Evidence map›Paper›PMID 21082040›Full record

ArticleCancer informatics2010

Cross-platform Comparison of Two Pancreatic Cancer Phenotypes.

Robert B Scharpf, Christine A Iacobuzio-Donahue, Leslie Cope, Ingo Ruczinski, Elizabeth Garrett-Mayer, Sindhu Lakkur, Domenico Campagna, Giovanni Parmigiani

Abstract read
In one paragraph

Article in Cancer informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Pancreatic cancer.Lancet (London, England) · 2011
    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

8 authors.

Robert B ScharpfDepartments of Oncology.
Christine A Iacobuzio-Donahue
Leslie Cope
Ingo Ruczinski
Elizabeth Garrett-Mayer
Sindhu Lakkur
Domenico Campagna
Giovanni Parmigiani

Funding

Translational Research Central ServicesP30CA006973 · NCI · JOHNS HOPKINS UNIVERSITY · PI Rosalie Wollett · 1985 to 2026
$208.6M
Pre-Doctoral Training in Environmental BiostatisticsT32ES012871 · NIEHS · JOHNS HOPKINS UNIVERSITY · PI PENG, ROGER · 2004 to 2014
$1.9M
NCI NIH HHS P30 CA006973NIEHS NIH HHS T32 ES012871
6 · The paper itself

Abstract

Model-based approaches for combining gene expression data from multiple high throughput platforms can be sensitive to technological artifacts when the number of samples in each platform is small. This paper proposes simple tools for quantifying concordance in a small study of pancreatic cancer cells lines with an emphasis on visualizations that uncover intra- and inter-platform variation. Using this approach, we identify several transcripts from the integrative analysis whose over-or under-expression in pancreatic cancer cell lines was validated by qPCR.

Indexed as

cross-platformdifferential gene expressionmicroarraysrank statistics

Identifiers

PMID21082040
PMCPMC2978933

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.