Oral microbiome and risk of malignant esophageal lesions in a high-risk area of China: A nested case-control study
We aimed to prospectively evaluate the association of oral microbiome with malignant esophageal lesions and its predictive potential as a biomarker of risk. We conducted a case-control study nested within a population-based cohort with up to 8 visits of oral swab collection for each subject over an...
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| Veröffentlicht in: | Chinese journal of cancer research 2020-12, Vol.32 (6), p.742-754 |
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| creator | Liu, Fangfang Liu, Mengfei Liu, Ying Guo, Chuanhai Zhou, Yunlai Li, Fenglei Xu, Ruiping Liu, Zhen Deng, Qiuju Li, Xiang Zhang, Chaoting Pan, Yaqi Ning, Tao Dong, Xiao Hu, Zhe Bao, Huanyu Cai, Hong Silva, Isabel Dos Santos He, Zhonghu Ke, Yang |
| description | We aimed to prospectively evaluate the association of oral microbiome with malignant esophageal lesions and its predictive potential as a biomarker of risk.
We conducted a case-control study nested within a population-based cohort with up to 8 visits of oral swab collection for each subject over an 11-year period in a high-risk area for esophageal cancer in China. The oral microbiome was evaluated with 16S ribosomal RNA (rRNA) gene sequencing in 428 pre-diagnostic oral specimens from 84 cases with esophageal lesions of severe squamous dysplasia and above (SDA) and 168 matched healthy controls. DESeq analysis was performed to identify taxa of differential abundance. Differential oral species together with subject characteristics were evaluated for their potential in predicting SDA risk by constructing conditional logistic regression models.
A total of 125 taxa including 37 named species showed significantly different abundance between SDA cases and controls (all P |
| doi_str_mv | 10.21147/j.issn.1000-9604.2020.06.07 |
| format | Article |
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We conducted a case-control study nested within a population-based cohort with up to 8 visits of oral swab collection for each subject over an 11-year period in a high-risk area for esophageal cancer in China. The oral microbiome was evaluated with 16S ribosomal RNA (rRNA) gene sequencing in 428 pre-diagnostic oral specimens from 84 cases with esophageal lesions of severe squamous dysplasia and above (SDA) and 168 matched healthy controls. DESeq analysis was performed to identify taxa of differential abundance. Differential oral species together with subject characteristics were evaluated for their potential in predicting SDA risk by constructing conditional logistic regression models.
A total of 125 taxa including 37 named species showed significantly different abundance between SDA cases and controls (all P<0.05 & false discovery rate-adjusted Q<0.10). A multivariate logistic model including 11 SDA lesion-related species and family history of esophageal cancer provided an area under the receiver operating characteristic curve (AUC) of 0.89 (95% CI, 0.84-0.93). Cross-validation and sensitivity analysis, excluding cases diagnosed within 1 year of collection of the baseline specimen and their matched controls, or restriction to screen-endoscopic-detected or clinically diagnosed case-control triads, or using only bacterial data measured at the baseline, yielded AUCs>0.84.
