Evidence map›Paper›PMID 28042959›Full record

ArticleOncotarget2017

High throughput estimation of functional cell activities reveals disease mechanisms and predicts relevant clinical outcomes.

Marta R Hidalgo, Cankut Cubuk, Alicia Amadoz, Francisco Salavert, José Carbonell-Caballero, Joaquin Dopazo

Abstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
49citing 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

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

  1. Pooled it
  2. Review
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  7. drexml: A command line tool and Python package for drug repurposing.Computational and structural biotechnology journal · 2024
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  13. Functional Profiling of Soft Tissue Sarcoma Using Mechanistic Models.International journal of molecular sciences · 2023
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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

6 authors.

Marta R HidalgoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Cankut CubukComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Alicia AmadozComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Francisco SalavertComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
José Carbonell-CaballeroComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.
Joaquin DopazoComputational Genomics Department, Centro de Investigación Príncipe Felipe (CIPF), Valencia, 46012, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the aspects of the cell functionality that account for disease or drug action mechanisms is a main challenge for precision medicine. Here we propose a new method that models cell signaling using biological knowledge on signal transduction. The method recodes individual gene expression values (and/or gene mutations) into accurate measurements of changes in the activity of signaling circuits, which ultimately constitute high-throughput estimations of cell functionalities caused by gene activity within the pathway. Moreover, such estimations can be obtained either at cohort-level, in case/control comparisons, or personalized for individual patients. The accuracy of the method is demonstrated in an extensive analysis involving 5640 patients from 12 different cancer types. Circuit activity measurements not only have a high diagnostic value but also can be related to relevant disease outcomes such as survival, and can be used to assess therapeutic interventions.

Indexed as

Gene Regulatory NetworksComputational BiologyGene ExpressionHumansMutationNeoplasmsPrecision MedicineSequence Analysis, RNASignal Transductionbiomarkerdisease mechanismprognosticsignaling pathwaysurvival

Identifiers

PMID28042959
PMCPMC5354899

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.