Evidence map›Paper›PMID 31681586›Full record

ReviewFrontiers in oncology2019

Long Non-coding RNAs in Myeloid Malignancies.

Alina-Andreea Zimta, Ciprian Tomuleasa, Iman Sahnoune, George A Calin, Ioana Berindan-Neagoe

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed
7.3field-weighted citation impact, top 2% of its field
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

39 citing papers in PubMed, 117 citations in OpenAlex.

  1. Trial
  2. Article
  3. Article
  4. Editorial: Long noncoding RNAs in cancer.Frontiers in oncology · 2026
    Article
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  6. Review
  7. Article
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  9. Review
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  17. Epigenetic reprogramming in cancer: From diagnosis to treatment.Frontiers in cell and developmental biology · 2023
    Review
  18. Review
  19. Review
  20. 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

5 authors at 2 institutions in 2 countries.

Alina-Andreea ZimtaMedFuture - Research Center for Advanced Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Ciprian TomuleasaDepartment of Hematology, Research Center for Functional Genomics and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Iman SahnouneDepartment of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
George A CalinDepartment of Experimental Therapeutics, The University of Texas MD Anderson Cancer Center, Houston, TX, United States.
Ioana Berindan-NeagoeMedFuture - Research Center for Advanced Medicine, Research Center for Functional Genomics and Translational Medicine, Iuliu Hatieganu University of Medicine and Pharmacy, Cluj-Napoca, Romania.
Iuliu Hațieganu University of Medicine and Pharmacy · ROThe University of Texas MD Anderson Cancer Center · US

Funding

UPR/MDACC Partnership for Excellence in Cancer Research(Parent Grant U54 CA096297)U54CA096297 · NCI · UNIVERSITY OF PUERTO RICO MED SCIENCES · PI Ilka C Rios · 2002 to 2026
$36.9M
UPR/MDACC Partnership for Excellence in Cancer Research (Luis Segarra supplement)U54CA096300 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Larkin Strong · 2002 to 2026
$23.8M
Novel extra cellular RNA-based combinatorial RNA inhibition therapyUH3TR000943 · NCATS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CALIN, GEORGE A., LOPEZ-BERESTEIN, GABRIEL · 2015 to 2017
$3.2M
Protein-coding and non-coding RNA biomarkers for early detection of CLLR01CA182905 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ABRUZZO, LYNNE V., CALIN, GEORGE A. · 2014 to 2018
$2.9M
miR-155 targeted therapeutics for precision medicine in lung cancerR01CA222007 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CALIN, GEORGE A., CRISTINI, VITTORIO · 2018 to 2022
$2.6M
Viral miRs and cellular miRs in sepsisR01GM122775 · NIGMS · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CALIN, GEORGE A., LUPU, FLOREA · 2018 to 2020
$1.1M
NCATS NIH HHS UH3 TR000943NCI NIH HHS R01 CA182905NCI NIH HHS R01 CA222007NCI NIH HHS U54 CA096297NCI NIH HHS U54 CA096300NIGMS NIH HHS R01 GM122775
6 · The paper itself

Abstract

Acute myeloid leukemia (AML) represents 80% of adult leukemias and 15-20% of childhood leukemias. AML are characterized by the presence of 20% blasts or more in the bone marrow, or defining cytogenetic abnormalities. Laboratory diagnoses of myelodysplastic syndromes (MDS) depend on morphological changes based on dysplasia in peripheral blood and bone marrow, including peripheral blood smears, bone marrow aspirate smears, and bone marrow biopsies. As leukemic cells are not functional, the patient develops anemia, neutropenia, and thrombocytopenia, leading to fatigue, recurrent infections, and hemorrhage. The genetic background and associated mutations in AML blasts determine the clinical course of the disease. Over the last decade, non-coding RNAs transcripts that do not codify for proteins but play a role in regulation of functions have been shown to have multiple applications in the diagnosis, prognosis and therapeutic approach of various types of cancers, including myeloid malignancies. After a comprehensive review of current literature, we found reports of multiple long non-coding RNAs (lncRNAs) that can differentiate between AML types and how their exogenous modulation can dramatically change the behavior of AML cells. These lncRNAs include: H19, LINC00877, RP11-84C10, CRINDE, RP11848P1.3, ZNF667-AS1, AC111000.4-202, SFMBT2, LINC02082-201, MEG3, AC009495.2, PVT1, HOTTIP, SNHG5, and CCAT1. In addition, by performing an analysis on available AML data in The Cancer Genome Atlas (TCGA), we found 10 lncRNAs with significantly differential expression between patients in favorable, intermediate/normal, or poor cytogenetic risk categories. These are: DANCR, PRDM16-DT, SNHG6, OIP5-AS1, SNHG16, JPX, FTX, KCNQ1OT1, TP73-AS1, and GAS5. The identification of a molecular signature based on lncRNAs has the potential for have deep clinical significance, as it could potentially help better define the evolution from low-grade MDS to high-grade MDS to AML, changing the course of therapy. This would allow clinicians to provide a more personalized, patient-tailored therapeutic approach, moving from transfusion-based therapy, as is the case for low-grade MDS, to the introduction of azacytidine-based chemotherapy or allogeneic stem cell transplantation, which is the current treatment for high-grade MDS.

Indexed as

clinical impactdiagnostic toolmyeloid malignanciesnon-coding RNAsprognostic tools

Identifiers

PMID31681586
PMCPMC6813191
OpenAlexW2980984315

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.