95% CI: 1.04-1.46; P = 0.02). In terms of other clinicopathological characteristics, p-STAT3 overexpression was more frequent to advanced TNM stages ranging from III to IV (OR: 1.92; 95% CI: 1.13-3.27; P = 0.02) and lymphatic node metastasis (OR: 1.81; 95% CI: 1.20-2.72; P = 0.004). But, it was not associated with tumor differentiation (OR: 0.82; 95% CI: 0.44-1.53; P = 0.54).
p-STAT3 overexpression has significant correlation with poorer overall survival of lung cancer patients, as well as with more advanced TNM stages and lymph node metastasis. Thus, it may serve a biomarker for poor prognosis in lung cancer. Nevertheless, our findings should be confirmed by large prospective studies.</description><subject>Bioindicators</subject><subject>Biology and Life Sciences</subject><subject>Biomarkers</subject><subject>Biomarkers, Tumor - metabolism</subject><subject>Cancer</subject><subject>Care and treatment</subject><subject>Cell cycle</subject><subject>Correlation</subject><subject>Correlation analysis</subject><subject>Diagnosis</subject><subject>Differentiation</subject><subject>Epidermal growth factor</subject><subject>Gastric cancer</subject><subject>Gene expression</subject><subject>Health screening</subject><subject>Heterogeneity</subject><subject>Kaplan-Meier Estimate</subject><subject>Kinases</subject><subject>Ligands</subject><subject>Lung cancer</subject><subject>Lung diseases</subject><subject>Lung Neoplasms - metabolism</subject><subject>Lung Neoplasms - mortality</subject><subject>Lung Neoplasms - pathology</subject><subject>Lymph</subject><subject>Lymph nodes</subject><subject>Lymphatic Metastasis</subject><subject>Medical ethics</subject><subject>Medical prognosis</subject><subject>Medical research</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Meta-analysis</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Mortality</subject><subject>Oncology</subject><subject>Patients</subject><subject>Phosphoproteins - metabolism</subject><subject>Phosphorylation</subject><subject>Physical Sciences</subject><subject>Prognosis</subject><subject>Proportional Hazards Models</subject><subject>Quality assessment</subject><subject>Research and Analysis Methods</subject><subject>Researchers</subject><subject>Rodents</subject><subject>Search methods</subject><subject>Software</subject><subject>Stat3 protein</subject><subject>STAT3 Transcription Factor - metabolism</subject><subject>Stomach cancer</subject><subject>Studies</subject><subject>Survival</subject><subject>Transcription factors</subject><subject>Tumors</subject><subject>Vasoactive intestinal peptide</subject><issn>1932-6203</issn><issn>1932-6203</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2017</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><sourceid>DOA</sourceid><recordid>eNqNk11r2zAUhs3YWLtu_2BshsHYLpzpw5KsXQxC2EegUFiz3QrFOk5cHMmT7LT591MSt8SjF0MXFtLzvufDOknyGqMJpgJ_unG9t7qZtM7CBOGCkII8Sc6xpCTjBNGnJ_uz5EUINwgxWnD-PDkjhZACMXSe2JnzHhrd1c6mS-huAWzaZteL6YKmbgse7loPIeyvtTVp693KulCHtLZp09tVWmpbgv-cTtOwCx1solWZetjWcHtQbKDTmY6Z7qLqZfKs0k2AV8P3Ivn17eti9iO7vPo-n00vs5JL0mXl0vCcE0JKw6pcasSIMQwDW3JRcVkJowtOcGXykjFkOAhKeS5FLiQSQA29SN4efdvGBTW0KigsiRAyLwSPxPxIGKdvVOvrjfY75XStDgfOr5T2sZQGFMd4GcMbirnJY04yJiepLkxOcU5EHr2-DNH65QZMCbbzuhmZjm9svVYrt1WMsVgkjgYfBgPv_vQQOrWpQwlNoy24_pB3wTCRhYjou3_Qx6sbqJWOBdS2cjFuuTdVU4YQyZEkLFKTR6i4DGzqMr6rqo7nI8HHkSAyHdx1K92HoObXP_-fvfo9Zt-fsGvQTbcOrun3rzKMwfwIlt6F4KF6aDJGaj8W991Q-7FQw1hE2ZvTH_Qgup8D-hexXAcg</recordid><startdate>20170810</startdate><enddate>20170810</enddate><creator>Tong, Mengting</creator><creator>Wang, Jing</creator><creator>Jiang, Nanyu</creator><creator>Pan, Hongming</creator><creator>Li, Da</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>PRINS</scope><scope>PTHSS</scope><scope>PYCSY</scope><scope>RC3</scope><scope>7X8</scope><scope>5PM</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0003-2240-9758</orcidid><orcidid>https://orcid.org/0000-0001-8284-6031</orcidid></search><sort><creationdate>20170810</creationdate><title>Correlation between p-STAT3 overexpression and prognosis in lung cancer: A systematic review and meta-analysis</title><author>Tong, Mengting ; Wang, Jing ; Jiang, Nanyu ; Pan, Hongming ; Li, Da</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c692t-cbd646222cd5f49a052dd51e5b67f69f7da8621fd4c550d6e733649747907e3d3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2017</creationdate><topic>Bioindicators</topic><topic>Biology and Life Sciences</topic><topic>Biomarkers</topic><topic>Biomarkers, Tumor - 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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>Tong, Mengting</au><au>Wang, Jing</au><au>Jiang, Nanyu</au><au>Pan, Hongming</au><au>Li, Da</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Correlation between p-STAT3 overexpression and prognosis in lung cancer: A systematic review and meta-analysis</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2017-08-10</date><risdate>2017</risdate><volume>12</volume><issue>8</issue><spage>e0182282</spage><epage>e0182282</epage><pages>e0182282-e0182282</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>Previous studies have shown the correlation between p-STAT3 overexpression and prognosis in a variety of human tumors. However, their correlation in lung cancer remains controversial. We performed a systematic review and meta-analysis to explore the correlation between p-STAT3 overexpression and prognosis in lung cancer patients.
