ArticleCancer genomics & proteomics
Article in Cancer genomics & proteomics. 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
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
BACKGROUND/
aimMelanoma is an aggressive malignancy with rising global incidence. While early surgical intervention improves survival in localized cases, treatment resistance and recurrence remain a challenge. This underscores the critical need to identify prognostic biomarkers for early diagnosis, personalized treatment, and novel therapeutic development. MATERIALS AND
methodsThe GSE126076 and melanoma dataset (Skin Cutaneous Melanoma, TCGA, PanCancer Atlas) were analyzed using an information-theoretical method to identify prognostic factors. Survival analysis was performed via Kaplan-Meier curves and log-rank tests to compare high- and low-mRNA expression groups.
resultsThrough information-theoretic analysis and survival analysis, we identified
conclusionOur study is the first to demonstrate the association between
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.