Predicting survival of de novo metastatic breast cancer in Asian women: systematic review and validation study
In Asia, up to 25% of breast cancer patients present with distant metastases at diagnosis. Given the heterogeneous survival probabilities of de novo metastatic breast cancer, individual outcome prediction is challenging. The aim of the study is to identify existing prognostic models for patients wit...
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creator | Miao, Hui Hartman, Mikael Bhoo-Pathy, Nirmala Lee, Soo-Chin Taib, Nur Aishah Tan, Ern-Yu Chan, Patrick Moons, Karel G M Wong, Hoong-Seam Goh, Jeremy Rahim, Siti Mastura Yip, Cheng-Har Verkooijen, Helena M |
description | In Asia, up to 25% of breast cancer patients present with distant metastases at diagnosis. Given the heterogeneous survival probabilities of de novo metastatic breast cancer, individual outcome prediction is challenging. The aim of the study is to identify existing prognostic models for patients with de novo metastatic breast cancer and validate them in Asia.
We performed a systematic review to identify prediction models for metastatic breast cancer. Models were validated in 642 women with de novo metastatic breast cancer registered between 2000 and 2010 in the Singapore Malaysia Hospital Based Breast Cancer Registry. Survival curves for low, intermediate and high-risk groups according to each prognostic score were compared by log-rank test and discrimination of the models was assessed by concordance statistic (C-statistic).
We identified 16 prediction models, seven of which were for patients with brain metastases only. Performance status, estrogen receptor status, metastatic site(s) and disease-free interval were the most common predictors. We were able to validate nine prediction models. The capacity of the models to discriminate between poor and good survivors varied from poor to fair with C-statistics ranging from 0.50 (95% CI, 0.48-0.53) to 0.63 (95% CI, 0.60-0.66).
The discriminatory performance of existing prediction models for de novo metastatic breast cancer in Asia is modest. Development of an Asian-specific prediction model is needed to improve prognostication and guide decision making. |
doi_str_mv | 10.1371/journal.pone.0093755 |
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We performed a systematic review to identify prediction models for metastatic breast cancer. Models were validated in 642 women with de novo metastatic breast cancer registered between 2000 and 2010 in the Singapore Malaysia Hospital Based Breast Cancer Registry. Survival curves for low, intermediate and high-risk groups according to each prognostic score were compared by log-rank test and discrimination of the models was assessed by concordance statistic (C-statistic).
We identified 16 prediction models, seven of which were for patients with brain metastases only. Performance status, estrogen receptor status, metastatic site(s) and disease-free interval were the most common predictors. We were able to validate nine prediction models. The capacity of the models to discriminate between poor and good survivors varied from poor to fair with C-statistics ranging from 0.50 (95% CI, 0.48-0.53) to 0.63 (95% CI, 0.60-0.66).
The discriminatory performance of existing prediction models for de novo metastatic breast cancer in Asia is modest. Development of an Asian-specific prediction model is needed to improve prognostication and guide decision making.</description><identifier>ISSN: 1932-6203</identifier><identifier>EISSN: 1932-6203</identifier><identifier>DOI: 10.1371/journal.pone.0093755</identifier><identifier>PMID: 24695692</identifier><language>eng</language><publisher>United States: Public Library of Science</publisher><subject>Analysis ; Asian Continental Ancestry Group ; Brain ; Brain cancer ; Breast cancer ; Breast Neoplasms - mortality ; Breast Neoplasms - pathology ; Cancer ; Cancer patients ; Cancer therapies ; Care and treatment ; Chemotherapy ; Decision making ; Epidemiology ; Estrogens ; Ethnicity ; Female ; Health aspects ; Health sciences ; Hospitals ; Humans ; Identification methods ; Malaysia ; Mathematical models ; Medical diagnosis ; Medical prognosis ; Medicine ; Medicine and Health Sciences ; Metastases ; Metastasis ; Neoplasm Metastasis - pathology ; Oligonucleotides ; Oncology, Experimental ; Patient outcomes ; Patients ; Prediction models ; Primary care ; Prognosis ; Public health ; Risk groups ; Singapore ; Statistical analysis ; Studies ; Surgery ; Survival ; Systematic review ; Womens health</subject><ispartof>PloS one, 2014-04, Vol.9 (4), p.e93755-e93755</ispartof><rights>COPYRIGHT 2014 Public Library of Science</rights><rights>2014 Miao 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>2014 Miao et al 2014 Miao et