Evidence map›Paper›PMID 38390896›Full record

ArticleEpigenomes2024

Angio-Long Noncoding RNA MALAT1 (rs3200401) and MIAT (rs1061540) Gene Variants in Ovarian Cancer.

Manal S Fawzy, Afaf T Ibrahiem, Dalia Mohammad Osman, Amany I Almars, Maali Subhi Alshammari, Layan Tariq Almazyad, Noof Daif Allah Almatrafi, Renad Tariq Almazyad, Eman A Toraih

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Epigenomes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
1.4field-weighted citation impact, top 20% 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

4 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
  2. Association ofInternational journal of medical sciences · 2026
    Article
  3. Article
  4. Impacts ofCurrent issues in molecular biology · 2024
    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

9 authors at 3 institutions in 2 countries.

Manal S FawzyDepartment of Biochemistry, Faculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia.ORCID 0000-0003-1252-8403
Afaf T IbrahiemDepartment of Pathology, Faculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia.
Dalia Mohammad OsmanDepartment of Medical Laboratories Technology, Faculty of Applied Medical Sciences, Northern Border University, Arar 73213, Saudi Arabia.
Amany I AlmarsDepartment of Medical Laboratory Sciences, Faculty of Applied Medical Sciences, King Abdulaziz University, Jeddah 21589, Saudi Arabia.ORCID 0000-0001-5302-6309
Maali Subhi AlshammariFaculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia.
Layan Tariq AlmazyadFaculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia.
Noof Daif Allah AlmatrafiFaculty of Medicine, Northern Border University, Arar 73213, Saudi Arabia.
Renad Tariq AlmazyadFaculty of Applied Medical Sciences, Northern Border University, Arar 73213, Saudi Arabia.
Eman A ToraihDivision of Endocrine and Oncologic Surgery, Department of Surgery, School of Medicine, Tulane University, New Orleans, LA 70112, USA.ORCID 0000-0001-9267-3787
Northern Border University · SAKing Abdulaziz University · SATulane University · US

Funding

Northern Border University MEDA-2022-11-1742
6 · The paper itself

Abstract

The genotyping of long non-coding RNA (lncRNA)-related single-nucleotide polymorphisms (SNPs) could be associated with cancer risk and/or progression. This study aimed to analyze the angiogenesis-related lncRNAs MALAT1 (rs3200401) and MIAT (rs1061540) variants in patients with ovarian cancer (OC) using "Real-Time allelic discrimination polymerase chain reaction" in 182 formalin-fixed paraffin-embedded (FFPE) samples of benign, borderline, and primary malignant ovarian tissues. Differences in the genotype frequencies between low-grade ovarian epithelial tumors (benign/borderline) and malignant tumors and between high-grade malignant epithelial tumors and malignant epithelial tumors other than high-grade serous carcinomas were compared. Odds ratios (ORs)/95% confidence intervals were calculated as measures of the association strength. Additionally, associations of the genotypes with the available pathological data were analyzed. The heterozygosity of MALAT1 rs3200401 was the most common genotype (47.8%), followed by C/C (36.3%). Comparing the study groups, no significant differences were observed regarding this variant. In contrast, the malignant epithelial tumors had a higher frequency of the MIAT rs1061540 C/C genotype compared to the low-grade epithelial tumor cohorts (56.7% vs. 37.6,

Indexed as

allelic discriminationangio-lncRNAsgene variantMALATMIATovarian cancersingle-nucleotide polymorphismTaqMan real-time PCR

Identifiers

PMID38390896
PMCPMC10885055
OpenAlexW4391350165

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.