Evidence map›Paper›PMID 20733593›Full record

ReviewNature reviews. Cancer2010

The grand challenge to decipher the cancer proteome.

Samir Hanash, Ayumu Taguchi

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 59 papers.

0numbers the graph read from it
0cells of the map it votes in
59citing papers in PubMed
9.3field-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

59 citing papers in PubMed, 128 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
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  6. Review
  7. Review
  8. Review
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  15. A roadmap towards personalized immunology.NPJ systems biology and applications · 2018
    Article
  16. Article
  17. Review
  18. Review
  19. Cancer Cell Discrimination Using Host-Guest "Doubled" Arrays.Journal of the American Chemical Society · 2017
    Article
  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

2 authors at 1 institution in 2 countries.

Samir HanashFred Hutchinson Cancer Research Center, 1100 Fairview Avenue North, M5-C800, PO BOX 19024, Seattle, Washington 98109, USA. shanash@fhcrc.org
Ayumu Taguchi
Fred Hutch Cancer Center · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The quest to decipher protein alterations in cancer has spanned well over half a century. The vast dynamic range of protein abundance coupled with a plethora of isoforms and disease heterogeneity have been formidable challenges. Progress in cancer proteomics has substantially paralleled technological developments. Advances in analytical techniques and the implementation of strategies to de-complex the proteome into manageable components have allowed proteins across a wide dynamic range to be explored. The massive amounts of data that can currently be collected through proteomics allow the near-complete definition of cancer subproteomes, which reveals the alterations in signalling and developmental pathways. This allows the discovery of predictive biomarkers and the annotation of the cancer genome based on proteomic findings. There remains a considerable need for infrastructure development and the organized collaborative efforts to efficiently mine the cancer proteome.

Indexed as

AnimalsBiomarkers, TumorGlycomicsHumansNeoplasmsProteomeProteomicsBiomarkers, TumorProteome

Identifiers

PMID20733593
OpenAlexW2052897160

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.