ArticleBlood neoplasia2025
MNT: a new target for AML.
Article in Blood neoplasia, 2025. 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.
- Development of XYD113 as a potent and highly selective GSPT1 degrader for cancer therapy.Acta pharmacologica Sinica · 2026Article
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
Deregulated expression of the transcription factor c-MYC is well established as a primary driver of diverse tumor types. In this study, for the first time to our knowledge, we show that mouse and human myeloid leukemias provoked by oncogenic mixed lineage leukemia (MLL) fusion proteins are dependent on the MYC family member MNT (MAX network transcriptional repressor), which is highly expressed in these AMLs. To investigate the role of MNT, we generated
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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 OpenQuestion graph.