{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,9]],"date-time":"2026-01-09T12:56:56Z","timestamp":1767963416908,"version":"3.49.0"},"reference-count":47,"publisher":"Oxford University Press (OUP)","issue":"9","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2013,5,1]]},"abstract":"<jats:title>Abstract<\/jats:title><jats:p>Motivation: Despite huge prognostic promises, gene expression-based survival assessment is rarely used in clinical routine. Main reasons include difficulties in performing and reporting analyses and restriction in most methods to one high-risk group with the vast majority of patients being unassessed. The present study aims at limiting these difficulties by (i) mathematically defining the number of risk groups without any a priori assumption; (ii) computing the risk of an independent cohort by considering each patient as a new patient incorporated to the validation cohort and (iii) providing an open-access Web site to freely compute risk for every new patient.<\/jats:p><jats:p>Results: Using the gene expression profiles of 551 patients with multiple myeloma, 602 with breast-cancer and 460 with glioma, we developed a model combining running log-rank tests under controlled chi-square conditions and multiple testing corrections to build a risk score and a classification algorithm using simultaneous global and between-group log-rank chi-square maximization. For each cancer entity, we provide a statistically significant three-group risk prediction model, which is corroborated with publicly available validation cohorts.<\/jats:p><jats:p>Conclusion: In constraining between-group significances, the risk score compares favorably with previous risk classifications.<\/jats:p><jats:p>Availability: Risk assessment is freely available on the Web at https:\/\/gliserv.montp.inserm.fr\/PrognoWeb\/ for personal or test data files. Web site implementation in Perl, R and Apache.<\/jats:p><jats:p>Contact: \u00a0thierry.reme@inserm.fr<\/jats:p><jats:p>Supplementary information: \u00a0Supplementary data are available at Bioinformatics online.<\/jats:p>","DOI":"10.1093\/bioinformatics\/btt124","type":"journal-article","created":{"date-parts":[[2013,3,15]],"date-time":"2013-03-15T11:03:31Z","timestamp":1363345411000},"page":"1149-1157","source":"Crossref","is-referenced-by-count":48,"title":["Modeling risk stratification in human cancer"],"prefix":"10.1093","volume":"29","author":[{"given":"Thierry","family":"R\u00e8me","sequence":"first","affiliation":[{"name":"1 INSERM-UM1, U1040, Institut de Recherche en Bioth\u00e9rapie, 34295 Montpellier, France, 2Medizinische Klinik V, Universit\u00e4tsklinikum Heidelberg, Nationales Centrum f\u00fcr Tumorerkrankungen, 69120 Heidelberg, Germany and 3INSERM, U896, Institut de Recherche en Canc\u00e9rologie de Montpellier, 34295 Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dirk","family":"Hose","sequence":"additional","affiliation":[{"name":"1 INSERM-UM1, U1040, Institut de Recherche en Bioth\u00e9rapie, 34295 Montpellier, France, 2Medizinische Klinik V, Universit\u00e4tsklinikum Heidelberg, Nationales Centrum f\u00fcr Tumorerkrankungen, 69120 Heidelberg, Germany and 3INSERM, U896, Institut de Recherche en Canc\u00e9rologie de Montpellier, 34295 Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Charles","family":"Theillet","sequence":"additional","affiliation":[{"name":"1 INSERM-UM1, U1040, Institut de Recherche en Bioth\u00e9rapie, 34295 Montpellier, France, 2Medizinische Klinik V, Universit\u00e4tsklinikum Heidelberg, Nationales Centrum f\u00fcr Tumorerkrankungen, 69120 Heidelberg, Germany and 3INSERM, U896, Institut de Recherche en Canc\u00e9rologie de Montpellier, 34295 Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bernard","family":"Klein","sequence":"additional","affiliation":[{"name":"1 INSERM-UM1, U1040, Institut de Recherche en Bioth\u00e9rapie, 34295 Montpellier, France, 2Medizinische Klinik V, Universit\u00e4tsklinikum Heidelberg, Nationales Centrum f\u00fcr Tumorerkrankungen, 69120 Heidelberg, Germany and 3INSERM, U896, Institut de Recherche en Canc\u00e9rologie de Montpellier, 34295 Montpellier, France"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"286","published-online":{"date-parts":[[2013,3,14]]},"reference":[{"key":"2023012810390663200_btt124-B1","doi-asserted-by":"crossref","first-page":"E108","DOI":"10.1371\/journal.pbio.0020108","article-title":"Semi-supervised methods to predict patient survival from gene expression data","volume":"2","author":"Bair","year":"2004","journal-title":"PLoS Biol."},{"key":"2023012810390663200_btt124-B2","doi-asserted-by":"crossref","first-page":"2633","DOI":"10.1182\/blood-2005-10-4084","article-title":"Total therapy 2 without thalidomide in comparison with total therapy 1: role of intensified induction and posttransplantation consolidation therapies","volume":"107","author":"Barlogie","year":"2006","journal-title":"Blood"},{"key":"2023012810390663200_btt124-B3","doi-asserted-by":"crossref","first-page":"289","DOI":"10.1111\/j.2517-6161.1995.tb02031.x","article-title":"Controlling the false discovery rate: a practical and powerful approach to multiple testing","volume":"57","author":"Benjamini","year":"1995","journal-title":"J. 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