Evidence map›Paper›PMID 20974554›Full record

ReviewMolecular oncology2010

Reverse phase protein microarrays advance to use in clinical trials.

Claudius Mueller, Lance A Liotta, Virginia Espina

Abstract readReview
In one paragraph

Review in Molecular oncology, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 57 papers.

0numbers the graph read from it
0cells of the map it votes in
57citing 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

57 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Proteomics appending a complementary dimension to precision oncotherapy.Computational and structural biotechnology journal · 2024
    Review
  5. The Breast Cancer Proteome and Precision Oncology.Cold Spring Harbor perspectives in medicine · 2023
    Review
  6. Review
  7. Article
  8. Review
  9. Biomarkers in Glycogen Storage Diseases: An Update.International journal of molecular sciences · 2021
    Review
  10. Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Proteomics for cancer drug design.Expert review of proteomics · 2019
    Article
  18. Unlocking bone for proteomic analysis and FISH.Laboratory investigation; a journal of technical methods and pathology · 2019
    Article
  19. Clinical potential of mass spectrometry-based proteogenomics.Nature reviews. Clinical oncology · 2019
    Review
  20. 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

3 authors.

Claudius MuellerGeorge Mason University, Center for Applied Proteomics and Molecular Medicine, Manassas, VA 20110, USA.
Lance A Liotta
Virginia Espina

Funding

Implementation of phosphoprotein preservation technology for cancer biospecimensR33CA157403 · NCI · GEORGE MASON UNIVERSITY · PI LIOTTA, LANCE ALLEN · 2011 to 2013
$922k
Surrogate and Sentinal Technologies to Monitor Stability of Cancer PhosphoproteinR21CA125698 · NCI · GEORGE MASON UNIVERSITY · PI LIOTTA, LANCE ALLEN · 2008 to 2009
$330k
NCI NIH HHS R21 CA125698NCI NIH HHS R21CA125698-01A1NCI NIH HHS R33 CA157403
6 · The paper itself

Abstract

Individualizing cancer therapy for molecular targeted inhibitors requires a new class of molecular profiling technology that can map the functional state of the cancer cell signal pathways containing the drug targets. Reverse phase protein microarrays (RPMA) are a technology platform designed for quantitative, multiplexed analysis of specific phosphorylated, cleaved, or total (phosphorylated and non-phosphorylated) forms of cellular proteins from a limited amount of sample. This class of microarray can be used to interrogate tissue samples, cells, serum, or body fluids. RPMA were previously a research tool; now this technology has graduated to use in research clinical trials with clinical grade sensitivity and precision. In this review we describe the application of RPMA for multiplexed signal pathway analysis in therapeutic monitoring, biomarker discovery, and evaluation of pharmaceutical targets, and conclude with a summary of the technical aspects of RPMA construction and analysis.

Indexed as

Clinical Trials as TopicAntineoplastic AgentsBiomarkers, TumorDrug DiscoveryHumansNeoplasm ProteinsNeoplasmsPrecision MedicineProtein Array AnalysisProteomicsSignal TransductionTranslational Research, BiomedicalAntineoplastic AgentsBiomarkers, TumorNeoplasm Proteins

Identifiers

PMID20974554
PMCPMC2981612

What OpenQuestion holds

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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.