Literature DB >> 24930623

Disease-free survival as an end-point in the treatment of solid tumours--perspectives from clinical trials and clinical practice.

Andrew G Robinson1, Christopher M Booth2, Elizabeth A Eisenhauer2.   

Abstract

Disease-free survival (DFS) is an end-point for an increasing number of clinical trials in adjuvant and curative intent cancer treatment informing both regulatory bodies and clinical practice. DFS is seen both as a surrogate end-point and as an end-point in itself in clinical trials. Understanding the history of DFS, and some of the assumptions, limitations, and vulnerabilities for studies designed with this primary end-point are required. This commentary reviews recent drug approvals for anti-cancer agents in solid tumours in the adjuvant and curative settings, and considers the meaning of DFS from the perspectives of clinical trials and clinical practice.
Copyright © 2014 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Clinical trials; Disease-free survival; Drug approval; Patient perspectives; Solid tumours

Mesh:

Substances:

Year:  2014        PMID: 24930623     DOI: 10.1016/j.ejca.2014.05.016

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


  6 in total

1.  The Importance of Disease-Free Survival as a Clinical Trial Endpoint: A Qualitative Study Among Canadian Survivors of Lung Cancer.

Authors:  Andrea Bever; Jackie Manthorne; Tissa Rahim; Layla Moumin; Shelagh M Szabo
Journal:  Patient       Date:  2021-10-13       Impact factor: 3.883

Review 2.  Clinical Benefit Scales and Trial Design: Some Statistical Issues.

Authors:  Edward L Korn; Carmen J Allegra; Boris Freidlin
Journal:  J Natl Cancer Inst       Date:  2022-09-09       Impact factor: 11.816

3.  Electrochemotherapy in the Treatment of Cutaneous Metastases from Breast Cancer: A Multicenter Cohort Analysis.

Authors:  C Cabula; L G Campana; G Grilz; S Galuppo; R Bussone; L De Meo; A Bonadies; P Curatolo; M De Laurentiis; M Renne; S Valpione; T Fabrizio; N Solari; M Guida; A Santoriello; M D'Aiuto; R Agresti
Journal:  Ann Surg Oncol       Date:  2015-08-05       Impact factor: 5.344

4.  Application of the ESMO-Magnitude of Clinical Benefit Scale (V.1.1) to the field of early breast cancer therapies.

Authors:  Shani Paluch-Shimon; Nathan I Cherny; Elisabeth G E de Vries; Urania Dafni; Martine J Piccart; Nicola Jane Latino; Fatima Cardoso
Journal:  ESMO Open       Date:  2020-09

5.  Application of Censored Quantile Regression to Determine Overall Survival Related Factors in Breast Cancer.

Authors:  Javad Faradmal; Ghodratollah Roshanaei; Maryam Mafi; Abdolazim Sadighi-Pashaki; Manoochehr Karami
Journal:  J Res Health Sci       Date:  2016

6.  Identification of hub genes in thyroid carcinoma to predict prognosis by integrated bioinformatics analysis.

Authors:  Yangwang Pan; Linjing Wu; Shuai He; Jun Wu; Tong Wang; Hongrui Zang
Journal:  Bioengineered       Date:  2021-12       Impact factor: 3.269

  6 in total

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