ArticleJournal of clinical oncology : official journal of the American Society of Clinical Oncology2026
Molecular-Based Ecosystem to Improve Personalized Medicine in Chronic Myelomonocytic Leukemia.
Article in Journal of clinical oncology : official journal of the American Society of Clinical Oncology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
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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
2 citing papers in PubMed.
- Risk-Adjusted Comparison of Survival in Chronic Myelomonocytic Leukemia With and Without Allogeneic Stem Cell Transplant: Mayo Clinic Experience in 775 Consecutive Patients.American journal of hematology · 2026Article
- Chronic Myelomonocytic Leukemia: History, Pathobiology, Diagnostic Controversies, and Evolving Classification.Current hematologic malignancy reports · 2026Review
Corrections and comments
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Authors and funding
51 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeChronic myelomonocytic leukemia (CMML) is a rare myeloid neoplasm characterized by clinical heterogeneity and is associated with poor outcomes. To date, limited molecular information has been incorporated into disease classification and risk stratification. We aimed to integrate genomic features into the clinical decision-making process for CMML. PATIENTS AND
methodsWe analyzed a retrospective cohort of 3013 patients with CMML (training set) and a prospective population of 516 patients (validation set). Using an innovative framework for multimodal data analysis, we developed molecular-based disease taxonomy and prognostication.
resultsUnsupervised clustering identified nine entities with distinct genomic features and outcomes (
conclusionMolecular information improves CMML classification and prognostication, supports more effective clinical decision making, and potentially refines the design of clinical trials.
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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 Socratic graph.