ReviewBlood2025
Classification and risk stratification in T-lineage acute lymphoblastic leukemia.
Review in Blood, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.
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.
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.
Who cites it
31 citing papers in PubMed.
- Article
- Article
- CREB1 and GSK3 Isoforms as Potential Adaptive Signaling Nodes in PI3K/Akt/mTOR Inhibitor Treated Philadelphia Chromosome-Positive B-ALL.International journal of molecular sciences · 2026Article
- Linperlisib enhances MUC1-Tn CAR T cell efficacy by inhibiting EGR1/DUSP2 axis to prevent CAR T cell exhaustion.Leukemia · 2026Article
- A genomic and epigenomic lens into the biology of acute lymphoblastic leukaemia.Nature reviews. Cancer · 2026Review
- The machine-learning classifier ALLCatchR2 identifies 20 T-ALL subtypes across cohorts and age groups.HemaSphere · 2026Article
- Measurable residual disease detected by next-generation sequencing in T-cell acute lymphoblastic leukemia.Nature communications · 2026Article
- Therapeutic activation of PPARα contributes to NOTCH1 inhibition in T-cell acute lymphoblastic leukemia.BMC medicine · 2026Article
- Low-Dose Chidamide Maintenance Therapy After Hematopoietic Stem Cell Transplantation for T-Cell Acute Lymphoblastic Leukemia: A Case Series.Hematological oncology · 2026Article
- Patterns of relapse and survival outcomes in pediatric ALL from a single center cohort under the CCCG ALL 2015 protocol.Discover oncology · 2026Article
- NUDT21 Drives T-Cell Acute Lymphoblastic Leukemia Through Dual Regulation of Alternative Polyadenylation and Transcriptional Activation.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Article
- Multi-Omics Applications in Adult Acute Lymphoblastic Leukemia: From Biological Mechanisms to Precision Therapies.International journal of molecular sciences · 2026Review
- The Non-Coding Code: Silent Regulators of MEG3 and Let-7i-3p/5p in the Progression of Acute Lymphoblastic Leukemia.Asian Pacific journal of cancer prevention : APJCP · 2026Article
- Article
- A Risk Model Using Refined Disease Risk Index and 1-Month NK-Cell Count for Relapse in Children and Adults with T-ALL/LBL After Myeloablative Umbilical Cord Blood Transplantation.Blood and lymphatic cancer : targets and therapy · 2026Article
- Chronic myeloid leukemia in blast phase masquerading as T-lymphoblastic lymphoma with t(22;22) karyotype: a case report.Frontiers in oncology · 2026Article
- Advances in Acute Lymphoblastic Leukemia Review Series.Acta haematologica · 2026Article
- USP7 alterations are associated with a poor survival in pediatric T-cell acute lymphoblastic leukemia.Blood advances · 2025Article
- A new sUSPect in T-ALL risk stratification.Blood advances · 2025Article
- Have CARs stalled for non-B-cell malignancies? Where are we, and where are we going?Hematology. American Society of Hematology. Education Program · 2025Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
abstractCure rates for patients with acute lymphoblastic leukemia (ALL) have improved markedly in recent decades, in part because of risk stratification incorporating leukemia genomics, response to treatment, and clinical features to be able to determine at diagnosis which patients are more likely to relapse or have refractory disease. Although risk stratification is well developed for patients with B-lineage ALL, it remains challenging for those with T-lineage ALL (T-ALL). Prognostic factors validated across clinical trials and real-world data in T-ALL include age, central nervous system involvement, and measurable residual disease (MRD) response. Immunophenotype, including early T-cell precursor ALL, is widely used to classify T-ALL but is not consistently associated with outcome in multivariable risk models. Historically, few genetic alterations have been consistently associated with outcome, but recent comprehensive, large-scale genomic profiling has identified multiple genetic subtypes and alterations associated with outcome independent of MRD. This review highlights ongoing efforts to identify reliable prognostic biomarkers and underscores the potential of genomics-based classification to guide future T-ALL treatment strategies.
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Registered trials
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.