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Thymoma

Cancer and Oncology · NLM MeSH · updated 2026-10-29 · version 1

Citations verified against PubMedNot yet clinician-reviewed10 referencesApproximately 4 min read

A neoplasm originating from thymic tissue, usually benign, and frequently encapsulated.

Table of Contents

1. Definition2. Research landscape3. Reading the evidence4. Open-access studies5. Key reviews6. References7. About this article

Definition and research guide

This page combines a MeSH definition, publication statistics and selected research abstracts. It is a starting point for reading the literature, not a medical textbook or a systematic evidence review.

Content available: 4 complete abstracts (790 words), 10 references. Full article text is not stored or reproduced here; follow the PMID, DOI or PMC links to read the original sources and their access terms.

Definition

A neoplasm originating from thymic tissue, usually benign, and frequently encapsulated. Although it is occasionally invasive, metastases are extremely rare. It consists of any type of thymic epithelial cell as well as lymphocytes that are usually abundant. Malignant lymphomas that involve the thymus, e.g., lymphosarcoma, Hodgkin's disease (previously termed granulomatous thymoma), should not be regarded as thymoma. (From Stedman, 25th ed)

Definition: NLM Medical Subject Headings (MeSH) scope note (Public domain (U.S. National Library of Medicine); attribution requested). View the MeSH record.

Also known as: Thymomas; Carcinoma, Thymic; Carcinomas, Thymic; Thymic Carcinoma; Thymic Carcinomas.

Where it fits in the MeSH classification

Broader topics
Neoplasms, Complex and Mixed; Thymus Neoplasms

Research landscape

PubMed indexes 9,136 records tagged with the MeSH heading “Thymoma” (counts retrieved 2026-10-29). 1,321 of them (14.5%) were published from 2020 onward, and the busiest period so far is through 1999 with 4,415 records.

Reviews account for 922 records (10.1%) and meta-analyses for 35. Randomized controlled trials number 8 (0.1%) as a share of all records on the topic. Randomized trials make up only a small share of this literature, so much of what is known comes from laboratory, observational or descriptive work.

PubMed records by publication periodthrough 1999: 4,415 records; 2000-2009: 1,566 records; 2010-2019: 1,834 records; 2020 onward: 1,321 records4,415through 19991,5662000-20091,8342010-20191,3212020 onward
Records in PubMed indexed with this heading, by publication period. Real counts from NCBI E-utilities; the final period covers only part of the current year. Volume reflects how much has been published, not how strong the evidence is.
Show the data
PeriodRecords
through 19994,415
2000-20091,566
2010-20191,834
2020 onward1,321
Share of records by publication typeReviews: 10.1 percent; Meta-analyses: 0.4 percent; Randomized controlled trials: 0.1 percentReviews10.1% (922)Meta-analyses0.4% (35)Randomized controlled trials0.1% (8)
Share of all PubMed records on this heading that carry each publication type. Types overlap with other records, so the shares do not sum to 100%.
Publication-type chart data
Publication types among 9,136 PubMed records
TypeRecordsShare
Reviews92210.1%
Meta-analyses350.4%
Randomized controlled trials80.1%

Method: PubMed query "Thymoma"[MeSH Terms] with publication-type and date filters, retrieved 2026-10-29.

Reading the evidence in cancer and oncology

Cancer research spans very different kinds of evidence. Laboratory studies in cell lines and animal models reveal mechanisms but often do not translate to patients. Early-phase trials mainly test safety and dosing, while phase 3 randomized trials and their meta-analyses are the usual basis for treatment conclusions. Outcomes also differ in meaning: tumour shrinkage, progression-free survival and overall survival are not interchangeable, and screening studies can be distorted by lead-time and overdiagnosis. When reading a result, check the cancer type and stage studied, the comparison treatment, and which outcome was measured.

Evidence from open-access studies

These open-access studies come from PubMed’s best-match results for this heading (papers whose main topic it is), ranked here by citation count, with one recent addition. Each abstract is reproduced in full under its recorded open licence so that you can read the authors’ own words. They illustrate the literature; they are not a systematic summary of it. Citation counts measure attention, not reliability or clinical benefit.

