Screening of susceptibility genes and multi-gene risk analysis in gastric cancer
The aim of the study was to explore the relations between the genetic polymorphism and the susceptibility to the gastric cancer in Chinese Han population, and to analyze the multi-genes risk in the development of gastric carcinoma. A case–control study of 1:1 matching was performed on 564 individual...
Gespeichert in:
| Veröffentlicht in: | Medical oncology (Northwood, London, England) London, England), 2014-10, Vol.31 (10), p.196, Article 196 |
|---|---|
| Hauptverfasser: | , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | |
|---|---|
| container_issue | 10 |
| container_start_page | 196 |
| container_title | Medical oncology (Northwood, London, England) |
| container_volume | 31 |
| creator | Shen, Xiao-bing Wang, Jia Li, Peng-fei Ren, Xiao-feng Yan, Xiao-luan Wang, Fan |
| description | The aim of the study was to explore the relations between the genetic polymorphism and the susceptibility to the gastric cancer in Chinese Han population, and to analyze the multi-genes risk in the development of gastric carcinoma. A case–control study of 1:1 matching was performed on 564 individuals with primary gastric carcinoma in Nanjing, China. The genotypes of
CYP2E1
,
GSTMl
,
GSTTl
,
NAT2
,
ALDH2
,
MTHFR
,
XRCCl
,
IL
-
1β
,
VDR
, and
TNF
were detected by molecular biological techniques (PCR-RFLP and AS-PCR). Sole gene and gene–gene interactions were analyzed using Logistic regression model. The effect of multi-genes on gastric carcinoma was analyzed using multi-gene risk analysis model, which focused on the effect of multi-gene interaction on the development of gastric carcinoma. The genotypes involved in the susceptibility of gastric carcinoma were
CYP2E1
(
c1/c1
),
NAT2M1
(
T/T
),
NAT2M2
(
A/A
),
XRCC1194
(
T/T
),
NAT2 phenotype
(slow acetylator),
MTHFR1298
(
A/C
), and
VDR TaqI
(
T/T
), respectively. Multi-gene risk analysis model was introduced to analyze the effect of these genes on the gastric carcinoma. The results showed that there was a strong relation between odds ratio (OR) value of polygene combination and the gene frequency. With the increase of susceptibility gene frequency, the risk distribution curve of gastric carcinoma would shift to a more dangerous phase and exhibit a quantitative relation. Our results demonstrated that the OR of each gene can be utilized as an index to assess the effect of multiple susceptible genes on the occurrence of gastric carcinoma. |
| doi_str_mv | 10.1007/s12032-014-0196-0 |
| format | Article |
| fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_1566591153</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>3447884721</sourcerecordid><originalsourceid>FETCH-LOGICAL-c442t-5bd5b3837de6f8e6657250e05ce9ca2de24db33c1fd666435a3ffed3aaafd6683</originalsourceid><addsrcrecordid>eNp1kEtLxDAUhYMojo7-ADcScB3No0mnSxl8wYCCCu5CmtyWjJ12TNrF_HtTOoobF5fce3POSfgQumD0mlGa30TGqeCEsixVoQg9QCdMyoIwwT4OUy9kTqhUdIZOY1xTypnkxTGacckzSRk7QS-vNgC0vq1xV-E4RAvb3pe-8f0O19BCxKZ1eDM0vSfjjIOPn2lnml30EfsW1yb2wVtsTWshnKGjyjQRzvfnHL3f370tH8nq-eFpebsiNst4T2TpZCkWInegqgUoJXMuKVBpobCGO-CZK4WwrHJKqUxII6oKnDDGjJuFmKOrKXcbuq8BYq_X3RDSt6JmMsUVjEmRVGxS2dDFGKDS2-A3Juw0o3pkqCeGOjHUI0NNk-dynzyUG3C_jh9oScAnQUxXbQ3hz9P_pn4D_jh84A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1566591153</pqid></control><display><type>article</type><title>Screening of susceptibility genes and multi-gene risk analysis in gastric cancer</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Shen, Xiao-bing ; Wang, Jia ; Li, Peng-fei ; Ren, Xiao-feng ; Yan, Xiao-luan ; Wang, Fan</creator><creatorcontrib>Shen, Xiao-bing ; Wang, Jia ; Li, Peng-fei ; Ren, Xiao-feng ; Yan, Xiao-luan ; Wang, Fan</creatorcontrib><description>The aim of the study was to explore the relations between the genetic polymorphism and the susceptibility to the gastric cancer in Chinese Han population, and to analyze the multi-genes risk in the development of gastric carcinoma. A case–control study of 1:1 matching was performed on 564 individuals with primary gastric carcinoma in Nanjing, China. The genotypes of
