Evidence map›Paper›PMID 26678097›Full record

ArticleScientific reports2015

Using activation status of signaling pathways as mechanism-based biomarkers to predict drug sensitivity.

Alicia Amadoz, Patricia Sebastian-Leon, Enrique Vidal, Francisco Salavert, Joaquin Dopazo

Abstract read
In one paragraph

Article in Scientific reports, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

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  10. A Review of CurrentFrontiers in oncology · 2021
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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

5 authors.

Alicia AmadozComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Patricia Sebastian-LeonComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Enrique VidalComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Francisco SalavertComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.
Joaquin DopazoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Many complex traits, as drug response, are associated with changes in biological pathways rather than being caused by single gene alterations. Here, a predictive framework is presented in which gene expression data are recoded into activity statuses of signal transduction circuits (sub-pathways within signaling pathways that connect receptor proteins to final effector proteins that trigger cell actions). Such activity values are used as features by a prediction algorithm which can efficiently predict a continuous variable such as the IC50 value. The main advantage of this prediction method is that the features selected by the predictor, the signaling circuits, are themselves rich-informative, mechanism-based biomarkers which provide insight into or drug molecular mechanisms of action (MoA).

Indexed as

AlgorithmsAntineoplastic AgentsBiomarkersCell Line, TumorCell SurvivalGene ExpressionHumansLethal Dose 50NeoplasmsPhosphorylationProteinsSignal TransductionAntineoplastic AgentsBiomarkersProteins

Identifiers

PMID26678097
PMCPMC4683444

What OpenQuestion holds

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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.