Evidence map›Paper›PMID 11384102›Full record

ArticleBritish journal of cancer2001

Identification of potential diagnostic markers of prostate cancer and prostatic intraepithelial neoplasia using cDNA microarray.

J H Bull, G Ellison, A Patel, G Muir, M Walker, M Underwood, F Khan, L Paskins

Open access · hybridAbstract readEvaluation Study
In one paragraph

Article in British journal of cancer, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed
5.7field-weighted citation impact, top 3% 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

32 citing papers in PubMed, 116 citations in OpenAlex.

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  12. Proteomic approaches and identification of novel therapeutic targets for alcoholism.Neuropsychopharmacology : official publication of the American College of Neuropsychopharmacology · 2014
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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

8 authors at 5 institutions in 1 country.

J H BullEnabling Science and Technology, AstraZeneca, Cheshire, SK10 4TG, UK.
G Ellison
A Patel
G Muir
M Walker
M Underwood
F Khan
L Paskins
AstraZeneca (United Kingdom) · GBGlasgow Royal Infirmary · GBImperial College London · GBKing's College Hospital · GBSt Mary's Hospital · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The identification of novel genes or groups of genes expressed in prostate cancer may allow earlier diagnosis or more accurate staging of the disease. We describe the assembly and use of a 1877-member microarray representing cDNA clones from a range of prostate cancer stages and grades, precursor lesions and normal tissue. Using labelled cDNA from tumour samples obtained from TURP or radical prostatectomy, analysis of expression patterns identified many up-regulated transcripts. Cell lines were found to over-express fewer genes than diseased tissue samples. 17 known genes were found to over-express more than 4-fold in 4 or more cancers out of 15 cancers. Only 2 genes were over-expressed in 6 out of 15 cancers or more, whilst no genes were consistently found to be over-expressed in all cancer samples. Novel prostate cancer associations for several well characterized genes or full length cDNAs were identified, including PLRP1, JM27, human UbcM2, dynein light intermediate chain 2 and human homologue of rat sec61. Novel associations with high-grade PIN include: breast carcinoma fatty acid synthase and cDNA DKFZp434B0335. We shortlist and discuss the most significant over-expressed genes in prostate cancer and PIN, and highlight expression differences between malignant and benign samples.

Indexed as

Gene Expression Regulation, NeoplasticOligonucleotide Array Sequence AnalysisAgedBiomarkers, TumorDiagnosis, DifferentialDNA, ComplementaryHumansIn Situ HybridizationMaleMiddle AgedPolymerase Chain ReactionProstatic HyperplasiaProstatic Intraepithelial NeoplasiaProstatic NeoplasmsBiomarkers, TumorDNA, Complementary

Identifiers

PMID11384102
PMCPMC2363654
OpenAlexW2073374971

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.