Evidence map›Paper›PMID 41042430›Full record

ReviewCurrent hematologic malignancy reports2025

Impact of Epigenetic Mutations in Chronic Myelomonocytic Leukemia.

Jenna Fernandez, Pankaj Pradeep, Mrinal M Patnaik

Abstract readReview
PubMed Publisher
In one paragraph

Review in Current hematologic malignancy reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jenna FernandezDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA. fernandez.jenna@mayo.edu.
Pankaj PradeepDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.
Mrinal M PatnaikDivision of Hematology, Department of Internal Medicine, Mayo Clinic, Rochester, MN, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewChronic myelomonocytic leukemia (CMML) is a myelodysplastic/myeloproliferative neoplasm that is characterized by sustained monocytic proliferation, bone marrow dysplasia, and progression to acute myeloid leukemia (AML). Somatic mutations are observed in most patients, with mutations in epigenetic regulatory genes being frequent and often impacting survival outcomes. Deeper understanding of the biological impacts of these mutations has resulted in rationally derived precision therapeutics. Here, we discuss two classes of epigenetic regulator genes and describe the prevalence and impact of somatic mutations in these genes on CMML outcomes. RECENT

findingsThe increased use and availability of sequencing techniques in the clinical setting has demonstrated the prevalence of mutations in epigenetic regulator genes in CMML. This has provided additional cases to study the impact of these mutations on survival outcomes, leading to the incorporation of some of these mutations in contemporary molecular CMML prognostic models (ASXL1, TET2). Furthermore, advances in understanding epigenetic dysregulation in CMML have led to the development of emerging targeted therapies for select patients. Studying the prevalence of these mutations and their biological implications in CMML may offer an opportunity to identify genotypes likely to respond to treatment or to develop targeted mutation-specific therapies.

Indexed as

Epigenesis, GeneticLeukemia, Myelomonocytic, ChronicMutationDioxygenasesDNA-Binding ProteinsHumansPrognosisDioxygenasesDNA-Binding ProteinsTET2 protein, humanChronic myelomonocytic leukemiaDNA methylationEpigeneticsGenotype-specific therapiesHistone tail modifications

Identifiers

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.