Evidence map›Paper›PMID 25169931›Full record

ArticleMolecular oncology2015

A tumor DNA complex aberration index is an independent predictor of survival in breast and ovarian cancer.

Hans Kristian Moen Vollan, Oscar M Rueda, Suet-Feung Chin, Christina Curtis, Gulisa Turashvili, Sohrab Shah, Ole Christian Lingjærde, Yinyin Yuan, Charlotte K Ng, Mark J Dunning and 15 more

Open access · hybridAbstract readMulticenter Study
In one paragraph

Article in Molecular oncology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 12% 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

16 citing papers in PubMed, 60 citations in OpenAlex.

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  15. Genomic profiling of breast cancers.Current opinion in obstetrics & gynecology · 2015
    Review
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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

25 authors at 14 institutions in 4 countries.

Hans Kristian Moen VollanCancer Research UK, Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; Department of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway; The K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Norway; Department of Oncology, Division for Surgery, Cancer and Transplantation, Oslo University Hospital, The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway.
Oscar M RuedaCancer Research UK, Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Suet-Feung ChinCancer Research UK, Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Christina CurtisDepartment of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Gulisa TurashviliDepartment of Pathology and Laboratory Medicine, University of British Colombia, Vancouver, British Colombia V6T 2B5, Canada; Molecular Oncology, British Colombia Cancer Research Center, Vancouver, British Columbia V5Z 1L3, Canada.
Sohrab ShahDepartment of Pathology and Laboratory Medicine, University of British Colombia, Vancouver, British Colombia V6T 2B5, Canada; Molecular Oncology, British Colombia Cancer Research Center, Vancouver, British Columbia V5Z 1L3, Canada.
Ole Christian LingjærdeThe K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Norway; Biomedical Informatics Division, Department of Computer Science, University of Oslo, Oslo, Norway; Center for Cancer Biomedicine, University of Oslo, Norway.
Yinyin YuanDivision of Molecular Pathology, The Institute of Cancer Research, 237 Fulham Road, SW3 6JB, London, UK.
Charlotte K NgDepartment of Pathology, Memorial Sloan-Kettering Cancer Center, 1275 York Avenue, New York, NY 10065, USA.
Mark J DunningCancer Research UK, Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK.
Ed DicksStrangeways Research Laboratories, University of Cambridge, Cambridge CB1 9RN, UK.
Elena ProvenzanoCambridge Experimental Cancer Medicine Centre, Cambridge CB2 0RE, UK; Cambridge Breast Unit, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge CB2 2QQ, UK.
Stephen SammutCambridge Breast Unit, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge CB2 2QQ, UK.
Steven McKinneyMolecular Oncology, British Colombia Cancer Research Center, Vancouver, British Columbia V5Z 1L3, Canada.
Ian O EllisDepartment of Histopathology, School of Molecular Medical Sciences, University of Nottingham, Nottingham, NG5 1PB, UK.
Sarah PinderKing's College London, Breakthrough Breast Cancer Research Unit, London WC2R 2LS, UK; NIHR Comprehensive Biomedical Research Centre at Guy's and St. Thomas NHS Foundation Trust and King's College London, London WC2R 2LS, UK.
Arnie PurushothamKing's College London, Breakthrough Breast Cancer Research Unit, London WC2R 2LS, UK; NIHR Comprehensive Biomedical Research Centre at Guy's and St. Thomas NHS Foundation Trust and King's College London, London WC2R 2LS, UK.
Leigh C MurphyManitoba Institute of Cell Biology, CancerCare Manitoba, University of Manitoba, Manitoba R3E 0V9, Canada.
Vessela N KristensenDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway; The K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Norway; Department of Clinical Molecular Biology (EpiGen), Medical Division, Akershus University Hospital, Lørenskog, Norway.
METABRIC Group
James D BrentonCancer Research UK, Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; Department of Oncology, University of Cambridge, Hills Road, Cambridge CB2 2XZ, UK; Cambridge Experimental Cancer Medicine Centre, Cambridge CB2 0RE, UK; Cambridge Breast Unit, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge CB2 2QQ, UK.
Paul D P PharoahDepartment of Oncology, University of Cambridge, Hills Road, Cambridge CB2 2XZ, UK; Strangeways Research Laboratories, University of Cambridge, Cambridge CB1 9RN, UK; Cambridge Experimental Cancer Medicine Centre, Cambridge CB2 0RE, UK; Cambridge Breast Unit, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge CB2 2QQ, UK.
Anne-Lise Børresen-DaleDepartment of Genetics, Institute for Cancer Research, Oslo University Hospital, The Norwegian Radium Hospital, Montebello, 0310 Oslo, Norway; The K.G. Jebsen Center for Breast Cancer Research, Institute for Clinical Medicine, Faculty of Medicine, University of Oslo, Norway.
Samuel AparicioDepartment of Pathology and Laboratory Medicine, University of British Colombia, Vancouver, British Colombia V6T 2B5, Canada; Molecular Oncology, British Colombia Cancer Research Center, Vancouver, British Columbia V5Z 1L3, Canada. Electronic address: saparicio@bccrc.ca.
Carlos CaldasCancer Research UK, Cambridge Institute, University of Cambridge, Li Ka Shing Centre, Robinson Way, Cambridge CB2 0RE, UK; Department of Oncology, University of Cambridge, Hills Road, Cambridge CB2 2XZ, UK; Cambridge Experimental Cancer Medicine Centre, Cambridge CB2 0RE, UK; Cambridge Breast Unit, Addenbrooke's Hospital, Cambridge University Hospital NHS Foundation Trust and NIHR Cambridge Biomedical Research Centre, Cambridge CB2 2QQ, UK. Electronic address: carlos.caldas@cruk.cam.ac.uk.
University of Cambridge · GBUniversity of British Columbia · CAUniversity of Oslo · NOCancer Research UK · GBNIHR Cambridge Biomedical Research CentreAddenbrooke's Hospital · GBBreast Cancer Now · GBCancer Research UK Cambridge Center · GBInstitute of Cancer Research · GBKing's College London · GBMemorial Sloan Kettering Cancer Center · USUniversity of Manitoba · CAUniversity of Nottingham · GBUniversity of Southern California · US

