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Identification and validation of single-sample breast cancer radiosensitivity gene expression predictors
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- Sjöström, Martin (author)
- 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,Skåne University Hospital,Skane Univ Hosp, Dept Haematol Oncol & Radiat Phys, Lund, Sweden;Lund Univ, Dept Clin Sci Lund Oncol & Pathol, Fac Med, Lund, Sweden
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- Staaf, Johan (author)
- 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,Lund Univ, Dept Clin Sci Lund Oncol & Pathol, Fac Med, Lund, Sweden
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- Edén, Patrik (author)
- Lund University,Lunds universitet,Beräkningsbiologi och biologisk fysik - Har omorganiserats,Institutionen för astronomi och teoretisk fysik - Har omorganiserats,Naturvetenskapliga fakulteten,Computational Biology and Biological Physics - Has been reorganised,Department of Astronomy and Theoretical Physics - Has been reorganised,Faculty of Science,Lund Univ, Dept Theoret Phys & Computat Biol, Lund, Sweden
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- Wärnberg, Fredrik (author)
- Uppsala universitet,Uppsala University,Endokrinkirurgi
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- Bergh, Jonas (author)
- Karolinska Institutet,Karolinska Institute,Karolinska University Hospital,Karolinska Univ Hosp, Radiumhemmet, Dept Oncol, Stockholm, Sweden;Karolinska Inst, Canc Ctr Karolinska, Dept Oncol & Pathol, Stockholm, Sweden
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- Malmström, Per (author)
- 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,Skåne University Hospital,Skane Univ Hosp, Dept Haematol Oncol & Radiat Phys, Lund, Sweden;Lund Univ, Dept Clin Sci Lund Oncol & Pathol, Fac Med, Lund, Sweden
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- Fernö, Mårten (author)
- 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,Lund Univ, Dept Clin Sci Lund Oncol & Pathol, Fac Med, Lund, Sweden
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- Niméus, Emma (author)
- Lund University,Lunds universitet,Bröstcancer-genetik,Sektion I,Institutionen för kliniska vetenskaper, Lund,Medicinska fakulteten,Bröstcancerkirurgi,Forskargrupper vid Lunds universitet,Breastcancer-genetics,Section I,Department of Clinical Sciences, Lund,Faculty of Medicine,Breast Cancer Surgery,Lund University Research Groups,Skåne University Hospital,Lund Univ, Dept Clin Sci Lund, Fac Med, Surg, Lund, Sweden;Lund Univ, Dept Clin Sci Lund Oncol & Pathol, Fac Med, Lund, Sweden;Skane Univ Hosp, Dept Surg, Lund, Sweden
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- Fredriksson, Irma (author)
- Karolinska Institutet,Karolinska Institute,Karolinska University Hospital,Karolinska Univ Hosp, Dept Breast & Endocrine Surg, Stockholm, Sweden;Karolinska Inst, Dept Mol Med & Surg, Stockholm, Sweden
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(creator_code:org_t)
- 2018-07-04
- 2018
- English.
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In: Breast Cancer Research. - : Springer Science and Business Media LLC. - 1465-5411 .- 1465-542X. ; 20:1
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Abstract
Subject headings
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- Background: Adjuvant radiotherapy is the standard of care after breast-conserving surgery for primary breast cancer, despite a majority of patients being over- or under-treated. In contrast to adjuvant endocrine therapy and chemotherapy, no diagnostic tests are in clinical use that can stratify patients for adjuvant radiotherapy. This study presents the development and validation of a targeted gene expression assay to predict the risk of ipsilateral breast tumor recurrence and response to adjuvant radiotherapy after breast-conserving surgery in primary breast cancer. Methods: Fresh-frozen primary tumors from 336 patients radically (clear margins) operated on with breast-conserving surgery with or without radiotherapy were collected. Patients were split into a discovery cohort (N = 172) and a validation cohort (N = 164). Genes predicting ipsilateral breast tumor recurrence in an Illumina HT12 v4 whole transcriptome analysis were combined with genes identified in the literature (248 genes in total) to develop a targeted radiosensitivity assay on the Nanostring nCounter platform. Single-sample predictors for ipsilateral breast tumor recurrence based on a k-top scoring pairs algorithm were trained, stratified for estrogen receptor (ER) status and radiotherapy. Two previously published profiles, the radiosensitivity signature of Speers et al., and the 10-gene signature of Eschrich et al., were also included in the targeted panel. Results: Derived single-sample predictors were prognostic for ipsilateral breast tumor recurrence in radiotherapy-treated ER+ patients (AUC 0.67, p = 0.01), ER+ patients without radiotherapy (AUC = 0.89, p = 0.02), and radiotherapy-treated ER- patients (AUC = 0.78, p < 0.001). Among ER+ patients, radiotherapy had an excellent effect on tumors classified as radiosensitive (p < 0.001), while radiotherapy had no effect on tumors classified as radioresistant (p = 0.36) and there was a high risk of ipsilateral breast tumor recurrence (55% at 10 years). Our single-sample predictors developed in ER+ tumors and the radiosensitivity signature correlated with proliferation, while single-sample predictors developed in ER- tumors correlated with immune response. The 10-gene signature negatively correlated with both proliferation and immune response. Conclusions: Our targeted single-sample predictors were prognostic for ipsilateral breast tumor recurrence and have the potential to stratify patients for adjuvant radiotherapy. The correlation of models with biology may explain the different performance in subgroups of breast cancer.
Subject headings
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Cancer och onkologi (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Cancer and Oncology (hsv//eng)
- MEDICIN OCH HÄLSOVETENSKAP -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
- MEDICAL AND HEALTH SCIENCES -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)
Keyword
- Breast cancer
- Gene expression
- Ipsilateral breast tumor recurrence
- Local recurrence
- Nanostring
- NCounter
- Radioresistance
- Radiosensitivity
- Radiotherapy
- Breast cancer
Publication and Content Type
- art (subject category)
- ref (subject category)
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