ArticleOncoTargets and therapy2014
High expression of HEF1 is associated with poor prognosis in urinary bladder carcinoma.
Article in OncoTargets and therapy, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.
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
7 citing papers in PubMed, 1 synthesis or guideline pooled it, 7 citations in OpenAlex.
- The Prognostic Significance of NEDD9 Expression in Human Cancers: A Systematic Review, Meta-Analysis, and Omics Exploration.Technology in cancer research & treatmentPooled it
- Significant Prognostic Value of the Autophagy-Related Gene P4HB in Bladder Urothelial Carcinoma.Frontiers in oncology · 2020Article
- NEDD9 overexpression predicts poor prognosis in solid cancers: a meta-analysis.OncoTargets and therapy · 2019Review
- SPAG9 regulates HEF1 expression and drives EMT in bladder transitional cell carcinoma via rac1 signaling pathway.American journal of cancer research · 2018Article
- Focal adhesion kinase (FAK) is associated with poor prognosis in urinary bladder carcinoma.International journal of clinical and experimental pathology · 2018Article
- The Prognostic Role of NEDD9 and P38 Protein Expression Levels in Urinary Bladder Transitional Cell Carcinoma.Journal of oncology · 2017Article
- High expression of HEF1 predicts a poorer prognosis of hepatocellular carcinoma: A retrospective study.Molecular and clinical oncology · 2016Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Human enhancer of filamentation 1 (HEF1) is a multidomain scaffolding protein that has been thought to play an important role in the tumor progression of various cancers. HEF1 expression has not previously been reported in urinary bladder carcinoma, and little is known about its prognostic significance. The aim of this study was to evaluate the expression patterns of HEF1 in urinary bladder carcinoma and to investigate its prognostic significance. HEF1 expression was analyzed by immunohistochemistry using tissue microarray. A significant relationship between HEF1 expression and sex, tumor size, number of tumors, invasion depth, lymph node metastasis, and distant metastasis was found, and high expression of HEF1 was associated with worse overall survival when compared to low expression of HEF1. Multivariate analysis showed that HEF1 expression was an independent prognostic factor for overall survival in urinary bladder carcinoma. We investigated HEF1 expression in urinary bladder carcinoma and found that high HEF1 expression was associated with advanced stage, large tumor size, and shortened progression-free survival. Although the biologic function of HEF1 in urinary bladder carcinoma remains unknown, the expression of HEF1 can provide new prognostic information for disease progression.
Indexed as
Identifiers
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.