Evidence map›Paper›PMID 28107482›Full record

ArticlePloS one2017

A Circulating microRNA Signature Predicts Age-Based Development of Lymphoma.

Afshin Beheshti, Charles Vanderburg, J Tyson McDonald, Charusheila Ramkumar, Tatenda Kadungure, Hong Zhang, Ronald B Gartenhaus, Andrew M Evens

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.0field-weighted citation impact, top 29% 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

13 citing papers in PubMed, 21 citations in OpenAlex.

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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

8 authors at 5 institutions in 1 country.

Afshin BeheshtiDivision of Hematology/Oncology, Molecular Oncology Research Institute, Tufts Medical Center, Boston, Massachusetts, United States of America.
Charles VanderburgHarvard NeuroDiscovery Center, Massachusetts General Hospital, Boston, Massachusetts, United States of America.
J Tyson McDonaldCancer Research Center, Hampton University, Hampton, Virginia, United States of America.
Charusheila RamkumarDepartment of Cell Biology and Development, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Tatenda KadungureDepartment of Cell Biology and Development, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Hong ZhangDepartment of Cell Biology and Development, University of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Ronald B GartenhausMarlene & Stewart Greenebaum Cancer Center, Department of Medicine, University of Maryland, Baltimore, Maryland, United States of America.
Andrew M EvensDivision of Hematology/Oncology, Molecular Oncology Research Institute, Tufts Medical Center, Boston, Massachusetts, United States of America.
University of Massachusetts Chan Medical School · USMolecular Oncology (United States) · USHampton University · USHarvard NeuroDiscovery Center · USUniversity of Maryland, Baltimore · US

Funding

MAP Kinase Signaling in Lymphoma: A Novel Therapeutic ParadigmR01CA164311 · NCI · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI EVENS, ANDREW M, GARTENHAUS, RONALD B · 2012 to 2015
$1.4M
Lymphoma development in the elderly: Perturbed posttranscriptional regulationI01BX002990 · VA · VA VETERANS ADMINISTRATION HOSPITAL · PI GARTENHAUS, RONALD B · 2016 to 2019
–
BLRD VA I01 BX002990NCI NIH HHS R01 CA164311
6 · The paper itself

Abstract

Extensive epidemiological data have demonstrated an exponential rise in the incidence of non-Hodgkin lymphoma (NHL) that is associated with increasing age. The molecular etiology of this remains largely unknown, which impacts the effectiveness of treatment for patients. We proposed that age-dependent circulating microRNA (miRNA) signatures in the host influence diffuse large B cell lymphoma (DLBCL) development. Our objective was to examine tumor development in an age-based DLBCL system using an inventive systems biology approach. We harnessed a novel murine model of spontaneous DLBCL initiation (Smurf2-deficient) at two age groups: 3 and 15 months old. All Smurf2-deficient mice develop visible DLBCL tumor starting at 15 months of age. Total miRNA was isolated from serum, bone marrow and spleen and were collected for all age groups for Smurf2-deficient mice and age-matched wild-type C57BL/6 mice. Using systems biology techniques, we identified a list of 10 circulating miRNAs being regulated in both the spleen and bone marrow that were present in DLBCL forming mice starting at 3 months of age that were not present in the control mice. Furthermore, this miRNA signature was found to occur circulating in the blood and it strongly impacted JUN and MYC oncogenic signaling. In addition, quantification of the miRNA signature was performed via Droplet Digital PCR technology. It was discovered that a key miRNA signature circulates throughout a host prior to the formation of a tumor starting at 3 months old, which becomes further modulated by age and yielded calculation of a 'carcinogenic risk score'. This novel age-based circulating miRNA signature may potentially be leveraged as a DLBCL risk profile at a young age to predict future lymphoma development or disease progression as well as for potential innovative miRNA-based targeted therapeutic strategies in lymphoma.

Indexed as

Age FactorsAnimalsBlotting, WesternBone MarrowGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLymphoma, Large B-Cell, DiffuseMice, Inbred C57BLMicroRNAsPolymerase Chain ReactionSpleenUbiquitin-Protein LigasesMicroRNAsSmurf2 protein, mouseUbiquitin-Protein Ligases

Identifiers

PMID28107482
PMCPMC5249061
OpenAlexW2573002484

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.