Literature DB >> 28734183

Influence of non-measurable disease on progression-free survival in patients with metastatic breast cancer.

Hadar Goldvaser1, Domen Ribnikar2, Rouhi Fazelzad3, Bostjan Seruga4, Arnoud J Templeton5, Alberto Ocana6, Eitan Amir7.   

Abstract

BACKGROUND: The presence of non-measurable disease is common in metastatic breast cancer. It is unknown whether treatment effect on progression free survival (PFS) is consistent among patients with measurable and non-measurable disease.
METHODS: A systematic literature search identified phase III randomized controlled trials (RCTs) in metastatic breast cancer that reported outcomes in patients with non-measurable and measurable disease. Hazard ratios (HRs) and 95% confidence intervals were computed to compare the individual trial treatment effect on PFS in non-measurable versus measurable disease. Analyses were repeated for bone-only compared to non-bone-only disease and based on drug mechanism of action.
RESULTS: Among 82 RCTs that enrolled patients with non-measurable disease, data were available from 16 trials comprising 8516 patients. Treatment effect on PFS was similar in patients with non-measurable and measurable disease (HR for intra-study comparison=1.01, p=0.82). However, compared to non-bone-only disease, a significantly greater effect on PFS was seen in those with bone-only disease (HR 0.83, p=0.03). Compared to patients with measurable disease, there was a greater effect on PFS in those with non-measurable disease in RCTs of signal transduction inhibitors and endocrine therapy (HR 0.74, p=0.01) and a lesser effect on PFS in RCTs of antiangiogenic drugs (HR 1.34, p=0.02). Comparable effect on PFS was shown in RCTs evaluating endocrine therapy (HR 1.13, p=0.23) and chemotherapy (HR 0.73, p=0.22).
CONCLUSIONS: There is variability in treatment effect on PFS in patients with measurable and non-measurable disease, especially those with bone-only disease. Standardization of PFS determination in these patients is warranted.
Copyright © 2017 Elsevier Ltd. All rights reserved.

Entities:  

Keywords:  Bone-only disease; Endpoints; Measurable disease; Metastatic breast cancer; Progression-free survival

Mesh:

Year:  2017        PMID: 28734183     DOI: 10.1016/j.ctrv.2017.06.007

Source DB:  PubMed          Journal:  Cancer Treat Rev        ISSN: 0305-7372            Impact factor:   12.111


  1 in total

1.  Construction and Analysis of Competing Endogenous RNA Networks for Breast Cancer Based on TCGA Dataset.

Authors:  Xue Wang; Chundi Gao; Fubin Feng; Jing Zhuang; Lijuan Liu; Huayao Li; Cun Liu; Jibiao Wu; Xia Zheng; Xia Ding; Changgang Sun
Journal:  Biomed Res Int       Date:  2020-07-24       Impact factor: 3.411

  1 in total

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