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Utility of patient-derived lymphoblastoid cell lines as an ex vivo capecitabine sensitivity prediction model for breast cancer patients

  • Gladys Morrison
  • , Divya Lenkala
  • , Bonnie LaCroix
  • , Dana Ziliak
  • , Vandana Abramson
  • , Phuong Khanh Morrow
  • , Andres Forero
  • , Catherine Van Poznak
  • , Hope S. Rugo
  • , Rita Nanda
  • , Peter H. O'Donnell
  • , R. Stephanie Huang

Research output: Contribution to journalArticlepeer-review

Abstract

Capecitabine is commonly used in treating breast cancer; however, therapeutic response varies among patients and there is no clinically validated model to predict individual outcomes. Here, we investigated whether drug sensitivity quantified in ex vivo patients' blood-derived cell lines can predict response to capecitabine in vivo. Lymphoblastoid cell lines (LCLs) were established from a cohort of metastatic breast cancer patients (n = 53) who were prospectively monitored during treatment with single agent capecitabine at 2000 mg/m2/day. LCLs were treated with increasing concentrations of 5'-DFUR, a major capecitabine metabolite, to assess patients' ex vivo sensitivity to this drug. Subsequently, ex vivo phenotype was compared to observed patient disease response and drug induced-toxicities. We acquired an independent cohort of breast cancer cell lines and LCLs derived from the same donors from ATCC, compared their sensitivity to 5'-DFUR. As seen in the patient population, we observed large interindividual variability in response to 5'-DFUR treatment in patient-derived LCLs. Patients whose LCLs were more sensitive to 5'-DFUR had a significantly longer median progression free survival (9-month vs 6-month, log rank p-value = 0.017). In addition, this significant positive correlation for 5'-DFUR sensitivity was replicated in an independent cohort of 8 breast cancer cell lines and LCLs derived from the same donor. Our data suggests that at least a portion of the individual sensitivity to capecitabine is shared between germline tissue and tumor tissue. It also supports the utility of patient-derived LCLs as a predictive model for capecitabine treatment efficacy in breast cancer patients.

Original languageEnglish (US)
Pages (from-to)38359-38366
Number of pages8
JournalOncotarget
Volume7
Issue number25
DOIs
StatePublished - 2016

Bibliographical note

Funding Information:
RSH also received support from National Institute of Health grant K08GM089941, National Institute of Health grant R21 CA139278, University of Chicago Support Grant (#P30 CA14599), Breast Cancer SPORE Career Development Award [CA125183] and the National Center for Advancing Translational Sciences of the National Institute of Health [UL1RR024999]. PHO received additional support for this study from NIH/NCI K12 CA139160-01A1, The University of Chicago Cancer Research Center (Protocol-Specific Grant), and The University of Chicago Clinical and Translational Science Award Pilot and Collaborative Translational and Clinical Studies Award. GM is supported by the NIH/NIGMS Clinical Therapeutics training grant T32GM007019.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well-being

Keywords

  • Breast cancer
  • Capecitabine
  • Ex vivo model
  • Lymphoblastoid cell lines
  • Patient-derived model

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