Study comparison — selected abstracts, not a systematic review
Study / authorsYearSource label / designEurope PMC citationsLicence / source
Myasthenia gravis-specific aberrant neuromuscular gene expression by medullary thymic epithelial cells in thymoma
Yasumizu Y, Yasumizu Y, Ohkura N, Murata H, Kinoshita M, Funaki S, et al.
2022Research article
Design not recorded in structured metadata
75cc by
PMID 35869073 · DOI · PMC9305039
Unraveling molecular networks in thymic epithelial tumors: deciphering the unique signatures
Zhang X, Zhang P, Cong A, Feng Y, Chi H, Xia Z, et al.
2023Review article
Design not recorded in structured metadata
53cc by
PMID 37849766 · DOI · PMC10577431
Comprehensive Genomic Profiling of 274 Thymic Epithelial Tumors Unveils Oncogenic Pathways and Predictive Biomarkers
Girard N, Basse C, Schrock A, Ramkissoon S, Killian K, Ross JS
2022Research article
Design not recorded in structured metadata
40cc by
PMID 35749302 · DOI · PMC9632319
CD19, immunoglobulin level, and varied anti-cytokine autoantibodies underline dichotomous susceptibility to types of infection in patients with thymomas
Tan Z, Shin A, Tan RYM, Wang D, Huang CH, Ravikumar S, et al.
2026Research article
Design not recorded in structured metadata
0cc by
PMID 42500663 · DOI · PMC13396285

Myasthenia gravis-specific aberrant neuromuscular gene expression by medullary thymic epithelial cells in thymoma [1]

Research article Yasumizu Y, Yasumizu Y, Ohkura N, Murata H, Kinoshita M, Funaki S, et al. · · 2022 · cited 75 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Myasthenia gravis (MG) is a neurological disease caused by autoantibodies against neuromuscular-associated proteins.
Closing excerpt
Altogether, this study suggests that nmTECs have a significant function in MG pathogenesis via ectopic expression of neuromuscular molecules.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (152 words)

Myasthenia gravis (MG) is a neurological disease caused by autoantibodies against neuromuscular-associated proteins. While MG frequently develops in thymoma patients, the etiologic factors for MG are not well understood. Here, by constructing a comprehensive atlas of thymoma using bulk and single-cell RNA-sequencing, we identify ectopic expression of neuromuscular molecules in MG-type thymoma. These molecules are found within a distinct subpopulation of medullary thymic epithelial cells (mTECs), which we name neuromuscular mTECs (nmTECs). MG-thymoma also exhibits microenvironments dedicated to autoantibody production, including ectopic germinal center formation, T follicular helper cell accumulation, and type 2 conventional dendritic cell migration. Cell-cell interaction analysis also predicts the interaction between nmTECs and T/B cells via CXCL12-CXCR4. The enrichment of nmTECs presenting neuromuscular molecules within MG-thymoma is further confirmed immunohistochemically and by cellular composition estimation from the MG-thymoma transcriptome. Altogether, this study suggests that nmTECs have a significant function in MG pathogenesis via ectopic expression of neuromuscular molecules.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35869073 · DOI · PMC9305039

Unraveling molecular networks in thymic epithelial tumors: deciphering the unique signatures [2]

Review article Zhang X, Zhang P, Cong A, Feng Y, Chi H, Xia Z, et al. · · 2023 · cited 53 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
Thymic epithelial tumors (TETs) are a rare and diverse group of neoplasms characterized by distinct molecular signatures.
Closing excerpt
We also discuss future research directions and anticipated challenges in this intriguing field.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (119 words)

Thymic epithelial tumors (TETs) are a rare and diverse group of neoplasms characterized by distinct molecular signatures. This review delves into the complex molecular networks of TETs, highlighting key aspects such as chromosomal abnormalities, molecular subtypes, aberrant gene mutations and expressions, structural gene rearrangements, and epigenetic changes. Additionally, the influence of the dynamic tumor microenvironment on TET behavior and therapeutic responses is examined. A thorough understanding of these facets elucidates TET pathogenesis, offering avenues for enhancing diagnostic accuracy, refining prognostic assessments, and tailoring targeted therapeutic strategies. Our review underscores the importance of deciphering TETs' unique molecular signatures to advance personalized treatment paradigms and improve patient outcomes. We also discuss future research directions and anticipated challenges in this intriguing field.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 37849766 · DOI · PMC10577431

Comprehensive Genomic Profiling of 274 Thymic Epithelial Tumors Unveils Oncogenic Pathways and Predictive Biomarkers [3]

Research article Girard N, Basse C, Schrock A, Ramkissoon S, Killian K, Ross JS · · 2022 · cited 40 times (Europe PMC)

Abstract reading summary — source excerpts
Opening excerpt
BackgroundThymic malignancies represent a heterogeneous group of rare thoracic cancers, which are classified according to the World Health Organization histopathologic classification, that distinguishes thymomas from thymic carcinomas.
Closing excerpt
A subset of thymic carcinomas show high tumor mutation burden, what may be a predictor of efficacy of immune checkpoint inhibitors.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (268 words)

