Evidence mapPaperPMID 40981387Full record

ReviewNon-coding RNA2025

Role of Non-coding RNAs in Acute Myeloid Leukemia.

Shailendra S Maurya, Sarita Maurya, Sumit K Chaturvedi

Abstract readReview
In one paragraph

Review in Non-coding RNA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Review
  3. Special Issue "Molecular Progression in Genome-Related Diseases".International journal of molecular sciences · 2026
    Article
  4. Article
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.

Shailendra S MauryaChromatin Architecture laboratory, Department of Hematology (SCRC), Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, India.ORCID 0000-0001-8337-0071
Sarita MauryaChromatin Architecture laboratory, Department of Hematology (SCRC), Sanjay Gandhi Postgraduate Institute of Medical Sciences, Lucknow 226014, India.ORCID 0000-0002-0369-914X
Sumit K ChaturvediDepartment of Biophysics, University of Delhi South Campus, New Delhi 110021, India.ORCID 0000-0003-3600-8883

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Acute myeloid leukemia (AML) is a highly heterogeneous disease, with significantly higher incidence and fatality rates in the elderly. Even with recent decades of research progress in AML, the exact etiology of this deadly disease is still not fully understood, with recent advancements in sequencing technologies highlighting the role of a growing number of non-coding RNAs (ncRNAs) that are intimately associated with AML leukemogenesis. These ncRNAs have been found to have a significant role in leukemia-related cellular processes such as cell division, proliferation, and death. A few of these non-coding RNAs exhibit potential as prognostic biomarkers. The three main groups of ncRNAs that contribute unique activities, especially in cancer, are microRNAs (miRNAs), long non-coding RNAs (lncRNAs), and circular RNAs (circRNAs). Their existence or altered expression levels frequently offer vital information on the diagnosis, course of treatment, and follow-up of cancer patients. The identification of ncRNAs has opened up new avenues for the diagnosis, prognosis, and therapy of acute myeloid leukemia. In order to provide a clear understanding of the significant influence that lncRNAs have on prognostic predictions and diagnostic accuracy in AML, this review aims to provide a comprehensive and insightful understanding of how these molecules actively participate in the complex landscape of the disease.

Indexed as

AML: acute myeloid leukemiacirc: circularlncRNA: long non-coding RNAncRNAs: non-coding RNA

Identifiers

PMID40981387
PMCPMC12478048

What Socratic holds

Textmetadata
LicenceCC BY
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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 Socratic graph.