ArticleCancer informatics2026
Transcriptome-Wide Cox Regression Identifies Candidate Survival-Associated Genes in Newly Diagnosed Acute Myeloid Leukemia.
Article in Cancer informatics, 2026. 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Objectives: Acute myeloid leukemia (AML) exhibits substantial biological heterogeneity that is not fully captured by current prognostic systems. We aimed to identify transcriptome-wide gene expression markers associated with overall survival in newly diagnosed AML patients. Methods: Gene expression and clinical data from 399 newly diagnosed AML patients in the OHSU cohort were obtained via cBioPortal. Cox proportional hazards regression was performed independently for 22,836 genes to evaluate associations with overall survival. Analyses were restricted to genes with sufficient observations, and Bonferroni correction was applied to account for multiple testing. Results: A total of 46 genes were significantly associated with overall survival after multiple testing correction. Higher expression of Conclusions: This transcriptome-wide analysis identified multiple genes associated with survival in newly diagnosed AML, highlighting candidate prognostic biomarkers that may complement existing risk stratification frameworks. Further validation in independent cohorts is warranted.
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.