Evidence map›Paper›PMID 31238586›Full record

ArticleCancers2019

Molecular Comparison of Imatinib-Naïve and Resistant Gastrointestinal Stromal Tumors: Differentially Expressed microRNAs and mRNAs.

Azadeh Amirnasr, Caroline M M Gits, Patricia F van Kuijk, Marcel Smid, Anne L M Vriends, Piotr Rutkowski, Raf Sciot, Patrick Schöffski, Maria Debiec-Rychter, Stefan Sleijfer and 1 more

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.5field-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

8 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Noncoding RNAs in Drug Resistance of Gastrointestinal Stromal Tumor.Frontiers in cell and developmental biology · 2022
    Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. 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

11 authors at 3 institutions in 3 countries.

Azadeh AmirnasrDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands. a.amirnasr@erasmusmc.nl.
Caroline M M GitsDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands. carolinegits@hotmail.com.
Patricia F van KuijkDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands. p.vankuijk@erasmusmc.nl.
Marcel SmidDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands. m.smid@erasmusmc.nl.
Anne L M VriendsDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands. a.vriends@erasmusmc.nl.
Piotr RutkowskiDepartment of Soft Tissue/Bone Sarcoma and Melanoma, Marie Skłodowska-Curie Institute-Oncology Center, 00-001 Warsaw, Poland. piotr.rutkowski@coi.pl.
Raf SciotDepartment of Pathology, KU Leuven and University Hospitals Leuven, 3000 Leuven, Belgium. raf.sciot@uzleuven.be.
Patrick SchöffskiDepartment of General Medical Oncology, Leuven Cancer Institute, University Hospitals Leuven, KU Leuven, 3000 Leuven, Belgium. patrick.schoffski@uzleuven.be.
Maria Debiec-RychterDepartment of Human Genetics, KU Leuven and University Hospitals Leuven, 3000 Leuven, Belgium. maria.debiec-rychter@kuleuven.be.
Stefan SleijferDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands. s.sleijfer@erasmusmc.nl.
Erik A C WiemerDepartment of Medical Oncology, Erasmus MC Cancer Institute, Erasmus University Medical Center, 3015 CN Rotterdam, The Netherlands. e.wiemer@erasmusmc.nl.
Erasmus MC · NLKU Leuven · BEThe Maria Sklodowska-Curie National Research Institute of Oncology · PL

Funding

EC FP6 CONTICANET LSHC-CT-2005-018806
6 · The paper itself

Abstract

Despite the success of imatinib in advanced gastrointestinal stromal tumor (GIST) patients, 50% of the patients experience resistance within two years of treatment underscoring the need to get better insight into the mechanisms conferring imatinib resistance. Here the microRNA and mRNA expression profiles in primary (imatinib-naïve) and imatinib-resistant GIST were examined. Fifty-three GIST samples harboring primary KIT mutations (exon 9; n = 11/exon 11; n = 41/exon 17; n = 1) and comprising imatinib-naïve (IM-n) (n = 33) and imatinib-resistant (IM-r) (n = 20) tumors, were analyzed. The microRNA expression profiles were determined and from a subset (IM-n, n = 14; IM-r, n = 15) the mRNA expression profile was established. Ingenuity pathway analyses were used to unravel biochemical pathways and gene networks in IM-r GIST. Thirty-five differentially expressed miRNAs between IM-n and IM-r GIST samples were identified. Additionally, miRNAs distinguished IM-r samples with and without secondary KIT mutations. Furthermore 352 aberrantly expressed genes were found in IM-r samples. Pathway and network analyses revealed an association of differentially expressed genes with cell cycle progression and cellular proliferation, thereby implicating genes and pathways involved in imatinib resistance in GIST. Differentially expressed miRNAs and mRNAs between IM-n and IM-r GIST were identified. Bioinformatic analyses provided insight into the genes and biochemical pathways involved in imatinib-resistance and highlighted key genes that may be putative treatment targets.

Indexed as

drug resistancegene networksGISTimatinibIPA pathway analysismiRNAmRNA expression

Identifiers

PMID31238586
PMCPMC6627192
OpenAlexW2952273636

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.