Evidence map›Paper›PMID 22739505›Full record

ReviewNature reviews. Cancer2012

From cancer genomes to oncogenic drivers, tumour dependencies and therapeutic targets.

Cheryl Eifert, R Scott Powers

Abstract readReview
PubMed Publisher
In one paragraph

Review in Nature reviews. Cancer, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Basket Trials: Past, Present, and Future.Annual review of cancer biology · 2024
    Article
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. KRASScience signaling · 2019
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Review
  20. Article
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.

Cheryl EifertCancer Genome Center, Cold Spring Harbor Laboratory, Woodbury, New York 11797, USA.
R Scott Powers

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The analysis of human cancer by genome sequencing and various types of arrays has proved that many tumours harbour hundreds of genes that are mutated or substantially altered by copy number changes. But how many of these changes are meaningful? And how can we exploit these massive data sets to yield new targets for cancer treatment? In this Opinion article, we describe emerging approaches that aim to determine which altered genes are actually contributing to cancer, as well as their potential as therapeutic targets.

Indexed as

MutationAnimalsCell Transformation, NeoplasticGenomeHumansMolecular Targeted TherapyNeoplasms

Identifiers

PMID22739505

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.