Long-term anti-inflammatory diet in relation to improved breast cancer prognosis: a prospective cohort study
Inflammation-modulating nutrients and inflammatory markers are established cancer risk factors, however, evidence regarding the association between post-diagnosis diet-associated inflammation and breast cancer survival is relatively sparse. We aimed to examine the association between post-diagnosis...
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| Veröffentlicht in: | NPJ breast cancer 2020, Vol.6 (1), p.36-36, Article 36 |
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| creator | Wang, Kang Sun, Jia-Zheng Wu, Qian-Xue Li, Zhu-Yue Li, Da-Xue Xiong, Yong-Fu Zhong, Guo-Chao Shi, Yang Li, Qing Zheng, Jiali Shivappa, Nitin Hébert, James R. Foukakis, Theodoros Zhang, Xiang Li, Hong-Yuan Xiang, Ting-Xiu Ren, Guo-Sheng |
| description | Inflammation-modulating nutrients and inflammatory markers are established cancer risk factors, however, evidence regarding the association between post-diagnosis diet-associated inflammation and breast cancer survival is relatively sparse. We aimed to examine the association between post-diagnosis dietary inflammatory index (DII®) and risks of all-cause and breast cancer-specific mortality. A total of 1064 female breast cancer survivors in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening (PLCO) Trial prospective cohort, were included in this analysis if they had completed the diet history questionnaire (DHQ). Energy-adjusted DII (E-DII
TM
) scores were calculated based on food and supplement intake. Cox regression and competing risk models were used to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (95% CIs) by E-DII tertile (T) for all-cause and breast cancer-specific mortality. With median follow-up of 14.6 years, there were 296 (27.8%) deaths from all causes and 100 (9.4%) breast cancer-specific death. The E-DII was associated with all-cause mortality (HR T3 vs T1, 1.34; 95% CI, 1.01–1.81;
P
trend
, 0.049, Table
2
) and breast cancer mortality (HR T3 vs T1, 1.47; 95% CI, 0.89–2.43;
P
trend
, 0.13; multivariable-adjusted HR for 1-unit increment: 1.10; 95% CI: 1.00–1.22). Non-linear positive dose–response associations with mortality from all causes were identified for E-DII scores (
P
non-linearity
|
| doi_str_mv | 10.1038/s41523-020-00179-4 |
| format | Article |
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TM
) scores were calculated based on food and supplement intake. Cox regression and competing risk models were used to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (95% CIs) by E-DII tertile (T) for all-cause and breast cancer-specific mortality. With median follow-up of 14.6 years, there were 296 (27.8%) deaths from all causes and 100 (9.4%) breast cancer-specific death. The E-DII was associated with all-cause mortality (HR T3 vs T1, 1.34; 95% CI, 1.01–1.81;
P
trend
, 0.049, Table
2
) and breast cancer mortality (HR T3 vs T1, 1.47; 95% CI, 0.89–2.43;
P
trend
, 0.13; multivariable-adjusted HR for 1-unit increment: 1.10; 95% CI: 1.00–1.22). Non-linear positive dose–response associations with mortality from all causes were identified for E-DII scores (
P
non-linearity
< 0.05). The post-diagnosis E-DII was statistically significantly associated with mortality risk among breast cancer survivors. Long-term anti-inflammatory diet might be a means of improving survival of breast cancer survivors.</description><identifier>ISSN: 2374-4677</identifier><identifier>EISSN: 2374-4677</identifier><identifier>DOI: 10.1038/s41523-020-00179-4</identifier><identifier>PMID: 32821804</identifier><language>eng</language><publisher>London: Nature Publishing Group UK</publisher><subject>692/499 ; 692/699/67/1347 ; Biomedical and Life Sciences ; Biomedicine ; Breast cancer ; Cancer Research ; Cell Biology ; Cohort analysis ; Diet ; Human Genetics ; Medical prognosis ; Medical screening ; Mortality ; Oncology ; Ovarian cancer</subject><ispartof>NPJ breast cancer, 2020, Vol.6 (1), p.36-36, Article 36</ispartof><rights>The Author(s) 2020</rights><rights>The Author(s) 2020.