ReviewInternational journal of molecular sciences2026
Multi-Omics Applications in Adult Acute Lymphoblastic Leukemia: From Biological Mechanisms to Precision Therapies.
Review in International journal of molecular sciences, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- RNA Sequencing Technologies in Acute Lymphoblastic Leukemia: A Comparative Technical Review.Current issues in molecular biology · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adult acute lymphoblastic leukemia (ALL) is a highly heterogeneous hematologic malignancy where treatment response and relapse risk do not exclusively rely on the identification of genetic lesions but also on dynamic biological states sustained by specific transcriptional and epigenetic programs. Although the integrated application of multi-omics approaches has significantly expanded our knowledge of oncogenic dependencies, cellular plasticity, and mechanisms of therapeutic resistance, its systematic translation into the clinical practice of adult ALL is yet to become a reality. The aim of this review is to provide a critical and focused synthesis on how the integration of genomics, transcriptomics, and epigenetics enables the interpretation of disease biological behaviors and may guide personalized therapeutic strategies while simultaneously addressing the major limitations that hinder clinical implementation. Genomics allows for the identification of driver events and pharmacologically actionable vulnerabilities, whereas transcriptomics, including single-cell analyses, reveals functional states associated with clonal persistence, glucocorticoid resistance, and therapeutic adaptation, even in the absence of new mutations. In parallel, epigenetic signatures emerge as key elements in stabilizing oncogenic programs and resistant phenotypes, contributing to the biological plasticity of leukemic cells and representing potentially reversible therapeutic targets. Taken together, multi-omics signatures provide an integrated functional readout of adult ALL and support a dynamic precision-medicine model. However, adaptive therapeutic decisions aimed at relapse prevention require the full integration of these approaches through standardized strategies, longitudinal studies, and a sustainable implementation of molecular profiling and minimal residual disease monitoring.
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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.