Evidence map›Paper›PMID 31949278›Full record

ArticleScientific reports2020

Clinical relevance of somatic mutations in main driver genes detected in gastric cancer patients by next-generation DNA sequencing.

Marina V Nemtsova, Alexey I Kalinkin, Ekaterina B Kuznetsova, Irina V Bure, Ekaterina A Alekseeva, Igor I Bykov, Tatiana V Khorobrykh, Dmitry S Mikhaylenko, Alexander S Tanas, Sergey I Kutsev and 2 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 7% 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

31 citing papers in PubMed, 2 syntheses or guidelines pooled it, 47 citations in OpenAlex.

  1. Mucoepidermoid carcinoma (MEC) and adenosquamous carcinoma (ASC), the same or different entities?Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc · 2022
    Pooled it
  2. Pooled it
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  8. Potential Regulation ofInternational journal of molecular sciences · 2025
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  14. Somatic Mutational Landscape in Mexican Patients:International journal of molecular sciences · 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

12 authors at 2 institutions in 1 country.

Marina V NemtsovaMedical Genetics Laboratory, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Alexey I KalinkinEpigenetics Laboratory, Research Centre for Medical Genetics, Moscow, 115522, Russian Federation.
Ekaterina B KuznetsovaMedical Genetics Laboratory, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Irina V BureMedical Genetics Laboratory, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Ekaterina A AlekseevaMedical Genetics Laboratory, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Igor I BykovDepartment No. 1, Medical Faculty, Faculty Surgery, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Tatiana V KhorobrykhDepartment No. 1, Medical Faculty, Faculty Surgery, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Dmitry S MikhaylenkoMedical Genetics Laboratory, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Alexander S TanasEpigenetics Laboratory, Research Centre for Medical Genetics, Moscow, 115522, Russian Federation.
Sergey I KutsevEpigenetics Laboratory, Research Centre for Medical Genetics, Moscow, 115522, Russian Federation.
Dmitry V ZaletaevMedical Genetics Laboratory, I.M. Sechenov First Moscow State Medical University, Moscow, 119991, Russian Federation.
Vladimir V StrelnikovEpigenetics Laboratory, Research Centre for Medical Genetics, Moscow, 115522, Russian Federation. vstrel@list.ru.ORCID http://orcid.org/0000-0001-9283-902X
Sechenov University · RUResearch Centre for Medical Genetics · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Somatic mutation profiling in gastric cancer (GC) enables main driver mutations to be identified and their clinical and prognostic value to be evaluated. We investigated 77 tumour samples of GC by next-generation sequencing (NGS) with the Ion AmpliSeq Hotspot Panel v2 and a custom panel covering six hereditary gastric cancer predisposition genes (BMPR1A, SMAD4, CDH1, TP53, STK11 and PTEN). Overall, 47 somatic mutations in 14 genes were detected; 22 of these mutations were novel. Mutations were detected most frequently in the CDH1 (13/47) and TP53 (12/47) genes. As expected, somatic CDH1 mutations were positively correlated with distant metastases (p = 0.019) and tumours with signet ring cells (p = 0.043). These findings confirm the association of the CDH1 mutations with diffuse GC type. TP53 mutations were found to be significantly associated with a decrease in overall survival in patients with Lauren diffuse-type tumours (p = 0.0085), T3-T4 tumours (p = 0.037), and stage III-IV tumours (p = 0.013). Our results confirm that the detection of mutations in the main driver genes may have a significant prognostic value for GC patients and provide an independent GC-related set of clinical and molecular genetic data.

Indexed as

MutationAdultAgedAntigens, CDCadherinsFemaleGenetic Predisposition to DiseaseHigh-Throughput Nucleotide SequencingHumansMaleMiddle AgedNeoplasm StagingPrognosisSequence Analysis, DNAStomach NeoplasmsSurvival AnalysisAntigens, CDCadherinsCDH1 protein, humanTP53 protein, humanTumor Suppressor Protein p53

Identifiers

PMID31949278
PMCPMC6965114
OpenAlexW2999783791

What OpenQuestion holds

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LicenceCC BY
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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.