Evidence map›Paper›PMID 19104933›Full record

ReviewDigestive diseases and sciences2009

The current state of proteomics in GI oncology.

Ying Lin, William S Dynan, Jeffrey R Lee, Zhao-Hua Zhu, Robert R Schade

Abstract readReview
In one paragraph

Review in Digestive diseases and sciences, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Clinical proteomics: current status, challenges, and future perspectives.The Kaohsiung journal of medical sciences · 2011
    Review
  3. Article
  4. Review
  5. Article
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

5 authors.

Ying LinInstitute of Molecular Medicine and Genetics, Medical College of Georgia, Augusta, GA 30912, USA.
William S Dynan
Jeffrey R Lee
Zhao-Hua Zhu
Robert R Schade

Funding

Laser Capture Microscopy and 2D-DIGE: Cancer ProteomicsR33CA095941 · NCI · MEDICAL COLLEGE OF GEORGIA (MCG) · PI DYNAN, WILLIAM S · 2005 to 2007
$1.0M
NCI NIH HHS R33 CA095941NCI NIH HHS R33 CA95941
6 · The paper itself

Abstract

Proteomics refers to the study of the entire set of proteins in a given cell or tissue. With the extensive development of protein separation, mass spectrometry, and bioinformatics technologies, clinical proteomics has shown its potential as a powerful approach for biomarker discovery, particularly in the area of oncology. More than 130 exploratory studies have defined candidate markers in serum, gastrointestinal (GI) fluids, or cancer tissue. In this article, we introduce the commonly adopted proteomic technologies and describe results of a comprehensive review of studies that have applied these technologies to GI oncology, with a particular emphasis on developments in the last 3 years. We discuss reasons why the more than 130 studies to date have had little discernible clinical impact, and we outline steps that may allow proteomics to realize its promise for early detection of disease, monitoring of disease recurrence, and identification of targets for individualized therapy.

Indexed as

Biomarkers, TumorGastroenterologyGastrointestinal NeoplasmsHumansMedical OncologyProteomicsBiomarkers, Tumor

Identifiers

PMID19104933
PMCPMC3045515

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.