Evidence map›Paper›PMID 41348046›Full record

ReviewHematology. American Society of Hematology. Education Program2025

Emerging genomic biomarkers in diagnosis and classification of T-cell acute lymphoblastic leukemia.

Jason Xu, David T Teachey

Abstract readReview
In one paragraph

Review in Hematology. American Society of Hematology. Education Program, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jason XuPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA.
David T TeacheyPerelman School of Medicine, University of Pennsylvania, Philadelphia, PA.

Funding

Improving risk allocation and developing novel therapies for children with T-ALL and T-LLR01CA193776 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI Terzah M Horton, ADAM B OLSHEN · 2015 to 2026
$6.2M
Biomarkers of dasatinib response and resistance in T-cell acute lymphoblastic leukemiaR01CA264837 · NCI · ST. JUDE CHILDREN'S RESEARCH HOSPITAL · PI TEACHEY, DAVID T., YANG, JUN J. · 2021 to 2025
$3.0M
Genomic Profiling of T-cell Acute Lymphoblastic Leukemia in ChildrenR03CA256550 · NCI · CHILDREN'S HOSP OF PHILADELPHIA · PI MULLIGHAN, CHARLES G., TEACHEY, DAVID T. · 2021 to 2021
$382k
NCI NIH HHS R01 CA193776NCI NIH HHS R01 CA264837NCI NIH HHS R03 CA256550NIH HHS X01HD100702
6 · The paper itself

Abstract

Contemporary chemotherapy protocols have improved cure rates for children, adolescents, and young adults (CAYA) with T-lineage acute lymphoblastic leukemia (T-ALL) to greater than 80%. Unfortunately, outcomes for CAYA with relapsed and refractory disease, as well as older adults, remain poor. A key goal in the treatment of T-ALL therapy is preventing relapse; however, it is challenging to identify high-risk patients. Recently, several genomic initiatives have identified distinct biological subtypes of T-ALL and have correlated disease biology, including mutational status, transcriptional phenotype, and clonal drivers, with therapy response and outcome. The integration of genomic profiling into clinical diagnosis and treatment has promise to guide risk stratification, targeted therapy, and clinical trial design for high-risk patients. This review highlights the recently mapped genomic landscape of T-ALL, with particular emphasis on recently identified genomic molecular signatures, their utility in risk stratification, and targeted therapy selection for refractory cases.

Indexed as

Biomarkers, TumorGenomicsPrecursor T-Cell Lymphoblastic Leukemia-LymphomaAdolescentAdultChildHumansBiomarkers, Tumor

Identifiers

PMID41348046
PMCPMC12891363

What OpenQuestion holds

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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.