ReviewInternational journal of molecular sciences2026
Hematopoietic Aging and Leukemia: Mechanistic and Therapeutic Insights.
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. Not yet cited in PubMed.
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.
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Who cites it
0 citing papers in PubMed.
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aging profoundly alters hematopoiesis by impairing stem cell self-renewal, skewing lineage differentiation, and remodeling immune and stromal compartments within the bone marrow. Consequently, these changes contribute to an increased susceptibility to leukemia. Conversely, leukemia contributes to systemic aging. Although the connection between hematopoietic aging and leukemogenesis has been well-recognized, the precise molecular and microenvironmental mechanisms underlying this association remain poorly elucidated. In recent years, emerging studies have identified altered clonal dynamics, chronic inflammation, and niche-dependent metabolic remodeling as major contributors to malignant transformation. Building on these findings, we synthesize current insights into how aging reprograms the hematopoietic ecosystem to promote leukemic initiation and progression, and furthermore, discuss potential strategies to counteract these processes by targeting aging-related pathways.
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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.