ArticleCancer research2019
Precision Therapy for Aggressive Endometrial Cancer by Reactivation of Protein Phosphatase 2A.
Article in Cancer research, 2019. 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, 24 citations in OpenAlex.
- Integrated analysis of immune-related genes in endometrial carcinoma.Cancer cell international · 2020Article
Corrections and comments
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Authors and funding
2 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Critically important to reducing uterine cancer mortality is the development of more effective therapy for aggressive endometrial cancers, including uterine serous cancer and uterine carcinosarcoma, which together account for over half of deaths due to endometrial cancer. About one-third of these aggressive endometrial cancers harbor mutations in the protein phosphatase 2A (PP2A) Aα scaffold subunit encoded by
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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.