Evidence map›Paper›PMID 32761968›Full record

ArticleCancer science2020

Exon splicing analysis of intronic variants in multigene cancer panel testing for hereditary breast/ovarian cancer.

Jin-Sun Ryu, Hye-Young Lee, Eun Hae Cho, Kyong-Ah Yoon, Min-Kyeong Kim, Jungnam Joo, Eun-Sook Lee, Han-Sung Kang, Seeyoun Lee, Dong Ock Lee and 2 more

Open access · goldAbstract read
In one paragraph

Article in Cancer science, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
0.9field-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

10 citing papers in PubMed, 18 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

12 authors at 3 institutions in 2 countries.

Jin-Sun RyuDivision of Translational Science, Research Institute, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-9644-1526
Hye-Young LeeDepartment of Laboratory Medicine, Hospital, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0003-3448-5635
Eun Hae ChoGenomic research center, Green Cross Genome, Yongin, Korea.ORCID https://orcid.org/0000-0003-3056-0001
Kyong-Ah YoonCollege of Veterinary Medicine, Konkuk University, Seoul, Korea.ORCID https://orcid.org/0000-0002-9823-7393
Min-Kyeong KimDivision of Translational Science, Research Institute, National Cancer Center, Goyang, Korea.
Jungnam JooDivision of Cancer Epidemiology and Management, Research Institute, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0001-6961-8122
Eun-Sook LeeCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0003-1122-8230
Han-Sung KangCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.
Seeyoun LeeCenter for Breast Cancer, Hospital, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-7576-1512
Dong Ock LeeCenter for Gynecologic Cancer, Hospital, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0002-9009-3508
Myong Cheol LimCenter for Gynecologic Cancer, Hospital, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0001-8964-7158
Sun-Young KongDivision of Translational Science, Research Institute, National Cancer Center, Goyang, Korea.ORCID https://orcid.org/0000-0003-0620-4058
National Cancer Center · USGreen Cross (South Korea) · KRKonkuk University · KR

Funding

Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education 2018R1A6A3A01012838National Cancer Center NCC-1611161National Research Foundation of Korea (NRF) funded by the Korean government (MSIT) 2020R1A2C2010566
6 · The paper itself

Abstract

The use of multigene panel testing for patients with a predisposition to breast/ovarian cancer is increasing as the identification of variants is useful for diagnosis and disease management. We identified pathogenic and likely pathogenic (P/LP) variants of high-and moderate-risk genes using a 23-gene germline cancer panel in 518 patients with hereditary breast and ovarian cancers (HBOC). The frequency of P/LP variants was 12.4% (64/518) for high- and moderate-penetrant genes, namely, BRCA2 (5.6%), BRCA1 (3.3%), CHEK2 (1.2%), MUTYH (0.8%), PALB2 (0.8%), MLH1 (0.4%), ATM (0.4%), BRIP1 (0.4%), TP53 (0.2%), and PMS2 (0.2%). Five patients possessed two P/LP variants in BRCA1/2 and other genes. We also compared the results from in silico splicing predictive tools and exon splicing patterns from patient samples by analyzing RT-PCR product sequences in six P/LP intronic variants and two intronic variants of unknown significance (VUS). Altered transcriptional fragments were detected for P/LP intronic variants in BRCA1, BRIP1, CHEK2, PARB2, and PMS2. Notably, we identified an in-frame deletion of the BRCA1 C-terminal (BRCT) domain by exon skipping in BRCA1 c.5152+6T>C-as known VUS-indicating a risk for HBOC. Thus, exon splicing analysis can improve the identification of veiled intronic variants that would aid decision making and determination of hereditary cancer risk.

Indexed as

AdultBRCA1 ProteinBreast NeoplasmsCheckpoint Kinase 2ExonsFanconi Anemia Complementation Group ProteinsFemaleGerm-Line MutationHumansMiddle AgedMismatch Repair Endonuclease PMS2Neoplasm ProteinsOvarian NeoplasmsRNA HelicasesBRCA1 ProteinBRCA1 protein, humanBRIP1 protein, humanCheckpoint Kinase 2CHEK2 protein, humanFanconi Anemia Complementation Group ProteinsMismatch Repair Endonuclease PMS2Neoplasm ProteinsPMS2 protein, humanRNA Helicasesgermline mutationhereditary breast and ovarian cancer syndromenext-generation sequencingpathogenic/likely PathogenicRNA splicing

Identifiers

PMID32761968
PMCPMC7540976
OpenAlexW3047830222

What OpenQuestion holds

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LicenceCC BY-NC
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.