CYP2E1
,
GSTMl
,
GSTTl
,
NAT2
,
ALDH2
,
MTHFR
,
XRCCl
,
IL
-
1β
,
VDR
, and
TNF
were detected by molecular biological techniques (PCR-RFLP and AS-PCR). Sole gene and gene–gene interactions were analyzed using Logistic regression model. The effect of multi-genes on gastric carcinoma was analyzed using multi-gene risk analysis model, which focused on the effect of multi-gene interaction on the development of gastric carcinoma. The genotypes involved in the susceptibility of gastric carcinoma were
CYP2E1
(
c1/c1
),
NAT2M1
(
T/T
),
NAT2M2
(
A/A
),
XRCC1194
(
T/T
),
NAT2 phenotype
(slow acetylator),
MTHFR1298
(
A/C
), and
VDR TaqI
(
T/T
), respectively. Multi-gene risk analysis model was introduced to analyze the effect of these genes on the gastric carcinoma. The results showed that there was a strong relation between odds ratio (OR) value of polygene combination and the gene frequency. With the increase of susceptibility gene frequency, the risk distribution curve of gastric carcinoma would shift to a more dangerous phase and exhibit a quantitative relation. Our results demonstrated that the OR of each gene can be utilized as an index to assess the effect of multiple susceptible genes on the occurrence of gastric carcinoma.</description><identifier>ISSN: 1357-0560</identifier><identifier>EISSN: 1559-131X</identifier><identifier>DOI: 10.1007/s12032-014-0196-0</identifier><identifier>PMID: 25245011</identifier><identifier>CODEN: MONCEZ</identifier><language>eng</language><publisher>Boston: Springer US</publisher><subject>Adolescent ; Adult ; Aged ; Aged, 80 and over ; Aldehyde Dehydrogenase - genetics ; Aldehyde Dehydrogenase, Mitochondrial ; Arylamine N-Acetyltransferase - genetics ; Case-Control Studies ; China ; Cytochrome P-450 CYP2E1 - genetics ; DNA-Binding Proteins - genetics ; Early Detection of Cancer - methods ; Female ; Genetic Predisposition to Disease ; Genotype ; Glutathione Transferase - genetics ; Hematology ; Humans ; Interleukin-1beta - genetics ; Internal Medicine ; Logistic Models ; Male ; Medicine ; Medicine & Public Health ; Methylenetetrahydrofolate Reductase (NADPH2) - genetics ; Middle Aged ; Neoplasm Proteins - genetics ; Odds Ratio ; Oncology ; Original Paper ; Pathology ; Polymorphism, Genetic ; Polymorphism, Restriction Fragment Length ; Receptors, Calcitriol - genetics ; Risk Factors ; Stomach Neoplasms - genetics ; Tumor Necrosis Factor-alpha - genetics ; X-ray Repair Cross Complementing Protein 1 ; Young Adult</subject><ispartof>Medical oncology (Northwood, London, England), 2014-10, Vol.31 (10), p.196, Article 196</ispartof><rights>Springer Science+Business Media New York 2014</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c442t-5bd5b3837de6f8e6657250e05ce9ca2de24db33c1fd666435a3ffed3aaafd6683</citedby><cites>FETCH-LOGICAL-c442t-5bd5b3837de6f8e6657250e05ce9ca2de24db33c1fd666435a3ffed3aaafd6683</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12032-014-0196-0$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12032-014-0196-0$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>315,781,785,27929,27930,41493,42562,51324</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25245011$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Shen, Xiao-bing</creatorcontrib><creatorcontrib>Wang, Jia</creatorcontrib><creatorcontrib>Li, Peng-fei</creatorcontrib><creatorcontrib>Ren, Xiao-feng</creatorcontrib><creatorcontrib>Yan, Xiao-luan</creatorcontrib><creatorcontrib>Wang, Fan</creatorcontrib><title>Screening