ArticleBulletin of experimental biology and medicine2025
Hypermethylated Long Non-Coding RNA Genes KCNK15-AS1, MAGI2-AS3, and SSTR5-AS1 in Ovarian Cancer and Their Diagnostic Potential.
Article in Bulletin of experimental biology and medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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.
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.
Who cites it
1 citing paper in PubMed.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We identified new diagnostic markers for ovarian cancer based on the analysis of aberrant methylation in a group of long non-coding RNA (lncRNA) genes. Using quantitative methyl-specific PCR with the nonparametric Mann-Whitney test, a significant (p < 0.01) increase in the methylation levels of three lncRNA genes (KCNK15-AS1, MAGI2-AS3, SSTR5-AS1) was demonstrated in a representative cohort of 56 clinical ovarian cancer samples. Using quantitative reverse transcription PCR on the same sample set, a significant decrease in the expression of these three lncRNA genes (p < 0.01) and a statistically significant inverse correlation between changes in methylation and expression levels (r < -0.5) were demonstrated, which confirms the functional role of methylation in suppressing their expression in tumor tissues. ROC analysis was used to assess the diagnostic potential of these genes. It was shown that the detection of methylation in at least one of the three genes in tissue DNA samples allows for identification of ovarian cancer with 98% sensitivity and 100% specificity (test > 0, AUC = 0.989). The developed marker panel may be of interest for the molecular assessment of at-risk patients when determining a preliminary diagnosis. However, the method requires validation on a larger, more representative sample set.
Indexed as
Identifiers
41023574What Socratic holds
Registered trials
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 Socratic graph.