The oral microbiome may play an etiological and predictive role in esophageal cancer, and it holds promise as a non-invasive early warning biomarker for risk stratification for esophageal cancer screening programs.</description><identifier>ISSN: 1000-9604</identifier><identifier>EISSN: 1993-0631</identifier><identifier>DOI: 10.21147/j.issn.1000-9604.2020.06.07</identifier><identifier>PMID: 33446997</identifier><language>eng</language><publisher>China: Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China%Novogene Co., Ltd, Beijing 100080, China%Hua County People's Hospital, Anyang 456400, China%Anyang Cancer Hospital, Anyang 455000, China%Department of Non-communicable Disease Epidemiology, London School of Hygiene &Tropical Medicine, London WC1E 7HT, UK</publisher><subject>Original</subject><ispartof>Chinese journal of cancer research, 2020-12, Vol.32 (6), p.742-754</ispartof><rights>Copyright © 2020 Chinese Journal of Cancer Research. All rights reserved.</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><rights>Copyright © 2020 Chinese Journal of Cancer Research. All rights reserved. 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-1cb18638ad6775223f07dddf122d07ffedf36acac0a7bb7266931cbc962d75f73</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/zgazyj/zgazyj.jpg</thumbnail><linktopdf>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797237/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7797237/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,727,780,784,885,27924,27925,53791,53793</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/33446997$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Liu, Fangfang</creatorcontrib><creatorcontrib>Liu, Mengfei</creatorcontrib><creatorcontrib>Liu, Ying</creatorcontrib><creatorcontrib>Guo, Chuanhai</creatorcontrib><creatorcontrib>Zhou, Yunlai</creatorcontrib><creatorcontrib>Li, Fenglei</creatorcontrib><creatorcontrib>Xu, Ruiping</creatorcontrib><creatorcontrib>Liu, Zhen</creatorcontrib><creatorcontrib>Deng, Qiuju</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Zhang, Chaoting</creatorcontrib><creatorcontrib>Pan, Yaqi</creatorcontrib><creatorcontrib>Ning, Tao</creatorcontrib><creatorcontrib>Dong, Xiao</creatorcontrib><creatorcontrib>Hu, Zhe</creatorcontrib><creatorcontrib>Bao, Huanyu</creatorcontrib><creatorcontrib>Cai, Hong</creatorcontrib><creatorcontrib>Silva, Isabel Dos Santos</creatorcontrib><creatorcontrib>He, Zhonghu</creatorcontrib><creatorcontrib>Ke, Yang</creatorcontrib><creatorcontrib>Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK</creatorcontrib><creatorcontrib>Anyang Cancer Hospital, Anyang 455000, China</creatorcontrib><creatorcontrib>Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China</creatorcontrib><creatorcontrib>Novogene Co., Ltd, Beijing 100080, China</creatorcontrib><creatorcontrib>Hua County People’s Hospital, Anyang 456400, China</creatorcontrib><title>Oral microbiome and risk of malignant esophageal lesions in a high-risk area of China: A nested case-control study</title><title>Chinese journal of cancer research</title><addtitle>Chin J Cancer Res</addtitle><description>We aimed to prospectively evaluate the association of oral microbiome with malignant esophageal lesions and its predictive potential as a biomarker of risk.
We conducted a case-control study nested within a population-based cohort with up to 8 visits of oral swab collection for each subject over an 11-year period in a high-risk area for esophageal cancer in China. The oral microbiome was evaluated with 16S ribosomal RNA (rRNA) gene sequencing in 428 pre-diagnostic oral specimens from 84 cases with esophageal lesions of severe squamous dysplasia and above (SDA) and 168 matched healthy controls. DESeq analysis was performed to identify taxa of differential abundance. Differential oral species together with subject characteristics were evaluated for their potential in predicting SDA risk by constructing conditional logistic regression models.
A total of 125 taxa including 37 named species showed significantly different abundance between SDA cases and controls (all P<0.05 & false discovery rate-adjusted Q<0.10). A multivariate logistic model including 11 SDA lesion-related species and family history of esophageal cancer provided an area under the receiver operating characteristic curve (AUC) of 0.89 (95% CI, 0.84-0.93). Cross-validation and sensitivity analysis, excluding cases diagnosed within 1 year of collection of the baseline specimen and their matched controls, or restriction to screen-endoscopic-detected or clinically diagnosed case-control triads, or using only bacterial data measured at the baseline, yielded AUCs>0.84.