We searched PubMed, Embase, Web of Science, CNKI, VIP, and WanFang Data to identify relevant studies. Two reviewers independently screened the literature search results, extracted data, and assessed the methodological quality of the included studies. Then, meta-analysis was performed by using Review Manager 5.3 and STATA 14 software. A random-effect model was employed to evaluate all related pooled results. Statistical heterogeneity of each study was assessed by I2. Publication bias was determined by funnel plot and the Begg's or Egger's tests.
Eventually, 13 studies were included in present meta-analysis. Among these 13 studies, 8 studies were associated with the overall survival of lung cancer and 10 studies with other clinicopathological characteristics. The results of this meta-analysis suggested that p-STAT3 overexpression may be a poor prognosis biomarker in lung cancer (HR: 1.23; 95% CI: 1.04-1.46; P = 0.02). In terms of other clinicopathological characteristics, p-STAT3 overexpression was more frequent to advanced TNM stages ranging from III to IV (OR: 1.92; 95% CI: 1.13-3.27; P = 0.02) and lymphatic node metastasis (OR: 1.81; 95% CI: 1.20-2.72; P = 0.004). But, it was not associated with tumor differentiation (OR: 0.82; 95% CI: 0.44-1.53; P = 0.54).
p-STAT3 overexpression has significant correlation with poorer overall survival of lung cancer patients, as well as with more advanced TNM stages and lymph node metastasis. Thus, it may serve a biomarker for poor prognosis in lung cancer. Nevertheless, our findings should be confirmed by large prospective studies.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>28797050</pmid><doi>10.1371/journal.pone.0182282</doi><tpages>e0182282</tpages><orcidid>https://orcid.org/0000-0003-2240-9758</orcidid><orcidid>https://orcid.org/0000-0001-8284-6031</orcidid><oa>free_for_read</oa></addata></record> |
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| recordid | cdi_plos_journals_1927794876 |
| source | Public Library of Science (PLoS) Journals Open Access; MEDLINE; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals; PubMed Central; Free Full-Text Journals in Chemistry |
| subjects | Bioindicators Biology and Life Sciences Biomarkers Biomarkers, Tumor - metabolism Cancer Care and treatment Cell cycle Correlation Correlation analysis Diagnosis Differentiation Epidermal growth factor Gastric cancer Gene expression Health screening Heterogeneity Kaplan-Meier Estimate Kinases Ligands Lung cancer Lung diseases Lung Neoplasms - metabolism Lung Neoplasms - mortality Lung Neoplasms - pathology Lymph Lymph nodes Lymphatic Metastasis Medical ethics Medical prognosis Medical research Medicine Medicine and Health Sciences Meta-analysis Metastases Metastasis Mortality Oncology Patients Phosphoproteins - metabolism Phosphorylation Physical Sciences Prognosis Proportional Hazards Models Quality assessment Research and Analysis Methods Researchers Rodents Search methods Software Stat3 protein STAT3 Transcription Factor - metabolism Stomach cancer Studies Survival Transcription factors Tumors Vasoactive intestinal peptide |
| title | Correlation between p-STAT3 overexpression and prognosis in lung cancer: A systematic review and meta-analysis |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-10T13%3A59%3A37IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-gale_plos_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Correlation%20between%20p-STAT3%20overexpression%20and%20prognosis%20in%20lung%20cancer:%20A%20systematic%20review%20and%20meta-analysis&rft.jtitle=PloS%20one&rft.au=Tong,%20Mengting&rft.date=2017-08-10&rft.volume=12&rft.issue=8&rft.spage=e0182282&rft.epage=e0182282&rft.pages=e0182282-e0182282&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0182282&rft_dat=%3Cgale_plos_%3EA500240925%3C/gale_plos_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1927794876&rft_id=info:pmid/28797050&rft_galeid=A500240925&rft_doaj_id=oai_doaj_org_article_611bdd5d316d422c9d6493a8d4314274&rfr_iscdi=true |