Evidence map›Paper›PMID 27738339›Full record

ArticleOncotarget2016

MiR-99b-5p expression and response to tyrosine kinase inhibitor treatment in clear cell renal cell carcinoma patients.

Magdalena Lukamowicz-Rajska, Christiane Mittmann, Michael Prummer, Qing Zhong, Jens Bedke, Jörg Hennenlotter, Arnulf Stenzl, Axel Mischo, Svenja Bihr, Manuela Schmidinger and 5 more

Abstract readMulticenter StudyValidation Study
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
22citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

22 citing papers in PubMed, 1 synthesis or guideline pooled it.

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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

15 authors.

Magdalena Lukamowicz-RajskaInstitute of Surgical Pathology, University Hospital Zürich, Zurich, Switzerland.
Christiane MittmannInstitute of Surgical Pathology, University Hospital Zürich, Zurich, Switzerland.
Michael PrummerNEXUS Personalized Health Technologies, ETH Zürich, Zürich, Switzerland.
Qing ZhongInstitute of Surgical Pathology, University Hospital Zürich, Zurich, Switzerland.
Jens BedkeDepartment of Urology, University Tübingen, Tübingen, Germany.
Jörg HennenlotterDepartment of Urology, University Tübingen, Tübingen, Germany.
Arnulf StenzlDepartment of Urology, University Tübingen, Tübingen, Germany.
Axel MischoOncology Department, University Hospital Zürich, Zürich, Switzerland.
Svenja BihrOncology Department, University Hospital Zürich, Zürich, Switzerland.
Manuela SchmidingerDepartment of Internal Medicine I, Division of Oncology & Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.
Ursula VoglDepartment of Internal Medicine I, Division of Oncology & Comprehensive Cancer Center Vienna, Medical University of Vienna, Vienna, Austria.
Iris BlumeInstitute for diagnostic and interventional Radiology, University Hospital Zurich, Zürich, Switzerland.
Christoph KarloInstitute for diagnostic and interventional Radiology, University Hospital Zurich, Zürich, Switzerland.
Peter SchramlInstitute of Surgical Pathology, University Hospital Zürich, Zurich, Switzerland.
Holger MochInstitute of Surgical Pathology, University Hospital Zürich, Zurich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of treatments targeting VEGF or mTOR pathways have been approved for metastatic clear cell Renal Cell Carcinoma (ccRCC), but the majority of patients show disease progression after first line therapy with a very low rate of complete or long-term responders. It has been shown that miRs may play a role in prediction of treatment response in various cancer types. The aim of our study was to identify a miR signature predictive for RCC patients' response to antiangiogenic tyrosine kinase inhibitor (TKI) treatment in the first line therapy. Sequencing of 40 paired normal/tumor formalin fixed and paraffin embedded ccRCC tissues revealed separate clustering via unsupervised dendrograms. With supervised analysis, the strongest differential expression was obtained with miR-99b-5p, which was significantly lower in patients with short progression free survival (<8 months) and TKI non-responders (progressive disease patients according to RECIST) (p<0.0001, each). Validation using RTqPCR and a second patient cohort compiled from three different hospitals (n=65) showed higher expression of miR-99b-5p in complete responders, but this trend did not reach statistical significance. It is concluded that low miR-99b-5p expression analyzed with sequencing methodology may correlate with tumor progression in TKI-treated ccRCC patients.

Indexed as

Angiogenesis InhibitorsCarcinoma, Renal CellCirculating MicroRNADisease-Free SurvivalDisease ProgressionDrug Resistance, NeoplasmGene Expression Regulation, NeoplasticHumansKaplan-Meier EstimateKidney NeoplasmsMicroRNAsPrecision MedicinePredictive Value of TestsProportional Hazards ModelsProtein Kinase InhibitorsProtein-Tyrosine KinasesAngiogenesis InhibitorsCirculating MicroRNAMicroRNAsMIRN99 microRNA, humanProtein Kinase InhibitorsProtein-Tyrosine KinasesccRCCmicroRNAmiRrenal cancersunitinibtreatment responsetyrosine kinase inhibitors

Identifiers

PMID27738339
PMCPMC5346651

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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.