ReviewDiscover oncology2025
Deciphering and targeting oncogenic pathways through integrated approaches and amino acid metabolism in hematologic malignancies.
Review in Discover oncology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 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
3 citing papers in PubMed.
- Targeted degradation of protein in hematologic malignancies: mechanisms, therapeutic strategies, and clinical prospects.Cancer gene therapy · 2026Review
- Reprogramming Autophagy to Strengthen Antitumour Immunity: Advances in Immunotherapeutic Strategies.Immunology · 2026Review
- Tumor-Restricted CXCR4 and MIF Signaling Axis is Associated with T Cell-Mediated Macrophage Exclusion in Gastrointestinal Stromal Tumors.International journal of general medicine · 2026Article
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
No grant is acknowledged in the PubMed record.
Abstract
Hematologic malignancies, including leukemia, lymphoma, and multiple myeloma, represent a diverse group of blood cancers driven by complex oncogenic pathways and genetic aberrations. Despite advances in treatment, resistance and relapse remain significant clinical challenges. This review presents an integrative approach to blood cancer therapy, highlighting the convergence of precision medicine, CRISPR-based gene editing, immunotherapy (including CAR-T cells and immune checkpoint inhibitors), and targeted modulation of amino acid metabolism. We investigate the molecular pathways driving tumour development and resistance, highlighting how multi-omic profiling facilitates personalised therapy approaches. Recent breakthroughs in reprogramming immune responses and editing driver mutations have revolutionized therapeutic paradigms. Additionally, the metabolic dependencies of cancer cells, particularly in amino acid biosynthesis and catabolism, offer novel vulnerabilities. This meticulous synthesis outlines a framework for translational techniques that integrate molecular targeting with immunological and metabolic regulation to improve treatment effectiveness and surmount therapeutic resistance in haematologic malignancies.
Indexed as
Identifiers
What Socratic holds
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 Socratic graph.