Evidence map›Paper›PMID 37671056›Full record

ArticleFrontiers in oncology2023

Somatic mutations of thymic epithelial tumors with myasthenia gravis.

Eleonora Pardini, Federico Cucchiara, Sara Palumbo, Giulia Tarrini, Alessia Di Vita, Fabio Coppedè, Vanessa Nicolì, Melania Guida, Michelangelo Maestri, Roberta Ricciardi and 5 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 15% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 8 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Thymoma: An Overview.Diagnostics (Basel, Switzerland) · 2023
    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

15 authors at 1 institution in 1 country.

Eleonora PardiniDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
Federico CucchiaraDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
Sara PalumboDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Giulia TarriniDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
Alessia Di VitaDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
Fabio CoppedèMedical Genetics, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
Vanessa NicolìMedical Genetics, Department of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
Melania GuidaNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Michelangelo MaestriNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Roberta RicciardiNeurology Unit, Department of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Vittorio AprileThoracic Surgery, Department of Surgical, Medical and Molecular Pathology and Critical Care, University of Pisa, Pisa, Italy.
Marcello C AmbrogiThoracic Surgery, Department of Surgical, Medical and Molecular Pathology and Critical Care, University of Pisa, Pisa, Italy.
Serena BarachiniDepartment of Clinical and Experimental Medicine, University of Pisa, Pisa, Italy.
Marco LucchiThoracic Surgery, Department of Surgical, Medical and Molecular Pathology and Critical Care, University of Pisa, Pisa, Italy.
Iacopo PetriniDepartment of Translational Research and of New Surgical and Medical Technologies, University of Pisa, Pisa, Italy.
University of Pisa · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Thymic epithelial tumors are rare malignant neoplasms that are frequently associated with paraneoplastic syndromes, especially myasthenia gravis. GTF2I is an oncogene mutated in a subgroup of thymomas that is reputed to drive their growth. However, for GTF2I wild-type tumors, the relevant mutations remain to be identified. Methods: We performed a meta-analysis and identified 4,208 mutations in 339 patients. We defined a panel of 63 genes frequently mutated in thymic epithelial tumors, which we used to design a custom assay for next-generation sequencing. We sequenced tumor DNA from 67 thymomas of patients with myasthenia gravis who underwent resection in our institution. Results: Among the 67 thymomas, there were 238 mutations, 83 of which were in coding sequences. There were 14 GTF2I mutations in 6 A, 5 AB, 2 B2 thymomas, and one in a thymoma with unspecified histology. No other oncogenes showed recurrent mutations, while sixteen tumor suppressor genes were predicted to be inactivated. Even with a dedicated assay for the identification of specific somatic mutations in thymic epithelial tumors, only GTF2I mutations were found to be significantly recurrent. Conclusion: Our evaluation provides insights into the mutational landscape of thymic epithelial tumors, identifies recurrent mutations in different histotypes, and describes the design and implementation of a custom panel for targeted resequencing. These findings contribute to a better understanding of the genetic basis of thymic epithelial tumors and may have implications for future research and treatment strategies.

Indexed as

GTF2Imyasthenia gravisnext-generation sequencingthymic epithelial tumorsthymoma

Identifiers

PMID37671056
PMCPMC10475716
OpenAlexW4386032324

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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.