ArticleTranslational cancer research2026
Identification of
Article in Translational cancer research, 2026. 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.
- Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Lactylation, a protein modification driven by lactate produced during glycolysis, has been implicated in tumorigenesis and immune suppression, and may influence patient prognosis. This study aimed to identify lactylation-related prognostic genes and explore their potential functional relevance. Methods: The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets were used to identify lactylation-related genes (LRGs) in esophageal cancer (ESCA). Prognostic LRGs were determined by univariate and multivariate Cox regression analyses. Correlations of prognostic LRGs with ESCA-associated genes, immune cell infiltration, and five classes of immunomodulatory genes were evaluated, followed by functional enrichment and drug sensitivity analyses. These LRGs were validated using an independent dataset and immunohistochemistry (IHC) assays. Results: A total of 321 predictive LRGs were identified in ESCA. Four LRGs ( Conclusions: We identified four genes associated with lactylation activity scores that serve as independent prognostic candidates for ESCA. These LRGs hold promise as potential therapeutic targets and prognostic biomarkers in ESCA.
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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.