Toggle Main Menu Toggle Search

Open Access padlockePrints

A prognostic model based on circulating tumour cells is useful for identifying the poorest survival outcome in patients with metastatic colorectal cancer

Lookup NU author(s): Dr Chiao-En Wu



This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


© Ivyspring International Publisher. Background: There is an urgency to develop robust prognostic biomarkers for metastatic colorectal cancer (mCRC) patients receiving chemotherapy. The current study aimed to examine the prognostic significance of circulating tumour cells (CTCs) and to develop a prognostic model incorporating CTCs in predicting the outcomes of mCRC patients treated with chemotherapy. Methods: Our study prospectively enrolled 55 mCRC patients who had undergone palliative chemotherapy between 2011 and 2014. Baseline CTCs and clinicopathological variables predictive of survival outcome were identified using univariate analysis. Negative selection-based protocol plus flow cytometry was used for CTC identification. Results: The median overall survival (OS) and progression-free survival (PFS) were 24.2 months and 8.7 months, respectively. CTCs were detected in all the patients, and the median number of CTCs was 30.8/mL (range: 5.8–431.3/mL). The median OS and PFS were 37.1 and 13.3 months, respectively, for patients with CTC number ≤30/mL, while the median OS and PFS were 14.9 months and 5.1 months, respectively, for patients with CTC number >30/mL (both P<0.001). A prognostic model using CTCs in conjunction with other independent clinical variables further stratified patients into good and poor prognostic groups. The median OS and PFS were 32.4 and 11.5 months, respectively, in the good prognostic group and 5.4 and 2.7 months, respectively, in the poor prognostic group. Conclusions: We developed a reliable CTC-based prognostic model for the prediction of clinical outcomes in mCRC patients treated with chemotherapy. This model may be used to assist clinicians in identifying those with the poorest prognosis before treatment.

Publication metadata

Author(s): Chou W-C, Wu M-H, Chang P-H, Hsu H-C, Chang G-J, Huang W-K, Wu C-E, Hsieh JC-H

Publication type: Article

Publication status: Published

Journal: International Journal of Biological Sciences

Year: 2018

Volume: 14

Issue: 2

Pages: 137-146

Online publication date: 12/01/2018

Acceptance date: 14/12/2017

Date deposited: 19/02/2018

ISSN (electronic): 1449-2288

Publisher: Ivyspring International Publisher


DOI: 10.7150/ijbs.23182


Altmetrics provided by Altmetric