Evidence map›Paper›PMID 29456552›Full record

ReviewFrontiers in genetics2018

Identification of Single Nucleotide Non-coding Driver Mutations in Cancer.

Kok A Gan, Sebastian Carrasco Pro, Jared A Sewell, Juan I Fuxman Bass

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
1.1field-weighted citation impact, top 27% 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

20 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
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  5. ArXiv · 2024
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  7. Review
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  12. Theranostic Interpolation of Genomic Instability in Breast Cancer.International journal of molecular sciences · 2022
    Review
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  14. Article
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  19. Alterations in Chromatin Folding Patterns in Cancer Variant-Enriched Loci.... IEEE-EMBS International Conference on Biomedical and Health Informatics. IEEE-EMBS International Conference on Biomedical and Health Informatics · 2019
    Article
  20. 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

4 authors at 1 institution in 1 country.

Kok A GanDepartment of Biology, Boston University, Boston, MA, United States.
Sebastian Carrasco ProDepartment of Biology, Boston University, Boston, MA, United States.
Jared A SewellDepartment of Biology, Boston University, Boston, MA, United States.
Juan I Fuxman BassDepartment of Biology, Boston University, Boston, MA, United States.
Boston University · US

Funding

RESEARCH TRAINING IN BLOOD DISEASES AND RESOURCEST32HL007501 · NHLBI · BOSTON UNIVERSITY MEDICAL CAMPUS · PI LERNER, ADAM, STEINBERG, MARTIN H. · 1985 to 2018
$5.4M
Delineation of a cytokine gene regulatory network and rewiring in diseaseR00GM114296 · NIGMS · BOSTON UNIVERSITY (CHARLES RIVER CAMPUS) · PI FUXMAN BASS, JUAN IGNACIO · 2016 to 2017
$498k
NHLBI NIH HHS T32 HL007501NIGMS NIH HHS R00 GM114296
6 · The paper itself

Abstract

Recent whole-genome sequencing studies have identified millions of somatic variants present in tumor samples. Most of these variants reside in non-coding regions of the genome potentially affecting transcriptional and post-transcriptional gene regulation. Although a few hallmark examples of driver mutations in non-coding regions have been reported, the functional role of the vast majority of somatic non-coding variants remains to be determined. This is because the few driver variants in each sample must be distinguished from the thousands of passenger variants and because the logic of regulatory element function has not yet been fully elucidated. Thus, variants prioritized based on mutational burden and location within regulatory elements need to be validated experimentally. This is generally achieved by combining assays that measure physical binding, such as chromatin immunoprecipitation, with those that determine regulatory activity, such as luciferase reporter assays. Here, we present an overview of

Indexed as

cancerdriver mutationhotspot analysismotif analysisnon-coding mutation

Identifiers

PMID29456552
PMCPMC5801294
OpenAlexW2793004654

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.