DUCHESS: an evaluation of the ductal carcinoma in situ score for decisions on radiotherapy in patients with low/intermediate-risk DCIS.


Journal

Breast cancer research and treatment
ISSN: 1573-7217
Titre abrégé: Breast Cancer Res Treat
Pays: Netherlands
ID NLM: 8111104

Informations de publication

Date de publication:
Jul 2021
Historique:
received: 05 12 2020
accepted: 10 03 2021
pubmed: 9 4 2021
medline: 30 6 2021
entrez: 8 4 2021
Statut: ppublish

Résumé

Identification of women with DCIS who have a very low risk of local recurrence risk (LRR) after breast-conserving surgery (BCS) is needed to de-escalate therapy. We evaluated the impact of 10-year LRR estimates after BCS, calculated by the integration of a 12-gene molecular expression assay (Oncotype Breast DCIS Score Prospective cohort study of women with DCIS treated with BCS. Eligibility criteria were as follows: age > 45 years, tumor ≤ 2.5 cm, and margins ≥ 1 mm. Radiation oncologists provided 10-year LRR estimates without RT and recommendation for RT pre- and post-assay. Primary outcome was change in RT recommendation. 217 patients were evaluable, with mean age = 63 years, mean tumor size = 1.1 cm, and mean DCIS Score = 32; 140 (64%) were in the low-risk (<39), 32 (15%) were in the intermediate-risk (39-54), and 45 (21%) were in the high-risk groups (≥55). The assay led to a change in treatment recommendation in 76 (35.2%) (95%CI 29.1-41.8%) patients. RT recommendations decreased from 79% pre-assay to 50% post-assay (difference = 29%; 95%CI 22-35%) due to a significant increase in the proportion of patients with a predicted low LRR (< 10%) post-assay and recommendations to omit RT for those with a low predicted risk. The assay was associated with improved patient satisfaction and reduced decisional conflict. The DCIS Score assay combined with CPFs identified more women with an estimated low (<10%) 10-yr LR risk after BCS, leading to a significant decrease in recommendations for RT compared to estimates based on CPFs alone.

Sections du résumé

BACKGROUND BACKGROUND
Identification of women with DCIS who have a very low risk of local recurrence risk (LRR) after breast-conserving surgery (BCS) is needed to de-escalate therapy. We evaluated the impact of 10-year LRR estimates after BCS, calculated by the integration of a 12-gene molecular expression assay (Oncotype Breast DCIS Score
METHODS METHODS
Prospective cohort study of women with DCIS treated with BCS. Eligibility criteria were as follows: age > 45 years, tumor ≤ 2.5 cm, and margins ≥ 1 mm. Radiation oncologists provided 10-year LRR estimates without RT and recommendation for RT pre- and post-assay. Primary outcome was change in RT recommendation.
RESULTS RESULTS
217 patients were evaluable, with mean age = 63 years, mean tumor size = 1.1 cm, and mean DCIS Score = 32; 140 (64%) were in the low-risk (<39), 32 (15%) were in the intermediate-risk (39-54), and 45 (21%) were in the high-risk groups (≥55). The assay led to a change in treatment recommendation in 76 (35.2%) (95%CI 29.1-41.8%) patients. RT recommendations decreased from 79% pre-assay to 50% post-assay (difference = 29%; 95%CI 22-35%) due to a significant increase in the proportion of patients with a predicted low LRR (< 10%) post-assay and recommendations to omit RT for those with a low predicted risk. The assay was associated with improved patient satisfaction and reduced decisional conflict.
CONCLUSION CONCLUSIONS
The DCIS Score assay combined with CPFs identified more women with an estimated low (<10%) 10-yr LR risk after BCS, leading to a significant decrease in recommendations for RT compared to estimates based on CPFs alone.

Identifiants

pubmed: 33830392
doi: 10.1007/s10549-021-06187-7
pii: 10.1007/s10549-021-06187-7
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

133-139

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Auteurs

Eileen Rakovitch (E)

Sunnybrook Health Sciences Centre, University of Toronto, T Wing 2075 Bayview Avenue, Toronto, ON, Canada. eileen.rakovitch@sunnybrook.ca.
IC/ES, Toronto, ON, Canada. eileen.rakovitch@sunnybrook.ca.

Sameer Parpia (S)

Juravinski Cancer Centre, McMaster University, 699 Concession Street, Hamilton, ON, Canada.

Anne Koch (A)

Princess Margaret Cancer Centre, University of Toronto, Toronto, ON, Canada.

Laval Grimard (L)

The Ottawa Hospital Cancer Centre, University of Ottawa, Ottawa, ON, Canada.

Hany Soliman (H)

Sunnybrook Health Sciences Centre, University of Toronto, T Wing 2075 Bayview Avenue, Toronto, ON, Canada.

Christiaan Stevens (C)

Royal Victoria Regional Health Centre, Barrie, ON, Canada.

Francisco Perera (F)

London Regional Cancer Centre, University of Western Ontario, London, ON, Canada.

Iwa Kong (I)

Juravinski Cancer Centre, McMaster University, 699 Concession Street, Hamilton, ON, Canada.

Senti Senthelal (S)

Trillium Health Partners, Mississauga, ON, Canada.

Margaret Anthes (M)

Thunder Bay Regional Health Sciences Centre, Thunder Bay, ON, Canada.

Ericka Wiebe (E)

Cross Cancer Institute, University of Alberta, Edmonton, AB, Canada.

Jeffrey Cao (J)

Tom Baker Cancer Centre, University of Calgary, Calgary, AB, Canada.

Mira Goldberg (M)

Juravinski Cancer Centre, McMaster University, 699 Concession Street, Hamilton, ON, Canada.

Sally Smith (S)

BC Cancer Agency, University of British Columbia, Victoria, BC, Canada.

Luciana Spadafora (L)

Juravinski Cancer Centre, McMaster University, 699 Concession Street, Hamilton, ON, Canada.

Timothy J Whelan (TJ)

Juravinski Cancer Centre, McMaster University, 699 Concession Street, Hamilton, ON, Canada. whelan@hhsc.ca.

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