Evidence map›Paper›PMID 25157401›Full record

ArticlePloS one2014

Do breast cancer cell lines provide a relevant model of the patient tumor methylome?

Leslie M Cope, Mary Jo Fackler, Zoila Lopez-Bujanda, Antonio C Wolff, Kala Visvanathan, Joe W Gray, Saraswati Sukumar, Christopher B Umbricht

Abstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
–field-weighted citation impact
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

15 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Review
  5. Expression and associated epigenetic mechanisms of the CaJournal of cell communication and signaling · 2022
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
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

8 authors.

Leslie M CopeDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Mary Jo FacklerDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Zoila Lopez-BujandaDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Antonio C WolffDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Kala VisvanathanDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America; Department of Epidemiology, Bloomberg School of Public Health, Baltimore, Maryland, United States of America.
Joe W GrayDepartment of Biomedical Engineering, Oregon Health & Science University, Portland, Oregon, United States of America.
Saraswati SukumarDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America; Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.
Christopher B UmbrichtDepartment of Oncology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America; Department of Surgery, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America; Department of Pathology, The Johns Hopkins University School of Medicine, Baltimore, Maryland, United States of America.

Funding

Translational InformaticsP30CA082103 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Jennifer Leigh Clarke · 1999 to 2026
$209.7M
Understanding the origins of rapid recurrence of pancreatic cancer after resectionP30CA069533 · NCI · OREGON HEALTH & SCIENCE UNIVERSITY · PI Luiz Eduardo Bertassoni · 1997 to 2026
$60.5M
Tissue and Outcomes CoreP50CA058207 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI GRAY, JOE W. · 1992 to 2012
$32.7M
VACCINES--A NEW PARADIGM FOR BREAST CANCERP50CA088843 · NCI · JOHNS HOPKINS UNIVERSITY · PI DAVIDSON, NANCY ELLEN · 2000 to 2010
$27.8M
Systems-Based Predictions of Responses to Cancer TherapyU54CA112970 · NCI · UNIVERSITY OF CALIF-LAWRENC BERKELEY LAB · PI MILLS, GORDON B. · 2004 to 2014
$27.1M
Targeted and global proteomic strategies for early breast cancer detectionU24CA126477 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI FISHER, SUSAN J. · 2006 to 2011
$8.7M
Multicenter Genetic, Epigenetic & Expression Analysis of DCIS outcome predictorsR01CA140311 · NCI · JOHNS HOPKINS UNIVERSITY · PI UMBRICHT, CHRISTOPHER B · 2011 to 2015
$2.6M
NCI NIH HHS 5P30CA069533-16NCI NIH HHS P30 CA069533NCI NIH HHS P30 CA082103NCI NIH HHS P30 CA 82103NCI NIH HHS P50 CA058207NCI NIH HHS P50 CA088843NCI NIH HHS P50 CA 58207NCI NIH HHS P50 CA 88843NCI NIH HHS R01 CA 140311NCI NIH HHS R01 CA140311NCI NIH HHS U24 CA 126477NCI NIH HHS U24 CA126477NCI NIH HHS U54 CA 112970NCI NIH HHS U54 CA112970
6 · The paper itself

Abstract

It is well documented that tumor cells undergo dramatic genetic and epigenetic changes during initial establishment as cell lines and in subsequent serial passaging, and that the resultant cell lines may have evolved significantly from the primary tumors from which they were derived. This has potential implications due to their widespread use in drug response experiments and studies of genomic function. One approach to optimizing the design of such cell line studies is to identify and use the cell lines that faithfully recapitulate critical features of primary tumors. To evaluate the epigenetic fidelity of breast cancer cell lines in the context of primary tumors, we performed methylation profiling of 55 well-characterized breast cancer cell lines on the Illumina HumanMethylation27 BeadChip platform, and compared them to publicly available methylation profiles of primary breast tumors. We found that the DNA methylation profiles of breast cancer cell lines largely retain the features that characterize primary tumors, although there are crucial differences as well. We describe these similarities and differences between primary tumors and breast cancer cell lines in detail, and develop a quantitative measure of similarity that is used to score each cell line with respect to how faithfully its methylation profile mirrors that of primary tumors.

Indexed as

DNA MethylationBreastBreast NeoplasmsCell Line, TumorEpigenesis, GeneticFemaleGene Expression ProfilingGene Expression Regulation, NeoplasticHumans

Identifiers

PMID25157401
PMCPMC4144876

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.