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Dysregulated transcriptional networks in KMT2A- and MLLT10-rearranged T-ALL

Overview of attention for article published in Biomarker Research, August 2018
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Title
Dysregulated transcriptional networks in KMT2A- and MLLT10-rearranged T-ALL
Published in
Biomarker Research, August 2018
DOI 10.1186/s40364-018-0141-z
Pubmed ID
Authors

Huining Kang, Nitesh D. Sharma, Christian K. Nickl, Meenakshi Devidas, Mignon L. Loh, Stephen P. Hunger, Kimberly P. Dunsmore, Stuart S. Winter, Ksenia Matlawska-Wasowska

Abstract

For children and young adults with T-lineage acute lymphoblastic leukemia (T-ALL), event free survival following relapse is < 10%. We recently showed that rearrangements of the mixed lineage leukemia gene (KMT2A-R) are associated with induction failure and an inferior survival in T-ALL. Because there are currently no molecular features that inform treatment strategies in T-ALL, we hypothesized that transcriptional alterations related to KMT2A-R and MLLT10-R T-ALL could identify biologically relevant genes and signaling pathways for the development of targeted therapies for these groups of patients. We analyzed microarray data from a retrospective cohort of 100 T-ALL patients to identify novel targets for KMT2A (n = 12) or MLLT10 (n = 9) chimeras. We identified 330 probe sets that could discriminate between these groups, including novel targets, like RUNX2, TCF4 or MYO6. The results were further validated in two independent data sets and the functional networks were analyzed to identify pathways that may be of pathogenic or therapeutic relevance.

Twitter Demographics

The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.

Mendeley readers

The data shown below were compiled from readership statistics for 6 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 6 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 2 33%
Researcher 1 17%
Student > Postgraduate 1 17%
Student > Doctoral Student 1 17%
Student > Master 1 17%
Other 0 0%
Readers by discipline Count As %
Medicine and Dentistry 2 33%
Nursing and Health Professions 1 17%
Biochemistry, Genetics and Molecular Biology 1 17%
Immunology and Microbiology 1 17%
Veterinary Science and Veterinary Medicine 1 17%
Other 0 0%

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 31 August 2018.
All research outputs
#11,927,278
of 13,451,706 outputs
Outputs from Biomarker Research
#89
of 109 outputs
Outputs of similar age
#229,477
of 266,291 outputs
Outputs of similar age from Biomarker Research
#1
of 1 outputs
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