Evidence map›Paper›PMID 29981854›Full record

ArticleGenomics, proteomics & bioinformatics2018

Genome-wide MicroRNA Expression Profiles in COPD: Early Predictors for Cancer Development.

Andreas Keller, Tobias Fehlmann, Nicole Ludwig, Mustafa Kahraman, Thomas Laufer, Christina Backes, Claus Vogelmeier, Caroline Diener, Frank Biertz, Christian Herr and 5 more

Registry-linked trialOpen access · goldAbstract read
In one paragraph

Article in Genomics, proteomics & bioinformatics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT01245933 (Impact of Systemic Manifestations/Comorbidities on Clinical State, Prognosis and Utilisation of Health Care Resources in Patients With COPD), which is not on this map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
3.8field-weighted citation impact, top 6% 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.

NCT01245933 completednot on this map

Impact of Systemic Manifestations/Comorbidities on Clinical State, Prognosis and Utilisation of Health Care Resources in Patients With COPD

TypeobservationalSponsorPhilipps University MarburgRan2010 to 2023Enrolled2,741ConditionsChronic Obstructive Pulmonary Disease (COPD)
3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Mechanisms Contributing to the Comorbidity of COPD and Lung Cancer.International journal of molecular sciences · 2023
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. From COPD to Lung Cancer: Mechanisms Linking, Diagnosis, Treatment, and Prognosis.International journal of chronic obstructive pulmonary disease · 2022
    Review
  11. Article
  12. Article
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  15. Article
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  17. Review
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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 at 5 institutions in 1 country.

Andreas KellerChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany. Electronic address: andreas.keller@ccb.uni-saarland.de.
Tobias FehlmannChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Nicole LudwigDepartment of Human Genetics, Saarland University Hospital, 66421 Homburg, Germany.
Mustafa KahramanChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany; Hummingbird Diagnostics GmbH, 69120 Heidelberg, Germany.
Thomas LauferDepartment of Human Genetics, Saarland University Hospital, 66421 Homburg, Germany; Hummingbird Diagnostics GmbH, 69120 Heidelberg, Germany.
Christina BackesChair for Clinical Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Claus VogelmeierDepartment of Internal Medicine, Division for Pulmonary Diseases, Philipps University of Marburg, 35043 Marburg, Germany.
Caroline DienerDepartment of Human Genetics, Saarland University Hospital, 66421 Homburg, Germany.
Frank BiertzInstitute for Biostatistics, Hannover Medical School, 30625 Hanover, Germany.
Christian HerrDepartment of Internal Medicine V - Pulmonology, Allergology, Intensive Care Medicine, Saarland University Hospital, 66421 Homburg, Germany.
Rudolf A JörresInstitute and Outpatient Clinic for Occupational, Social and Environmental Medicine, Comprehensive Pneumology Center Munich (CPC-M), Ludwig-Maximilians-University Munich, Member of the German Center for Lung Research (DZL), 80539 Munich, Germany.
Hans-Peter LenhofChair for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany; Center for Bioinformatics, Saarland University, 66123 Saarbrücken, Germany.
Eckart MeeseDepartment of Human Genetics, Saarland University Hospital, 66421 Homburg, Germany.
Robert BalsDepartment of Internal Medicine V - Pulmonology, Allergology, Intensive Care Medicine, Saarland University Hospital, 66421 Homburg, Germany.
COSYCONET Study Group
Saarland University · DEHummingbird Diagnostics (Germany) · DEGerman Center for Lung Research · DEMedizinische Hochschule Hannover · DEPhilipps University of Marburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Chronic obstructive pulmonary disease (COPD) significantly increases the risk of developing cancer. Biomarker studies frequently follow a case-control set-up in which patients diagnosed with a disease are compared to controls. Longitudinal cohort studies such as the COPD-centered German COPD and SYstemic consequences-COmorbidities NETwork (COSYCONET) study provide the patient and biomaterial base for discovering predictive molecular markers. We asked whether microRNA (miRNA) profiles in blood collected from COPD patients prior to a tumor diagnosis could support an early diagnosis of tumor development independent of the tumor type. From 2741 participants of COSYCONET diagnosed with COPD, we selected 534 individuals including 33 patients who developed cancer during the follow-up period of 54 months and 501 patients who did not develop cancer, but had similar age, gender and smoking history. Genome-wide miRNA profiles were generated and evaluated using machine learning techniques. For patients developing cancer we identified nine miRNAs with significantly decreased abundance (two-tailed unpaired t-test adjusted for multiple testing P < 0.05), including members of the miR-320 family. The identified miRNAs regulate different cancer-related pathways including the MAPK pathway (P = 2.3 × 10

Indexed as

Gene Expression ProfilingGenome, HumanAgedBiomarkers, TumorCohort StudiesFemaleHumansMaleMicroRNAsNeoplasmsPrognosisPulmonary Disease, Chronic ObstructiveBiomarkers, TumorMicroRNAsBiomarkerCancerCOPDCOSYCONETLungmicroRNA

Identifiers

PMID29981854
PMCPMC6076380
OpenAlexW2849984630

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

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.