Evidence map›Paper›PMID 8912472›Full record

ReviewWorld journal of urology1996

Molecular biology of prostate cancer.

X B Shi, P H Gumerlock, R W deVere White

Abstract readReview
PubMed Publisher
In one paragraph

Review in World journal of urology, 1996. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
4.4field-weighted citation impact, top 6% 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

6 citing papers in PubMed, 32 citations in OpenAlex.

  1. Review
  2. Article
  3. Malignant phenotype of PC3 cell line was inhibited by siRNA targeting PAR gene.Journal of Huazhong University of Science and Technology. Medical sciences = Hua zhong ke ji da xue xue bao. Yi xue Ying De wen ban = Huazhong keji daxue xuebao. Yixue Yingdewen ban · 2007
    Article
  4. Prognostic factors in prostate cancer.Diagnostic pathology · 2006
    Article
  5. Article
  6. Review
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 1 institution in 1 country.

X B ShiDepartment of Urology, University of California, Davis, Sacramento 95817, USA.
P H Gumerlock
R W deVere White
University of California, Davis · US

Funding

QUANTITATIVE DNA MOLECULAR STUDIES IN PROSTATE CANCERP01CA055792 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI DE VERE WHITE, RALPH W. · 1993 to 1996
–
DNA STUDIES &P53 GENE ABNORMALITIES IN PROSTATE CANCERU01CA060098 · NCI · CTRC RESEARCH FOUNDATION · PI DE VERE WHITE, RALPH W. · 1993 to 1996
–
NCI NIH HHS P01 CA55792NCI NIH HHS UO1 CA60098
6 · The paper itself

Abstract

Carcinoma of the prostate (CaP) is a very prevalent tumor among men. However thus far, relatively little information is known about the molecular mechanisms involved in the development, progression and metastasis of this disease. This article reviews the current state of knowledge of five selected molecular aspects of human CaP: tumor suppressor genes, metastasis suppressor genes and related biological events (allelic loss and DNA methylation), oncogenes (including growth factors and their receptors), the anti-apoptosis gene BCL2, and the human androgen receptor gene (hAR). Alterations of these genes in structure and expression as well as the frequencies of these molecular events are discussed to synthesize an understanding of documented genetic alterations that occur in CaP and their possible relation to the biology of the disease.

Indexed as

AnimalsBiomarkers, TumorDNA MethylationDNA, NeoplasmGenes, bcl-2Genes, Tumor SuppressorHumansMaleMolecular BiologyNeoplasm MetastasisOncogenesProstatic NeoplasmsReceptors, AndrogenBiomarkers, TumorDNA, NeoplasmReceptors, Androgen

Identifiers

PMID8912472
OpenAlexW2057520864

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.