of susceptibility genes and multi-gene risk analysis in gastric cancer</title><title>Medical oncology (Northwood, London, England)</title><addtitle>Med Oncol</addtitle><addtitle>Med Oncol</addtitle><description>The aim of the study was to explore the relations between the genetic polymorphism and the susceptibility to the gastric cancer in Chinese Han population, and to analyze the multi-genes risk in the development of gastric carcinoma. A case–control study of 1:1 matching was performed on 564 individuals with primary gastric carcinoma in Nanjing, China. The genotypes of
CYP2E1
,
GSTMl
,
GSTTl
,
NAT2
,
ALDH2
,
MTHFR
,
XRCCl
,
IL
-
1β
,
VDR
, and
TNF
were detected by molecular biological techniques (PCR-RFLP and AS-PCR). Sole gene and gene–gene interactions were analyzed using Logistic regression model. The effect of multi-genes on gastric carcinoma was analyzed using multi-gene risk analysis model, which focused on the effect of multi-gene interaction on the development of gastric carcinoma. The genotypes involved in the susceptibility of gastric carcinoma were
CYP2E1
(
c1/c1
),
NAT2M1
(
T/T
),
NAT2M2
(
A/A
),
XRCC1194
(
T/T
),
NAT2 phenotype
(slow acetylator),
MTHFR1298
(
A/C
), and
VDR TaqI
(
T/T
), respectively. Multi-gene risk analysis model was introduced to analyze the effect of these genes on the gastric carcinoma. The results showed that there was a strong relation between odds ratio (OR) value of polygene combination and the gene frequency. With the increase of susceptibility gene frequency, the risk distribution curve of gastric carcinoma would shift to a more dangerous phase and exhibit a quantitative relation. Our results demonstrated that the OR of each gene can be utilized as an index to assess the effect of multiple susceptible genes on the occurrence of gastric carcinoma.</description><subject>Adolescent</subject><subject>Adult</subject><subject>Aged</subject><subject>Aged, 80 and over</subject><subject>Aldehyde Dehydrogenase - genetics</subject><subject>Aldehyde Dehydrogenase, Mitochondrial</subject><subject>Arylamine N-Acetyltransferase - genetics</subject><subject>Case-Control Studies</subject><subject>China</subject><subject>Cytochrome P-450 CYP2E1 - genetics</subject><subject>DNA-Binding Proteins - genetics</subject><subject>Early Detection of Cancer - methods</subject><subject>Female</subject><subject>Genetic Predisposition to Disease</subject><subject>Genotype</subject><subject>Glutathione Transferase - genetics</subject><subject>Hematology</subject><subject>Humans</subject><subject>Interleukin-1beta - genetics</subject><subject>Internal Medicine</subject><subject>Logistic Models</subject><subject>Male</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Methylenetetrahydrofolate Reductase (NADPH2) - genetics</subject><subject>Middle Aged</subject><subject>Neoplasm Proteins - genetics</subject><subject>Odds Ratio</subject><subject>Oncology</subject><subject>Original Paper</subject><subject>Pathology</subject><subject>Polymorphism, Genetic</subject><subject>Polymorphism, Restriction Fragment Length</subject><subject>Receptors, Calcitriol - genetics</subject><subject>Risk Factors</subject><subject>Stomach Neoplasms - genetics</subject><subject>Tumor Necrosis Factor-alpha - genetics</subject><subject>X-ray Repair Cross Complementing Protein 1</subject><subject>Young