Evidence map›Paper›PMID 32708070›Full record

ArticleCancers2020

High-Throughput Sequencing of Gastric Cancer Patients: Unravelling Genetic Predispositions Towards an Early-Onset Subtype.

Julita Machlowska, Przemysław Kapusta, Jacek Baj, Folkert H M Morsink, Paweł Wołkow, Ryszard Maciejewski, G Johan A Offerhaus, Robert Sitarz

Open access · goldAbstract read
In one paragraph

Article in Cancers, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
2.9field-weighted citation impact, top 8% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  12. A Case Study on PPM1D and 9 Other Shared Germline Alterations in a Family.Asian Pacific journal of cancer prevention : APJCP · 2023
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  14. Review
  15. Helicobacter pylori: an up-to-date overview on the virulence and pathogenesis mechanisms.Brazilian journal of microbiology : [publication of the Brazilian Society for Microbiology] · 2022
    Review
  16. Cells · 2021
    Review
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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

8 authors at 3 institutions in 2 countries.

Julita MachlowskaCenter for Medical Genomics-OMICs high-throughput technologies (OMICRON) project, Jagiellonian University Medical College, 31-034 Kraków, Poland.ORCID 0000-0001-9951-9248
Przemysław KapustaCenter for Medical Genomics-OMICs high-throughput technologies (OMICRON) project, Jagiellonian University Medical College, 31-034 Kraków, Poland.ORCID 0000-0003-4467-1175
Jacek BajDepartment of Human Anatomy, Medical University of Lublin, 20-090 Lublin, Poland.ORCID 0000-0002-1372-8987
Folkert H M MorsinkDepartment of Pathology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Paweł WołkowCenter for Medical Genomics-OMICs high-throughput technologies (OMICRON) project, Jagiellonian University Medical College, 31-034 Kraków, Poland.ORCID 0000-0002-9322-5545
Ryszard MaciejewskiDepartment of Human Anatomy, Medical University of Lublin, 20-090 Lublin, Poland.
G Johan A OfferhausDepartment of Pathology, University Medical Center Utrecht, 3584 CX Utrecht, The Netherlands.
Robert SitarzDepartment of Human Anatomy, Medical University of Lublin, 20-090 Lublin, Poland.ORCID 0000-0001-7267-9516
Medical University of Lublin · PLJagiellonian University · PLUniversity Medical Center Utrecht · NL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGastric cancer is the fourth most common cause of cancer-related death. Currently, it is broadly accepted that the molecular complexity and heterogeneity of gastric cancer, both inter- and intra-tumor, display important barriers for finding specific biomarkers for the early detection and diagnosis of this malignancy. Early-onset gastric cancer is not as prevalent as conventional gastric carcinoma, but it is a preferable model for studying the genetic background, as young patients are less exposed to environmental factors, which influence cancer development.

aimThe main objective of this study was to reveal age-dependent genotypic characteristics of gastric cancer subtypes, as well as conduct mutation profiling for the most frequent alterations in gastric cancer development, using targeted next-generation sequencing technology. PATIENTS AND

methodsThe study group included 53 patients, consisting of 18 patients with conventional gastric cancer and 35 with an early-onset subtype. The DNA of all index cases was used for next-generation sequencing, employing a panel of 94 genes and 284 single nucleotide polymorphisms (SNPs) (TruSight Cancer Panel, Illumina), which is characteristic for common and rare types of cancer.

resultsFrom among the 53 samples processed for sequencing, we were able to identify seven candidate genes (

conclusionsThe technology of next-generation sequencing is a useful tool for studying the development and progression of gastric carcinoma in a high-throughput way. Our study revealed that early-onset gastric cancer has a different mutation frequency profile in certain genes compared to conventional subtype.

Indexed as

conventional gastric carcinomaearly diagnosisearly-onset subtypegastric cancermolecular biomarkersnext-generation sequencingpathogenicity

Identifiers

PMID32708070
PMCPMC7409326
OpenAlexW3043090942

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.