Evidence map›Paper›PMID 23012583›Full record

ArticleThe Yale journal of biology and medicine2012

Integrated analysis of tumor samples sheds light on tumor heterogeneity.

Fabio Parisi, Mariann Micsinai, Francesco Strino, Stephan Ariyan, Deepak Narayan, Antonella Bacchiocchi, Elaine Cheng, Fang Xu, Peining Li, Harriet Kluger and 2 more

Open access · greenAbstract read
In one paragraph

Article in The Yale journal of biology and medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

13 citing papers in PubMed, 23 citations in OpenAlex.

  1. Copy Number Changes Are Associated with Response to Treatment with Carboplatin, Paclitaxel, and Sorafenib in Melanoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2016
    Trial
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Coexisting GermlineCancers · 2019
    Article
  8. Cytogenetics and Cytogenomics Evaluation in Cancer.International journal of molecular sciences · 2019
    Review
  9. MicroRNA amplification and detection technologies: opportunities and challenges for point of care diagnostics.Laboratory investigation; a journal of technical methods and pathology · 2019
    Review
  10. Article
  11. Article
  12. Review
  13. 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

12 authors at 1 institution in 1 country.

Fabio ParisiDepartment of Pathology and Yale Cancer Center, Yale School of Medicine, New Haven, CT 06520, USA.
Mariann Micsinai
Francesco Strino
Stephan Ariyan
Deepak Narayan
Antonella Bacchiocchi
Elaine Cheng
Fang Xu
Peining Li
Harriet Kluger
Ruth Halaban
Yuval Kluger
Yale Cancer Center · US

Funding

Yale SPORE in Skin CancerP50CA121974 · NCI · YALE UNIVERSITY · PI DAVID F STERN · 2006 to 2026
$43.9M
NCI NIH HHS 1 P50 CA121974
6 · The paper itself

Abstract

The heterogeneity of tumor samples is a major challenge in the analysis of high-throughput profiling of tumor biopsies and cell lines. The measured aggregate signals of multigenerational progenies often represent an average of several tumor subclones with varying genomic aberrations and different gene expression levels. The goal of the present study was to integrate copy number analyses from SNP-arrays and karyotyping, gene expression profiling, and pathway analyses to detect heterogeneity, identify driver mutations, and explore possible mechanisms of tumor evolution. We showed the heterogeneity of the studied samples, characterized the global copy number alteration profiles, and identified genes whose copy number status and expression levels were aberrant. In particular, we identified a recurrent association between two BRAF(V600E) and BRAF(V600K) mutations and changes in DKK1 gene expression levels, which might indicate an association between the BRAF and WNT pathways. These findings show that the integrated approaches used in the present study can robustly address the challenging issue of tumor heterogeneity in high-throughput profiling.

Indexed as

DNA Copy Number VariationsCell Line, TumorChromosome MappingChromosomes, HumanEvolution, MolecularGene Expression ProfilingGene Expression Regulation, NeoplasticGenes, NeoplasmHumansIntercellular Signaling Peptides and ProteinsKaryotypingMelanomaMutationOligonucleotide Array Sequence AnalysisPolymorphism, Single NucleotideProto-Oncogene Proteins B-rafBRAF protein, humanDKK1 protein, humanIntercellular Signaling Peptides and ProteinsProto-Oncogene Proteins B-rafcopy numbermelanomanext generation sequencingSNP arrays

Identifiers

PMID23012583
PMCPMC3447199
OpenAlexW261226191

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.