Evidence map›Paper›PMID 36598779›Full record

ArticleInternational journal of immunopathology and pharmacology

Potential diagnostic role of circulating MiRNAs in colorectal cancer.

Dina A Abo-Elela, Ahmed Mh Salem, Menha Swellam, Marwa Ga Hegazy

Open access · goldAbstract read
In one paragraph

Article in International journal of immunopathology and pharmacology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.3field-weighted citation impact, top 8% 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

12 citing papers in PubMed, 14 citations in OpenAlex.

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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

4 authors at 2 institutions in 1 country.

Dina A Abo-ElelaBiochemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt.
Ahmed Mh SalemBiochemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt.
Menha SwellamBiochemistry Department, Biotechnology Research Institute, High Throughput Molecular and Genetic laboratory, Central Laboratories Network and the Centers of Excellence, 68787National Research Centre, Cairo, Egypt.
Marwa Ga HegazyBiochemistry Department, Faculty of Science, Ain Shams University, Cairo, Egypt.ORCID 0000-0002-6949-3304
Ain Shams University · EGNational Research Centre · EG

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesColorectal cancer (CRC) is the third most common and fourth most deadly cancer worldwide despite its various screening method. Thus, the search for novel and better markers is continuous. This study aimed to assess the combined expression levels of miR-133a, miR-574-3p, and miR-27a in early diagnosis of colorectal cancer in comparison to traditional tumor markers (CEA and CA19.9).

methodsmiR-133a, miR-574-3p, and miR-27a were assessed in sera of 120 participants categorized into healthy control group (

resultsmiR-133a, miR-574-3p, and miR-27a expressions showed significant difference among different staging, grading and tumor size of CRC. The sensitivities of the three miRNAs whether combined or individually used were better than routinely used tumor markers (CEA and CA19.9) leading to more accurate and faster diagnosis of CRC.

conclusionSynergetic detection of miRNA-133a, miRNA-574-3p, and miRNA-27a may serve as better noninvasive biomarkers with higher combined sensitivity for early diagnosis of CRC than individual detection of miRNAs.

Indexed as

Circulating MicroRNAColorectal NeoplasmsMicroRNAsBiomarkers, TumorHumansReal-Time Polymerase Chain ReactionBiomarkers, TumorCirculating MicroRNAMicroRNAsColorectal cancermiR-133amiR27amiR-574-3p

Identifiers

PMID36598779
PMCPMC9830083
OpenAlexW4313546421

What OpenQuestion holds

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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.