Evidence map›Paper›PMID 19776420›Full record

ArticleMolecular & cellular proteomics : MCP2009

Identification of five candidate lung cancer biomarkers by proteomics analysis of conditioned media of four lung cancer cell lines.

Chris Planque, Vathany Kulasingam, Chris R Smith, Karen Reckamp, Lee Goodglick, Eleftherios P Diamandis

Open access · hybridAbstract read
In one paragraph

Article in Molecular & cellular proteomics : MCP, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 60 papers.

0numbers the graph read from it
0cells of the map it votes in
60citing papers in PubMed
5.0field-weighted citation impact, top 4% 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

60 citing papers in PubMed, 144 citations in OpenAlex.

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  9. Proteomic Analysis Reveals Molecular Differences in the Development of Gastric Cancer.Evidence-based complementary and alternative medicine : eCAM · 2022
    Article
  10. IGFBP-4: A promising biomarker for lung cancer.Journal of medical biochemistry · 2021
    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

6 authors at 5 institutions in 2 countries.

Chris PlanqueDepartment of Laboratory Medicine and Pathobiology, University of Toronto, Toronto, Ontario M5G1X5, Canada.
Vathany Kulasingam
Chris R Smith
Karen Reckamp
Lee Goodglick
Eleftherios P Diamandis
University Health Network · CACity of Hope · USMount Sinai Hospital · CAUniversity of California, Los Angeles · USUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of lung cancer at an early stage is necessary for successful therapy and improved survival rates. We performed a bottom-up proteomics analysis using a two-dimensional LC-MS/MS strategy on the conditioned media of four lung cancer cell lines of different histological backgrounds (non-small cell lung cancer: H23 (adenocarcinoma), H520 (squamous cell carcinoma), and H460 (large cell carcinoma); small cell lung cancer: H1688) to identify secreted or membrane-bound proteins that could be useful as novel lung cancer biomarkers. Proteomics analysis of the four conditioned media allowed identification of 1,830 different proteins (965, 871, 726, and 847 from H1688, H23, H460, and H520, respectively). All proteins were assigned a subcellular localization, and 38% were classified as extracellular or membrane-bound. We successfully identified the internal control proteins (also detected by ELISA), kallikrein-related peptidases 14 and 11, and IGFBP2. We also identified known or putative lung cancer tumor markers such as squamous cell carcinoma antigen, carcinoembryonic antigen, chromogranin A, creatine kinase BB, progastrin-releasing peptide, neural cell adhesion molecule, and tumor M2-PK. To select the most promising candidates for validation, we performed tissue specificity assays, functional classifications, literature searches for association to cancer, and a comparison of our proteome with the proteome of lung-related diseases and serum. Five novel lung cancer candidates, ADAM-17, osteoprotegerin, pentraxin 3, follistatin, and tumor necrosis factor receptor superfamily member 1A were preliminarily validated in the serum of patients with lung cancer and healthy controls. Our results demonstrate the utility of this cell culture proteomics approach to identify secreted and shed proteins that are potentially useful as serological markers for lung cancer.

Indexed as

ADAM17 ProteinADAM ProteinsAnimalsBiomarkers, TumorCell Line, TumorCHO CellsChromatography, LiquidCricetinaeCricetulusCulture Media, ConditionedExtracellular SpaceHumansLung NeoplasmsMass SpectrometryMembrane ProteinsNeoplasm ProteinsADAM17 ProteinADAM17 protein, humanADAM ProteinsBiomarkers, TumorCulture Media, ConditionedMembrane ProteinsNeoplasm ProteinsProteome

Identifiers

PMID19776420
PMCPMC2816016
OpenAlexW2154279182

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.