The oral microbiome may play an etiological and predictive role in esophageal cancer, and it holds promise as a non-invasive early warning biomarker for risk stratification for esophageal cancer screening programs.</description><subject>Original</subject><issn>1000-9604</issn><issn>1993-0631</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpVkU9r3DAQxU1padKkX6HoUOjJ7kjySlEphbD0HwRyac5ibEm2XFtaJG_L5tPH3m1CetKAfu_NY15RvKdQMUpr-XGofM6hogBQKgF1xYBBBaIC-aI4p0rxEgSnL5f5ETkr3uQ8AGzkBujr4ozzuhZKyfMi3SYcyeTbFBsfJ0swGJJ8_k2iIxOOvgsYZmJz3PXY2YUdbfYxZOIDQdL7ri-POCaLq2bb-4CfyDUJNs_WkBazLdsY5hRHkue9OVwWrxyO2b79914Ud9--_tr-KG9uv__cXt-ULVf1XNK2oVeCX6ERUm4Y4w6kMcZRxgxI56xxXGCLLaBsGsmEUHzRtEowIzdO8oviy8l3t28ma1q7ZMBR75KfMB10RK___wm-1138o6VUkvHV4MPJ4C8Gh6HTQ9ynsETW9x3eH4b17iAAVvLziVzOmHOy7mkLBX1sTQ96bU2vlei1Er2qNQh9lL97nvRJ_FgTfwBIfpgd</recordid><startdate>20201231</startdate><enddate>20201231</enddate><creator>Liu, Fangfang</creator><creator>Liu, Mengfei</creator><creator>Liu, Ying</creator><creator>Guo, Chuanhai</creator><creator>Zhou, Yunlai</creator><creator>Li, Fenglei</creator><creator>Xu, Ruiping</creator><creator>Liu, Zhen</creator><creator>Deng, Qiuju</creator><creator>Li, Xiang</creator><creator>Zhang, Chaoting</creator><creator>Pan, Yaqi</creator><creator>Ning, Tao</creator><creator>Dong, Xiao</creator><creator>Hu, Zhe</creator><creator>Bao, Huanyu</creator><creator>Cai, Hong</creator><creator>Silva, Isabel Dos Santos</creator><creator>He, Zhonghu</creator><creator>Ke, Yang</creator><general>Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China%Novogene Co., Ltd, Beijing 100080, China%Hua County People's Hospital, Anyang 456400, China%Anyang Cancer Hospital, Anyang 455000, China%Department of Non-communicable Disease Epidemiology, London School of Hygiene &Tropical Medicine, London WC1E 7HT, UK</general><general>AME Publishing Company</general><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope><scope>5PM</scope></search><sort><creationdate>20201231</creationdate><title>Oral microbiome and risk of malignant esophageal lesions in a high-risk area of China: A nested case-control study</title><author>Liu, Fangfang ; Liu, Mengfei ; Liu, Ying ; Guo, Chuanhai ; Zhou, Yunlai ; Li, Fenglei ; Xu, Ruiping ; Liu, Zhen ; Deng, Qiuju ; Li, Xiang ; Zhang, Chaoting ; Pan, Yaqi ; Ning, Tao ; Dong, Xiao ; Hu, Zhe ; Bao, Huanyu ; Cai, Hong ; Silva, Isabel Dos Santos ; He, Zhonghu ; Ke, Yang</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c394t-1cb18638ad6775223f07dddf122d07ffedf36acac0a7bb7266931cbc962d75f73</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Original</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Fangfang</creatorcontrib><creatorcontrib>Liu, Mengfei</creatorcontrib><creatorcontrib>Liu, Ying</creatorcontrib><creatorcontrib>Guo, Chuanhai</creatorcontrib><creatorcontrib>Zhou, Yunlai</creatorcontrib><creatorcontrib>Li, Fenglei</creatorcontrib><creatorcontrib>Xu, Ruiping</creatorcontrib><creatorcontrib>Liu, Zhen</creatorcontrib><creatorcontrib>Deng, Qiuju</creatorcontrib><creatorcontrib>Li, Xiang</creatorcontrib><creatorcontrib>Zhang, Chaoting</creatorcontrib><creatorcontrib>Pan, Yaqi</creatorcontrib><creatorcontrib>Ning, Tao</creatorcontrib><creatorcontrib>Dong, Xiao</creatorcontrib><creatorcontrib>Hu, Zhe</creatorcontrib><creatorcontrib>Bao, Huanyu</creatorcontrib><creatorcontrib>Cai, Hong</creatorcontrib><creatorcontrib>Silva, Isabel Dos Santos</creatorcontrib><creatorcontrib>He, Zhonghu</creatorcontrib><creatorcontrib>Ke, Yang</creatorcontrib><creatorcontrib>Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK</creatorcontrib><creatorcontrib>Anyang Cancer Hospital, Anyang 455000, China</creatorcontrib><creatorcontrib>Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China</creatorcontrib><creatorcontrib>Novogene Co., Ltd, Beijing 100080, China</creatorcontrib><creatorcontrib>Hua County People’s Hospital, Anyang 456400, China</creatorcontrib><collection>PubMed</collection><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><collection>PubMed Central (Full Participant titles)</collection><jtitle>Chinese