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Sökning: onr:"swepub:oai:lup.lub.lu.se:6ef6701b-efc7-492b-a141-ad068571e7b9" > Clinical Value of R...

Clinical Value of RNA Sequencing–Based Classifiers for Prediction of the Five Conventional Breast Cancer Biomarkers: A Report From the Population-Based Multicenter Sweden Cancerome Analysis Network—Breast Initiative

Brueffer, Christian (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Translational Oncogenomics,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
Vallon-Christersson, Johan (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine
Grabau, Dorthe (författare)
Skåne University Hospital
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Ehinger, Anna (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Individuell Bröstcancerbehandling,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Personalized Breast Cancer Treatment,Lund University Research Groups,Blekinge Hospital,Skåne University Hospital
Häkkinen, Jari (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine
Hegardt, Cecilia (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine
Malina, Janne (författare)
Skåne University Hospital
Chen, Yilun (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Translational Oncogenomics,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
Bendahl, Pär-Ola (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Individuell Bröstcancerbehandling,Forskargrupper vid Lunds universitet,The Liquid Biopsy och Tumörprogression i Bröstcancer,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Personalized Breast Cancer Treatment,Lund University Research Groups,The Liquid Biopsy and Tumor Progression in Breast Cancer
Manjer, Jonas (författare)
Lund University,Lunds universitet,Kirurgi,Forskargrupper vid Lunds universitet,Surgery,Lund University Research Groups,Skåne University Hospital
Malmberg, Martin (författare)
Skåne University Hospital
Larsson, Christer (författare)
Lund University,Lunds universitet,Avdelningen för translationell cancerforskning,Institutionen för laboratoriemedicin,Medicinska fakulteten,Tumörcellsbiologi,Forskargrupper vid Lunds universitet,Division of Translational Cancer Research,Department of Laboratory Medicine,Faculty of Medicine,Tumor Cell Biology,Lund University Research Groups
Loman, Niklas (författare)
Lund University,Lunds universitet,Tumörmikromiljö,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Bröstcancer-genetik,Institutionen för kliniska vetenskaper, Lund,Tumor microenvironment,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Breastcancer-genetics,Department of Clinical Sciences, Lund,Skåne University Hospital
Rydén, Lisa (författare)
Lund University,Lunds universitet,Kirurgi, Lund,Sektion V,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Bröstcancerkirurgi,Forskargrupper vid Lunds universitet,The Liquid Biopsy och Tumörprogression i Bröstcancer,Surgery (Lund),Section V,Department of Clinical Sciences, Lund,Faculty of Medicine,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Breast Cancer Surgery,Lund University Research Groups,The Liquid Biopsy and Tumor Progression in Breast Cancer,Skåne University Hospital
Borg, Åke (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Familjär bröstcancer,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Familial Breast Cancer,Lund University Research Groups
Saal, Lao H. (författare)
Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Translational Oncogenomics,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Lund University Research Groups
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 (creator_code:org_t)
2018
2018
Engelska.
Ingår i: JCO Precision Oncology. - 2473-4284. ; 2, s. 1-18
Relaterad länk:
http://dx.doi.org/10... (free)
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https://lup.lub.lu.s...
https://doi.org/10.1...
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  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • PurposeIn early breast cancer (BC), five conventional biomarkers—estrogen receptor (ER), progesterone receptor (PgR), human epidermal growth factor receptor 2 (HER2), Ki67, and Nottingham histologic grade (NHG)—are used to determine prognosis and treatment. We aimed to develop classifiers for these biomarkers that were based on tumor mRNA sequencing (RNA-seq), compare classification performance, and test whether such predictors could add value for risk stratification.MethodsIn total, 3,678 patients with BC were studied. For 405 tumors, a comprehensive multi-rater histopathologic evaluation was performed. Using RNA-seq data, single-gene classifiers and multigene classifiers (MGCs) were trained on consensus histopathology labels. Trained classifiers were tested on a prospective population-based series of 3,273 BCs that included a median follow-up of 52 months (Sweden Cancerome Analysis Network—Breast [SCAN-B], ClinicalTrials.gov identifier: NCT02306096), and results were evaluated by agreement statistics and Kaplan-Meier and Cox survival analyses.ResultsPathologist concordance was high for ER, PgR, and HER2 (average κ, 0.920, 0.891, and 0.899, respectively) but moderate for Ki67 and NHG (average κ, 0.734 and 0.581). Concordance between RNA-seq classifiers and histopathology for the independent cohort of 3,273 was similar to interpathologist concordance. Patients with discordant classifications, predicted as hormone responsive by histopathology but non–hormone responsive by MGC, had significantly inferior overall survival compared with patients who had concordant results. This extended to patients who received no adjuvant therapy (hazard ratio [HR], 3.19; 95% CI, 1.19 to 8.57), or endocrine therapy alone (HR, 2.64; 95% CI, 1.55 to 4.51). For cases identified as hormone responsive by histopathology and who received endocrine therapy alone, the MGC hormone-responsive classifier remained significant after multivariable adjustment (HR, 2.45; 95% CI, 1.39 to 4.34).ConclusionClassification error rates for RNA-seq–based classifiers for the five key BC biomarkers generally were equivalent to conventional histopathology. However, RNA-seq classifiers provided added clinical value in particular for tumors determined by histopathology to be hormone responsive but by RNA-seq to be hormone insensitive.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
NATURVETENSKAP  -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
NATURAL SCIENCES  -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
NATURVETENSKAP  -- Biologi -- Bioinformatik och systembiologi (hsv//swe)
NATURAL SCIENCES  -- Biological Sciences -- Bioinformatics and Systems Biology (hsv//eng)

Nyckelord

breast cancer
biomarker
prediction
machine learning

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art (ämneskategori)
ref (ämneskategori)

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