al</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c730t-a7b46dd995867c02b7caf5e2eae30967cafa1f93df125c252cd6a9b3d0b5818c3</citedby><cites>FETCH-LOGICAL-c730t-a7b46dd995867c02b7caf5e2eae30967cafa1f93df125c252cd6a9b3d0b5818c3</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/PMC3973579/pdf/$$EPDF$$P50$$Gpubmedcentral$$Hfree_for_read</linktopdf><linktohtml>$$Uhttps://www.ncbi.nlm.nih.gov/pmc/articles/PMC3973579/$$EHTML$$P50$$Gpubmedcentral$$Hfree_for_read</linktohtml><link.rule.ids>230,314,550,723,776,780,860,881,2095,2914,23846,27903,27904,53769,53771,79346,79347</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/24695692$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink><backlink>$$Uhttp://kipublications.ki.se/Default.aspx?queryparsed=id:128706502$$DView record from Swedish Publication Index$$Hfree_for_read</backlink></links><search><contributor>Aziz, Syed A.</contributor><creatorcontrib>Miao, Hui</creatorcontrib><creatorcontrib>Hartman, Mikael</creatorcontrib><creatorcontrib>Bhoo-Pathy, Nirmala</creatorcontrib><creatorcontrib>Lee, Soo-Chin</creatorcontrib><creatorcontrib>Taib, Nur Aishah</creatorcontrib><creatorcontrib>Tan, Ern-Yu</creatorcontrib><creatorcontrib>Chan, Patrick</creatorcontrib><creatorcontrib>Moons, Karel G M</creatorcontrib><creatorcontrib>Wong, Hoong-Seam</creatorcontrib><creatorcontrib>Goh, Jeremy</creatorcontrib><creatorcontrib>Rahim, Siti Mastura</creatorcontrib><creatorcontrib>Yip, Cheng-Har</creatorcontrib><creatorcontrib>Verkooijen, Helena M</creatorcontrib><title>Predicting survival of de novo metastatic breast cancer in Asian women: systematic review and validation study</title><title>PloS one</title><addtitle>PLoS One</addtitle><description>In Asia, up to 25% of breast cancer patients present with distant metastases at diagnosis. Given the heterogeneous survival probabilities of de novo metastatic breast cancer, individual outcome prediction is challenging. The aim of the study is to identify existing prognostic models for patients with de novo metastatic breast cancer and validate them in Asia.
We performed a systematic review to identify prediction models for metastatic breast cancer. Models were validated in 642 women with de novo metastatic breast cancer registered between 2000 and 2010 in the Singapore Malaysia Hospital Based Breast Cancer Registry. Survival curves for low, intermediate and high-risk groups according to each prognostic score were compared by log-rank test and discrimination of the models was assessed by concordance statistic (C-statistic).
We identified 16 prediction models, seven of which were for patients with brain metastases only. Performance status, estrogen receptor status, metastatic site(s) and disease-free interval were the most common predictors. We were able to validate nine prediction models. The capacity of the models to discriminate between poor and good survivors varied from poor to fair with C-statistics ranging from 0.50 (95% CI, 0.48-0.53) to 0.63 (95% CI, 0.60-0.66).
The discriminatory performance of existing prediction models for de novo metastatic breast cancer in Asia is modest. Development of an Asian-specific prediction model is needed to improve prognostication and guide decision making.</description><subject>Analysis</subject><subject>Asian Continental Ancestry Group</subject><subject>Brain</subject><subject>Brain cancer</subject><subject>Breast cancer</subject><subject>Breast Neoplasms - mortality</subject><subject>Breast Neoplasms - pathology</subject><subject>Cancer</subject><subject>Cancer patients</subject><subject>Cancer therapies</subject><subject>Care and treatment</subject><subject>Chemotherapy</subject><subject>Decision making</subject><subject>Epidemiology</subject><subject>Estrogens</subject><subject>Ethnicity</subject><subject>Female</subject><subject>Health aspects</subject><subject>Health sciences</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Identification methods</subject><subject>Malaysia</subject><subject>Mathematical models</subject><subject>Medical diagnosis</subject><subject>Medical prognosis</subject><subject>Medicine</subject><subject>Medicine and Health Sciences</subject><subject>Metastases</subject><subject>Metastasis</subject><subject>Neoplasm Metastasis - pathology</subject><subject>Oligonucleotides</subject><subject>Oncology, Experimental</subject><subject>Patient outcomes</subject><subject>Patients</subject><subject>Prediction models</subject><subject>Primary care</subject><subject>Prognosis</subject><subject>Public health</subject><subject>Risk groups</subject><subject>Singapore</subject><subject>Statistical analysis</subject><subject>Studies</subject><subject>Surgery</subject><subject>Survival</subject><subject>Systematic review</subject><subject>Womens 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survival of de novo metastatic breast cancer in Asian women: systematic review and validation