BackgroundThymic malignancies represent a heterogeneous group of rare thoracic cancers, which are classified according to the World Health Organization histopathologic classification, that distinguishes thymomas from thymic carcinomas. Data regarding the biology of those tumors are limited in the literature, and the vast majority have been obtained using surgical specimens from early-stage disease. Meanwhile, treatment of advanced, refractory thymic tumors currently relies on chemotherapy, with limited efficacy. Comprehensive genomic profiling (CGP) of advanced, refractory tumors would open some opportunities for innovative treatments.Patients and methodsA total of 90 and 174 consecutive patients with thymoma or thymic carcinoma, respectively, for whom formalin-fixed, paraffin-embedded specimens from recurrent, refractory tumor were sequenced, were included. Sequencing was performed using hybridization-captured, adaptor ligation-based libraries to a mean coverage depth of >500× for up to 315 cancer-related genes plus 37 introns from 28 genes frequently rearranged in cancer.ResultsThymomas featured a low frequency of genomic alterations (average of 1.8/tumor), and low levels of TMB. The genomic alterations identified in more than 10% of cases were in the CDKN2A/B and TP53 genes. Amplification in the NTRK1 gene was found in an unresectable, stage III, type B3 thymoma. Thymic carcinomas featured a significantly higher frequency of alterations at 4.0/tumor (P ConclusionsOur cohort is the largest available so far, reporting on CGP of thymic epithelial tumors in the setting of advanced disease. The identification of clinically relevant genomic alterations in the KIT, PI3K, CDKN2A/B, or NTRK genes provides a strong rationale for potential precision medicine approaches using targeted agents. A subset of thymic carcinomas show high tumor mutation burden, what may be a predictor of efficacy of immune checkpoint inhibitors.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 35749302 · DOI · PMC9632319

CD19, immunoglobulin level, and varied anti-cytokine autoantibodies underline dichotomous susceptibility to types of infection in patients with thymomas [4]

Research article Tan Z, Shin A, Tan RYM, Wang D, Huang CH, Ravikumar S, et al. · · 2026

Abstract reading summary — source excerpts
Opening excerpt
ObjectivesIncreased susceptibility to infections is observed in patients with thymomas.
Closing excerpt
ConclusionsThe dichotomy of infective manifestations (viral/PJP versus NTM/invasive bacteria/fungal) underlies distinct and novel immune susceptibility beyond the classic Good syndrome label in thymoma patients, with implications for different approaches to clinical management.
Interpretation limits
Verbatim excerpts from the authors’ abstract; the closing excerpt may describe a finding, limitation or recommendation. Design, population, effect size and uncertainty have not been independently extracted or appraised. Read the complete abstract and linked paper before interpreting the findings.
Read complete abstract (251 words)

ObjectivesIncreased susceptibility to infections is observed in patients with thymomas. These have been invariably attributed to Good syndrome with hypogammaglobulinemia, but there is noticeable heterogeneity in clinical presentation. We clinically and immunophenotypically characterized the infective susceptibilities encountered in these patients.MethodsOf thymoma patients recruited from Singapore and South Korea, their infection types were correlated against immunological parameters, including IgG, IgM, IgA, CD19+ B cells, and CD4+ T cells, and the presence of neutralizing anti-cytokine autoantibodies using direct ELISA. Lymphocyte subset immunophenotyping was performed. Ascertainment of immune signaling pathway disruption was through serum switch experiments. Respective immune signal outputs were probed using Western blotting.ResultsA total of 15 thymoma patients (median age, 54 years; 13 men [87%]) were clustered into two groups with discernible differences in infective manifestations. In one group, nine patients (60%) had recurrent/severe viral or Pneumocystis jirovecii infections. These patients had low immunoglobulins and CD19+ B cells. The second group of six patients (40%) had difficult-to-treat non-tuberculous mycobacterium (NTM) or invasive bacterial or fungal infections. They had normal immunoglobulins levels and possessed autoantibodies against interleukin (IL-)-12, IL--23, or interferon-alpha (IFN-α), which consisted of anti-IFN-α2 and anti-IFN-ω subtypes. The autoantibodies consisted of a heterogeneous spread across IgG1 to IgG4 subclasses. These anti-IL--12, anti-IL--23, and anti-IFN-α autoantibodies were neutralizing and compromised various phosphorylated-STAT signaling pathways that are critical in host anti-pathogen response.ConclusionsThe dichotomy of infective manifestations (viral/PJP versus NTM/invasive bacteria/fungal) underlies distinct and novel immune susceptibility beyond the classic Good syndrome label in thymoma patients, with implications for different approaches to clinical management.

