Evidence map›Paper›PMID 33465699›Full record

ArticleLung cancer (Amsterdam, Netherlands)2021

RNA splicing and aggregate gene expression differences in lung squamous cell carcinoma between patients of West African and European ancestry.

April E Deveaux, Tyler A Allen, Muthana Al Abo, Xiaodi Qin, Dadong Zhang, Brendon M Patierno, Lin Gu, Jhanelle E Gray, Chad V Pecot, Holly K Dressman and 8 more

Open access · greenAbstract read
In one paragraph

Article in Lung cancer (Amsterdam, Netherlands), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 37% 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

4 citing papers in PubMed, 9 citations in OpenAlex.

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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

18 authors at 4 institutions in 1 country.

April E DeveauxDepartment of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA.
Tyler A AllenDuke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
Muthana Al AboDuke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
Xiaodi QinDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA.
Dadong ZhangDepartment of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA.
Brendon M PatiernoDepartment of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA.
Lin GuDuke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
Jhanelle E GrayDepartment of Thoracic Oncology, Moffitt Cancer Center, Tampa, FL, 33612, USA.
Chad V PecotDepartment of Medicine, Division of Hematology/Oncology, University of North Carolina, Lineberger Comprehensive Cancer Center, Chapel Hill, NC, 27599, USA.
Holly K DressmanDuke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Molecular Genetics and Microbiology, Duke University School of Medicine, Durham, NC, 27710, USA.
Shannon J McCallDepartment of Pathology, Duke University School of Medicine, Durham, NC, 27710, USA.
Rick A KittlesDepartment of Population Sciences, Division of Health Equities, City of Hope National Medical Center, Duarte, CA, 91010, USA.
Terry HyslopDuke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA.
Kouros OwzarDuke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA; Department of Biostatistics and Bioinformatics, Duke University School of Medicine, Durham, NC, 27710, USA.
Jeffrey CrawfordDepartment of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
Steven R PatiernoDepartment of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
Jeffrey M ClarkeDepartment of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA.
Jennifer A FreedmanDepartment of Medicine, Division of Medical Oncology, Duke University School of Medicine, Durham, NC, 27710, USA; Duke Cancer Institute, Duke University School of Medicine, Durham, NC, 27710, USA. Electronic address: jennifer.freedman@duke.edu.
Duke University · USCity Of Hope National Medical Center · USMoffitt Cancer Center · USUniversity of North Carolina at Chapel Hill · US

Funding

Women's Cancer Research ProgramP30CA014236 · NCI · DUKE UNIVERSITY · PI JOHN N. NORTON · 1985 to 2026
$174.8M
Project 2: Racial differences in host immune response and gastric carcinogenesis: Translating underlying biology to promote gastric cancer interceptionP20CA251657 · NCI · DUKE UNIVERSITY · PI POLLAK, KATHRYN I · 2020 to 2022
$3.2M
Race-related differential RNA splicing: novel targets for precision oncology in non-small cell lung cancerR01CA253312 · NCI · DUKE UNIVERSITY · PI CLARKE, JEFFREY MELSON, FREEDMAN, JENNIFER ANN · 2020 to 2020
$377k
NCI NIH HHS P20 CA251657NCI NIH HHS P30 CA014236NCI NIH HHS R01 CA253312
6 · The paper itself

Abstract

objectivesDespite disparities in lung cancer incidence and mortality, the molecular landscape of lung cancer in patients of African ancestry remains underexplored, and race-related differences in RNA splicing remain unexplored. MATERIALS AND

methodsWe identified differentially spliced genes (DSGs) and differentially expressed genes (DEGs) in biobanked lung squamous cell carcinoma (LUSC) between patients of West African and European ancestry, using ancestral genotyping and Affymetrix Clariom D array. DSGs and DEGs were validated independently using the National Cancer Institute Genomic Data Commons. Associated biological processes, overlapping canonical pathways, enriched gene sets, and cancer relevance were identified using Gene Ontology Consortium, Ingenuity Pathway Analysis, Gene Set Enrichment Analysis, and CancerMine, respectively. Association with LUSC survival was conducted using The Cancer Genome Atlas.

results4,829 DSGs and 267 DEGs were identified, including novel targets in NSCLC as well as genes identified previously to have relevance to NSCLC. RNA splicing events within 3 DSGs as well as 1 DEG were validated in the independent cohort. 853 DSGs and 29 DEGs have been implicated as potential drivers, oncogenes and/or tumor suppressor genes. Biological processes enriched among DSGs and DEGs included metabolic process, biological regulation, and multicellular organismal process and, among DSGs, ion transport. Overlapping canonical pathways among DSGs included neuronal signaling pathways and, among DEGs, cell metabolism involving biosynthesis. Gene sets enriched among DSGs included KRAS Signaling, UV Response, E2 F Targets, Glycolysis, and Coagulation. 355 RNA splicing events within DSGs and 18 DEGs show potential association with LUSC patient survival.

conclusionThese DSGs and DEGs, which show potential biological and clinical relevance, could have the ability to drive novel biomarker and therapeutic development to mitigate LUSC disparities.

Indexed as

Carcinoma, Squamous CellLung NeoplasmsGene ExpressionGene Expression Regulation, NeoplasticHumansLungRNA SplicingAggregate gene expressionEuropean ancestryLung squamous cell carcinomaRNA splicingWest African ancestry

Identifiers

PMID33465699
PMCPMC8049647
OpenAlexW3118644582

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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.