ArticleCancers2025
Five Cellular Genes as Candidates for Cervical Adenocarcinoma Molecular Markers.
Article in Cancers, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimCervical adenocarcinoma associated with Human Papillomavirus (HPV) infection represents 85-90% of all adenocarcinomas that have poor prognostic factors and is an important health public concern. Currently, cervical adenocarcinoma molecular markers are scarce. This study searched databases and the literature regarding candidate genes to find these molecular markers, which were experimentally evaluated in fresh cervical samples. MATERIALS AND
methodsBioinformatic analysis of 161 transcriptomic libraries of cervical tissues with or without lesions from the NCBI database was performed using the Partek Genomics Suite 6.6v software. The selected genes with a
resultsInitially, twenty-five genes were identified using bioinformatic analysis, and their expression was evaluated. The results showed that the
conclusionsThis five-gene panel could serve as a novel molecular tool for HPV-associated cervical adenocarcinoma detection.
Indexed as
Identifiers
What OpenQuestion 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 OpenQuestion graph.