Evidence map›Paper›PMID 37234870›Full record

ArticleFrontiers in genetics2023

Diagnostic rate of germline pathogenic variants in pancreatic ductal adenocarcinoma patients using whole genome sequencing.

An-Ko Chung, Ro-Ting Lin, Chun-Chieh Yeh, Chi-Ying Yang, Chang-Jiun Wu, Pei-Lung Chen, Jaw-Town Lin

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Article in Frontiers in genetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. 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

7 authors.

An-Ko ChungGraduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan.
Ro-Ting LinDepartment of Occupational Safety and Health, College of Public Health, China Medical University, Taichung, Taiwan.
Chun-Chieh YehSchool of Medicine, China Medical University, Taichung, Taiwan.
Chi-Ying YangDepartment of Internal Medicine, Digestive Medicine Center, China Medical University Hospital, Taichung, Taiwan.
Chang-Jiun WuDepartment of Genomic Medicine, MD Anderson Cancer Center, University of Texas, Houston, TX, United States.
Pei-Lung ChenGraduate Institute of Medical Genomics and Proteomics, National Taiwan University, Taipei, Taiwan.
Jaw-Town LinDivision of Gastroenterology and Hepatology, Department of Internal Medicine, E-Da Hospital, Kaohsiung, Taiwan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Identification of germline pathogenic variants in cancer patients is critical for treatment planning, genetic counseling, and health policymaking. However, previous estimates of the prevalence of germline etiology of pancreatic ductal adenocarcinoma (PDAC) were biased because they were based only on sequencing data of protein-coding regions of known PDAC candidate genes. To determine the percentage of patients with PDAC carrying germline pathogenic variants, we enrolled the inpatients from the digestive health clinics, hematology and oncology clinics, and surgical clinics of a single tertiary medical center in Taiwan for whole genome sequencing (WGS) analysis of genomic DNA. The virtual gene panel of 750 genes comprised PDAC candidate genes and those listed in the COSMIC Cancer Gene Census. The genetic variant types under investigation included single nucleotide substitutions, small indels, structural variants, and mobile element insertions (MEIs). In 8 of 24 (33.3%) patients with PDAC, we identified pathogenic/likely pathogenic variants, including single nucleotide substitutions and small indels in

Indexed as

cancer geneticgermline genetic testingpancreatic ductal adenocarcinoma (PADC)structural variant (SV)whole genome sequencing (WGS)

Identifiers

PMID37234870
PMCPMC10205989

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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.