Evidence map›Paper›PMID 25707497›Full record

Trial reportCancer science2015

Prediction of desmoid tumor progression using miRNA expression profiling.

Armelle Dufresne, Marie Paturel, Laurent Alberti, Heloise Philippon, Adeline Duc, Anne-Valerie Decouvelaere, Philippe Cassier, Jean-Yves Blay

Open access · goldAbstract readClinical Trial, Phase IClinical Trial, Phase II
In one paragraph

Trial report in Cancer science, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.6field-weighted citation impact, top 18% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Desmoid-Type Fibromatosis: Who, When, and How to Treat.Current treatment options in oncology · 2017
    Review
  6. Article
  7. Current Update on Desmoid Fibromatosis.Journal of computer assisted tomography
    Review
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 4 institutions in 1 country.

Armelle DufresneTeam 11 of the Cancer Research Center of Lyon, Institute of Health and Medical Research (INSERM U1052-CNRS 5286), Lyon, France.
Marie PaturelTeam 11 of the Cancer Research Center of Lyon, Institute of Health and Medical Research (INSERM U1052-CNRS 5286), Lyon, France.
Laurent AlbertiTeam 11 of the Cancer Research Center of Lyon, Institute of Health and Medical Research (INSERM U1052-CNRS 5286), Lyon, France.
Heloise PhilipponTeam 11 of the Cancer Research Center of Lyon, Institute of Health and Medical Research (INSERM U1052-CNRS 5286), Lyon, France.
Adeline DucTeam 11 of the Cancer Research Center of Lyon, Institute of Health and Medical Research (INSERM U1052-CNRS 5286), Lyon, France.
Anne-Valerie DecouvelaereDepartment of Pathology, Leon Berard Cancer Center, Lyon, France.
Philippe CassierDepartment of Medical Oncology, Leon Berard Cancer Center, Lyon, France.
Jean-Yves BlayTeam 11 of the Cancer Research Center of Lyon, Institute of Health and Medical Research (INSERM U1052-CNRS 5286), Lyon, France.
Centre de Recherche en Cancérologie de Lyon · FRUniversité Claude Bernard Lyon 1 · FRCentre National de la Recherche Scientifique · FRInserm · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Desmoid tumor is a rare connective tissue tumor with locoregional aggressiveness but unpredictable behavior. The miRNA profile was ascertained for 26 patients included in the Desminib phase II trial and an independent validation cohort of 15 patients. Predictive and prognostic supervised analysis on the Desminib cohort failed to identify miRNAs differentially expressed between progressive and non-progressive patients under imatinib treatment or between progressive and non-progressive patients after discontinuation of imatinib. However, an unsupervised hierarchical clustering of the Desminib cohort identified two groups (A and B) of 13 patients each, where only the number of previous lines of treatment before inclusion in the study differed significantly between the two groups. Time to progression after discontinuation of imatinib was longer in group B than in group A. Fifteen miRNAs were highly statistically differentially expressed between groups A and B, targeting more than 3000 genes, including AGO1, BCL2, CDK6, SMAD4, PTEN, CCND1, VEGFA, and RB1. These results were confirmed in the independent validation cohort: hierarchical clustering of these 15 miRNAs identified two groups, in which time to recurrence was statistically different (28.8 months vs 68.8 months). These results provide the first indication of the prognostic value of miRNA expression profiling with a possible direct impact on patient management. A more precise miRNA signature must now be determined to select patients who would not benefit from surgical resection of their tumor and who ought to be monitored without treatment.

Indexed as

Gene Expression ProfilingAbdominal NeoplasmsAdultAgedBenzamidesBiomarkers, TumorDesmoid TumorsFemaleGene Expression Regulation, NeoplasticHumansImatinib MesylateLogistic ModelsMaleMicroRNAsMiddle AgedPiperazinesBenzamidesBiomarkers, TumorImatinib MesylateMicroRNAsPiperazinesPyrimidinesAggressive fibromatosisdesmoid tumorimatinibmiRNAprognosis

Identifiers

PMID25707497
PMCPMC4452168
OpenAlexW1971488125

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.