Evidence map›Paper›PMID 24475095›Full record

ArticlePloS one2014

Identification of tissue microRNAs predictive of sunitinib activity in patients with metastatic renal cell carcinoma.

Celia Prior, Jose Luis Perez-Gracia, Jesus Garcia-Donas, Cristina Rodriguez-Antona, Elizabeth Guruceaga, Emilio Esteban, Cristina Suarez, Daniel Castellano, Aránzazu González del Alba, Maria Dolores Lozano and 14 more

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 1 pooled it
8.7field-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

53 citing papers in PubMed, 1 synthesis or guideline pooled it, 81 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

24 authors at 16 institutions in 1 country.

Celia PriorOncology Division, CIMA, University of Navarra, Pamplona, Spain.
Jose Luis Perez-GraciaOncology Department, Clinica Universidad de Navarra, Pamplona, Spain.
Jesus Garcia-DonasFundacion Hospital de Alcorcon, Madrid, Spain.
Cristina Rodriguez-AntonaHuman Cancer Genetics Programme, CNIO, Madrid, Spain.
Elizabeth GuruceagaProteomics, Genomics and Bioinformatics Unit, CIMA, University of Navarra, Pamplona, Spain.
Emilio EstebanMedical Oncology Department, Hospital Universitario Central de Asturias, Oviedo, Spain.
Cristina SuarezMedical Oncology Department, Hospital Universitario Vall de Hebron, Barcelona, Spain.
Daniel CastellanoMedical Oncology Department, Hospital Universitario 12 de Octubre, Madrid, Spain.
Aránzazu González del AlbaMedical Oncology Department, Hospital Universitario Son Espases, Palma de Mallorca, Spain.
Maria Dolores LozanoPathology Department, University Clinic of Navarra, University of Navarra, Pamplona, Spain.
Joan CarlesMedical Oncology Department, Hospital Universitario Vall de Hebron, Barcelona, Spain.
Miguel Angel ClimentMedical Oncology Department, Instituto Valenciano de Oncología, Valencia, Spain.
Jose Angel ArranzMedical Oncology Department, Hospital Universitario Gregorio Marañon, Madrid, Spain.
Enrique GallardoMedical Oncology Department, Parc Taulí Sabadell Hospital Universitari, Sabadell, Spain.
Javier PuenteMedical Oncology Department, Hospital Clinico Universitario San Carlos, Madrid, Spain.
Joaquim BellmuntMedical Oncology Department, University Hospital del Mar, Barcelona, Spain.
Alfonso GurpideOncology Department, Clinica Universidad de Navarra, Pamplona, Spain.
Jose Maria Lopez-PicazoOncology Department, Clinica Universidad de Navarra, Pamplona, Spain.
Alvaro Gonzalez HernandezBiochemistry Department, Clinica Universidad de Navarra, Pamplona, Spain.
Begoña MelladoMedical Oncology Department, IDIBAPS, Hospital Clinic, Barcelona, Spain.
Esther MartínezMedical Oncology Department, Hospital de Jaen, Jaen, Spain.
Fernando MorenoMedical Oncology Department, Hospital Clinico Universitario San Carlos, Madrid, Spain.
Albert FontMedical Oncology Service, Institut Català d'Oncologia, Hospital Germans Trias i Pujol, Badalona, Spain.
Alfonso CalvoOncology Division, CIMA, University of Navarra, Pamplona, Spain.
Clinica Universidad de Navarra · ESUniversidad de Navarra · ESHospital Clínico San Carlos · ESVall d'Hebron Hospital Universitari · ESComplejo Hospitalario de Jaén · ESCorporació Sanitària Parc Taulí · ESFundación Instituto Valenciano de Oncología · ESHospital Clínic de Barcelona · ESHospital Del Mar · ESHospital General Universitario Gregorio Marañón · ESHospital Universitario 12 De Octubre · ESHospital Universitario Central de Asturias · ESHospital Universitario Fundación Alcorcón · ESHospital Universitario Son Espases · ESInstitut Català d'Oncologia · ESSpanish National Cancer Research Centre · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo identify tissue microRNAs predictive of sunitinib activity in patients with metastatic renal-cell-carcinoma (MRCC) and to evaluate in vitro their mechanism of action in sunitinib resistance.

methodsWe screened 673 microRNAs using TaqMan Low-density-Arrays (TLDAs) in tumors from MRCC patients with extreme phenotypes of marked efficacy and resistance to sunitinib, selected from an identification cohort (n = 41). The most relevant differentially expressed microRNAs were selected using bioinformatics-based target prediction analysis and quantified by qRT-PCR in tumors from patients presenting similar phenotypes selected from an independent cohort (n = 101). In vitro experiments were conducted to study the role of miR-942 in sunitinib resistance.

resultsTLDAs identified 64 microRNAs differentially expressed in the identification cohort. Seven candidates were quantified by qRT-PCR in the independent series. MiR-942 was the most accurate predictor of sunitinib efficacy (p = 0.0074). High expression of miR-942, miR-628-5p, miR-133a, and miR-484 was significantly associated with decreased time to progression and overall survival. These microRNAs were also overexpressed in the sunitinib resistant cell line Caki-2 in comparison with the sensitive cell line. MiR-942 overexpression in Caki-2 up-regulates MMP-9 and VEGF secretion which, in turn, promote HBMEC endothelial migration and sunitinib resistance.

conclusionsWe identified differentially expressed microRNAs in MRCC patients presenting marked sensitivity or resistance to sunitinib. MiR-942 was the best predictor of efficacy. We describe a novel paracrine mechanism through which high miR-942 levels in MRCC cells up-regulates MMP-9 and VEGF secretion to enhance endothelial migration and sunitinib resistance. Our results support further validation of these miRNA in clinical confirmatory studies.

Indexed as

AdultAgedAged, 80 and overAntineoplastic AgentsCarcinoma, Renal CellCell Line, TumorDrug Resistance, NeoplasmFemaleGene Expression ProfilingHumansIndolesKidney NeoplasmsMaleMatrix Metalloproteinase 9MicroRNAsMiddle AgedAntineoplastic AgentsIndolesMatrix Metalloproteinase 9MicroRNAsPyrrolesSunitinibVascular Endothelial Growth Factor A

Identifiers

PMID24475095
PMCPMC3901669
OpenAlexW2143254802

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LicenceCC BY
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Registered trials

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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.