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Genomic and outcome analyses of Ph-like ALL in NCI standard-risk patients: a report from the Children's Oncology Group

Overview of attention for article published in Blood, July 2018
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (83rd percentile)
  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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Citations

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Title
Genomic and outcome analyses of Ph-like ALL in NCI standard-risk patients: a report from the Children's Oncology Group
Published in
Blood, July 2018
DOI 10.1182/blood-2018-04-841676
Pubmed ID
Authors

Kathryn G Roberts, Shalini C Reshmi, Richard C Harvey, I-Ming Chen, Kinnari Patel, Eileen Stonerock, Heather Jenkins, Yunfeng Dai, Marc Valentine, Zhaohui Gu, Yaqi Zhao, Jinghui Zhang, Debbie Payne-Turner, Meenakshi Devidas, Nyla A Heerema, Andrew J Carroll, Elizabeth A Raetz, Michael J Borowitz, Brent L Wood, Leonard A Mattano, Kelly W Maloney, William L Carroll, Mignon L Loh, Cheryl L Willman, Julie M Gastier-Foster, Charles G Mullighan, Stephen P Hunger

Abstract

Philadelphia chromosome-like acute lymphoblastic leukemia (Ph-like ALL; BCR-ABL1-like ALL) in children with NCI high-risk (HR) ALL as defined by age and initial white blood cell count, or intermediate risk as defined by minimal residual disease response, is associated with poor outcome. Ph-like ALL is characterized by genetic alterations that activate cytokine receptor and kinase signaling and may be amenable to treatment with tyrosine kinase inhibitors (TKIs). The prevalence, outcome and potential for targeted therapy of Ph-like ALL in NCI standard-risk (SR) ALL is less clear. We retrospectively analyzed a cohort of 1023 SR childhood B-ALL consecutively enrolled on the Children's Oncology Group AALL0331 clinical trial. The Ph-like ALL gene expression profile was identified in 206 patients, 67 patients with either BCR-ABL1 (n=6) or ETV6-RUNX1 (n=61) were excluded from downstream analysis, leaving 139 of 1023 (13.6%) as Ph-like. Targeted RT-PCR assays and RNA-sequencing identified kinase-activating alterations in 38.8% of SR Ph-like cases, including CRLF2 rearrangements (29.5% of Ph-like), ABL-class fusions (1.4%), JAK2 fusions (1.4%), an NTRK3 fusion (0.7%) and other sequence mutations (IL7R, KRAS, NRAS; 5.6%). Patients with Ph-like ALL had inferior 7-year event-free survival compared to non Ph-like ALL (82.4±3.6% vs. 90.7±1.0%, P = .0022), with no difference in overall survival (93.2±2.4% vs. 95.8±0.7%, P = .14). These findings illustrate the significant differences in the spectrum of kinase alterations and clinical outcome of Ph-like ALL based on presenting clinical features, and establish that genomic alterations potentially targetable with approved kinase inhibitors are less frequent in SR than in HR ALL.

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X Demographics

The data shown below were collected from the profiles of 21 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 89 100%

Demographic breakdown

Readers by professional status Count As %
Other 13 15%
Researcher 13 15%
Student > Ph. D. Student 8 9%
Student > Postgraduate 8 9%
Student > Doctoral Student 7 8%
Other 16 18%
Unknown 24 27%
Readers by discipline Count As %
Medicine and Dentistry 35 39%
Biochemistry, Genetics and Molecular Biology 15 17%
Agricultural and Biological Sciences 5 6%
Unspecified 1 1%
Immunology and Microbiology 1 1%
Other 3 3%
Unknown 29 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 13. 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 24 September 2018.
All research outputs
#2,783,740
of 25,385,509 outputs
Outputs from Blood
#3,155
of 33,249 outputs
Outputs of similar age
#54,362
of 339,438 outputs
Outputs of similar age from Blood
#81
of 216 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. Compared to these this one has done well and is in the 89th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 33,249 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 7.6. This one has done particularly well, scoring higher than 90% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 339,438 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 83% of its contemporaries.
We're also able to compare this research output to 216 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.