Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

Giardiello, Daniele; Hooning, Maartje J.; Hauptmann, Michael; Keeman, Renske; Heemskerk-Gerritsen, B. A. M.; Becher, Heiko; Blomqvist, Carl; Bojesen, Stig E.; Bolla, Manjeet K.; Camp, Nicola J.; Czene, Kamila; Devilee, Peter; Eccles, Diana M.; Fasching, Peter A.; Figueroa, Jonine D.; Flyger, Henrik; García-Closas, Montserrat; Haiman, Christopher A.; Hamann, Ute; Hopper, John L.; Jakubowska, Anna; Leeuwen, Floor E.; Lindblom, Annika; Lubiński, Jan; Margolin, Sara; Martinez, Maria Elena; Nevanlinna, Heli; Nevelsteen, Ines; Pelders, Saskia; Pharoah, Paul D. P.; Siesling, Sabine; Southey, Melissa C.; van der Hout, Annemieke H.; van Hest, Liselotte P.; Chang-Claude, Jenny; Hall, Per; Easton, Douglas F.; Steyerberg, Ewout W.; Schmidt, Marjanka K.

doi:10.1186/s13058-022-01579-z

Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

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Published: 22 November 2022

Volume 24, article number 82, (2022)
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Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

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Daniele Giardiello^1,2,3,
Maartje J. Hooning⁴,
Michael Hauptmann⁵,
Renske Keeman¹,
B. A. M. Heemskerk-Gerritsen⁴,
Heiko Becher⁶,
Carl Blomqvist^7,8,
Stig E. Bojesen^9,10,11,
Manjeet K. Bolla¹²,
Nicola J. Camp¹³,
Kamila Czene¹⁴,
Peter Devilee^15,16,
Diana M. Eccles¹⁷,
Peter A. Fasching^18,19,
Jonine D. Figueroa^20,21,22,
Henrik Flyger²³,
Montserrat García-Closas²²,
Christopher A. Haiman²⁴,
Ute Hamann²⁵,
John L. Hopper²⁶,
Anna Jakubowska^27,28,
Floor E. Leeuwen²⁹,
Annika Lindblom^30,31,
Jan Lubiński²⁷,
Sara Margolin^32,33,
Maria Elena Martinez^34,35,
Heli Nevanlinna³⁶,
Ines Nevelsteen³⁷,
Saskia Pelders⁴,
Paul D. P. Pharoah^12,38,
Sabine Siesling^39,40,
Melissa C. Southey^41,42,43,
Annemieke H. van der Hout⁴⁴,
Liselotte P. van Hest⁴⁵,
Jenny Chang-Claude^46,47,
Per Hall^14,32,
Douglas F. Easton^12,38,
Ewout W. Steyerberg^2,48 &
…
Marjanka K. Schmidt^1,29

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The Original Article was published on 21 October 2022

Correction to: Breast Cancer Research (2022) 24:69 https://doi.org/10.1186/s13058-022-01567-3

Following publication of the original article [1], the authors flagged the following error in the '3. Formula to estimate the contralateral breast cancer risk using PredictCBC-2.0A' section of additional file 1: ‘+ 0.065 × I[Radiotherapy to the breast = yes]’ had been written in place of ‘− 0.065 × I[Radiotherapy to the breast = yes]‘.

The file has since been corrected. The authors thank you for reading and apologize for any inconvenience caused.

Reference

Giardiello, et al. PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients. Breast Cancer Res. 2022;24:69. https://doi.org/10.1186/s13058-022-01567-3.
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Authors and Affiliations

