Evidence map›Paper›PMID 37727645›Full record

ArticleInternational journal of molecular and cellular medicine2022

Evaluation of miR-330-3p and BMI1 Expression in Colorectal Cancer Patients, Healthy Adjacent Tissues, and Polypoid Adenomatous Lesions.

Parviz Basiri, Saeid Afshar, Razieh Amini, Ali Reza Soltanian, Massoud Saidijam, Ali Mahdavinezhad

Abstract read
In one paragraph

Article in International journal of molecular and cellular medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
–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

3 citing papers in PubMed.

  1. miR-330-3p Inhibits the Development of Acute Myeloid Leukemia by Targeting SYTL4.APMIS : acta pathologica, microbiologica, et immunologica Scandinavica · 2026
    Article
  2. Colorectal Cancer: Risk Factors, Novel Approaches in Molecular Screening and Treatment.International journal of molecular and cellular medicine · 2025
    Review
  3. Evidence for a TMAO-HULC-miRNA regulatory axis in colorectal cancer cells.International journal of molecular and cellular medicine · 2025
    Article
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

6 authors.

Parviz BasiriSchool of Medicine, Hamadan University of Medical Sciences, Hamadan, Iran.
Saeid AfsharResearch Center for Molecular Medicine, Department of Molecular Medicine and Genetics, Medical School, Hamadan University of Medical Sciences, Hamadan, Iran.
Razieh AminiResearch Center for Molecular Medicine, Department of Molecular Medicine and Genetics, Medical School, Hamadan University of Medical Sciences, Hamadan, Iran.
Ali Reza SoltanianModeling of Non-Communicable Diseases Research Center, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran.
Massoud SaidijamResearch Center for Molecular Medicine, Department of Molecular Medicine and Genetics, Medical School, Hamadan University of Medical Sciences, Hamadan, Iran.
Ali MahdavinezhadResearch Center for Molecular Medicine, Department of Molecular Medicine and Genetics, Medical School, Hamadan University of Medical Sciences, Hamadan, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs) have emerged as essential gene expression regulators associated with human diseases such as colorectal cancer (CRC). The purpose of this study was to evaluate the expression of miR-330-3p and its target gene BMI1 in tissue samples of patients with CRC, polyp, and healthy adjacent tissue samples and their association with clinicopathological and demographic factors such as age

Indexed as

Adenomatous PolypsBiomarkerBMI1Colorectal neoplasmsHumanmiR-330-3p

Identifiers

PMID37727645
PMCPMC10506674

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.