ArticleJournal of neuro-oncology
Protein expression of Fas, Fas ligand, Bcl-2 and TGFbeta2 and correlation with survival in initial and recurrent human gliomas.
Article in Journal of neuro-oncology. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 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
5 citing papers in PubMed, 22 citations in OpenAlex.
- A case of inflammatory hepatocellular adenoma displaying an unusual histological pattern.Clinical journal of gastroenterology · 2015Article
- TGF-β mediates homing of bone marrow-derived human mesenchymal stem cells to glioma stem cells.Cancer research · 2013Article
- FasL and FADD delivery by a glioma-specific and cell cycle-dependent HSV-1 amplicon virus enhanced apoptosis in primary human brain tumors.Molecular cancer · 2010Article
- Regulatory T cells and the PD-L1/PD-1 pathway mediate immune suppression in malignant human brain tumors.Neuro-oncology · 2009Article
- Fas/Fas ligand gene polymorphism in patients with papillary thyroid cancer in the Turkish population.Journal of endocrinological investigation · 2007Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Several studies have recently demonstrated that human gliomas express Fas, Fas ligand (FasL), Bcl-2 and TGFbeta2 at some degree. These factors are considered to interact with apoptotic processes and to have immuno-reactive potential. Their role for tumor evasion from the immune surveillance is currently under examination. To date, there is only limited information about the definite expression patterns of these four factors in human gliomas, particularly in pilocytic astrocytoma (PA) and recurrent tumors. We analyzed 75 human gliomas for the immunohistochemical expression of Fas, FasL, Bcl-2, and TGFbeta2: (1) 25 PAs (WHO grade I), (2) 25 primary glioblastomas (WHO grade IV), and (3) 25 paired initial and recurrent glioblastomas (WHO grade IV), respectively. Co-expression of all four factors was present in the majority of specimens, i.e. in 72% (18/25) of PAs and 88% (47/50) of primary glioblastomas. Pilocytic astrocytomas showed significantly higher scores of TGFbeta2 expression (p < 0.05) and significantly lower Fas, Fas ligand and Bcl-2 scores (p < 0.05) than glioblastomas. There were no significant expression differences in initial versus recurrent glioblastoma specimens. Likewise, no significant correlation was observed between protein expression and clinical parameters, i.e. total survival time or progression free survival time, as documented by Kaplan-Meier method and log rank-test. In conclusion, Fas, FasL, Bcl-2 and TGFbeta2 are differently expressed in PAs versus glioblastomas. These factors, however, are not associated with patient prognosis. The broad co-expression of these factors may enable new therapeutic approaches in the future.
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.