</rights><rights>The Author(s) 2020. This work is published under http://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><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c540t-106a100f79f681b93d612320ddce3692ae67c5168edef1792732a9512a38f8a63</citedby><cites>FETCH-LOGICAL-c540t-106a100f79f681b93d612320ddce3692ae67c5168edef1792732a9512a38f8a63</cites><orcidid>0000-0002-6416-8967 ; 0000-0003-2512-7887 ; 0000-0001-5401-1803 ; 0000-0003-4589-0599 ; 0000-0003-1434-2856</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/PMC7426822/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC7426822/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,723,776,780,860,881,4010,27900,27901,27902,41096,42165,51551,53766,53768</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/32821804$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:144502490$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><creatorcontrib>Wang, Kang</creatorcontrib><creatorcontrib>Sun, Jia-Zheng</creatorcontrib><creatorcontrib>Wu, Qian-Xue</creatorcontrib><creatorcontrib>Li, Zhu-Yue</creatorcontrib><creatorcontrib>Li, Da-Xue</creatorcontrib><creatorcontrib>Xiong, Yong-Fu</creatorcontrib><creatorcontrib>Zhong, Guo-Chao</creatorcontrib><creatorcontrib>Shi, Yang</creatorcontrib><creatorcontrib>Li, Qing</creatorcontrib><creatorcontrib>Zheng, Jiali</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Hébert, James R.</creatorcontrib><creatorcontrib>Foukakis, Theodoros</creatorcontrib><creatorcontrib>Zhang, Xiang</creatorcontrib><creatorcontrib>Li, Hong-Yuan</creatorcontrib><creatorcontrib>Xiang, Ting-Xiu</creatorcontrib><creatorcontrib>Ren, Guo-Sheng</creatorcontrib><title>Long-term anti-inflammatory diet in relation to improved breast cancer prognosis: a prospective cohort study</title><title>NPJ breast cancer</title><addtitle>npj Breast Cancer</addtitle><addtitle>NPJ Breast Cancer</addtitle><description>Inflammation-modulating nutrients and inflammatory markers are established cancer risk factors, however, evidence regarding the association between post-diagnosis diet-associated inflammation and breast cancer survival is relatively sparse. We aimed to examine the association between post-diagnosis dietary inflammatory index (DII®) and risks of all-cause and breast cancer-specific mortality. A total of 1064 female breast cancer survivors in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening (PLCO) Trial prospective cohort, were included in this analysis if they had completed the diet history questionnaire (DHQ). Energy-adjusted DII (E-DII
TM
) scores were calculated based on food and supplement intake. Cox regression and competing risk models were used to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (95% CIs) by E-DII tertile (T) for all-cause and breast cancer-specific mortality. With median follow-up of 14.6 years, there were 296 (27.8%) deaths from all causes and 100 (9.4%) breast cancer-specific death. The E-DII was associated with all-cause mortality (HR T3 vs T1, 1.34; 95% CI, 1.01–1.81;
P
trend
, 0.049, Table
2
) and breast cancer mortality (HR T3 vs T1, 1.47; 95% CI, 0.89–2.43;
P
trend
, 0.13; multivariable-adjusted HR for 1-unit increment: 1.10; 95% CI: 1.00–1.22). Non-linear positive dose–response associations with mortality from all causes were identified for E-DII scores (
P
non-linearity
