Evidence map›Paper›PMID 11911441›Full record

ArticleThe pharmacogenomics journal2001

Accuracy of two-dimensional electrophoresis for target discovery in human colorectal cancer.

V Ott, K Guenther, R Steinert, S Tortola, B Borisch, W Schlegel, M A Reymond

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Article in The pharmacogenomics journal, 2001. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

0 citing papers in PubMed, 19 citations in OpenAlex.

No citing paper in PubMed yet.

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

7 authors at 4 institutions in 2 countries.

V OttDepartment of Surgery, University of Geneva, Switzerland.
K Guenther
R Steinert
S Tortola
B Borisch
W Schlegel
M A Reymond
University of Geneva · CHCarl-Thiem-Klinikum Cottbus · DEFriedrich-Alexander-Universität Erlangen-Nürnberg · DEUniversity Hospital Magdeburg · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Two-dimensional polyacrylamide gel electrophoresis (2-D PAGE) is increasingly used for target discovery in human disease to complement genomic studies. We have assessed the possibilities and limits of 2-D PAGE applied to human colorectal cancer. Up to 10(8) epithelial cells were purified from paired normal and pathological biopsies using Ber-EP4 coated magnetic beads, allowing the elimination of cellular and fluid contaminations. The mean coefficient of variation (CVAR) of repeated 2-D PAGE analysis with silver staining was lying between 20 and 28%. However, only 47% (interrun) to 76% (intrarun) of spots could be matched within a triplicate experiment. Interindividual phenotypic variability was high. Intratumoral phenotypic variability was not found to be significant. When method and tumor variability were added, 90% of CVAR were inferior to 48%. Thus, two-fold up- or down-regulation of protein expression reveals biological significance. Serial paired comparison of 923 proteins in 10 patients showed highly reproducible differences between normal and cancer tissues. Under well defined experimental conditions and after the high variability of the technique has been considered, 2-D PAGE parallel analysis of paired colorectal samples allows patient-specific tumor profiling.

Indexed as

Colorectal NeoplasmsElectrophoresis, Gel, Two-DimensionalEpithelial CellsHumansImage Processing, Computer-AssistedNeoplasm ProteinsPhenotypeProtein BiosynthesisProtein DenaturationProteinsProteomeReference StandardsReference ValuesReproducibility of ResultsSilver StainingSpecimen HandlingNeoplasm ProteinsProteinsProteome

Identifiers

PMID11911441
OpenAlexW2019289378

What OpenQuestion holds

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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.