journal of cancer research</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Fangfang</au><au>Liu, Mengfei</au><au>Liu, Ying</au><au>Guo, Chuanhai</au><au>Zhou, Yunlai</au><au>Li, Fenglei</au><au>Xu, Ruiping</au><au>Liu, Zhen</au><au>Deng, Qiuju</au><au>Li, Xiang</au><au>Zhang, Chaoting</au><au>Pan, Yaqi</au><au>Ning, Tao</au><au>Dong, Xiao</au><au>Hu, Zhe</au><au>Bao, Huanyu</au><au>Cai, Hong</au><au>Silva, Isabel Dos Santos</au><au>He, Zhonghu</au><au>Ke, Yang</au><aucorp>Department of Non-communicable Disease Epidemiology, London School of Hygiene & Tropical Medicine, London WC1E 7HT, UK</aucorp><aucorp>Anyang Cancer Hospital, Anyang 455000, China</aucorp><aucorp>Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China</aucorp><aucorp>Novogene Co., Ltd, Beijing 100080, China</aucorp><aucorp>Hua County People’s Hospital, Anyang 456400, China</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Oral microbiome and risk of malignant esophageal lesions in a high-risk area of China: A nested case-control study</atitle><jtitle>Chinese journal of cancer research</jtitle><addtitle>Chin J Cancer Res</addtitle><date>2020-12-31</date><risdate>2020</risdate><volume>32</volume><issue>6</issue><spage>742</spage><epage>754</epage><pages>742-754</pages><issn>1000-9604</issn><eissn>1993-0631</eissn><abstract>We aimed to prospectively evaluate the association of oral microbiome with malignant esophageal lesions and its predictive potential as a biomarker of risk.
We conducted a case-control study nested within a population-based cohort with up to 8 visits of oral swab collection for each subject over an 11-year period in a high-risk area for esophageal cancer in China. The oral microbiome was evaluated with 16S ribosomal RNA (rRNA) gene sequencing in 428 pre-diagnostic oral specimens from 84 cases with esophageal lesions of severe squamous dysplasia and above (SDA) and 168 matched healthy controls. DESeq analysis was performed to identify taxa of differential abundance. Differential oral species together with subject characteristics were evaluated for their potential in predicting SDA risk by constructing conditional logistic regression models.
A total of 125 taxa including 37 named species showed significantly different abundance between SDA cases and controls (all P<0.05 & false discovery rate-adjusted Q<0.10). A multivariate logistic model including 11 SDA lesion-related species and family history of esophageal cancer provided an area under the receiver operating characteristic curve (AUC) of 0.89 (95% CI, 0.84-0.93). Cross-validation and sensitivity analysis, excluding cases diagnosed within 1 year of collection of the baseline specimen and their matched controls, or restriction to screen-endoscopic-detected or clinically diagnosed case-control triads, or using only bacterial data measured at the baseline, yielded AUCs>0.84.
The oral microbiome may play an etiological and predictive role in esophageal cancer, and it holds promise as a non-invasive early warning biomarker for risk stratification for esophageal cancer screening programs.</abstract><cop>China</cop><pub>Key Laboratory of Carcinogenesis and Translational Research (Ministry of Education/Beijing), Laboratory of Genetics, Peking University Cancer Hospital & Institute, Beijing 100142, China%Novogene Co., Ltd, Beijing 100080, China%Hua County People's Hospital, Anyang 456400, China%Anyang Cancer Hospital, Anyang 455000, China%Department of Non-communicable Disease Epidemiology, London School of Hygiene &Tropical Medicine, London WC1E 7HT, UK</pub><pmid>33446997</pmid><doi>10.21147/j.issn.1000-9604.2020.06.07</doi><tpages>13</tpages><oa>free_for_read</oa></addata></record> |
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| language | eng |
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| source | EZB-FREE-00999 freely available EZB journals; PubMed Central |
| subjects | Original |
| title | Oral microbiome and risk of malignant esophageal lesions in a high-risk area of China: A nested case-control study |
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