Evidence map›Paper›PMID 30787054›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2019

Genetic Ancestry Analysis Reveals Misclassification of Commonly Used Cancer Cell Lines.

Stanley E Hooker, Leanne Woods-Burnham, Madhavi Bathina, Stacy Lloyd, Priyatham Gorjala, Ranjana Mitra, Larisa Nonn, K Sean Kimbro, Rick A Kittles

Abstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing 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

36 citing papers in PubMed.

  1. Article
  2. Review
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  5. Recruiting Diverse Prostate Cancer Survivors in Health Outcomes Research: Lessons Learned from Survey and Biospecimen Collection.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
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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

9 authors.

Stanley E Hooker *Division of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California.
Leanne Woods-Burnham *Division of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California.ORCID 0000-0003-0856-6386
Madhavi BathinaDivision of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California.
Stacy LloydDepartment of Molecular and Cellular Biology and Alkek Center for Molecular Discovery, Baylor College of Medicine, Houston, Texas.ORCID 0000-0002-8505-5670
Priyatham GorjalaCollege of Medicine, Roseman University of Health Sciences, Las Vegas, Nevada.
Ranjana MitraCollege of Medicine, Roseman University of Health Sciences, Las Vegas, Nevada.
Larisa NonnThe Department of Pathology, University of Illinois, Chicago, Illinois.
K Sean Kimbro *Biomedical/Biotechnology Research Institute (BBRI), North Carolina Central University, Durham, North Carolina.
Rick A Kittles *Division of Health Equities, Department of Population Sciences, City of Hope Comprehensive Cancer Center, Duarte, California. rkittles@coh.org.ORCID 0000-0002-5004-4437

Funding

Understanding Perceptions of HIV Risk, PrEP, and PrEP use among African American Women Attending an HBCUU54MD012392 · NIMHD · NORTH CAROLINA CENTRAL UNIVERSITY · PI Seronda A Robinson · 2017 to 2026
$38.1M
ROLES OF INFLAMMATION AND ANDROGEN METABOLISM IN PROSTATE CANCER DISPARITYP20MD000175 · NIMHD · NORTH CAROLINA CENTRAL UNIVERSITY · PI KIMBRO, KEVIN SEAN · 2002 to 2016
$15.6M
DNA Damage Response and Oncogenic SignalingT32CA186895 · NCI · BECKMAN RESEARCH INSTITUTE/CITY OF HOPE · PI BINGHUI SHEN, Jeremy Michael Stark · 2016 to 2026
$2.1M
Biological and Environmental modifiers of Vitamin D3 and Prostate Cancer RiskR01MD007105 · NIMHD · UNIVERSITY OF ILLINOIS AT CHICAGO · PI KITTLES, RICK A. · 2012 to 2016
$2.0M
METABOLOMIC PROFILING AND BIOLOGIC BASIS OF RACIAL DISPARITY IN PROSTATE CANCERU01CA167234 · NCI · BAYLOR COLLEGE OF MEDICINE · PI PALAPATTU, GANESH S, SREEKUMAR, ARUN · 2012 to 2016
$1.9M
NCI NIH HHS T32 CA186895NCI NIH HHS U01 CA167234NIMHD NIH HHS P20 MD000175NIMHD NIH HHS R01 MD007105NIMHD NIH HHS U54 MD012392
6 · The paper itself

Abstract

backgroundGiven the scarcity of cell lines from underrepresented populations, it is imperative that genetic ancestry for these cell lines is characterized. Consequences of cell line mischaracterization include squandered resources and publication retractions.

methodsWe calculated genetic ancestry proportions for 15 cell lines to assess the accuracy of previous race/ethnicity classification and determine previously unknown estimates. DNA was extracted from cell lines and genotyped for ancestry informative markers representing West African (WA), Native American (NA), and European (EUR) ancestry.

resultsOf the cell lines tested, all previously classified as White/Caucasian were accurately described with mean EUR ancestry proportions of 97%. Cell lines previously classified as Black/African American were not always accurately described. For instance, the 22Rv1 prostate cancer cell line was recently found to carry mixed genetic ancestry using a much smaller panel of markers. However, our more comprehensive analysis determined the 22Rv1 cell line carries 99% EUR ancestry. Most notably, the E006AA-hT prostate cancer cell line, classified as African American, was found to carry 92% EUR ancestry. We also determined the MDA-MB-468 breast cancer cell line carries 23% NA ancestry, suggesting possible Afro-Hispanic/Latina ancestry.

conclusionsOur results suggest predominantly EUR ancestry for the White/Caucasian-designated cell lines, yet high variance in ancestry for the Black/African American-designated cell lines. In addition, we revealed an extreme misclassification of the E006AA-hT cell line. IMPACT: Genetic ancestry estimates offer more sophisticated characterization leading to better contextualization of findings. Ancestry estimates should be provided for all cell lines to avoid erroneous conclusions in disparities literature.

Indexed as

AgedBiomarkers, TumorBlack or African AmericanBlack PeopleBreast NeoplasmsCell Line, TumorFemaleGenetic TestingHeLa CellsHumansMaleMiddle AgedPolymorphism, Single NucleotideProstatic NeoplasmsWhite PeopleBiomarkers, Tumor

Identifiers

PMID30787054
PMCPMC6548687

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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.