Funding

Cancer Research UK 15601Cancer Research UK 16561Cancer Research UK 16942Wellcome Trust 105104
6 · The paper itself

Abstract

Complex focal chromosomal rearrangements in cancer genomes, also called "firestorms", can be scored from DNA copy number data. The complex arm-wise aberration index (CAAI) is a score that captures DNA copy number alterations that appear as focal complex events in tumors, and has potential prognostic value in breast cancer. This study aimed to validate this DNA-based prognostic index in breast cancer and test for the first time its potential prognostic value in ovarian cancer. Copy number alteration (CNA) data from 1950 breast carcinomas (METABRIC cohort) and 508 high-grade serous ovarian carcinomas (TCGA dataset) were analyzed. Cases were classified as CAAI positive if at least one complex focal event was scored. Complex alterations were frequently localized on chromosome 8p (n = 159), 17q (n = 176) and 11q (n = 251). CAAI events on 11q were most frequent in estrogen receptor positive (ER+) cases and on 17q in estrogen receptor negative (ER-) cases. We found only a modest correlation between CAAI and the overall rate of genomic instability (GII) and number of breakpoints (r = 0.27 and r = 0.42, p < 0.001). Breast cancer specific survival (BCSS), overall survival (OS) and ovarian cancer progression free survival (PFS) were used as clinical end points in Cox proportional hazard model survival analyses. CAAI positive breast cancers (43%) had higher mortality: hazard ratio (HR) of 1.94 (95%CI, 1.62-2.32) for BCSS, and of 1.49 (95%CI, 1.30-1.71) for OS. Representations of the 70-gene and the 21-gene predictors were compared with CAAI in multivariable models and CAAI was independently significant with a Cox adjusted HR of 1.56 (95%CI, 1.23-1.99) for ER+ and 1.55 (95%CI, 1.11-2.18) for ER- disease. None of the expression-based predictors were prognostic in the ER- subset. We found that a model including CAAI and the two expression-based prognostic signatures outperformed a model including the 21-gene and 70-gene signatures but excluding CAAI. Inclusion of CAAI in the clinical prognostication tool PREDICT significantly improved its performance. CAAI positive ovarian cancers (52%) also had worse prognosis: HRs of 1.3 (95%CI, 1.1-1.7) for PFS and 1.3 (95%CI, 1.1-1.6) for OS. This study validates CAAI as an independent predictor of survival in both ER+ and ER- breast cancer and reveals a significant prognostic value for CAAI in high-grade serous ovarian cancer.

Indexed as

Breast NeoplasmsChromosome AberrationsChromosomes, HumanDatabases, GeneticDNA, NeoplasmOvarian NeoplasmsCohort StudiesDisease-Free SurvivalFemaleHumansSurvival RateDNA, NeoplasmBiomarkerBreast cancerDNA copy numberGenomic instabilityGenomicsOvarian cancerPrognostic markers

Identifiers

PMID25169931
PMCPMC4286124
OpenAlexW2154094518

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LicenceCC BY-NC-ND
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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.