Evidence map›Paper›PMID 22260482›Full record

ReviewPigment cell & melanoma research2012

Delving into somatic variation in sporadic melanoma.

Vijay Walia, Euphemia W Mu, Jimmy C Lin, Yardena Samuels

Abstract readReview
In one paragraph

Review in Pigment cell & melanoma research, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 pooled it
–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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Adoptive T-cell Immunotherapy: Perfecting Self-Defenses.Experientia supplementum (2012) · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. MGDB: a comprehensive database of genes involved in melanoma.Database : the journal of biological databases and curation · 2015
    Article
  10. Review
  11. ERBB4 mutation analysis: emerging molecular target for melanoma treatment.Methods in molecular biology (Clifton, N.J.) · 2014
    Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Review
  19. 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

4 authors.

Vijay WaliaThe Cancer Genetics Branch, National Human Genome Research Institute, National Institutes of Health, Bethesda, MD, USA.
Euphemia W Mu
Jimmy C Lin
Yardena Samuels

Funding

Mutational and Functional Analysis of Sporadic Malignant MelanomaZIAHG200337 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI SAMUELS, YARDENA · 2009 to 2013
$5.0M
Mutational analysis of signal transducing gene families in malignant melanomaZ01HG200337 · NHGRI · NATIONAL HUMAN GENOME RESEARCH INSTITUTE · PI SAMUELS, YARDENA · 2007 to 2008
$3.5M
Intramural NIH HHS Z01 HG200337
6 · The paper itself

Abstract

Melanoma, the most aggressive form of skin cancer, has increased in incidence more rapidly than any other cancer. The completion of the human genome project and advancements in genomics technologies has allowed us to investigate genetic alterations of melanoma at a scale and depth that is unprecedented. Here, we survey the history of the different approaches taken to understand the genomics of melanoma - from early candidate genes, to gene families, to genome-wide studies. The new era of whole-exome and whole-genome sequencing has paved the way for an in-depth understanding of melanoma biology, identification of new therapeutic targets, and development of novel personalized therapies for melanoma.

Indexed as

Genetic VariationExomeHumansMelanomaMutationSequence Analysis, DNASkin Neoplasms

Identifiers

PMID22260482
PMCPMC3374856

What OpenQuestion holds

Textmetadata
LicenceTDM
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.