Literature DB >> 33069783

HOXA9/IRX1 expression pattern defines two subgroups of infant MLL-AF4-driven acute lymphoblastic leukemia.

Vasiliki Symeonidou1, Katrin Ottersbach2.   

Abstract

Infant t(4;11) acute lymphoblastic leukemia is the most common leukemia in infant patients and has a highly aggressive nature. The patients have a dismal prognosis, which has not improved in more than a decade, suggesting that a better understanding of this disease is required. In the study described here, we analyzed two previously published RNA-sequencing data sets and gained further insights into the global transcriptomes of two known subgroups of this disease, which are characterized by the presence or absence of a homeobox gene expression signature. Specifically, we identified a remarkable mutually exclusive expression of the HOXA9/HOXA10 and IRX1 genes and termed the two subgroups iALL-HOXA9 and iALL-IRX1. This expression pattern is critical as it suggests that there is a fundamental difference between the two subgroups. Investigation of the transcriptomes of the two subgroups reveals a more aggressive nature for the iALL-IRX1 group, which is further supported by the fact that patients within this group have a worse prognosis and are also diagnosed at a younger age. This could be reflective of a developmentally earlier cell of origin for iALL-IRX1. Our analysis further uncovered critical differences between the two groups that may have an impact on treatment strategies. In summary, after a detailed investigation into the transcriptional profiles of iALL-HOXA9 and iALL-IRX1 patients, we highlight the importance of acknowledging that these two subgroups are different and that this is of clinical importance. Crown
Copyright © 2020. Published by Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2020        PMID: 33069783      PMCID: PMC7851112          DOI: 10.1016/j.exphem.2020.10.002

Source DB:  PubMed          Journal:  Exp Hematol        ISSN: 0301-472X            Impact factor:   3.084


  26 in total

1.  Gene expression profiles predictive of outcome and age in infant acute lymphoblastic leukemia: a Children's Oncology Group study.

Authors:  Huining Kang; Carla S Wilson; Richard C Harvey; I-Ming Chen; Maurice H Murphy; Susan R Atlas; Edward J Bedrick; Meenakshi Devidas; Andrew J Carroll; Blaine W Robinson; Ronald W Stam; Maria G Valsecchi; Rob Pieters; Nyla A Heerema; Joanne M Hilden; Carolyn A Felix; Gregory H Reaman; Bruce Camitta; Naomi Winick; William L Carroll; ZoAnn E Dreyer; Stephen P Hunger; Cheryl L Willman
Journal:  Blood       Date:  2011-12-30       Impact factor: 22.113

2.  Gene set enrichment analysis: a knowledge-based approach for interpreting genome-wide expression profiles.

Authors:  Aravind Subramanian; Pablo Tamayo; Vamsi K Mootha; Sayan Mukherjee; Benjamin L Ebert; Michael A Gillette; Amanda Paulovich; Scott L Pomeroy; Todd R Golub; Eric S Lander; Jill P Mesirov
Journal:  Proc Natl Acad Sci U S A       Date:  2005-09-30       Impact factor: 11.205

3.  Bone marrow mesenchymal stem cells from infants with MLL-AF4+ acute leukemia harbor and express the MLL-AF4 fusion gene.

Authors:  Pablo Menendez; Purificación Catalina; René Rodríguez; Gustavo J Melen; Clara Bueno; Mar Arriero; Félix García-Sánchez; Alvaro Lassaletta; Ramón García-Sanz; Javier García-Castro
Journal:  J Exp Med       Date:  2009-12-07       Impact factor: 14.307

4.  Identification of an integrated SV40 T/t-antigen cancer signature in aggressive human breast, prostate, and lung carcinomas with poor prognosis.

Authors:  Kristin K Deeb; Aleksandra M Michalowska; Cheol-Yong Yoon; Scott M Krummey; Mark J Hoenerhoff; Claudine Kavanaugh; Ming-Chung Li; Francesco J Demayo; Ilona Linnoila; Chu-Xia Deng; Eva Y-H P Lee; Daniel Medina; Joanna H Shih; Jeffrey E Green
Journal:  Cancer Res       Date:  2007-09-01       Impact factor: 12.701

5.  Gene expression profiling-based dissection of MLL translocated and MLL germline acute lymphoblastic leukemia in infants.

Authors:  Ronald W Stam; Pauline Schneider; Jill A P Hagelstein; Marieke H van der Linden; Dominique J P M Stumpel; Renee X de Menezes; Paola de Lorenzo; Maria G Valsecchi; Rob Pieters
Journal:  Blood       Date:  2009-12-23       Impact factor: 22.113

6.  Meta-analysis of estrogen response in MCF-7 distinguishes early target genes involved in signaling and cell proliferation from later target genes involved in cell cycle and DNA repair.

