ArticleMedComm2026
Transcriptional Profiling of Growth Hormone-Secreting Pituitary Adenoma Stem-Like Cells: Unveiling the Significant Role of CXCR4 in Tumorigenesis and Clinical Applications.
Article in MedComm, 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.
- Article
Corrections and comments
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Authors and funding
12 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Growth hormone-secreting pituitary adenoma (GHPA) can cause excessive growth hormone production, which can lead to clinical symptoms such as acromegaly. Tumor stem cells (TSCs) are postulated to play a significant role in the development of GHPA. We performed RNA sequencing on human pituitary adenoma stem-like cells (hPASCs) and matched bulk tumors to map a differentiation protein-protein interaction (PPI) network. The function of the C-X-C motif chemokine receptor-4 (CXCR4) gene was tested in hPASCs and the GH3 cell line. The CXCR4-based
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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.