Evidence map›Paper›PMID 42632977›Full record

ArticleArchives of Razi Institute2025

Expression Analysis of

Aminzare Fatemeh, Mansoubi Sahar, Zare Tooranposhti Zohreh, Mohsenpour Mohaddeseh

Abstract read
In one paragraph

Article in Archives of Razi Institute, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Aminzare FatemehDepartment of Genetics, NT.C., Islamic Azad University, Tehran, Iran.
Mansoubi SaharDepartment of Genetics, NT.C., Islamic Azad University, Tehran, Iran.
Zare Tooranposhti ZohrehDepartment of Genetics, NT.C., Islamic Azad University, Tehran, Iran.
Mohsenpour MohaddesehDepartment of Microbiology, NT.C., Islamic Azad University, Tehran, Iran.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Colorectal cancer ranks among the most prevalent types of cancer across the globe, particularly in developing countries. Biomarkers like long non-coding RNAs (lncRNAs) have a key impact in early detection and personalized treatment. This study aimed to compare the expression levels of Materials & Methods: Fifty colorectal cancer tissue samples and fifty non-cancerous polyp tissues, confirmed by a gastroenterologist, were analyzed. RNA was extracted, cDNA was synthesized, and expression levels of Results: A total of 50 participants (22 men and 28 women) were enrolled, with a mean age of 62.56±16.41 years, while the control group consisted of 30 males and 20 females (mean age: 58.41±11.13 years). Expression analysis revealed significantly higher levels of both PVT- 1 lncRNA (fold change=X.X, P<0.05) and TGF-β (fold change=X.X, P<0.05) in colorectal cancer tissues compared to controls. These differences persisted despite demographic imbalances between groups. ROC curve analysis demonstrated the diagnostic potential of both biomarkers in distinguishing cancerous from non-cancerous tissues. Conclusion: Our findings suggest that

Indexed as

Colonic PolypsColorectal NeoplasmsRNA, Long NoncodingTransforming Growth Factor betaAgedCase-Control StudiesFemaleHumansMaleMiddle AgedPVT1 long-non-coding RNA, humanRNA, Long NoncodingTransforming Growth Factor betaBiomarkerColorectal cancerPVT-1 lncRNAROC curveTGF-β

Identifiers

PMID42632977
PMCPMC13498453

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.