Adult</subject><issn>1357-0560</issn><issn>1559-131X</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2014</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><recordid>eNp1kEtLxDAUhYMojo7-ADcScB3No0mnSxl8wYCCCu5CmtyWjJ12TNrF_HtTOoobF5fce3POSfgQumD0mlGa30TGqeCEsixVoQg9QCdMyoIwwT4OUy9kTqhUdIZOY1xTypnkxTGacckzSRk7QS-vNgC0vq1xV-E4RAvb3pe-8f0O19BCxKZ1eDM0vSfjjIOPn2lnml30EfsW1yb2wVtsTWshnKGjyjQRzvfnHL3f370tH8nq-eFpebsiNst4T2TpZCkWInegqgUoJXMuKVBpobCGO-CZK4WwrHJKqUxII6oKnDDGjJuFmKOrKXcbuq8BYq_X3RDSt6JmMsUVjEmRVGxS2dDFGKDS2-A3Juw0o3pkqCeGOjHUI0NNk-dynzyUG3C_jh9oScAnQUxXbQ3hz9P_pn4D_jh84A</recordid><startdate>20141001</startdate><enddate>20141001</enddate><creator>Shen, Xiao-bing</creator><creator>Wang, Jia</creator><creator>Li, Peng-fei</creator><creator>Ren, Xiao-feng</creator><creator>Yan, Xiao-luan</creator><creator>Wang, Fan</creator><general>Springer US</general><general>Springer Nature B.V</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>88E</scope><scope>8AO</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>BENPR</scope><scope>CCPQU</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>K9.</scope><scope>M0S</scope><scope>M1P</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20141001</creationdate><title>Screening of susceptibility genes and multi-gene risk analysis in gastric cancer</title><author>Shen, Xiao-bing ; Wang, Jia ; Li, Peng-fei ; Ren, Xiao-feng ; Yan, Xiao-luan ; Wang, Fan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c442t-5bd5b3837de6f8e6657250e05ce9ca2de24db33c1fd666435a3ffed3aaafd6683</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Adolescent</topic><topic>Adult</topic><topic>Aged</topic><topic>Aged, 80 and over</topic><topic>Aldehyde Dehydrogenase - genetics</topic><topic>Aldehyde Dehydrogenase, Mitochondrial</topic><topic>Arylamine N-Acetyltransferase - genetics</topic><topic>Case-Control Studies</topic><topic>China</topic><topic>Cytochrome P-450 CYP2E1 - genetics</topic><topic>DNA-Binding Proteins - genetics</topic><topic>Early Detection of Cancer - methods</topic><topic>Female</topic><topic>Genetic Predisposition to Disease</topic><topic>Genotype</topic><topic>Glutathione Transferase - genetics</topic><topic>Hematology</topic><topic>Humans</topic><topic>Interleukin-1beta - genetics</topic><topic>Internal Medicine</topic><topic>Logistic Models</topic><topic>Male</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Methylenetetrahydrofolate Reductase (NADPH2) - genetics</topic><topic>Middle Aged</topic><topic>Neoplasm Proteins - genetics</topic><topic>Odds Ratio</topic><topic>Oncology</topic><topic>Original Paper</topic><topic>Pathology</topic><topic>Polymorphism, Genetic</topic><topic>Polymorphism, Restriction Fragment Length</topic><topic>Receptors, Calcitriol - genetics</topic><topic>Risk Factors</topic><topic>Stomach Neoplasms - genetics</topic><topic>Tumor Necrosis Factor-alpha - genetics</topic><topic>X-ray Repair Cross Complementing Protein 1</topic><topic>Young Adult</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Shen, Xiao-bing</creatorcontrib><creatorcontrib>Wang, Jia</creatorcontrib><creatorcontrib>Li, Peng-fei</creatorcontrib><creatorcontrib>Ren, Xiao-feng</creatorcontrib><creatorcontrib>Yan, Xiao-luan</creatorcontrib><creatorcontrib>Wang, Fan</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>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</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</collection><collection>ProQuest One Community College</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>Medical 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><jtitle>Medical oncology (Northwood, London, England)</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Shen, Xiao-bing</au><au>Wang, Jia</au><au>Li, Peng-fei</au><au>Ren, Xiao-feng</au><au>Yan, Xiao-luan</au><au>Wang, Fan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Screening of susceptibility genes and multi-gene risk analysis in gastric cancer</atitle><jtitle>Medical oncology (Northwood, London, England)</jtitle><stitle>Med Oncol</stitle><addtitle>Med Oncol</addtitle><date>2014-10-01</date><risdate>2014</risdate><volume>31</volume><issue>10</issue><spage>196</spage><pages>196-</pages><artnum>196</artnum><issn>1357-0560</issn><eissn>1559-131X</eissn><coden>MONCEZ</coden><abstract>The aim of the study was to explore the relations between the genetic polymorphism and the susceptibility to the gastric cancer in Chinese Han population, and to analyze the multi-genes risk in the development of gastric carcinoma. A case–control study of 1:1 matching was performed on 564 individuals with primary gastric carcinoma in Nanjing, China. The genotypes of
