Evidence map›Paper›PMID 29599344›Full record

ArticleAnticancer research2018

Racial Disparities in the Molecular Landscape of Cancer.

Elisabeth I Heath, Filipa Lynce, Joanne Xiu, Angela Ellerbrock, Sandeep K Reddy, Elias Obeid, Stephen V Liu, Aliccia Bollig-Fischer, Duska Separovic, Ari Vanderwalde

Open access · bronzeAbstract read
In one paragraph

Article in Anticancer research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 39 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
39citing papers in PubMed, 2 pooled it
2.4field-weighted citation impact, top 11% 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

39 citing papers in PubMed, 2 syntheses or guidelines pooled it, 55 citations in OpenAlex.

  1. Pooled it
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  7. The Translational Research Program in Cancer Differences across Populations.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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  12. Distinct Driver Pathway Enrichments and a High Prevalence ofInternational journal of molecular sciences · 2024
    Article
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  20. A new deep learning framework to process Matrix-assisted Laser Desorption/Ionisation Mass Spectrometry Imaging (MALDI-MSI) data of Tissue Microarrays (TMAs).AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    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

10 authors at 6 institutions in 1 country.

Elisabeth I HeathKarmanos Cancer Institute, Department of Oncology, Wayne State University School of Medicine, Detroit, MI, U.S.A. heathe@karmanos.org.
Filipa LynceLombardi Comprehensive Cancer Center, Division of Hematology and Oncology, Department of Medicine, Georgetown University Medical Center, Washington, DC, U.S.A.
Joanne XiuCaris Life Sciences, Phoenix, AZ, U.S.A.
Angela EllerbrockCaris Life Sciences, Phoenix, AZ, U.S.A.
Sandeep K ReddyNantHealth, Culver City, CA, U.S.A.
Elias ObeidFox Chase Cancer Center, Department of Clinical Genetics, Lewis Katz School of Medicine, Temple University, Philadelphia, PA, U.S.A.
Stephen V LiuLombardi Comprehensive Cancer Center, Division of Hematology and Oncology, Department of Medicine, Georgetown University Medical Center, Washington, DC, U.S.A.
Aliccia Bollig-FischerKarmanos Cancer Institute, Department of Oncology, Wayne State University School of Medicine, Detroit, MI, U.S.A.
Duska SeparovicKarmanos Cancer Institute, Department of Oncology, Wayne State University School of Medicine, Detroit, MI, U.S.A.
Ari VanderwaldeWest Cancer Center, Division of Hematology and Oncology, Department of Medicine, University of Tennessee, Memphis, TN, U.S.A.
The Barbara Ann Karmanos Cancer Institute · USCaris Life Sciences (United States) · USGeorgetown University · USFox Chase Cancer Center · USImmunityBio (United States) · USWest Cancer Center · US

Funding

Tumor Biology and Microenvironment (Program 1)P30CA022453 · NCI · WAYNE STATE UNIVERSITY · PI Julie Lynn Boerner · 1985 to 2026
$68.4M
NCI NIH HHS P30 CA022453
6 · The paper itself

Abstract

BACKGROUND/

aimAfrican Americans (AA) have the highest incidence and mortality of any racial/ethnic group in the US for most cancer types. Heterogeneity in the molecular biology of cancer, as a contributing factor to this disparity, is poorly understood. To address this gap in knowledge, we explored the molecular landscape of colorectal cancer (CRC), non-small cell lung cancer (NSCLC) and high-grade glioma (HGG) from 271 AA and 636 Caucasian (CC) cases. MATERIALS AND

methodsDNA from formalin-fixed paraffin-embedded tumors was sequenced using next-generation sequencing. Additionally, we evaluated protein expression using immunohistochemistry. The Exome Aggregation Consortium Database was evaluated for known ethnicity associations.

resultsConsidering only pathogenic or presumed pathogenic mutations, as determined by the American College of Medical Genetics and Genomics guidelines, and using Bonferroni and Benjamini-Hochberg corrections for multiple comparisons, we found that CRC tumors from AA patients harbored significantly more mutations of phosphatidylinositol-4,5-bisphosphate 3-kinase, catalytic subunit alpha (PIK3CA) than those from CC patients. CRC tumors in AA patients also appeared to harbor more mutations of mitogen-activated protein kinase kinase 1 (MAP2K1/MEK1), MPL proto-oncogene (MPL), thrombo-poietin receptor, and neurofibromin 1 (NF1) than those from CC patients. In contrast, CRCs from AA patients were likely to carry fewer mutations of ataxia-telangiectasia mutated (ATM), as well as of proto-oncogene B-Raf (BRAF), including the V600E variant, than those from CC patients. Rates of immunohistochemical positivity for epidermal growth factor receptor (EGFR) and DNA topoisomerase 2-alpha (TOP2A) tended to be higher in CRCs from AA patients than in CC patients. In NSCLC adenocarcinoma, BRAF variants appeared to be more frequent in the AA than in the CC cohort, whereas in squamous cell lung carcinoma, programmed death-ligand 1 (PD-L1) expression tended to be lower in the AA than in CC group. Moreover, HGG tumors from AA patients showed a trend toward harboring more mutations of protein tyrosine phosphatase non-receptor 11 (PTPN11), than HGG tumors from the CC cohort. In contrast, mutations of phosphatase and tensin homolog (PTEN) and tumor protein 53 (TP53) appeared to be higher in HGG tumors in CC patients than in their AA counterparts.

conclusionOur data revealed significant differences and trends in molecular signatures of the three cancer types in AA and CC cohorts. These findings imply that there may be differences in carcinogenesis between AA and CC patients and that race may be a factor that should be considered regarding cancer incidence and outcome.

Indexed as

Genetic HeterogeneityAgedBlack or African AmericanCohort StudiesDNA Mutational AnalysisFemaleHealth Status DisparitiesHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedMutation, MissenseNeoplasmsProto-Oncogene MasRacial GroupsUnited StatesProto-Oncogene MasCancermutational profilesracial disparities

Identifiers

PMID29599344
PMCPMC6123828
OpenAlexW2795258695

What OpenQuestion holds

Textmetadata
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Read underepoch 390

Registered trials

None linked

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.