Evidence map›Paper›PMID 20592421›Full record

ArticleScience translational medicine2010

Genomic architecture characterizes tumor progression paths and fate in breast cancer patients.

Hege G Russnes, Hans Kristian Moen Vollan, Ole Christian Lingjærde, Alexander Krasnitz, Pär Lundin, Bjørn Naume, Therese Sørlie, Elin Borgen, Inga H Rye, Anita Langerød and 13 more

Abstract read
In one paragraph

Article in Science translational medicine, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing 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

84 citing papers in PubMed.

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  19. A semiparametric Bayesian model for comparing DNA copy numbers.Brazilian journal of probability and statistics · 2016
    Article
  20. Cyclin E amplification, over-expression, and relapse-free survival in HER-2-positive primary breast cancer.Tumour biology : the journal of the International Society for Oncodevelopmental Biology and Medicine · 2016
    Article

24 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

23 authors.

Hege G Russnes *Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.
Hans Kristian Moen Vollan *Department of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.
Ole Christian LingjærdeBiomedical Research Group, Department of Informatics, University of Oslo, P.O. Box 1080 Blindern, 0316 Oslo, Norway.
Alexander KrasnitzCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Pär LundinDepartment of Oncology-Pathology, Karolinska Institutet, Cancer Center Karolinska, SE-171 76 Stockholm, Sweden.
Bjørn NaumeDepartment of Oncology, Division of Surgery and Cancer, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.
Therese SørlieDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.
Elin BorgenDivision of Pathology, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.
Inga H RyeDivision of Pathology, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.
Anita LangerødDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.
Suet-Feung ChinBreast Cancer Functional Genomics, Cancer Research UK Cambridge Research Institute and Department of Oncology, University of Cambridge, Li Ka-Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Andrew E TeschendorffBreast Cancer Functional Genomics, Cancer Research UK Cambridge Research Institute and Department of Oncology, University of Cambridge, Li Ka-Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Philip J StephensCancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Susanne MånérDepartment of Oncology-Pathology, Karolinska Institutet, Cancer Center Karolinska, SE-171 76 Stockholm, Sweden.
Ellen SchlichtingDepartment of Breast and Endocrine Surgery, Division of Surgery and Cancer, Oslo University Hospital, 0450 Oslo, Norway.
Lars O BaumbuschDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.
Rolf KåresenDepartment of Breast and Endocrine Surgery, Division of Surgery and Cancer, Oslo University Hospital, 0450 Oslo, Norway.
Michael P StrattonCancer Genome Project, Wellcome Trust Sanger Institute, Wellcome Trust Genome Campus, Hinxton, Cambridge CB10 1SA, UK.
Michael WiglerCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Carlos CaldasBreast Cancer Functional Genomics, Cancer Research UK Cambridge Research Institute and Department of Oncology, University of Cambridge, Li Ka-Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Anders ZetterbergDepartment of Oncology-Pathology, Karolinska Institutet, Cancer Center Karolinska, SE-171 76 Stockholm, Sweden.
James HicksCold Spring Harbor Laboratory, Cold Spring Harbor, New York 11724, USA.
Anne-Lise Børresen-DaleDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital Radiumhospitalet, 0310 Oslo, Norway.

Funding

Cancer Research UK C507/A3086Wellcome Trust 079643
6 · The paper itself

Abstract

Distinct molecular subtypes of breast carcinomas have been identified, but translation into clinical use has been limited. We have developed two platform-independent algorithms to explore genomic architectural distortion using array comparative genomic hybridization data to measure (i) whole-arm gains and losses [whole-arm aberration index (WAAI)] and (ii) complex rearrangements [complex arm aberration index (CAAI)]. By applying CAAI and WAAI to data from 595 breast cancer patients, we were able to separate the cases into eight subgroups with different distributions of genomic distortion. Within each subgroup data from expression analyses, sequencing and ploidy indicated that progression occurs along separate paths into more complex genotypes. Histological grade had prognostic impact only in the luminal-related groups, whereas the complexity identified by CAAI had an overall independent prognostic power. This study emphasizes the relation among structural genomic alterations, molecular subtype, and clinical behavior and shows that objective score of genomic complexity (CAAI) is an independent prognostic marker in breast cancer.

Indexed as

Disease ProgressionBreast NeoplasmsChromosome AberrationsChromosomes, HumanComparative Genomic HybridizationFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticGenome, HumanHumansPrognosisProportional Hazards Models

Identifiers

PMID20592421
PMCPMC3972440

What OpenQuestion holds

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Registered trials

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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.