Literature DB >> 31300934

Prospective, multicenter study on the economic and clinical impact of gene-expression assays in early-stage breast cancer from a single region: the PREGECAM registry experience.

S Pérez Ramírez1, M Del Monte-Millán2, S López-Tarruella2, N Martínez Jáñez3, I Márquez-Rodas2, F Lobo Samper4, Y Izarzugaza Perón4, C Rubio Terres5, D Rubio Rodríguez5, J Á García-Sáenz6, F Moreno Antón6, P Zamora Auñón7, M Arroyo Yustos8, M Á Lara Álvarez9, E M Ciruelos Gil10, L Manso Sánchez10, M J Echarri González11, J A Guerra Martínez12, C Jara Sánchez13, C Bueno Muiño14, S García Adrián15, J R Carrión Galindo16, V Valentín Maganto17, M Martín18.   

Abstract

INTRODUCTION: The aim of this study is to evaluate the cost-effectiveness and impact of gene-expression assays (GEAs) on treatment decisions in a real-world setting of early-stage breast cancer (ESBC) patients.
METHODS: This is a regional, prospective study promoted by the Council Health Authorities in Madrid. Enrolment was offered to women with estrogen receptor-positive, human epidermal growth factor receptor 2-negative, node-negative or micrometastatic, stage I or II breast cancer from 21 hospitals in Madrid. Treatment recommendations were recorded before and after knowledge of tests results. An economic model compared the cost-effectiveness of treatment, guided by GEAs or by common prognostic factors.
RESULTS: 907 tests (440 Oncotype DX® and 467 MammaPrint®) were performed between February 2012 and November 2014. Treatment recommendation changed in 42.6% of patients. The shift was predominantly from chemohormonal (CHT) to hormonal therapy (HT) alone, in 30.5% of patients. GEAs increased patients' confidence in treatment decision making. Tumor grade, progesterone receptor positivity and Ki67 expression were associated with the likelihood of change from CHT to HT (P < 0.001) and from HT to CHT (P < 0.001). Compared with current clinical practice genomic testing increased quality-adjusted life years by 0.00787 per patient and was cost-saving from a national health care system (by 13.867€ per patient) and from a societal perspective (by 32.678€ per patient).
CONCLUSION: Using GEAs to guide adjuvant therapy in ESBC is cost-effective in Spain and has a significant impact on treatment decisions.

Entities:  

Keywords:  Breast cancer; Cost analysis; Gene-expression profiling; Quality-adjusted life years

Mesh:

Substances:

Year:  2019        PMID: 31300934     DOI: 10.1007/s12094-019-02176-x

Source DB:  PubMed          Journal:  Clin Transl Oncol        ISSN: 1699-048X            Impact factor:   3.405


  25 in total

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Authors:  Joseph A Sparano
Journal:  Clin Breast Cancer       Date:  2006-10       Impact factor: 3.225

2.  Patients' perceptions of gene expression profiling in breast cancer treatment decisions.

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Journal:  Curr Oncol       Date:  2014-04       Impact factor: 3.677

3.  [Cost of breast cancer treatment by clinical stage in the Basque Country, Spain].

Authors:  Arantzazu Arrospide; Myriam Soto-Gordoa; Teresa Acaiturri; Guillermo López-Vivanco; Luis Carlos Abecia; Javier Mar
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Authors:  Daphne T Tsoi; Miho Inoue; Catherine M Kelly; Sunil Verma; Kathleen I Pritchard
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6.  Prospective Clinical Utility Study of the Use of the 21-Gene Assay in Adjuvant Clinical Decision Making in Women With Estrogen Receptor-Positive Early Invasive Breast Cancer: Results From the SWITCH Study.

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Journal:  Oncologist       Date:  2015-06-25

7.  Cost effectiveness of gene expression profiling for early stage breast cancer: a decision-analytic model.

Authors:  Mo Yang; Suja Rajan; Amalia M Issa
Journal:  Cancer       Date:  2012-02-22       Impact factor: 6.860

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10.  Prospective multicenter study of the impact of the 21-gene recurrence score assay on medical oncologist and patient adjuvant breast cancer treatment selection.

Authors:  Shelly S Lo; Patricia B Mumby; John Norton; Karen Rychlik; Jeffrey Smerage; Joseph Kash; Helen K Chew; Ellen R Gaynor; Daniel F Hayes; Andrew Epstein; Kathy S Albain
Journal:  J Clin Oncol       Date:  2010-01-11       Impact factor: 44.544

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  2 in total

1.  Combining method of detection and 70-gene signature for enhanced prognostication of breast cancer.

Authors:  J M N Lopes Cardozo; M K Schmidt; L J van 't Veer; F Cardoso; C Poncet; E J T Rutgers; C A Drukker
Journal:  Breast Cancer Res Treat       Date:  2021-06-30       Impact factor: 4.872

2.  Cost and Clinical Benefits Associated with Oncotype DX® Test in Patients with Early-Stage HR+/HER2- Node-Negative Breast Cancer in the Netherlands.

Authors:  Felix E de Jongh; Reva Efe; Kirsten H Herrmann; Jelle A Spoorendonk
Journal:  Int J Breast Cancer       Date:  2022-09-22
  2 in total

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