ReviewJournal of neuro-oncology2005
Apoptotic markers for primary brain tumor prognosis.
Review in Journal of neuro-oncology, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 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
6 citing papers in PubMed, 15 citations in OpenAlex.
- Exogenous and Endogeneous Disialosyl Ganglioside GD1b Induces Apoptosis of MCF-7 Human Breast Cancer Cells.International journal of molecular sciences · 2016Article
- Optical imaging of mammary and prostate tumors in living animals using a synthetic near infrared zinc(II)-dipicolylamine probe for anionic cell surfaces.Journal of the American Chemical Society · 2010Article
- Neural stem cells, inflammation and NF-kappaB: basic principle of maintenance and repair or origin of brain tumours?Journal of cellular and molecular medicine · 2008Review
- Biomarkers of clinical responsiveness in brain tumor patients : progress and potential.Molecular diagnosis & therapy · 2008Review
- Survivin subcellular localization in high-grade astrocytomas: simultaneous expression in both nucleus and cytoplasm is negative prognostic marker.Journal of neuro-oncology · 2007Article
- Expression of Bcl-2 and Bax protein in normal pineal gland in children and young adult.Journal of molecular histology · 2006Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Molecular studies of brain tumors have provided insights into pathogenesis, yet it is unclear how important these markers are in predicting clinical outcome and response to treatment. Quantitation of apoptosis by various techniques and the expression of several apoptotic markers have been studied in brain tumors, seeking to refine the information gained from established prognostic variables, which traditionally dictate therapeutic approaches. In the present review we discuss the role of the most extensively examined molecules involved in the apoptotic procedure, such as bcl-2, bax, fas/fasL, survivin and p53, as well as the incidence of baseline apoptosis in various brain tumors, in relation to prognosis. Summarizing current evidence, increased apoptosis and p53 genetic alterations have been advanced as adverse prognosticators in various types of central nervous system neoplasms, while bcl-2 expression appears to be deprived of any predictive value in primary brain tumors. The prognostic significance of the remaining apoptosis-related molecules remains controversial or too limited to draw any firm conclusions. The lack of unanimity of results mostly based on single-center retrospective studies underscores the necessity for large prospective randomized clinical trials, to elucidate the role of these molecular markers as determinants of clinical decision-making and as potential correlates of a pathobiologically tailored and individualized treatment strategy.
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.