Evidence map›Paper›PMID 25853295›Full record

ArticleGenome biology2015

Unraveling heterogeneous susceptibility and the evolution of breast cancer using a systems biology approach.

Andrés Castellanos-Martín, Sonia Castillo-Lluva, María Del Mar Sáez-Freire, Adrián Blanco-Gómez, Lourdes Hontecillas-Prieto, Carmen Patino-Alonso, Purificación Galindo-Villardon, Luis Pérez Del Villar, Carmen Martín-Seisdedos, María Isidoro-Garcia and 14 more

Open access · hybridAbstract read
In one paragraph

Article in Genome biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

15 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Identification of Genomic Regions Implicated in Susceptibility toInternational journal of molecular sciences · 2023
    Article
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  7. Evolutionary Origins of Metabolic Reprogramming in Cancer.International journal of molecular sciences · 2022
    Review
  8. Validation of Anticorrelated TGFβ Signaling and Alternative End-Joining DNA Repair Signatures that Predict Response to Genotoxic Cancer Therapy.Clinical cancer research : an official journal of the American Association for Cancer Research · 2022
    Article
  9. Article
  10. Article
  11. Article
  12. Missing heritability of complex diseases: Enlightenment by genetic variants from intermediate phenotypes.BioEssays : news and reviews in molecular, cellular and developmental biology · 2016
    Review
  13. Article
  14. Article
  15. 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

24 authors at 6 institutions in 3 countries.

Andrés Castellanos-Martín
Sonia Castillo-Lluva
María Del Mar Sáez-Freire
Adrián Blanco-Gómez
Lourdes Hontecillas-Prieto
Carmen Patino-Alonso
Purificación Galindo-Villardon
Luis Pérez Del Villar
Carmen Martín-Seisdedos
María Isidoro-Garcia
María Del Mar Abad-Hernández
Juan Jesús Cruz-Hernández
César Augusto Rodríguez-Sánchez
Rogelio González-Sarmiento
Diego Alonso-López
Javier De Las Rivas
Begoña García-Cenador
Javier García-Criado
Do Yup Lee
Benjamin Bowen
Wolfgang Reindl
Trent Northen
Jian-Hua Mao
Jesús Pérez-Losada
Instituto de Investigación Biomédica de Salamanca · ESUniversidad de Salamanca · ESLawrence Berkeley National Laboratory · USCentro de Investigación del Cáncer · ESComplejo Hospitalario de Salamanca · ESKookmin University · KR

Funding

The Role of Fbxw7 in genetic instability and cancerR01CA116481 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI MAO, JIAN-HUA · 2008 to 2012
$1.7M
MT Function and Dysfunction in Single Neurons in VivoRC1NS069177 · NINDS · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI MCMURRAY, CYNTHIA THERESE, NORTHEN, TRENT R. · 2009 to 2010
$1.0M
NCI NIH HHS R01 CA116481NCI NIH HHS R01CA116481NINDS NIH HHS RC1 NS069177NINDS NIH HHS RC1NS069177
6 · The paper itself

Abstract

backgroundAn essential question in cancer is why individuals with the same disease have different clinical outcomes. Progress toward a more personalized medicine in cancer patients requires taking into account the underlying heterogeneity at different molecular levels.

resultsHere, we present a model in which there are complex interactions at different cellular and systemic levels that account for the heterogeneity of susceptibility to and evolution of ERBB2-positive breast cancers. Our model is based on our analyses of a cohort of mice that are characterized by heterogeneous susceptibility to ERBB2-positive breast cancers. Our analysis reveals that there are similarities between ERBB2 tumors in humans and those of backcross mice at clinical, genomic, expression, and signaling levels. We also show that mice that have tumors with intrinsically high levels of active AKT and ERK are more resistant to tumor metastasis. Our findings suggest for the first time that a site-specific phosphorylation at the serine 473 residue of AKT1 modifies the capacity for tumors to disseminate. Finally, we present two predictive models that can explain the heterogeneous behavior of the disease in the mouse population when we consider simultaneously certain genetic markers, liver cell signaling and serum biomarkers that are identified before the onset of the disease.

conclusionsConsidering simultaneously tumor pathophenotypes and several molecular levels, we show the heterogeneous behavior of ERBB2-positive breast cancer in terms of disease progression. This and similar studies should help to better understand disease variability in patient populations.

Indexed as

Systems BiologyAnimalsBreast NeoplasmsDisease ProgressionErb-b2 Receptor Tyrosine KinasesFemaleGene Expression Regulation, NeoplasticHumansMAP Kinase Signaling SystemMiceModels, GeneticNeoplasm MetastasisProto-Oncogene Proteins c-aktAKT1 protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesProto-Oncogene Proteins c-akt

Identifiers

PMID25853295
PMCPMC4389302
OpenAlexW2146157206

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.