Literature DB >> 33786064

Model-based effectiveness and cost-effectiveness of risk-based selection strategies for adjuvant chemotherapy in Dutch stage II colon cancer patients.

Gabrielle Jongeneel1, Marjolein J E Greuter2, Felice N van Erning3, Miriam Koopman4, Geraldine R Vink3, Cornelis J A Punt5, Veerle M H Coupé2.   

Abstract

BACKGROUND: We aimed to evaluate the cost-effectiveness of risk-based strategies to improve the selection of surgically treated stage II colon cancer (CC) patients for adjuvant chemotherapy.
METHODS: Using the 'Personalized Adjuvant TreaTment in EaRly stage coloN cancer' (PATTERN) model, we evaluated five selection strategies: (1) no chemotherapy, (2) Dutch guideline recommendations assuming observed adherence, (3) Dutch guideline recommendations assuming perfect adherence, (4) biomarker mutation OR pT4 stage strategy in which patients with MSS status combined with a pT4 stage or a mutation in BRAF and/or KRAS receive chemotherapy assuming perfect adherence and (5) biomarker mutation AND pT4 stage strategy in which patients with MSS status combined with a pT4 stage tumor and a BRAF and/or KRAS mutation receive chemotherapy assuming perfect adherence. Outcomes were number of CC deaths per 1000 patients and total discounted costs and quality-adjusted life-years (QALYs) per patient (pp). Analyses were conducted from a societal perspective. The robustness of model predictions was assessed in sensitivity analyses.
RESULTS: The reference strategy, that is, no adjuvant chemotherapy, resulted in 139 CC deaths in a cohort of 1000 patients, 8.077 QALYs pp and total costs of €22,032 pp. Strategies 2-5 were more effective (range 8.094-8.217 QALYs pp and range 118-136 CC deaths per 1000 patients) and more costly (range €22,404-€25,102 pp). Given a threshold of €50,000/QALY, the optimal use of resources would be to treat patients with either the full adherence strategy and biomarker mutation OR pT4 stage strategy.
CONCLUSION: Selection of stage II CC patients for chemotherapy can be improved by either including biomarker status in the selection strategy or by improving adherence to the Dutch guideline recommendations.
© The Author(s), 2021.

Entities:  

Keywords:  adjuvant chemotherapy; biomarkers; colon cancer; cost-effectiveness; personalized medicine; stage II

Year:  2021        PMID: 33786064      PMCID: PMC7958170          DOI: 10.1177/1756284821995715

Source DB:  PubMed          Journal:  Therap Adv Gastroenterol        ISSN: 1756-283X            Impact factor:   4.409


  30 in total

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Authors:  L Tilson; L Sharp; C Usher; C Walsh; Whyte S; A O'Ceilleachair; C Stuart; B Mehigan; M John Kennedy; P Tappenden; J Chilcott; A Staines; H Comber; M Barry
Journal:  Eur J Health Econ       Date:  2011-06-03

2.  Dutch Tariff for the Five-Level Version of EQ-5D.

Authors:  Matthijs M Versteegh; Karin M Vermeulen; Silvia M A A Evers; G Ardine de Wit; Rilana Prenger; Elly A Stolk
Journal:  Value Health       Date:  2016-03-30       Impact factor: 5.725

3.  Duration of oxaliplatin-based adjuvant chemotherapy in patients with Stage III or high-risk Stage II resected colon cancer.

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Journal:  Int J Cancer       Date:  2020-01-29       Impact factor: 7.396

Review 4.  Microsatellite instability in colorectal cancer-the stable evidence.

Authors:  Eduardo Vilar; Stephen B Gruber
Journal:  Nat Rev Clin Oncol       Date:  2010-02-09       Impact factor: 66.675

5.  Cost-effectiveness of a 14-gene risk score assay to target adjuvant chemotherapy in early stage non-squamous non-small cell lung cancer.

Authors:  Joshua A Roth; Paul Billings; Scott D Ramsey; Robert Dumanois; Josh J Carlson
Journal:  Oncologist       Date:  2014-04-07

6.  Defective mismatch repair as a predictive marker for lack of efficacy of fluorouracil-based adjuvant therapy in colon cancer.

Authors:  Daniel J Sargent; Silvia Marsoni; Genevieve Monges; Stephen N Thibodeau; Roberto Labianca; Stanley R Hamilton; Amy J French; Brian Kabat; Nathan R Foster; Valter Torri; Christine Ribic; Axel Grothey; Malcolm Moore; Alberto Zaniboni; Jean-Francois Seitz; Frank Sinicrope; Steven Gallinger
Journal:  J Clin Oncol       Date:  2010-05-24       Impact factor: 44.544

Review 7.  Personalizing colon cancer adjuvant therapy: selecting optimal treatments for individual patients.

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8.  Cost-utility analysis of preoperative radiotherapy in patients with rectal cancer undergoing total mesorectal excision: a study of the Dutch Colorectal Cancer Group.

Authors:  Mandy Van Den Brink; Wilbert B Van Den Hout; Anne M Stiggelbout; Elma Klein Kranenbarg; Corrie A M Marijnen; Cornelis J H Van De Velde; Job Kievit
Journal:  J Clin Oncol       Date:  2003-12-09       Impact factor: 44.544

9.  Cost-effectiveness of oxaliplatin in the adjuvant treatment of colon cancer in Canada.

Authors:  C L Attard; J A Maroun; K Alloul; D T Grima; L M Bernard
Journal:  Curr Oncol       Date:  2010-02       Impact factor: 3.677

10.  Estimating adjuvant treatment effects in Stage II colon cancer: Comparing the synthesis of randomized clinical trial data to real-world data.

Authors:  Gabrielle Jongeneel; Thomas Klausch; Felice N van Erning; Geraldine R Vink; Miriam Koopman; Cornelis J A Punt; Marjolein J E Greuter; Veerle M H Coupé
Journal:  Int J Cancer       Date:  2019-08-31       Impact factor: 7.316

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  2 in total

1.  Circulating Tumour DNA as a Potential Cost-Effective Biomarker to Reduce Adjuvant Chemotherapy Overtreatment in Stage II Colorectal Cancer.

Authors:  Yat Hang To; Koen Degeling; Suzanne Kosmider; Rachel Wong; Margaret Lee; Catherine Dunn; Grace Gard; Azim Jalali; Vanessa Wong; Maarten IJzerman; Peter Gibbs; Jeanne Tie
Journal:  Pharmacoeconomics       Date:  2021-06-05       Impact factor: 4.981

2.  Early Cost-effectiveness Analysis of Risk-Based Selection Strategies for Adjuvant Treatment in Stage II Colon Cancer: The Potential Value of Prognostic Molecular Markers.

Authors:  Gabrielle Jongeneel; Marjolein J E Greuter; Natalia Kunst; Felice N van Erning; Miriam Koopman; Jan P Medema; Louis Vermeulen; Jan N M Ijzermans; Geraldine R Vink; Cornelis J A Punt; Veerle M H Coupé
Journal:  Cancer Epidemiol Biomarkers Prev       Date:  2021-06-23       Impact factor: 4.090

  2 in total

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