Evidence map›Paper›PMID 25119862›Full record

ReviewInternational journal of molecular sciences2014

Current status of long non-coding RNAs in human cancer with specific focus on colorectal cancer.

Maria Smolle, Stefan Uranitsch, Armin Gerger, Martin Pichler, Johannes Haybaeck

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 38 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
38citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 17% 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

38 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  4. Epigenetic regulation of gastrointestinal cancers mediated by long non-coding RNAs.Cancer biomarkers : section A of Disease markers · 2022
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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

5 authors at 2 institutions in 1 country.

Maria SmolleInstitute of Pathology, Medical University Graz, Auenbruggerplatz 25, A-8036 Graz, Austria. maria.smolle@stud.medunigraz.at.
Stefan UranitschDepartment of Surgery, St John of God Hospital Graz, Marschallgasse 12, A-8020 Graz, Austria. Stefan.Uranitsch@bbgraz.at.
Armin GergerDivision of Oncology, Medical University Graz, Auenbruggerplatz 15, A-8036 Graz, Austria. armin.gerger@medunigraz.at.
Martin PichlerDivision of Oncology, Medical University Graz, Auenbruggerplatz 15, A-8036 Graz, Austria. martin.pichler@medunigraz.at.
Johannes HaybaeckInstitute of Pathology, Medical University Graz, Auenbruggerplatz 25, A-8036 Graz, Austria. johannes.haybaeck@medunigraz.at.
Medical University of Graz · ATHospital of the Brothers of St. John of God · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The latest investigations of long non-coding RNAs (lncRNAs) have revealed their important role in human cancers. LncRNAs are larger than 200 nucleotides in length and fulfill their cellular purpose without being translated into proteins. Though the molecular functions of some lncRNAs have been elucidated, there is still a high number of lncRNAs with unknown or controversial functions. In this review, we provide an overview of different lncRNAs and their role in human cancers. In particular, we emphasize their importance in tumorigenesis of colorectal cancer, the third most common cancer worldwide.

Indexed as

Biomarkers, TumorCarcinoembryonic AntigenColorectal NeoplasmsHumansNeoplasmsNeoplasm StagingRNA, Long NoncodingBiomarkers, TumorCarcinoembryonic AntigenRNA, Long Noncoding

Identifiers

PMID25119862
PMCPMC4159835
OpenAlexW1981438503

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.