Evidence map›Paper›PMID 27224917›Full record

ArticleOncotarget2016

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 and 2 more

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 30% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

12 authors at 6 institutions in 1 country.

Gladys MorrisonSection of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.
Divya LenkalaSection of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.
Bonnie LaCroixSection of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.
Dana ZiliakSection of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.
Vandana AbramsonVanderbilt University Medical Center and Vanderbilt-Ingram Cancer Center, Nashville, TN, USA.
Phuong Khanh MorrowDepartment of Breast Medical Oncology, The University of Texas, MD Anderson Cancer Center, Houston, TX, USA.
Andres ForeroDepartment of Hematology and Oncology, University of Alabama at Birmingham, Birmingham, AL, USA.
Catherine Van PoznakDepartment of Medical Oncology, University of Michigan Comprehensive Cancer Center, Ann Arbor, MI, USA.
Hope S RugoUniversity of California San Francisco Helen Diller Family Comprehensive Cancer Center, San Francisco, CA, USA.
Rita NandaSection of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.
Peter H O'DonnellSection of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.
R Stephanie HuangSection of Hematology/Oncology, The University of Chicago, Chicago, IL, USA.
University of Chicago · USThe University of Texas MD Anderson Cancer Center · USUCSF Helen Diller Family Comprehensive Cancer Center · USUniversity of Alabama at Birmingham · USUniversity of Michigan–Ann Arbor · USVanderbilt University Medical Center · US

Funding

VIRAL ONCOLOGY CORE FACILITYP30CA014599 · NCI · UNIVERSITY OF CHICAGO · PI CHIEN-MIN KAO · 1985 to 2026
$122.1M
Whole GenomeU01GM061393 · NIGMS · UNIVERSITY OF CHICAGO · PI DOLAN, MARY EILEEN · 2000 to 2014
$39.0M
TRANSLATIONAL RESEARCH UNIVERSITY OF CHICAGO: CLINICAL TRIALSUL1RR024999 · NCRR · UNIVERSITY OF CHICAGO · PI SOLWAY, JULIAN · 2007 to 2011
$25.3M
Variation in Hormone and xenobiotic metabolizing enzyme genes and breast cancerP50CA125183 · NCI · UNIVERSITY OF CHICAGO · PI COX, NANCY · 2006 to 2010
$11.3M
Developing an Oncology Workforce for the 21st Century - Renewal 01K12CA139160 · NCI · UNIVERSITY OF CHICAGO · PI OLOPADE, OLUFUNMILAYO F., SMITH, SONALI · 2010 to 2024
$10.6M
CLINICAL THERAPEUTICST32GM007019 · NIGMS · UNIVERSITY OF CHICAGO · PI Peter Hugh O'Donnell, MARK J RATAIN · 1985 to 2026
$8.7M
Genome-wide interrogation of genetic signatures for glucocorticoid sensitivityK08GM089941 · NIGMS · UNIVERSITY OF CHICAGO · PI HUANG, RONG STEPHANIE · 2010 to 2014
$498k
Incorporation of microRNA expression in pharmacogenetic prediction modelsR21CA139278 · NCI · UNIVERSITY OF CHICAGO · PI DOLAN, MARY EILEEN, HUANG, RONG STEPHANIE · 2009 to 2010
$378k
NCI NIH HHS K12 CA139160NCI NIH HHS P30 CA014599NCI NIH HHS P50 CA125183NCI NIH HHS R21 CA139278NCRR NIH HHS UL1 RR024999NIGMS NIH HHS K08 GM089941NIGMS NIH HHS T32 GM007019NIGMS NIH HHS U01 GM061393
6 · The paper itself

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 inter-individual 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.

Indexed as

AdultAgedAntimetabolites, AntineoplasticBreast NeoplasmsCapecitabineCell Line, TumorDrug Screening Assays, AntitumorFemaleHumansMiddle AgedPredictive Value of TestsAntimetabolites, AntineoplasticCapecitabinebreast cancercapecitabineex vivo modellymphoblastoid cell linespatient-derived model

Identifiers

PMID27224917
PMCPMC5122395
OpenAlexW2405936018

What OpenQuestion holds

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Registered trials

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.