Evidence map›Paper›PMID 22965149›Full record

ReviewNature reviews. Clinical oncology2012

What are we learning from the cancer genome?

Eric A Collisson, Raymond J Cho, Joe W Gray

Abstract readReview
In one paragraph

Review in Nature reviews. Clinical oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers.

0numbers the graph read from it
0cells of the map it votes in
27citing 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

27 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Fluorescent Imaging forProceedings of SPIE--the International Society for Optical Engineering · 2020
    Article
  6. Review
  7. Review
  8. Acquired somaticOncotarget · 2017
    Article
  9. Article
  10. Cancer Cell Fusion: Mechanisms Slowly Unravel.International journal of molecular sciences · 2016
    Review
  11. Article
  12. Article
  13. Toward precision medicine in neurological diseases.Annals of translational medicine · 2016
    Review
  14. Review
  15. Article
  16. Article
  17. Article
  18. Article
  19. One hundred years of somatic mutation theory of carcinogenesis: is it time to switch?BioEssays : news and reviews in molecular, cellular and developmental biology · 2014
    Article
  20. Clinicians' expectations for gene-driven cancer therapy.Clinical Medicine Insights. Oncology · 2014
    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.

Eric A CollissonDepartment of Medicine/Hematology and Oncology, University of California San Francisco, 505 Parnassus Avenue, San Francisco, CA 94143, USA.
Raymond J Cho
Joe W Gray

Funding

Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAY, JOE W. · 1992 to 2012
$32.7M
Systems-Based Predictions of Responses to Cancer TherapyU54CA112970 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI GRAY, JOE W. · 2004 to 2014
$27.1M
A Model for Preclinical Biomarker Discovery in Pancreatic Ductal AdenocarcinomaK08CA137153 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI COLLISSON, ERIC · 2010 to 2014
$815k
NCI NIH HHS K08 CA137153NCI NIH HHS K08CA137153NCI NIH HHS P50 CA058207NCI NIH HHS P50 CA 58207NCI NIH HHS U54 CA 112970NCI NIH HHS U54 CA112970
6 · The paper itself

Abstract

Massively parallel approaches to nucleic acid sequencing have matured from proof-of-concept to commercial products during the past 5 years. These technologies are now widely accessible, increasingly affordable, and have already exerted a transformative influence on the study of human cancer. Here, we review new features of cancer genomes that are being revealed by large-scale applications of these technologies. We focus on those insights most likely to affect future clinical practice. Foremost among these lessons, we summarize the formidable genetic heterogeneity within given cancer types that is appreciable with higher resolution profiling and larger sample sets. We discuss the inherent challenges of defining driving genomic events in a given cancer genome amidst thousands of other somatic events. Finally, we explore the organizational, regulatory and societal challenges impeding precision cancer medicine based on genomic profiling from assuming its place as standard-of-care.

Indexed as

Genome, HumanBiomarkers, TumorDNA, NeoplasmHumansNeoplasmsBiomarkers, TumorDNA, Neoplasm

Identifiers

PMID22965149
PMCPMC4169265

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.