ArticleMolecular endocrinology (Baltimore, Md.)2014
FGFR4 polymorphic variants modulate phenotypic features of Cushing disease.
Article in Molecular endocrinology (Baltimore, Md.), 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It has been retracted, and should not be counted. Cited by 8 papers.
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
8 citing papers in PubMed, 21 citations in OpenAlex.
- Clinical integration and application of the 2022 WHO pituitary tumor classification.Neuro-oncology advances · 2025Article
- The hallmarks of cancer… in pituitary tumors?Reviews in endocrine & metabolic disorders · 2023Review
- Genomics and Epigenomics of Pituitary Tumors: What Do Pathologists Need to Know?Endocrine pathology · 2021Review
- Review
- Gene expression profiling in human corticotroph tumours reveals distinct, neuroendocrine profiles.Journal of neuroendocrinology · 2018Article
- Epidemiology and biomarker profile of pituitary adenohypophysial tumors.Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2018Article
- FGFR4 polymorphic alleles modulate mitochondrial respiration: A novel target for somatostatin analog action in pituitary tumors.Oncotarget · 2017Article
- Cushing's syndrome: from physiological principles to diagnosis and clinical care.The Journal of physiology · 2015Review
Corrections and comments
- Correction · 2015-05-01Error in Image ·
- Erratum issuedCorrigendum.2015
Authors and funding
8 authors at 5 institutions in 2 countries.
Funding
Abstract
Cushing disease is a potentially lethal condition resulting from hormone excess, usually due to a small pituitary tumor that fails to respond to negative feedback inhibition. A minority of patients develop larger, more aggressive tumors of the same lineage but with modest hormone excess. Here we show that a common polymorphism in the fibroblast growth factor receptor 4 (FGFR4) transmembrane domain yields receptor isoforms with distinct properties that mediate these biological differences. Forced expression of the major FGFR4-G388 variant allele supports pY-signal transducer and activator of transcription (STAT3) responses. In contrast, expression of the minor FGFR4-R388 allele enhances STAT3 serine phosphorylation, driving cellular growth. In addition, FGFR4-R388 enhances glucocorticoid receptor phosphorylation and nuclear translocation. Consistent with these findings, glucocorticoid administration resulted in enhanced hormone negative feedback in mice with knock-in of the FGFR4 variant allele. Moreover, clinical data from patients with pituitary tumors revealed that those homozygous for the R388 allele have a higher frequency of silent corticotroph macroadenomas than FGFR4-G388 carriers, who were more likely to have small but hormonally active microadenomas. These findings demonstrate that the FGFR4 transmembrane polymorphic variants can modulate cellular growth and sensitivity to glucocorticoid hormone negative feedback through distinct STAT3 modifications of relevance to the human forms of Cushing disease.
Indexed as
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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.