Evidence map›Paper›PMID 21552492›Full record

ArticleCancer informatics2011

Reproducibility of SELDI Spectra Across Time and Laboratories.

Lixia Diao, Charlotte H Clarke, Kevin R Coombes, Stanley R Hamilton, Jack Roth, Li Mao, Bogdan Czerniak, Keith A Baggerly, Jeffrey S Morris, Eric T Fung and 1 more

Abstract read
In one paragraph

Article in Cancer informatics, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
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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

11 authors.

Lixia DiaoDepartments of Bioinformatics and Computational Biology.
Charlotte H Clarke
Kevin R Coombes
Stanley R Hamilton
Jack Roth
Li Mao
Bogdan Czerniak
Keith A Baggerly
Jeffrey S Morris
Eric T Fung
Robert C Bast

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
UNIVERSITY OF TEXAS--SPORE IN LUNG CANCERP50CA070907 · NCI · UT SOUTHWESTERN MEDICAL CENTER · PI GIBBONS, DON LYNN · 1996 to 2024
$57.4M
UNIVERSITY OF TEXAS MD ANDERSON SPORE IN OVARIAN CANCERP50CA083639 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BAST, ROBERT C · 1999 to 2015
$33.0M
TARGETING COX-2 AND EGFR SIGNALING IN ORAL CARCINOGENESISP01CA106451 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIPPMAN, SCOTT M · 2004 to 2009
$8.3M
Adaptive Methodology for Functional Biomedical DataR01CA107304 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MORRIS, JEFFREY S · 2004 to 2011
$1.7M
Aurora Kinase A as a Biomarker for the Detection of Bladder CancerR01CA151489 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CZERNIAK, BOGDAN A · 2010 to 2013
$1.6M
NCI NIH HHS P01 CA106451NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA070907NCI NIH HHS P50 CA083639NCI NIH HHS R01 CA107304NCI NIH HHS R01 CA151489
6 · The paper itself

Abstract

This is an open access article. Unrestricted non-commercial use is permitted provided the original work is properly cited.The reproducibility of mass spectrometry (MS) data collected using surface enhanced laser desorption/ionization-time of flight (SELDI-TOF) has been questioned. This investigation was designed to test the reproducibility of SELDI data collected over time by multiple users and instruments. Five laboratories prepared arrays once every week for six weeks. Spectra were collected on separate instruments in the individual laboratories. Additionally, all of the arrays produced each week were rescanned on a single instrument in one laboratory. Lab-to-lab and array-to-array variability in alignment parameters were larger than the variability attributable to running samples during different weeks. The coefficient of variance (CV) in spectrum intensity ranged from 25% at baseline, to 80% in the matrix noise region, to about 50% during the exponential drop from the maximum matrix noise. Before normalization, the median CV of the peak heights was 72% and reduced to about 20% after normalization. Additionally, for the spectra from a common instrument, the CV ranged from 5% at baseline, to 50% in the matrix noise region, to 20% during the drop from the maximum matrix noise. Normalization reduced the variability in peak heights to about 18%. With proper processing methods, SELDI instruments produce spectra containing large numbers of reproducibly located peaks, with consistent heights.

Indexed as

analysis of variance/reproducibility/SELDImass spectrometry/wavelet

Identifiers

PMID21552492
PMCPMC3085423

What OpenQuestion holds

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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.