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- Bremer, Troy, et al.
(författare)
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A Biological Signature for Breast Ductal Carcinoma In Situ to Predict Radiotherapy Benefit and Assess Recurrence Risk
- 2018
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Ingår i: Clinical cancer research : an official journal of the American Association for Cancer Research. - 1078-0432 .- 1557-3265. ; 24:23, s. 5895-5901
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Tidskriftsartikel (refereegranskat)abstract
- PURPOSE: Ductal carcinoma in situ (DCIS) patients and their physicians currently face challenging treatment decisions with limited information about the individual's subsequent breast cancer risk or treatment benefit. The DCISionRT biological signature developed in this study provides recurrence risk and predicts radiotherapy (RT) benefit for DCIS patients following breast-conserving surgery (BCS).EXPERIMENTAL DESIGN: A biological signature that calculates an individualized Decision Score (DS) was developed and cross-validated in 526 DCIS patients treated with BCS ± RT. The relationship was assessed between DS and 10-year risk of invasive breast cancer (IBC) or any ipsilateral breast event (IBE), including IBC or DCIS. RT benefit was evaluated by risk group and as a function of DS.RESULTS: The DS was significantly associated with IBC and IBE risk, HR (per 5 units) of 4.2 and 3.1, respectively. For patients treated without RT, DS identified a Low Group with 10-year IBC risk of 4% (7% IBE) and an Elevated Risk Group with IBC risk of 15% (23% IBE). In analysis of DS and RT by group, the Elevated Risk Group received significant RT benefit, HR of 0.3 for IBC and IBE. In a clinicopathologically low-risk subset, DS reclassified 42% of patients into the Elevated Risk Group. In an interaction analysis of DS and RT, patients with elevated DS had significant RT benefit over baseline.CONCLUSIONS: The DS was prognostic for risk and predicted RT benefit for DCIS patients. DS identified a clinically meaningful low-risk group and a group with elevated 10-year risks that received substantial RT benefit over baseline.
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| 4. |
- Wadsten, Charlotta, et al.
(författare)
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Risk stratification in early stage luminal breast cancer patients treated with and without RT
- 2019
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Ingår i: Journal of Clinical Oncology. - Umea Univ, Dept Surg & Perioperat Sci, Umea, Sweden. Nashville Breast Ctr, Nashville, TN USA. Univ WI Hosp, Madison, WI USA. PreludeDx, Laguna Hills, CA USA. Uppsala Univ, Reg Oncol Ctr, Uppsala, Sweden. : American Society of Clinical Oncology. - 0732-183X .- 1527-7755. ; 37:15, s. 568-568
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Tidskriftsartikel (övrigt vetenskapligt/konstnärligt)abstract
- Background: The goal was to develop and validate a biologic signature for 10-year ipsilateral invasive breast event (IBE) risk in luminal Stage 1 breast cancer (BC) patients treated surgically and either with or without radiation therapy (RT). Methods: This cohort was from Uppsala University and Västerås Hospitals diagnosed with Stage 1 BC and treated surgically between 1987 and 2004. Treatment was neither randomized nor strictly rules based, including adjuvant RT, Hormone Therapy (HT), and Chemotherapy (CT). Biomarkers (HER2, PR, Ki67, COX2, p16/INK4A, FOXA1 and SIAH2) were assessed on tissue microarrays in PreludeDx’s CLIA lab by board-certified pathologists. Risk groups were calculated using biomarkers and clinical factors age and size. A multivariate Cox proportional hazards analysis was used to determine hazard ratio for biologic signature. 10-year IBE risk was assessed using Kaplan-Meier survival analysis. Results: There were 423 luminal cases with biomarker data having 54 IBEs, and a median follow-up of 11.8 years. There were 372 patients treated with BCS and 51 with Mastectomy, and 325 received RT, 169 received HT, and 47 received CT. In a multivariate analysis, the biologic signature (HR = 1.6, p = 0.019) and RT (HR = 0.51, p = 0.027) were associated with IBE risk adjusting for other treatments (HT and CT) and Luminal A status (p = 0.37). For patients over 50 yrs of age with luminal A disease and treated without CT (n = 205), an elevated biologic signature identified a subset of patients with a 15% (+/- 14%) 10-year IBE risk without RT (n = 38) compared to a 4% (+/-6%) IBE risk with RT (n = 72), while patients with a low biologic signature had a 10-year IBE risk of 4% (+/- 4%) without RT (n = 26) and 3% (+/-5%) IBE risk with RT (n = 69). Conclusions: With further prospective validation, the biologic signature identified herein may provide a tool enabling improved management for women diagnosed with early luminal BC.
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- Wärnberg, Fredrik, et al.
(författare)
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Prognostic Risk Assessment and Prediction of Radiotherapy Benefit for Women with Ductal Carcinoma In Situ (DCIS) of the Breast, in a Randomized Clinical Trial (SweDCIS).
- 2021
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Ingår i: Cancers. - : MDPI AG. - 2072-6694. ; 13:23
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Tidskriftsartikel (refereegranskat)abstract
- Prediction of radiotherapy (RT) benefit after breast-conserving surgery (BCS) for DCIS is crucial. The aim was to validate a biosignature, DCISionRT®, in the SweDCIS randomized trial. Women were randomly assigned to RT or not after BCS, between 1987 and 2000. Tumor blocks were collected, and slides were sent to PreludeDxTM for testing. In 504 women with complete data and negative margins, DCISionRT divided 52% women into Elevated (DS > 3) and 48% in Low (DS ≤ 3) Risk groups. In the Elevated Risk group, RT significantly decreased relative 10-year ipsilateral total recurrence (TotBE) and 10-year ipsilateral invasive recurrence (InvBE) rates, HR 0.32 and HR 0.24, with absolute decreases of 15.5% and 9.3%. In the Low Risk group, there were no significant risk differences observed with radiotherapy. Using a cutoff of DS > 3.0, the test was not predictive for RT benefit (p = 0.093); however, above DS > 2.8 RT benefit was greater for InvBE (interaction p = 0.038). Recurrences at 10 years without radiotherapy increased significantly per 5 DS units (TotBE HR:1.5 and InvBE HR:1.5). Continuous DS was prognostic for TotBE risk although categorical DS did not reach significance. Absolute 10-year TotBE and InvBE risks appear sufficiently different to indicate that DCISionRT can aid physicians in selecting individualized adjuvant DCIS treatment strategies. Further analyses are planned in combined cohorts to increase statistical power.
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