< 0.05). The post-diagnosis E-DII was statistically significantly associated with mortality risk among breast cancer survivors. Long-term anti-inflammatory diet might be a means of improving survival of breast cancer survivors.</description><subject>692/499</subject><subject>692/699/67/1347</subject><subject>Biomedical and Life Sciences</subject><subject>Biomedicine</subject><subject>Breast cancer</subject><subject>Cancer Research</subject><subject>Cell Biology</subject><subject>Cohort analysis</subject><subject>Diet</subject><subject>Human Genetics</subject><subject>Medical prognosis</subject><subject>Medical screening</subject><subject>Mortality</subject><subject>Oncology</subject><subject>Ovarian cancer</subject><issn>2374-4677</issn><issn>2374-4677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>C6C</sourceid><sourceid>BENPR</sourceid><sourceid>D8T</sourceid><recordid>eNp9kk1v1DAQhiMEolXpH-CALHHhYvBXbIcDEqr4klbiAmfLm0y2Lom92M6i_ffMsktpOfRke-aZGc-rt2mec_aaM2nfFMVbISkTjDLGTUfVo-ZcSKOo0sY8vnM_ay5LuWFIKW27lj9tzqSwglumzptpleKGVsgz8bEGGuI4-Xn2NeU9GQJUEiLJMPkaUiQ1kTBvc9rBQNYZfKmk97GHTDC4iamE8pb4w6Nsoa9hB6RP1ylXUuoy7J81T0Y_Fbg8nRfN948fvl19pquvn75cvV_RvlWsUs6054yNphu15etODpoLKdgw9CB1Jzxo07dcWxhgxNWFkcLjYsJLO1qv5UVDj33LL9gua7fNYfZ575IP7hT6gTdwKIjpLPLvjjxmZsApsWY_3Su7n4nh2m3SzhkltBUCG7w6Ncjp5wKlujmUHqbJR0hLcUJJLTvUXyL68j_0Ji05ohxIWWuMaJl9mJJSMymMQkocqR4FLxnG2y9z5g4ucUeXOHSJ--MSdyh6cXfZ25K_nkBAntTDVNxA_jf7gba_AT1DyNI</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Wang, Kang</creator><creator>Sun, Jia-Zheng</creator><creator>Wu, Qian-Xue</creator><creator>Li, Zhu-Yue</creator><creator>Li, Da-Xue</creator><creator>Xiong, Yong-Fu</creator><creator>Zhong, Guo-Chao</creator><creator>Shi, Yang</creator><creator>Li, Qing</creator><creator>Zheng, Jiali</creator><creator>Shivappa, Nitin</creator><creator>Hébert, James R.</creator><creator>Foukakis, Theodoros</creator><creator>Zhang, Xiang</creator><creator>Li, Hong-Yuan</creator><creator>Xiang, Ting-Xiu</creator><creator>Ren, Guo-Sheng</creator><general>Nature Publishing Group UK</general><general>Nature Publishing Group</general><scope>C6C</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><scope>ADTPV</scope><scope>AOWAS</scope><scope>D8T</scope><scope>ZZAVC</scope><orcidid>https://orcid.org/0000-0002-6416-8967</orcidid><orcidid>https://orcid.org/0000-0003-2512-7887</orcidid><orcidid>https://orcid.org/0000-0001-5401-1803</orcidid><orcidid>https://orcid.org/0000-0003-4589-0599</orcidid><orcidid>https://orcid.org/0000-0003-1434-2856</orcidid></search><sort><creationdate>2020</creationdate><title>Long-term anti-inflammatory diet in relation to improved breast cancer prognosis: a prospective cohort study</title><author>Wang, Kang ; Sun, Jia-Zheng ; Wu, Qian-Xue ; Li, Zhu-Yue ; Li, Da-Xue ; Xiong, Yong-Fu ; Zhong, Guo-Chao ; Shi, Yang ; Li, Qing ; Zheng, Jiali ; Shivappa, Nitin ; Hébert, James R. ; Foukakis, Theodoros ; Zhang, Xiang ; Li, Hong-Yuan ; Xiang, Ting-Xiu ; Ren, Guo-Sheng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c540t-106a100f79f681b93d612320ddce3692ae67c5168edef1792732a9512a38f8a63</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>692/499</topic><topic>692/699/67/1347</topic><topic>Biomedical and Life Sciences</topic><topic>Biomedicine</topic><topic>Breast cancer</topic><topic>Cancer Research</topic><topic>Cell Biology</topic><topic>Cohort analysis</topic><topic>Diet</topic><topic>Human Genetics</topic><topic>Medical prognosis</topic><topic>Medical screening</topic><topic>Mortality</topic><topic>Oncology</topic><topic>Ovarian cancer</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Kang</creatorcontrib><creatorcontrib>Sun, Jia-Zheng</creatorcontrib><creatorcontrib>Wu, Qian-Xue</creatorcontrib><creatorcontrib>Li, Zhu-Yue</creatorcontrib><creatorcontrib>Li, Da-Xue</creatorcontrib><creatorcontrib>Xiong, Yong-Fu</creatorcontrib><creatorcontrib>Zhong, Guo-Chao</creatorcontrib><creatorcontrib>Shi, Yang</creatorcontrib><creatorcontrib>Li, Qing</creatorcontrib><creatorcontrib>Zheng, Jiali</creatorcontrib><creatorcontrib>Shivappa, Nitin</creatorcontrib><creatorcontrib>Hébert, James R.