Authors:  Vidhya Jagannathan; Marc Robinson-Rechavi
Journal:  BMC Syst Biol       Date:  2011-08-30

7.  A single-cell molecular map of mouse gastrulation and early organogenesis.

Authors:  Blanca Pijuan-Sala; Jonathan A Griffiths; Carolina Guibentif; Tom W Hiscock; Wajid Jawaid; Fernando J Calero-Nieto; Carla Mulas; Ximena Ibarra-Soria; Richard C V Tyser; Debbie Lee Lian Ho; Wolf Reik; Shankar Srinivas; Benjamin D Simons; Jennifer Nichols; John C Marioni; Berthold Göttgens
Journal:  Nature       Date:  2019-02-20       Impact factor: 69.504

8.  Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2.

Authors:  Michael I Love; Wolfgang Huber; Simon Anders
Journal:  Genome Biol       Date:  2014       Impact factor: 13.583

9.  CD133-directed CAR T-cells for MLL leukemia: on-target, off-tumor myeloablative toxicity.

Authors:  Clara Bueno; Talia Velasco-Hernandez; Francisco Gutiérrez-Agüera; Samanta Romina Zanetti; Matteo L Baroni; Diego Sánchez-Martínez; Oscar Molina; Adria Closa; Antonio Agraz-Doblás; Pedro Marín; Eduardo Eyras; Ignacio Varela; Pablo Menéndez
Journal:  Leukemia       Date:  2019-02-18       Impact factor: 11.528

10.  Decoding human fetal liver haematopoiesis.

Authors:  Dorin-Mirel Popescu; Rachel A Botting; Emily Stephenson; Kile Green; Simone Webb; Laura Jardine; Emily F Calderbank; Krzysztof Polanski; Issac Goh; Mirjana Efremova; Meghan Acres; Daniel Maunder; Peter Vegh; Yorick Gitton; Jong-Eun Park; Roser Vento-Tormo; Zhichao Miao; David Dixon; Rachel Rowell; David McDonald; James Fletcher; Elizabeth Poyner; Gary Reynolds; Michael Mather; Corina Moldovan; Lira Mamanova; Frankie Greig; Matthew D Young; Kerstin B Meyer; Steven Lisgo; Jaume Bacardit; Andrew Fuller; Ben Millar; Barbara Innes; Susan Lindsay; Michael J T Stubbington; Monika S Kowalczyk; Bo Li; Orr Ashenberg; Marcin Tabaka; Danielle Dionne; Timothy L Tickle; Michal Slyper; Orit Rozenblatt-Rosen; Andrew Filby; Peter Carey; Alexandra-Chloé Villani; Anindita Roy; Aviv Regev; Alain Chédotal; Irene Roberts; Berthold Göttgens; Sam Behjati; Elisa Laurenti; Sarah A Teichmann; Muzlifah Haniffa
Journal:  Nature       Date:  2019-10-09       Impact factor: 69.504

View more
  5 in total

1.  A six-gene prognostic signature for both adult and pediatric acute myeloid leukemia identified with machine learning.

Authors:  Zhenqiu Liu; Irina Elcheva
Journal:  Am J Transl Res       Date:  2022-09-15       Impact factor: 3.940

2.  Defining the fetal origin of MLL-AF4 infant leukemia highlights specific fatty acid requirements.

Authors:  Vasiliki Symeonidou; Hélène Jakobczyk; Salem Bashanfer; Camille Malouf; Foteini Fotopoulou; Rishi S Kotecha; Richard A Anderson; Andrew J Finch; Katrin Ottersbach
Journal:  Cell Rep       Date:  2021-10-26       Impact factor: 9.423

3.  A human fetal liver-derived infant MLL-AF4 acute lymphoblastic leukemia model reveals a distinct fetal gene expression program.

Authors:  Siobhan Rice; Thomas Jackson; Nicholas T Crump; Nicholas Fordham; Natalina Elliott; Sorcha O'Byrne; Maria Del Mar Lara Fanego; Dilys Addy; Trisevgeni Crabb; Carryl Dryden; Sarah Inglott; Dariusz Ladon; Gary Wright; Jack Bartram; Philip Ancliff; Adam J Mead; Christina Halsey; Irene Roberts; Thomas A Milne; Anindita Roy
Journal:  Nat Commun       Date:  2021-11-25       Impact factor: 14.919

4.  The immune checkpoint ICOSLG is a relapse-predicting biomarker and therapeutic target in infant t(4;11) acute lymphoblastic leukemia.

Authors:  Marius Külp; Anna Lena Siemund; Patrizia Larghero; Alissa Dietz; Julia Alten; Gunnar Cario; Cornelia Eckert; Aurélie Caye-Eude; Hélène Cavé; Michela Bardini; Giovanni Cazzaniga; Paola De Lorenzo; Maria Grazia Valsecchi; Laura Diehl; Halvard Bonig; Claus Meyer; Rolf Marschalek
Journal:  iScience       Date:  2022-06-16

5.  The Hematopoietic TALE-Code Shows Normal Activity of IRX1 in Myeloid Progenitors and Reveals Ectopic Expression of IRX3 and IRX5 in Acute Myeloid Leukemia.

Authors:  Stefan Nagel; Claudia Pommerenke; Corinna Meyer; Roderick A F MacLeod
Journal:  Int J Mol Sci       Date:  2022-03-16       Impact factor: 5.923

  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.