Evidence map›Paper›PMID 29779016›Full record

ArticleAging2018

Integrated analysis of colorectal cancer microRNA datasets: identification of microRNAs associated with tumor development.

Luca Falzone, Letizia Scola, Antonino Zanghì, Antonio Biondi, Antonio Di Cataldo, Massimo Libra, Saverio Candido

Abstract read
In one paragraph

Article in Aging, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 100 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
100citing 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

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

  1. Pooled it
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  14. Oncology letters · 2023
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40 more citing papers are in PubMed but not listed here.

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

7 authors.

Luca Falzone *Department of Biomedical and Biotechnological Sciences, University of Catania, Catania 95123, Italy.
Letizia Scola *Department of Pathobiology and Medical Biotechnologies, University of Palermo, Palermo 90127, Italy.
Antonino ZanghìDepartment of Medical and Surgical Sciences and Advanced Technology "G.F. Ingrassia", University of Catania, Catania 95125, Italy.
Antonio BiondiDepartment of General Surgery, Vittorio Emanuele Hospital, University of Catania, Catania 95124, Italy.
Antonio Di CataldoDepartment of Medical and Surgical Sciences and Advanced Technology "G.F. Ingrassia", University of Catania, Catania 95125, Italy.
Massimo LibraDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania 95123, Italy.
Saverio CandidoDepartment of Biomedical and Biotechnological Sciences, University of Catania, Catania 95123, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the leading cause of cancer death worldwide. Currently, no effective early diagnostic biomarkers are available for colorectal carcinoma. Therefore, there is a need to discover new molecules able to identify pre-cancerous lesions. Recently, microRNAs (miRNAs) have been associated with the onset of specific pathologies, thus the identification of miRNAs associated to colorectal cancer may be used to detect this pathology at early stages. On these bases, the expression levels of miRNAs were analyzed to compare the miRNAs expression levels of colorectal cancer samples and normal tissues in several miRNA datasets. This analysis revealed a group of 19 differentially expressed miRNAs. To establish the interaction between miRNAs and the most altered genes in CRC, the mirDIP gene target analysis was performed in such group of 19 differentially expressed miRNAs. To recognize miRNAs able to activate or inhibit genes and pathways involved in colorectal cancer development DIANA-mirPath prediction analysis was applied. Overall, these analyses showed that the up-regulated hsa-miR-183-5p and hsa-miR-21-5p, and the down-regulated hsa-miR-195-5p and hsa-miR-497-5p were directly related to colorectal cancer through the interaction with the Mismatch Repair pathway and Wnt, RAS, MAPK, PI3K, TGF-β and p53 signaling pathways involved in cancer development.

Indexed as

TranscriptomeColorectal NeoplasmsDatasets as TopicHumansMicroRNAsMicroRNAsbioinformaticsbiomarkercolorectal cancerdatasetmicroRNA

Identifiers

PMID29779016
PMCPMC5990389

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.