Literature DB >> 33389397

Treating (low-risk) DCIS patients: What can we learn from real-world cancer registry evidence?

Danalyn Byng1,2, Valesca P Retèl3,4, Michael Schaapveld3, Jelle Wesseling5, Wim H van Harten3,4.   

Abstract

PURPOSE: Results from active surveillance trials for ductal carcinoma in situ (DCIS) will not be available for > 10 years. A model based on real-world data (RWD) can demonstrate the comparative impact of non-intervention for women with low-risk features.
METHODS: Multi-state models were developed using Surveillance, Epidemiology, and End Results Program (SEER) data for three treatment strategies (no local treatment, breast conserving surgery [BCS], BCS + radiotherapy [RT]), and for women with DCIS low-risk features. Eligible cases included women aged ≥ 40 years, diagnosed with primary DCIS between 1992 and 2016. Five mutually exclusive health states were modelled: DCIS, ipsilateral invasive breast cancer (iIBC) ≤ 5 years and > 5 years post-DCIS diagnosis, contralateral IBC, death preceded by and death not preceded by IBC. Propensity score-weighted Cox models assessed effects of treatment, age, diagnosis year, grade, ER status, and race.
RESULTS: Data on n = 85,982 women were used. Increased risk of iIBC ≤ 5 years post-DCIS was demonstrated for ages 40-49 (Hazard ratio (HR) 1.86, 95% Confidence Interval (CI) 1.34-2.57 compared to age 50-69), grade 3 lesions (HR 1.42, 95%CI 1.05-1.91) compared to grade 2, lesion size ≥ 2 cm (HR 1.66, 95%CI 1.23-2.25), and Black race (HR 2.52, 95%CI 1.83-3.48 compared to White). According to the multi-state model, propensity score-matched women with low-risk features who had not died or experienced any subsequent breast event by 10 years, had a predicted probability of iIBC as first event of 3.02% for no local treatment, 1.66% for BCS, and 0.42% for BCS+RT.
CONCLUSION: RWD from the SEER registry showed that women with primary DCIS and low-risk features demonstrate minimal differences by treatment strategy in experiencing subsequent breast events. There may be opportunity to de-escalate treatment for certain women with low-risk features: Hispanic and non-Hispanic white women aged 50-69 at diagnosis, with ER+, grade 1 + 2, < 2 cm DCIS lesions.

Entities:  

Keywords:  Active surveillance; Ductal carcinoma in situ; Multi-state modeling; Real-world data

Year:  2021        PMID: 33389397     DOI: 10.1007/s10549-020-06042-1

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  1 in total

Review 1.  Cancer health disparities in racial/ethnic minorities in the United States.

Authors:  Valentina A Zavala; Paige M Bracci; John M Carethers; Luis Carvajal-Carmona; Nicole B Coggins; Marcia R Cruz-Correa; Melissa Davis; Adam J de Smith; Julie Dutil; Jane C Figueiredo; Rena Fox; Kristi D Graves; Scarlett Lin Gomez; Andrea Llera; Susan L Neuhausen; Lisa Newman; Tung Nguyen; Julie R Palmer; Nynikka R Palmer; Eliseo J Pérez-Stable; Sorbarikor Piawah; Erik J Rodriquez; María Carolina Sanabria-Salas; Stephanie L Schmit; Silvia J Serrano-Gomez; Mariana C Stern; Jeffrey Weitzel; Jun J Yang; Jovanny Zabaleta; Elad Ziv; Laura Fejerman
Journal:  Br J Cancer       Date:  2020-09-09       Impact factor: 9.075

  1 in total
  2 in total

1.  Prediction of Upstaging in Ductal Carcinoma in Situ Based on Mammographic Radiomic Features.

Authors:  Rui Hou; Lars J Grimm; Maciej A Mazurowski; Jeffrey R Marks; Lorraine M King; Carlo C Maley; Thomas Lynch; Marja van Oirsouw; Keith Rogers; Nicholas Stone; Matthew Wallis; Jonas Teuwen; Jelle Wesseling; E Shelley Hwang; Joseph Y Lo
Journal:  Radiology       Date:  2022-01-04       Impact factor: 29.146

2.  Radiological Underestimation of Tumor Size as a Relevant Risk Factor for Positive Margin Rate in Breast-Conserving Therapy of Pure Ductal Carcinoma In Situ (DCIS).

Authors:  Gesche Schultek; Bernd Gerber; Toralf Reimer; Johannes Stubert; Steffi Hartmann; Annett Martin; Angrit Stachs
Journal:  Cancers (Basel)       Date:  2022-05-11       Impact factor: 6.575

  2 in total

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