Evidence map›Paper›PMID 14573703›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2003

Protein profiles associated with survival in lung adenocarcinoma.

Guoan Chen, Tarek G Gharib, Hong Wang, Chiang-Ching Huang, Rork Kuick, Dafydd G Thomas, Kerby A Shedden, David E Misek, Jeremy M G Taylor, Thomas J Giordano and 7 more

Open access · greenAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2003. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 87 papers.

0numbers the graph read from it
0cells of the map it votes in
87citing papers in PubMed
11.8field-weighted citation impact, top 1% 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

87 citing papers in PubMed, 282 citations in OpenAlex.

  1. Trial
  2. Development and validation of a quantitative real-time polymerase chain reaction classifier for lung cancer prognosis.Journal of thoracic oncology : official publication of the International Association for the Study of Lung Cancer · 2011
    Trial
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  20. TargetingInternational journal of molecular sciences · 2020
    Review

27 more citing papers are in PubMed but not listed here.

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

17 authors at 2 institutions in 2 countries.

Guoan ChenDepartment of Surgery, University of Michigan, Ann Arbor, MI 48109, USA.
Tarek G Gharib
Hong Wang
Chiang-Ching Huang
Rork Kuick
Dafydd G Thomas
Kerby A Shedden
David E Misek
Jeremy M G Taylor
Thomas J Giordano
Sharon L R Kardia
Mark D Iannettoni
John Yee
Philip J Hogg
Mark B Orringer
Samir M Hanash
David G Beer
University of Michigan–Ann Arbor · USUNSW Sydney · AU

Funding

Role of ATM in Radiosensitivity of GliomasR01CA085953 · NCI · MONTEFIORE MEDICAL CENTER (BRONX, NY) · PI GUHA, CHANDAN · 2002 to 2004
$814k
NCI NIH HHS CA-46952NCI NIH HHS R01 CA085953NCI NIH HHS U19 CA-85953
6 · The paper itself

Abstract

Morphologic assessment of lung tumors is informative but insufficient to adequately predict patient outcome. We previously identified transcriptional profiles that predict patient survival, and here we identify proteins associated with patient survival in lung adenocarcinoma. A total of 682 individual protein spots were quantified in 90 lung adenocarcinomas by using quantitative two-dimensional polyacrylamide gel electrophoresis analysis. A leave-one-out cross-validation procedure using the top 20 survival-associated proteins identified by Cox modeling indicated that protein profiles as a whole can predict survival in stage I tumor patients (P = 0.01). Thirty-three of 46 survival-associated proteins were identified by using mass spectrometry. Expression of 12 candidate proteins was confirmed as tumor-derived with immunohistochemical analysis and tissue microarrays. Oligonucleotide microarray results from both the same tumors and from an independent study showed mRNAs associated with survival for 11 of 27 encoded genes. Combined analysis of protein and mRNA data revealed 11 components of the glycolysis pathway as associated with poor survival. Among these candidates, phosphoglycerate kinase 1 was associated with survival in the protein study, in both mRNA studies and in an independent validation set of 117 adenocarcinomas and squamous lung tumors using tissue microarrays. Elevated levels of phosphoglycerate kinase 1 in the serum were also significantly correlated with poor outcome in a validation set of 107 patients with lung adenocarcinomas using ELISA analysis. These studies identify new prognostic biomarkers and indicate that protein expression profiles can predict the outcome of patients with early-stage lung cancer.

Indexed as

AdenocarcinomaBlotting, WesternElectrophoresis, Gel, Two-DimensionalEnzyme-Linked Immunosorbent AssayGlycolysisHumansImmunohistochemistryLung NeoplasmsMass SpectrometryModels, BiologicalOligonucleotide Array Sequence AnalysisOligonucleotidesProportional Hazards ModelsProtein Array AnalysisRNA, MessengerTreatment OutcomeOligonucleotidesRNA, Messenger

Identifiers

PMID14573703
PMCPMC263849
OpenAlexW2150114991

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.