study</title><author>Miao, Hui ; Hartman, Mikael ; Bhoo-Pathy, Nirmala ; Lee, Soo-Chin ; Taib, Nur Aishah ; Tan, Ern-Yu ; Chan, Patrick ; Moons, Karel G M ; Wong, Hoong-Seam ; Goh, Jeremy ; Rahim, Siti Mastura ; Yip, Cheng-Har ; Verkooijen, Helena M</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c730t-a7b46dd995867c02b7caf5e2eae30967cafa1f93df125c252cd6a9b3d0b5818c3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2014</creationdate><topic>Analysis</topic><topic>Asian Continental Ancestry Group</topic><topic>Brain</topic><topic>Brain cancer</topic><topic>Breast cancer</topic><topic>Breast Neoplasms - mortality</topic><topic>Breast Neoplasms - pathology</topic><topic>Cancer</topic><topic>Cancer patients</topic><topic>Cancer therapies</topic><topic>Care and 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Helena M</au><au>Aziz, Syed A.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Predicting survival of de novo metastatic breast cancer in Asian women: systematic review and validation study</atitle><jtitle>PloS one</jtitle><addtitle>PLoS One</addtitle><date>2014-04-01</date><risdate>2014</risdate><volume>9</volume><issue>4</issue><spage>e93755</spage><epage>e93755</epage><pages>e93755-e93755</pages><issn>1932-6203</issn><eissn>1932-6203</eissn><abstract>In Asia, up to 25% of breast cancer patients present with distant metastases at diagnosis. Given the heterogeneous survival probabilities of de novo metastatic breast cancer, individual outcome prediction is challenging. The aim of the study is to identify existing prognostic models for patients with de novo metastatic breast cancer and validate them in Asia.
We performed a systematic review to identify prediction models for metastatic breast cancer. Models were validated in 642 women with de novo metastatic breast cancer registered between 2000 and 2010 in the Singapore Malaysia Hospital Based Breast Cancer Registry. Survival curves for low, intermediate and high-risk groups according to each prognostic score were compared by log-rank test and discrimination of the models was assessed by concordance statistic (C-statistic).
We identified 16 prediction models, seven of which were for patients with brain metastases only. Performance status, estrogen receptor status, metastatic site(s) and disease-free interval were the most common predictors. We were able to validate nine prediction models. The capacity of the models to discriminate between poor and good survivors varied from poor to fair with C-statistics ranging from 0.50 (95% CI, 0.48-0.53) to 0.63 (95% CI, 0.60-0.66).
The discriminatory performance of existing prediction models for de novo metastatic breast cancer in Asia is modest. Development of an Asian-specific prediction model is needed to improve prognostication and guide decision making.</abstract><cop>United States</cop><pub>Public Library of Science</pub><pmid>24695692</pmid><doi>10.1371/journal.pone.0093755</doi><oa>free_for_read</oa></addata></record> |
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recordid | cdi_plos_journals_1512317438 |
source | MEDLINE; DOAJ Directory of Open Access Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; SWEPUB Freely available online; Public Library of Science (PLoS); PubMed Central; Free Full-Text Journals in Chemistry |
subjects | Analysis Asian Continental Ancestry Group Brain Brain cancer Breast cancer Breast Neoplasms - mortality Breast Neoplasms - pathology Cancer Cancer patients Cancer therapies Care and treatment Chemotherapy Decision making Epidemiology Estrogens Ethnicity Female Health aspects Health sciences Hospitals Humans Identification methods Malaysia Mathematical models Medical diagnosis Medical prognosis Medicine Medicine and Health Sciences Metastases Metastasis Neoplasm Metastasis - pathology Oligonucleotides Oncology, Experimental Patient outcomes Patients Prediction models Primary care Prognosis Public health Risk groups Singapore Statistical analysis Studies Surgery Survival Systematic review Womens health |
title | Predicting survival of de novo metastatic breast cancer in Asian women: systematic review and validation study |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-25T05%3A24%3A11IST&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=Predicting%20survival%20of%20de%20novo%20metastatic%20breast%20cancer%20in%20Asian%20women:%20systematic%20review%20and%20validation%20study&rft.jtitle=PloS%20one&rft.au=Miao,%20Hui&rft.date=2014-04-01&rft.volume=9&rft.issue=4&rft.spage=e93755&rft.epage=e93755&rft.pages=e93755-e93755&rft.issn=1932-6203&rft.eissn=1932-6203&rft_id=info:doi/10.1371/journal.pone.0093755&rft_dat=%3Cgale_plos_%3EA375583012%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=1512317438&rft_id=info:pmid/24695692&rft_galeid=A375583012&rft_doaj_id=oai_doaj_org_article_b673920df8cd4f6eb85e1d80f42a0361&rfr_iscdi=true |