Projects per year
Abstract
Experimental Design: Breast tumors (n = 3,023) from the population-based Sweden Cancerome Analysis Network–Breast initiative were profiled by RNA sequencing and linked to clinicopathologic characteristics. Seven machine-learning models present the discriminative ability of N0/N+ in development (n = 2,278) and independent validation cohorts (n = 745) stratified as ER+HER2−, HER2+, and TNBC. Possible SLNB reduction rates are proposed by applying CLINICAL and MIXED predictors.
Results: In the validation cohort, the MIXED predictor showed the highest area under ROC curves to assess nodal metastasis; AUC = 0.72. For the subgroups, the AUCs for MIXED, CLINICAL, and GEX predictors ranged from 0.66 to 0.72, 0.65 to 0.73, and 0.58 to 0.67, respectively. Enriched proliferation metagene and luminal B features were noticed in node-positive ER+HER2− and HER2+ tumors, while upregulated basal-like features were observed in node-negative TNBC tumors. The SLNB reduction rates in patients with ER+HER2− tumors were 6% to 7% higher for the MIXED predictor compared with the CLINICAL predictor accepting false negative rates of 5% to 10%.
Conclusions: Although CLINICAL and MIXED predictors of nodal metastasis had comparable accuracy, the MIXED predictor identified more node-negative patients. This translational approach holds promise for development of classifiers to reduce the rates of SLNB for patients at low risk of nodal involvement.
Original language | English |
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Pages (from-to) | 6368-6381 |
Journal | Clinical Cancer Research |
Volume | 25 |
Issue number | 21 |
DOIs | |
Publication status | Published - 2019 Jul 24 |
Subject classification (UKÄ)
- Cancer and Oncology
Fingerprint
Dive into the research topics of 'Prediction of lymph node metastasis in breast cancer by gene expression and clinicopathological models: Development and validation within a population based cohort.'. Together they form a unique fingerprint.Projects
- 2 Active
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Genomisk karakterisering av trippelnegativ bröstcancer (TNBC)
Staaf, J. (Researcher), Karlsson, A. K. (Researcher), Aine, M. (Researcher) & Liljedahl, H. (Researcher)
Cancerfonden, Mrs. Berta Kamprad's Cancer Foundation
2019/07/01 → 2028/12/31
Project: Research
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Sweden Cancerome Analysis Network - Breast (SCAN-B): a large-scale multicenter infrastructure towards implementation of breast cancer genomic analyses in the clinical routine
Borg, Å. (PI), Ehinger, A. (PI), Hegardt, C. (PI), Larsson, C. (PI), Loman, N. (PI), Malmberg, M. (PI), Ryden, L. (PI) & Saal, L. (PI)
Mrs. Berta Kamprad's Cancer Foundation
2009/06/01 → …
Project: Network
Activities
- 1 Member of board/committee/council etc
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Sweden Cancerome Analysis Network – Breast (SCAN-B)
Ehinger, A. (Contributor)
2010 → …Activity: Consultancy, expert advice and memberships › Member of board/committee/council etc