Evidence map›Paper›PMID 36171609›Full record

ReviewClinical epigenetics2022

Interpretation of the role of germline and somatic non-coding mutations in cancer: expression and chromatin conformation informed analysis.

Michael Pudjihartono, Jo K Perry, Cris Print, Justin M O'Sullivan, William Schierding

Open access · goldAbstract readReview
In one paragraph

Review in Clinical epigenetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
1.5field-weighted citation impact, top 17% 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

9 citing papers in PubMed, 17 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

5 authors at 3 institutions in 3 countries.

Michael PudjihartonoLiggins Institute, The University of Auckland, Auckland, New Zealand.
Jo K PerryLiggins Institute, The University of Auckland, Auckland, New Zealand.
Cris PrintThe Maurice Wilkins Centre, The University of Auckland, Auckland, New Zealand.
Justin M O'SullivanLiggins Institute, The University of Auckland, Auckland, New Zealand.
William SchierdingLiggins Institute, The University of Auckland, Auckland, New Zealand. w.schierding@auckland.ac.nz.
University of Auckland · NZMaurice Wilkins Centre · NZMRC Lifecourse Epidemiology Unit · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThere has been extensive scrutiny of cancer driving mutations within the exome (especially amino acid altering mutations) as these are more likely to have a clear impact on protein functions, and thus on cell biology. However, this has come at the neglect of systematic identification of regulatory (non-coding) variants, which have recently been identified as putative somatic drivers and key germline risk factors for cancer development. Comprehensive understanding of non-coding mutations requires understanding their role in the disruption of regulatory elements, which then disrupt key biological functions such as gene expression. MAIN BODY: We describe how advancements in sequencing technologies have led to the identification of a large number of non-coding mutations with uncharacterized biological significance. We summarize the strategies that have been developed to interpret and prioritize the biological mechanisms impacted by non-coding mutations, focusing on recent annotation of cancer non-coding variants utilizing chromatin states, eQTLs, and chromatin conformation data.

conclusionWe believe that a better understanding of how to apply different regulatory data types into the study of non-coding mutations will enhance the discovery of novel mechanisms driving cancer.

Indexed as

ChromatinNeoplasmsAmino AcidsDNA MethylationGerm CellsHumansMutationAmino AcidsChromatinCancerChromosome conformationeQTLGermline mutationGWASHi-CNon-coding mutationSomatic mutation

Identifiers

PMID36171609
PMCPMC9520844
OpenAlexW4297493643

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.