Evidence map›Paper›PMID 33936164›Full record

ReviewFrontiers in genetics2021

Germline Structural Variations in Cancer Predisposition Genes.

Tímea Pócza, Vince Kornél Grolmusz, János Papp, Henriett Butz, Attila Patócs, Anikó Bozsik

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in genetics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

13 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
  2. Contemporary risk assessment and risk-reducing strategies for tubo-ovarian cancer in women with BRCA pathogenic variants.International journal of gynecological cancer : official journal of the International Gynecological Cancer Society · 2026
    Review
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  12. Medizinische Genetik : Mitteilungsblatt des Berufsverbandes Medizinische Genetik e.V · 2022
    Article
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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

6 authors at 2 institutions in 1 country.

Tímea PóczaDepartment of Molecular Genetics, National Institute of Oncology, Budapest, Hungary.
Vince Kornél GrolmuszDepartment of Molecular Genetics, National Institute of Oncology, Budapest, Hungary.
János PappDepartment of Molecular Genetics, National Institute of Oncology, Budapest, Hungary.
Henriett ButzDepartment of Molecular Genetics, National Institute of Oncology, Budapest, Hungary.
Attila PatócsDepartment of Molecular Genetics, National Institute of Oncology, Budapest, Hungary.
Anikó BozsikDepartment of Molecular Genetics, National Institute of Oncology, Budapest, Hungary.
National Institute of Oncology · HUHungarian Academy of Sciences · HU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In addition to single nucleotide variations and small-scale indels, structural variations (SVs) also contribute to the genetic diversity of the genome. SVs, such as deletions, duplications, amplifications, or inversions may also affect coding regions of cancer-predisposing genes. These rearrangements may abrogate the open reading frame of these genes or adversely affect their expression and may thus act as germline mutations in hereditary cancer syndromes. With the capacity of disrupting the function of tumor suppressors, structural variations confer an increased risk of cancer and account for a remarkable fraction of heritability. The development of sequencing techniques enables the discovery of a constantly growing number of SVs of various types in cancer predisposition genes (CPGs). Here, we provide a comprehensive review of the landscape of germline SV types, detection methods, pathomechanisms, and frequency in CPGs, focusing on the two most common cancer syndromes: hereditary breast- and ovarian cancer and gastrointestinal cancers. Current knowledge about the possible molecular mechanisms driving to SVs is also summarized.

Indexed as

cancer–predisposing genescopy number variationgermline mutationlarge genomic rearrangementstructural variationstructural variations

Identifiers

PMID33936164
PMCPMC8081352
OpenAlexW3154384694

What OpenQuestion holds

Textmetadata
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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.