Evidence map›Paper›PMID 19229342›Full record

ArticlePloS one2009

Biological convergence of cancer signatures.

Xavier Solé, Núria Bonifaci, Núria López-Bigas, Antoni Berenguer, Pilar Hernández, Oscar Reina, Christopher A Maxwell, Helena Aguilar, Ander Urruticoechea, Silvia de Sanjosé and 4 more

Abstract read
In one paragraph

Article in PloS one, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing 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

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

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  15. Translating tumor antigens into cancer vaccines.Clinical and vaccine immunology : CVI · 2011
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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

14 authors.

Xavier SoléBioinformatics and Biostatistics Unit, Catalan Institute of Oncology, IDIBELL, L'Hospitalet, Barcelona, Spain.
Núria Bonifaci
Núria López-Bigas
Antoni Berenguer
Pilar Hernández
Oscar Reina
Christopher A Maxwell
Helena Aguilar
Ander Urruticoechea
Silvia de Sanjosé
Francesc Comellas
Gabriel Capellá
Víctor Moreno
Miguel Angel Pujana

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Gene expression profiling has identified cancer prognostic and predictive signatures with superior performance to conventional histopathological or clinical parameters. Consequently, signatures are being incorporated into clinical practice and will soon influence everyday decisions in oncology. However, the slight overlap in the gene identity between signatures for the same cancer type or condition raises questions about their biological and clinical implications. To clarify these issues, better understanding of the molecular properties and possible interactions underlying apparently dissimilar signatures is needed. Here, we evaluated whether the signatures of 24 independent studies are related at the genome, transcriptome or proteome levels. Significant associations were consistently observed across these molecular layers, which suggest the existence of a common cancer cell phenotype. Convergence on cell proliferation and death supports the pivotal involvement of these processes in prognosis, metastasis and treatment response. In addition, functional and molecular associations were identified with the immune response in different cancer types and conditions that complement the contribution of cell proliferation and death. Examination of additional, independent, cancer datasets corroborated our observations. This study proposes a comprehensive strategy for interpreting cancer signatures that reveals common design principles and systems-level properties.

Indexed as

Gene Expression ProfilingCell DeathCell ProliferationComputational BiologyDatabases, Nucleic AcidGene Expression Regulation, NeoplasticHumansImmunityNeoplasms

Identifiers

PMID19229342
PMCPMC2642727

What OpenQuestion holds

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LicenceCC BY
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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.