Division of Molecular Pathology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Plesmanlaan 121, 1066 CX, Amsterdam, The Netherlands
Daniele Giardiello, Renske Keeman & Marjanka K. Schmidt
Department of Biomedical Data Sciences, Leiden University Medical Center, Leiden, The Netherlands
Daniele Giardiello & Ewout W. Steyerberg
Institute of Biomedicine, EURAC Research Affiliated Institute of the University of Lübeck, Bolzano, Italy
Daniele Giardiello
Department of Medical Oncology, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
Maartje J. Hooning, B. A. M. Heemskerk-Gerritsen & Saskia Pelders
Brandenburg Medical School, Institute of Biostatistics and Registry Research, Neuruppin, Germany
Michael Hauptmann
Institute of Medical Biometry and Epidemiology, University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Heiko Becher
Department of Oncology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
Carl Blomqvist
Department of Oncology, Örebro University Hospital, Örebro, Sweden
Carl Blomqvist
Copenhagen General Population Study, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
Stig E. Bojesen
Department of Clinical Biochemistry, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
Stig E. Bojesen
Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
Stig E. Bojesen
Department of Public Health and Primary Care, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
Manjeet K. Bolla, Paul D. P. Pharoah & Douglas F. Easton
Department of Internal Medicine and Huntsman Cancer Institute, University of Utah, Salt Lake City, UT, USA
Nicola J. Camp
Department of Medical Epidemiology and Biostatistics, Karolinska Institutet, Stockholm, Sweden
Kamila Czene & Per Hall
Department of Pathology, Leiden University Medical Center, Leiden, The Netherlands
Peter Devilee
Department of Human Genetics, Leiden University Medical Center, Leiden, The Netherlands
Peter Devilee
Faculty of Medicine, University of Southampton, Southampton, UK
Diana M. Eccles
Division of Hematology and Oncology, Department of Medicine, David Geffen School of Medicine, University of California at Los Angeles, Los Angeles, CA, USA
Peter A. Fasching
Department of Gynecology and Obstetrics, Comprehensive Cancer Center Erlangen-EMN, University Hospital Erlangen, Friedrich-Alexander University Erlangen-Nuremberg (FAU), Erlangen, Germany
Peter A. Fasching
Usher Institute of Population Health Sciences and Informatics, The University of Edinburgh, Edinburgh, UK
Jonine D. Figueroa
Cancer Research UK Edinburgh Centre, The University of Edinburgh, Edinburgh, UK
Jonine D. Figueroa
Division of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute, National Institutes of Health, Bethesda, MD, USA
Jonine D. Figueroa & Montserrat García-Closas
Department of Breast Surgery, Herlev and Gentofte Hospital, Copenhagen University Hospital, Herlev, Denmark
Henrik Flyger
Department of Preventive Medicine, Keck School of Medicine, University of Southern California, Los Angeles, CA, USA
Christopher A. Haiman
Molecular Genetics of Breast Cancer, German Cancer Research Center (DKFZ), Heidelberg, Germany
Ute Hamann
Melbourne School of Population and Global Health, Centre for Epidemiology and Biostatistics, The University of Melbourne, Melbourne, VIC, Australia
John L. Hopper
Department of Genetics and Pathology, Pomeranian Medical University, Szczecin, Poland
Anna Jakubowska & Jan Lubiński
Independent Laboratory of Molecular Biology and Genetic Diagnostics, Pomeranian Medical University, Szczecin, Poland
Anna Jakubowska
Division of Psychosocial Research and Epidemiology, The Netherlands Cancer Institute - Antoni Van Leeuwenhoek Hospital, Amsterdam, The Netherlands
Floor E. Leeuwen & Marjanka K. Schmidt
Department of Molecular Medicine and Surgery, Karolinska Institutet, Stockholm, Sweden
Annika Lindblom
Department of Clinical Genetics, Karolinska University Hospital, Stockholm, Sweden
Annika Lindblom
Department of Oncology, Södersjukhuset, Stockholm, Sweden
Sara Margolin & Per Hall
Department of Clinical Science and Education, Karolinska Institutet, Södersjukhuset, Stockholm, Sweden
Sara Margolin
Moores Cancer Center, University of California San Diego, La Jolla, CA, USA
Maria Elena Martinez
Herbert Wertheim School of Public Health and Human Longevity Science, University of California San Diego, La Jolla, CA, USA
Maria Elena Martinez
Department of Obstetrics and Gynecology, Helsinki University Hospital, University of Helsinki, Helsinki, Finland
Heli Nevanlinna
Department of Oncology, Leuven Multidisciplinary Breast Center, Leuven Cancer Institute, University Hospitals Leuven, Louven, Belgium
Ines Nevelsteen
Department of Oncology, Centre for Cancer Genetic Epidemiology, University of Cambridge, Cambridge, UK
Paul D. P. Pharoah & Douglas F. Easton
Department of Research and Development, Netherlands Comprehensive Cancer Organisation (IKNL), Utrecht, The Netherlands
Sabine Siesling
Department of HealthTechnology and Services Research, Technical Medical Centre, University of Twente, Enschede, The Netherlands
Sabine Siesling
Precision Medicine, School of Clinical Sciences at Monash Health, Monash University, Clayton, VIC, Australia
Melissa C. Southey
Department of Clinical Pathology, The University of Melbourne, Melbourne, VIC, Australia
Melissa C. Southey
Cancer Epidemiology Division, Cancer Council Victoria, Melbourne, VIC, Australia
Melissa C. Southey
Department of Genetics, University Medical Center Groningen, University Groningen, Groningen, The Netherlands
Annemieke H. van der Hout
Clinical Genetics, Amsterdam UMC, Vrije Universiteit Amsterdam, Amsterdam, The Netherlands
Liselotte P. van Hest
Division of Cancer Epidemiology, German Cancer Research Center (DKFZ), Heidelberg, Germany
Jenny Chang-Claude
Cancer Epidemiology Group, University Cancer Center Hamburg (UCCH), University Medical Center Hamburg-Eppendorf, Hamburg, Germany
Jenny Chang-Claude
Department of Public Health, Erasmus MC Cancer Institute, Rotterdam, The Netherlands
Ewout W. Steyerberg

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Daniele Giardiello
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Maartje J. Hooning
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Michael Hauptmann
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Renske Keeman
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B. A. M. Heemskerk-Gerritsen
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Heiko Becher
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Carl Blomqvist
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Stig E. Bojesen
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Manjeet K. Bolla
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Nicola J. Camp
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Kamila Czene
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Peter Devilee
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Diana M. Eccles
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Peter A. Fasching
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Jonine D. Figueroa
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Henrik Flyger
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Montserrat García-Closas
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Christopher A. Haiman
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Ute Hamann
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John L. Hopper
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Anna Jakubowska
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Floor E. Leeuwen
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Annika Lindblom
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Jan Lubiński
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Sara Margolin
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Maria Elena Martinez
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Heli Nevanlinna
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Ines Nevelsteen
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Saskia Pelders
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Paul D. P. Pharoah
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Sabine Siesling
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Melissa C. Southey
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Annemieke H. van der Hout
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Liselotte P. van Hest
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Jenny Chang-Claude
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Per Hall
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Douglas F. Easton
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Ewout W. Steyerberg
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Correspondence to Marjanka K. Schmidt.

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Giardiello, D., Hooning, M.J., Hauptmann, M. et al. Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients. Breast Cancer Res 24, 82 (2022). https://doi.org/10.1186/s13058-022-01579-z

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Published: 22 November 2022
DOI: https://doi.org/10.1186/s13058-022-01579-z

Correction: PredictCBC-2.0: a contralateral breast cancer risk prediction model developed and validated in ~ 200,000 patients

Correction to: Breast Cancer Research (2022) 24:69 https://doi.org/10.1186/s13058-022-01567-3

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