Evidence map›Paper›PMID 42862428›Full record

ReviewBlood research2026

Understanding and clinical approach to early T-cell precursor acute lymphoblastic leukemia.

Hee Young Ju

Abstract readReview
In one paragraph

Review in Blood research, 2026. 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

1 author.

Hee Young JuDepartment of Pediatrics, Samsung Medical Center, Seoul, South Korea. hyju320@gmail.com.ORCID https://orcid.org/0000-0001-6744-0412

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Early T-cell precursor acute lymphoblastic leukemia (ETP-ALL) is a distinct biological subtype of T-cell acute lymphoblastic leukemia (T-ALL) that was first described in 2009 based on a gene expression profile resembling that of early T-cell precursors in the thymus. ETP-ALL is characterized by an immature immunophenotype featuring positivity for CD7 and cytoplasmic CD3, with co-expression of myeloid/stem cell markers, and absence of CD1a, CD8, with weak or absent CD5 expression. ETP-ALL accounts for 5.5%-17.1% of pediatric and 15.8%-47.3% of adult T-ALL cases. Early studies identified ETP-ALL as a high-risk entity associated with induction failure and poor outcomes. However, subsequent prospective clinical trials demonstrated that outcomes with contemporary intensive chemotherapy were not significantly inferior to those of non-ETP T-ALL, challenging its designation as a uniformly high-risk disease. Recent large-scale genomic studies have identified molecularly defined subtypes that supersede immunophenotypic classifications, including ETP-like, BCL11B-rearranged, and SPI1-rearranged subtypes, with markedly different prognostic implications. Minimal residual disease (MRD) response remains the most robust prognostic indicator for guiding treatment intensification. Allogeneic hematopoietic stem cell transplantation (HSCT) is recommended for patients with persistent MRD positivity after consolidation. For relapsed/refractory disease, novel agents, including daratumumab, venetoclax, and bortezomib, have demonstrated promising activity, with allogeneic HSCT in the second complete remission remaining the treatment goal. This review provides an overview of the definitions, genomic classifications, clinical outcomes, and evolving treatment approaches for ETP-ALL.

Indexed as

Allogeneic HSCTDaratumumabEarly T-cell precursorETP-ALLGenomic classificationImmunophenotypeMRDT-cell acute lymphoblastic leukemiaVenetoclax

Identifiers

PMID42862428
PMCPMC13658697

What OpenQuestion holds

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Registered trials

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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.