Evidence map›Paper›PMID 29769535›Full record

ArticleScientific reports2018

Systematic pan-cancer analysis of somatic allele frequency.

Liam Spurr, Muzi Li, Nawaf Alomran, Qianqian Zhang, Paula Restrepo, Mercedeh Movassagh, Chris Trenkov, Nerissa Tunnessen, Tatiyana Apanasovich, Keith A Crandall and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.2field-weighted citation impact, top 25% 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

16 citing papers in PubMed, 24 citations in OpenAlex.

  1. Cancers · 2025
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  4. Life (Basel, Switzerland) · 2022
    Article
  5. Article
  6. Biased expression of mutant alleles in cancer-related genes in esophageal squamous cell carcinoma.Esophagus : official journal of the Japan Esophageal Society · 2022
    Article
  7. Article
  8. Article
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Evidence for Etiologic Subtypes of Breast Cancer in the Carolina Breast Cancer Study.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2019
    Article
  16. 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

12 authors at 4 institutions in 1 country.

Liam SpurrDepartment of Pharmacology and Physiology, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.
Muzi LiMcCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.
Nawaf AlomranMcCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.
Qianqian ZhangDepartment of Pharmacology and Physiology, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.
Paula RestrepoDepartment of Pharmacology and Physiology, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.ORCID 0000-0003-2045-2357
Mercedeh MovassaghMcCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.
Chris TrenkovMcCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.
Nerissa TunnessenMcCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.
Tatiyana ApanasovichDepartment of Statistics, The George Washington University, Washington, DC, 20037, USA.
Keith A CrandallComputational Biology Institute, Milken Institute School of Public Health, The George Washington University, Washington, DC, 20052, USA.ORCID 0000-0002-0836-3389
Nathan EdwardsMcCormick Genomics and Proteomics Center, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA.
Anelia HorvathDepartment of Pharmacology and Physiology, School of Medicine and Health Sciences, The George Washington University, Washington, DC, 20037, USA. horvatha@gwu.edu.ORCID 0000-0003-4117-013X
George Washington University · USGeorgetown University · USMilken Institute · USUniversity of Massachusetts Chan Medical School · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Imbalanced expression of somatic alleles in cancer can suggest functional and selective features, and can therefore indicate possible driving potential of the underlying genetic variants. To explore the correlation between allele frequency of somatic variants and total gene expression of their harboring gene, we used the unique data set of matched tumor and normal RNA and DNA sequencing data of 5523 distinct single nucleotide variants in 381 individuals across 10 cancer types obtained from The Cancer Genome Atlas (TCGA). We analyzed the allele frequency in the context of the variant and gene functional features and linked it with changes in the total gene expression. We documented higher allele frequency of somatic variants in cancer-implicated genes (Cancer Gene Census, CGC). Furthermore, somatic alleles bearing premature terminating variants (PTVs), when positioned in CGC genes, appeared to be less frequently degraded via nonsense-mediated mRNA decay, indicating possible favoring of truncated proteins by the tumor transcriptome. Among the genes with multiple PTVs with high allele frequency, ARID1, TP53 and NSD1 were known key cancer genes. All together, our analyses suggest that high allele frequency of tumor somatic variants can indicate driving functionality and can serve to identify potential cancer-implicated genes.

Indexed as

Gene Expression Regulation, NeoplasticMutationPolymorphism, Single NucleotideTranscriptomeAllelesComputational BiologyGene FrequencyHigh-Throughput Nucleotide SequencingHumansNeoplasm ProteinsNeoplasmsNeoplasm Proteins

Identifiers

PMID29769535
PMCPMC5956099
OpenAlexW2806334620

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.