Evidence map›Paper›PMID 39050176›Full record

ArticleArchives of medical science : AMS2024

Genomic profiling of thymoma using a targeted high-throughput approach.

Jelena Peric, Natalija Samaradzic, Vesna Skodric Trifunovic, Natasa Tosic, Jelena Stojsic, Sonja Pavlovic, Dragana Jovanovic

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
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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

7 authors.

Jelena PericInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia.
Natalija SamaradzicUniversity Hospital of Pulmonology, Clinical Centre of Serbia, Belgrade, Serbia.
Vesna Skodric TrifunovicUniversity Hospital of Pulmonology, Clinical Centre of Serbia, Belgrade, Serbia.
Natasa TosicInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia.
Jelena StojsicDepartment of Thoracopulmonary Pathology, Service of Pathology, Clinical Centre of Serbia, Serbia.
Sonja PavlovicInstitute of Molecular Genetics and Genetic Engineering, University of Belgrade, Belgrade, Serbia.
Dragana JovanovicUniversity Hospital of Pulmonology, Clinical Centre of Serbia, Belgrade, Serbia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Thymomas and thymic carcinoma (TC) are the most common neoplasms localised in the thymus. These diseases are poorly understood, but progress made in next-generation sequencing (NGS) technology has provided novel data on their molecular pathology. Material and methods: Genomic DNA was isolated from formalin-fixed paraffin-embedded tumour tissue. We investigated somatic variants in 35 thymoma patients using amplicon-based TruSeq Amplicon Cancer Panel (TSACP) that covers 48 cancer related genes. We also analysed three samples from healthy individuals by TSACP platform and 32 healthy controls using exome sequencing. Results: The total number of detected variants was 4447, out of which 2906 were in the coding region (median per patient 83, range: 2-300) and 1541 were in the non-coding area (median per patient 44, range: 0-172). We identified four genes, Conclusions: The most frequently mutated genes in thymoma samples analysed in this study belong to the EGFR, ATM, and TP53 signalling pathways, regulating cell cycle check points, gene expression, and apoptosis. The results of our study complement the knowledge of thymoma molecular pathogenesis.

Indexed as

next-generation sequencingsomatic profilingthymoma

Identifiers

PMID39050176
PMCPMC11264071

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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.