Literature DB >> 16297978

The chemosensitivity to therapy of childhood early B acute lymphoblastic leukemia could be determined by the combined expression of CD34, SPI-B and BCR genes.

Leila Talby1, Hervé Chambost, Marie-Christine Roubaud, Catherine N'Guyen, Michèle Milili, Béatrice Loriod, Chantal Fossat, Christophe Picard, Jean Gabert, Pierre Chiappetta, Gérard Michel, Claudine Schiff.   

Abstract

We have identified genes differentially expressed in childhood early B acute lymphoblastic leukemia at diagnosis, according to chemosensitivity. Chemosensitive (M1) and chemoresistant (M3) patients present <5% and >25% of residual leukemic blasts at 21 days of treatment, respectively. The expression profiles of 4205 genes for 32 patients included in the FRALLE93 protocol have been determined using microarray. From differential analysis, CD34, SPI-B and BCR distinguished M1 from M3 patients using microarray and RT-PCR data. Linear discriminant analysis (LDA) and cross-validation show that the combined expression of these three genes classify and predict correctly around 90% and 80% of patients, respectively.

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Year:  2005        PMID: 16297978     DOI: 10.1016/j.leukres.2005.10.007

Source DB:  PubMed          Journal:  Leuk Res        ISSN: 0145-2126            Impact factor:   3.156


  7 in total

1.  Analysis of select members of the E26 (ETS) transcription factors family in colorectal cancer.

Authors:  Candida Deves; Daiana Renck; Bernardo Garicochea; Vinicius Duval da Silva; Tiago Giulianni Lopes; Henrique Fillman; Lucio Fillman; Silvana Lunardini; Luis Augusto Basso; Diogenes Santiago Santos; Eraldo L Batista
Journal:  Virchows Arch       Date:  2011-02-12       Impact factor: 4.064

2.  A myelopoiesis gene signature during remission in anti-neutrophil cytoplasm antibody-associated vasculitis does not predict relapses but seems to reflect ongoing prednisolone therapy.

Authors:  T Kurz; M Weiner; C Skoglund; S Basnet; P Eriksson; M Segelmark
Journal:  Clin Exp Immunol       Date:  2014-02       Impact factor: 4.330

Review 3.  Towards the Interpretability of Machine Learning Predictions for Medical Applications Targeting Personalised Therapies: A Cancer Case Survey.

Authors:  Antonio Jesús Banegas-Luna; Jorge Peña-García; Adrian Iftene; Fiorella Guadagni; Patrizia Ferroni; Noemi Scarpato; Fabio Massimo Zanzotto; Andrés Bueno-Crespo; Horacio Pérez-Sánchez
Journal:  Int J Mol Sci       Date:  2021-04-22       Impact factor: 5.923

4.  Platelets alter gene expression profile in human brain endothelial cells in an in vitro model of cerebral malaria.

Authors:  Mathieu Barbier; Dorothée Faille; Béatrice Loriod; Julien Textoris; Claire Camus; Denis Puthier; Laurence Flori; Samuel Crocodile Wassmer; Geneviève Victorero; Marie-Christine Alessi; Thierry Fusaï; Catherine Nguyen; Georges E Grau; Pascal Rihet
Journal:  PLoS One       Date:  2011-05-16       Impact factor: 3.240

5.  Olfactory stem cells, a new cellular model for studying molecular mechanisms underlying familial dysautonomia.

Authors:  Nathalie Boone; Béatrice Loriod; Aurélie Bergon; Oualid Sbai; Christine Formisano-Tréziny; Jean Gabert; Michel Khrestchatisky; Catherine Nguyen; François Féron; Felicia B Axelrod; El Chérif Ibrahim
Journal:  PLoS One       Date:  2010-12-20       Impact factor: 3.240

6.  Detection of Differentially Methylated Regions Using Bayes Factor for Ordinal Group Responses.

Authors:  Fengjiao Dunbar; Hongyan Xu; Duchwan Ryu; Santu Ghosh; Huidong Shi; Varghese George
Journal:  Genes (Basel)       Date:  2019-09-17       Impact factor: 4.096

7.  A pig multi-tissue normalised cDNA library: large-scale sequencing, cluster analysis and 9K micro-array resource generation.

Authors:  Agnès Bonnet; Eddie Iannuccelli; Karine Hugot; Francis Benne; Maria F Bonaldo; Marcelo B Soares; François Hatey; Gwenola Tosser-Klopp
Journal:  BMC Genomics       Date:  2008-01-14       Impact factor: 3.969

  7 in total

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