Evidence map›Paper›PMID 26078336›Full record

ArticleOncotarget2015

Longitudinal study on circulating miRNAs in patients after lung cancer resection.

Petra Leidinger, Valentina Galata, Christina Backes, Cord Stähler, Stefanie Rheinheimer, Hanno Huwer, Eckart Meese, Andreas Keller

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing 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

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

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  11. miR-34a as hub of T cell regulation networks.Journal for immunotherapy of cancer · 2019
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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.

Petra LeidingerDepartment of Human Genetics, Saarland University, Homburg, Germany.
Valentina GalataChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Christina BackesChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.
Cord StählerSiemens AG, Strategy Division, Erlangen, Germany.
Stefanie RheinheimerDepartment of Human Genetics, Saarland University, Homburg, Germany.
Hanno HuwerDepartment of Cardiothoracic Surgery, Heart Center, Völklingen, Germany.
Eckart MeeseDepartment of Human Genetics, Saarland University, Homburg, Germany.
Andreas KellerChair for Clinical Bioinformatics, Saarland University, Saarbrücken, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There is an urgent need of comprehensive longitudinal analyses of circulating miRNA patterns to identify dynamic changes of miRNAs in cancer patients after surgery. Here we provide longitudinal analysis of 1,205 miRNAs in plasma samples of 26 patients after lung cancer resection at 8 time points over a period of 18 months and compare them to 12 control patients. First, we report longitudinal changes with respect to the number of detected miRNAs over time and identified a significantly increased number of miRNAs in patients developing metastases (p = 0.0096). A quantitative analysis with respect to the expression level of the detected miRNAs revealed more significant changes in the miRNA levels in samples from patients without metastases compared to the non-cancer control patients. This analysis provided further evidence of miRNA plasma levels that are changing over time after tumor resection and correlate to patient outcome. Especially hsa-miR-197 could be validated by qRT-PCR as prognostic marker. Also for this miRNA, patients developing metastases had levels close to that of controls while patients that did not develop metastases showed a significant up-regulation.In conclusion, our data indicate that the overall miRNome of a patient that later develops metastases is less affected by surgery than the miRNome of a patient who does not show metastases. The relationship between altered plasma levels of specific miRNAs with the development of metastases would partially have gone undetected by an analysis at a single time point only.

Indexed as

AdultAgedBiomarkers, TumorCarcinoma, Non-Small-Cell LungFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumansLongitudinal StudiesLung NeoplasmsMaleMicroRNAsMiddle AgedNeoplasm MetastasisBiomarkers, TumorMicroRNAsfollow-uplung cancermetastasesmicroRNAplasma

Identifiers

PMID26078336
PMCPMC4599298

What OpenQuestion holds

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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.