ArticleMolecular and cellular biochemistry2025
Molecular characterization underlying IFN-α2 treatment in polycythemia vera: a transcriptomic overview.
Article in Molecular and cellular biochemistry, 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
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Polycythemia vera (PV) is the most common chronic myeloproliferative neoplasm (MPN) in adults. Pegylated interferon-α2 (IFN-α2) is an effective and safe drug for the treatment of PV. However, the mechanisms of its action in PV are still not fully understood. Using the WGCNA and Limma algorithm, we found a subset of IFN-α2 sensitive genes and four gene co-expression modules. Meanwhile, we also found 820 genes were differentially expressed in PV compared with healthy controls. By integrating the above results, several differentially expressed genes (DEGs) that were up- or down-regulated in PV but showed opposite alterations in the IFN-α2-treated group were found. These genes were mainly related to three types of biological processes (metal ion homeostasis, metabolic/catabolic process, and Jak-STAT signaling pathway), the dysfunctions of which were prevalent in PV. Moreover, we applied another threshold-free analysis method to compare global gene expression between IFN-α2 treated PV, PV, and control groups. Results showed the transcriptome changes of PV versus controls were negatively correlated with that of IFN-α2 treated versus untreated PV, indicating IFN-α2 treatment could partially reverse the dysregulated gene expression profile due to PV pathology. In summary, interferon may alleviate the progression of PV through multiple pathways. The findings may be of assistance in understanding the molecular basis underlying this treatment.
Indexed as
Identifiers
40029555What 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.