Literature DB >> 29100191

Validation of the online prediction tool PREDICT v. 2.0 in the Dutch breast cancer population.

M C van Maaren1, C D van Steenbeek2, P D P Pharoah3, A Witteveen4, G S Sonke5, L J A Strobbe6, P M P Poortmans7, S Siesling2.   

Abstract

BACKGROUND: PREDICT version 2.0 is increasingly used to estimate prognosis in breast cancer. This study aimed to validate this tool in specific prognostic subgroups in the Netherlands.
METHODS: All operated women with non-metastatic primary invasive breast cancer, diagnosed in 2005, were selected from the nationwide Netherlands Cancer Registry (NCR). Predicted and observed 5- and 10-year overall survival (OS) were compared for the overall cohort, separated by oestrogen receptor (ER) status, and predefined subgroups. A >5% difference was considered as clinically relevant. Discriminatory accuracy and goodness-of-fit were determined using the area under the receiver operating characteristic curve (AUC) and the Chi-squared-test.
RESULTS: We included 8834 patients. Discriminatory accuracy for 5-year OS was good (AUC 0.80). For ER-positive and ER-negative patients, AUCs were 0.79 and 0.75, respectively. Predicted 5-year OS differed from observed by -1.4% in the entire cohort, -0.7% in ER-positive and -4.9% in ER-negative patients. Five-year OS was accurately predicted in all subgroups. Discriminatory accuracy for 10-year OS was good (AUC 0.78). For ER-positive and ER-negative patients AUCs were 0.78 and 0.76, respectively. Predicted 10-year OS differed from observed by -1.0% in the entire cohort, -0.1% in ER-positive and -5.3 in ER-negative patients. Ten-year OS was overestimated (6.3%) in patients ≥75 years and underestimated (-13.%) in T3 tumours and patients treated with both endocrine therapy and chemotherapy (-6.6%).
CONCLUSIONS: PREDICT predicts OS reliably in most Dutch breast cancer patients, although results for both 5-year and 10-year OS should be interpreted carefully in ER-negative patients. Furthermore, 10-year OS should be interpreted cautiously in patients ≥75 years, T3 tumours and in patients considering endocrine therapy and chemotherapy.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Breast cancer; Overall survival; PREDICT; Population-based study; Prediction model; Validation

Mesh:

Substances:

Year:  2017        PMID: 29100191     DOI: 10.1016/j.ejca.2017.09.031

Source DB:  PubMed          Journal:  Eur J Cancer        ISSN: 0959-8049            Impact factor:   9.162


  6 in total

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Authors:  Aparna Gunda; Mallikarjuna S Eshwaraiah; Kiran Gangappa; Taranjot Kaur; Manjiri M Bakre
Journal:  Breast Cancer Res Treat       Date:  2022-09-10       Impact factor: 4.624

2.  Facilitating validation of prediction models: a comparison of manual and semi-automated validation using registry-based data of breast cancer patients in the Netherlands.

Authors:  Cornelia D van Steenbeek; Marissa C van Maaren; Sabine Siesling; Annemieke Witteveen; Xander A A M Verbeek; Hendrik Koffijberg
Journal:  BMC Med Res Methodol       Date:  2019-06-08       Impact factor: 4.615

3.  Ultrasound for Breast Cancer Screening in High-Risk Women: Results From a Population-Based Cancer Screening Program in China.

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Journal:  Front Oncol       Date:  2019-04-24       Impact factor: 6.244

4.  The intra-tumoural stroma in patients with breast cancer increases with age.

Authors:  Kiki M H Vangangelt; Claire J H Kramer; Esther Bastiaannet; Hein Putter; Danielle Cohen; Gabi W van Pelt; Emad A Rakha; Andrew R Green; Rob A E M Tollenaar; Wilma E Mesker
Journal:  Breast Cancer Res Treat       Date:  2019-09-18       Impact factor: 4.872

5.  Validity of the prognostication tool PREDICT version 2.2 in Japanese breast cancer patients.

Authors:  Karen Zaguirre; Masaya Kai; Makoto Kubo; Mai Yamada; Kanako Kurata; Hitomi Kawaji; Kazuhisa Kaneshiro; Yurina Harada; Saori Hayashi; Akiko Shimazaki; Takafumi Morisaki; Hitomi Mori; Yoshinao Oda; Sanmei Chen; Taiki Moriyama; Shuji Shimizu; Masafumi Nakamura
Journal:  Cancer Med       Date:  2021-01-15       Impact factor: 4.452

6.  Population-based estimates of overtreatment with adjuvant systemic therapy in early breast cancer patients with data from the Netherlands and the USA.

Authors:  M A A Ragusi; B H M van der Velden; M C van Maaren; E van der Wall; C H van Gils; R M Pijnappel; K G A Gilhuijs; S G Elias
Journal:  Breast Cancer Res Treat       Date:  2022-03-03       Impact factor: 4.872

  6 in total

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