Evidence map›Paper›PMID 8382897›Full record

ArticleActa neuropathologica1993

Distribution of p53 protein expression in gliosarcomas: an immunohistochemical study.

S Albrecht, J H Connelly, J M Bruner

Abstract read
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In one paragraph

Article in Acta neuropathologica, 1993. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.2field-weighted citation impact, top 20% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

7 citing papers in PubMed, 27 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
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  6. Article
  7. p53 immunoreactivity in oligodendrogliomas.Journal of neuro-oncology · 1994
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

S AlbrechtDepartment of Pathology, Baylor College of Medicine, Houston, TX.
J H Connelly
J M Bruner
University of Houston · USBaylor College of Medicine · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The wild-type p53 gene product is a nuclear phosphoprotein that suppresses cell and tumor growth. Mutations of the p53 gene are by now the most frequently recognized genetic alterations in human malignancies and occur in many types of carcinomas as well as in astrocytomas and sarcomas. Wild-type p53 protein has a short half-life, is present in very low quantities in normal cells and cannot be detected immunohistochemically. Mutant p53 proteins have longer half-lives and are usually present in immunohistologically detectable amounts. It is generally agreed that the presence of p53 immunostaining indicates the presence of an abnormal p53 protein and is strongly suggestive of a mutation in the p53 gene. In this study, we stained paraffin sections from eight samples of gliosarcomas from seven patients with an antibody to p53. All tumors contained p53-immunoreactive nuclei in both the glial and the sarcomatous component. In five tumors, a majority of nuclei was positive in the sarcomatous component while only a minority of nuclei was positive in the glial areas. In one tumor, the reverse was seen. In another tumor, approximately half the nuclei were positive in both components and in one tumor, only a minority of nuclei were positive in either component (this lesion was the recurrence of a tumor in which the majority of the sarcoma's nuclei had been positive). These data indicate that p53 mutations may play a role in the pathogenesis of gliosarcomas and suggest an origin of both the glial and sarcomatous components from a common progenitor.

Indexed as

AdultAgedFemaleGlioblastomaGliomaHumansImmunohistochemistryMaleMiddle AgedTumor Suppressor Protein p53Tumor Suppressor Protein p53

Identifiers

PMID8382897
OpenAlexW2058763046

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

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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.