</creatorcontrib><creatorcontrib>Foukakis, Theodoros</creatorcontrib><creatorcontrib>Zhang, Xiang</creatorcontrib><creatorcontrib>Li, Hong-Yuan</creatorcontrib><creatorcontrib>Xiang, Ting-Xiu</creatorcontrib><creatorcontrib>Ren, Guo-Sheng</creatorcontrib><collection>Springer Nature OA Free Journals</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><collection>SwePub</collection><collection>SwePub Articles</collection><collection>SWEPUB Freely available online</collection><collection>SwePub Articles full text</collection><jtitle>NPJ breast cancer</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Kang</au><au>Sun, Jia-Zheng</au><au>Wu, Qian-Xue</au><au>Li, Zhu-Yue</au><au>Li, Da-Xue</au><au>Xiong, Yong-Fu</au><au>Zhong, Guo-Chao</au><au>Shi, Yang</au><au>Li, Qing</au><au>Zheng, Jiali</au><au>Shivappa, Nitin</au><au>Hébert, James R.</au><au>Foukakis, Theodoros</au><au>Zhang, Xiang</au><au>Li, Hong-Yuan</au><au>Xiang, Ting-Xiu</au><au>Ren, Guo-Sheng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Long-term anti-inflammatory diet in relation to improved breast cancer prognosis: a prospective cohort study</atitle><jtitle>NPJ breast cancer</jtitle><stitle>npj Breast Cancer</stitle><addtitle>NPJ Breast Cancer</addtitle><date>2020</date><risdate>2020</risdate><volume>6</volume><issue>1</issue><spage>36</spage><epage>36</epage><pages>36-36</pages><artnum>36</artnum><issn>2374-4677</issn><eissn>2374-4677</eissn><abstract>Inflammation-modulating nutrients and inflammatory markers are established cancer risk factors, however, evidence regarding the association between post-diagnosis diet-associated inflammation and breast cancer survival is relatively sparse. We aimed to examine the association between post-diagnosis dietary inflammatory index (DII®) and risks of all-cause and breast cancer-specific mortality. A total of 1064 female breast cancer survivors in the Prostate, Lung, Colorectal, and Ovarian Cancer Screening (PLCO) Trial prospective cohort, were included in this analysis if they had completed the diet history questionnaire (DHQ). Energy-adjusted DII (E-DII
TM
) scores were calculated based on food and supplement intake. Cox regression and competing risk models were used to estimate multivariable-adjusted hazards ratios (HRs) and 95% confidence intervals (95% CIs) by E-DII tertile (T) for all-cause and breast cancer-specific mortality. With median follow-up of 14.6 years, there were 296 (27.8%) deaths from all causes and 100 (9.4%) breast cancer-specific death. The E-DII was associated with all-cause mortality (HR T3 vs T1, 1.34; 95% CI, 1.01–1.81;
P
trend
, 0.049, Table
2
) and breast cancer mortality (HR T3 vs T1, 1.47; 95% CI, 0.89–2.43;
P
trend
, 0.13; multivariable-adjusted HR for 1-unit increment: 1.10; 95% CI: 1.00–1.22). Non-linear positive dose–response associations with mortality from all causes were identified for E-DII scores (
P
non-linearity
< 0.05). The post-diagnosis E-DII was statistically significantly associated with mortality risk among breast cancer survivors. Long-term anti-inflammatory diet might be a means of improving survival of breast cancer survivors.</abstract><cop>London</cop><pub>Nature Publishing Group UK</pub><pmid>32821804</pmid><doi>10.1038/s41523-020-00179-4</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0002-6416-8967</orcidid><orcidid>https://orcid.org/0000-0003-2512-7887</orcidid><orcidid>https://orcid.org/0000-0001-5401-1803</orcidid><orcidid>https://orcid.org/0000-0003-4589-0599</orcidid><orcidid>https://orcid.org/0000-0003-1434-2856</orcidid><oa>free_for_read</oa></addata></record> |
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| subjects | 692/499 692/699/67/1347 Biomedical and Life Sciences Biomedicine Breast cancer Cancer Research Cell Biology Cohort analysis Diet Human Genetics Medical prognosis Medical screening Mortality Oncology Ovarian cancer |
| title | Long-term anti-inflammatory diet in relation to improved breast cancer prognosis: a prospective cohort study |
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