Serial Analysis of Circulating Tumor Cells in Metastatic Breast Cancer Receiving First-Line Chemotherapy.

ABSTRACT:

Background

We examined the prognostic significance of circulating tumor cell (CTC) dynamics during treatment in metastatic breast cancer (MBC) patients receiving first-line chemotherapy.

Methods

Serial CTC data from 469 patients (2202 samples) were used to build a novel latent mixture model to identify groups with similar CTC trajectory (tCTC) patterns during the course of treatment. Cox regression was used to estimate hazard ratios for progression-free survival (PFS) and overall survival (OS) in groups based on baseline CTCs, combined CTC status at baseline to the end of cycle 1, and tCTC. Akaike information criterion was used to select the model that best predicted PFS and OS.

Results

Latent mixture modeling revealed 4 distinct tCTC patterns: undetectable CTCs (56.9

SUBMITTER: Magbanua MJM 

PROVIDER: S-EPMC8023821 | biostudies-literature | 2021 Apr

REPOSITORIES: biostudies-literature