CYP2E1
,
GSTMl
,
GSTTl
,
NAT2
,
ALDH2
,
MTHFR
,
XRCCl
,
IL
-
1β
,
VDR
, and
TNF
were detected by molecular biological techniques (PCR-RFLP and AS-PCR). Sole gene and gene–gene interactions were analyzed using Logistic regression model. The effect of multi-genes on gastric carcinoma was analyzed using multi-gene risk analysis model, which focused on the effect of multi-gene interaction on the development of gastric carcinoma. The genotypes involved in the susceptibility of gastric carcinoma were
CYP2E1
(
c1/c1
),
NAT2M1
(
T/T
),
NAT2M2
(
A/A
),
XRCC1194
(
T/T
),
NAT2 phenotype
(slow acetylator),
MTHFR1298
(
A/C
), and
VDR TaqI
(
T/T
), respectively. Multi-gene risk analysis model was introduced to analyze the effect of these genes on the gastric carcinoma. The results showed that there was a strong relation between odds ratio (OR) value of polygene combination and the gene frequency. With the increase of susceptibility gene frequency, the risk distribution curve of gastric carcinoma would shift to a more dangerous phase and exhibit a quantitative relation. Our results demonstrated that the OR of each gene can be utilized as an index to assess the effect of multiple susceptible genes on the occurrence of gastric carcinoma.</abstract><cop>Boston</cop><pub>Springer US</pub><pmid>25245011</pmid><doi>10.1007/s12032-014-0196-0</doi></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1357-0560 |
| ispartof | Medical oncology (Northwood, London, England), 2014-10, Vol.31 (10), p.196, Article 196 |
| issn | 1357-0560 1559-131X |
| language | eng |
| recordid | cdi_proquest_journals_1566591153 |
| source | MEDLINE; SpringerLink Journals - AutoHoldings |
| subjects | Adolescent Adult Aged Aged, 80 and over Aldehyde Dehydrogenase - genetics Aldehyde Dehydrogenase, Mitochondrial Arylamine N-Acetyltransferase - genetics Case-Control Studies China Cytochrome P-450 CYP2E1 - genetics DNA-Binding Proteins - genetics Early Detection of Cancer - methods Female Genetic Predisposition to Disease Genotype Glutathione Transferase - genetics Hematology Humans Interleukin-1beta - genetics Internal Medicine Logistic Models Male Medicine Medicine & Public Health Methylenetetrahydrofolate Reductase (NADPH2) - genetics Middle Aged Neoplasm Proteins - genetics Odds Ratio Oncology Original Paper Pathology Polymorphism, Genetic Polymorphism, Restriction Fragment Length Receptors, Calcitriol - genetics Risk Factors Stomach Neoplasms - genetics Tumor Necrosis Factor-alpha - genetics X-ray Repair Cross Complementing Protein 1 Young Adult |
| title | Screening of susceptibility genes and multi-gene risk analysis in gastric cancer |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-11T10%3A04%3A21IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Screening%20of%20susceptibility%20genes%20and%20multi-gene%20risk%20analysis%20in%20gastric%20cancer&rft.jtitle=Medical%20oncology%20(Northwood,%20London,%20England)&rft.au=Shen,%20Xiao-bing&rft.date=2014-10-01&rft.volume=31&rft.issue=10&rft.spage=196&rft.pages=196-&rft.artnum=196&rft.issn=1357-0560&rft.eissn=1559-131X&rft.coden=MONCEZ&rft_id=info:doi/10.1007/s12032-014-0196-0&rft_dat=%3Cproquest_cross%3E3447884721%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1566591153&rft_id=info:pmid/25245011&rfr_iscdi=true |