Evidence map›Paper›PMID 21421460›Full record

ReviewClinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico2011

New technologies in cancer. Protein microarrays for biomarker discovery.

Sergio Matarraz, María González-González, María Jara, Alberto Orfao, Manuel Fuentes

Abstract readReview
PubMed Publisher
In one paragraph

Review in Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Unravelling Immunogenic Cell Death Mechanisms by Functional Proteomics Arrays.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  2. Printing High-Density Human Protein Fragments on Epoxy-Treated Slides.Methods in molecular biology (Clifton, N.J.) · 2025
    Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Data Analysis Strategies for Protein Microarrays.Microarrays (Basel, Switzerland) · 2012
    Review
  8. Recombinant antibodies and their use in biosensors.Analytical and bioanalytical chemistry · 2012
    Review
  9. 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

5 authors.

Sergio MatarrazCentro de Investigación del Cáncer/IBMCC (USAL/CSIC), Departamento de Medicina y Servicio General de Citometría, University of Salamanca, Salamanca, Spain.
María González-González
María Jara
Alberto Orfao
Manuel Fuentes

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The emergence of proteomic techniques and methodological approaches to study disease has kindled the quest for new biomarkers. Thus, the use of protein microarrays has surged as a powerful tool for large-scale testing of biological samples. In this mini-review, we will discuss the application of protein microarray technologies that offer unique opportunities to find novel biomarkers.

Indexed as

AnimalsBiomarkers, TumorHumansNeoplasmsProtein Array AnalysisProteomicsBiomarkers, Tumor

Identifiers

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.