Abstract reproduced from the open-access article under the recorded cc by licence; © the authors. PMID 42500663 · DOI · PMC13396285

Key reviews and meta-analyses

The most cited review-type papers among PubMed’s best-match results for this heading, listed with bibliographic details only. Follow the links for the full text and access terms.

  • Research article Epidemiology of thymoma and associated malignancies [5]
    Engels EA · J Thorac Oncol · 2010 · cited 458 times (Europe PMC)
  • Research article The 2015 World Health Organization Classification of Tumors of the Thymus: Continuity and Changes [6]
    Marx A, Chan JK, Coindre JM, Detterbeck F, Girard N, Harris NL, et al. · J Thorac Oncol · 2015 · cited 432 times (Europe PMC)
  • Research article Thymoma and thymic carcinomas [7]
    Scorsetti M, Leo F, Trama A, D'Angelillo R, Serpico D, Macerelli M, et al. · Crit Rev Oncol Hematol · 2016 · cited 249 times (Europe PMC)
  • Research article Thymoma associated with autoimmune diseases: 85 cases and literature review [8]
    Bernard C, Frih H, Pasquet F, Kerever S, Jamilloux Y, Tronc F, et al. · Autoimmun Rev · 2016 · cited 200 times (Europe PMC)
  • Research article The management of thymoma: a systematic review and practice guideline [9]
    Falkson CB, Bezjak A, Darling G, Gregg R, Malthaner R, Maziak DE, et al. · J Thorac Oncol · 2009 · cited 193 times (Europe PMC)
  • Research article Thymoma and autoimmunity [10]
    Shelly S, Agmon-Levin N, Altman A, Shoenfeld Y · Cell Mol Immunol · 2011 · cited 166 times (Europe PMC)

References

  1. Yasumizu Y, Yasumizu Y, Ohkura N, Murata H, Kinoshita M, Funaki S, et al.. Myasthenia gravis-specific aberrant neuromuscular gene expression by medullary thymic epithelial cells in thymoma. . 2022. PMID 35869073 · DOI · PMC9305039
  2. Zhang X, Zhang P, Cong A, Feng Y, Chi H, Xia Z, et al.. Unraveling molecular networks in thymic epithelial tumors: deciphering the unique signatures. . 2023. PMID 37849766 · DOI · PMC10577431
  3. Girard N, Basse C, Schrock A, Ramkissoon S, Killian K, Ross JS. Comprehensive Genomic Profiling of 274 Thymic Epithelial Tumors Unveils Oncogenic Pathways and Predictive Biomarkers. . 2022. PMID 35749302 · DOI · PMC9632319
  4. Tan Z, Shin A, Tan RYM, Wang D, Huang CH, Ravikumar S, et al.. CD19, immunoglobulin level, and varied anti-cytokine autoantibodies underline dichotomous susceptibility to types of infection in patients with thymomas. . 2026. PMID 42500663 · DOI · PMC13396285
  5. Engels EA. Epidemiology of thymoma and associated malignancies. J Thorac Oncol. 2010. PMID 20859116 · DOI · PMC2951303
  6. Marx A, Chan JK, Coindre JM, Detterbeck F, Girard N, Harris NL, et al.. The 2015 World Health Organization Classification of Tumors of the Thymus: Continuity and Changes. J Thorac Oncol. 2015. PMID 26295375 · DOI · PMC4581965
  7. Scorsetti M, Leo F, Trama A, D'Angelillo R, Serpico D, Macerelli M, et al.. Thymoma and thymic carcinomas. Crit Rev Oncol Hematol. 2016. PMID 26818050 · DOI
  8. Bernard C, Frih H, Pasquet F, Kerever S, Jamilloux Y, Tronc F, et al.. Thymoma associated with autoimmune diseases: 85 cases and literature review. Autoimmun Rev. 2016. PMID 26408958 · DOI
  9. Falkson CB, Bezjak A, Darling G, Gregg R, Malthaner R, Maziak DE, et al.. The management of thymoma: a systematic review and practice guideline. J Thorac Oncol. 2009. PMID 19557895 · DOI
  10. Shelly S, Agmon-Levin N, Altman A, Shoenfeld Y. Thymoma and autoimmunity. Cell Mol Immunol. 2011. PMID 21317916 · DOI · PMC4012878

About this article

Sources
NLM Medical Subject Headings (definition, synonyms); NCBI PubMed (counts, identifiers); Europe PMC (open-access abstracts and citation counts).
Verification
Every reference was resolved against PubMed on 2026-10-31; title, year and DOI matched.
Review state
automated source verified; no human expert review has been recorded yet.
Version
1, last updated 2026-10-29.

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At a glance

9,136
PubMed records on this heading
14%
published since 2020
922
review articles
8
randomized trials
10
verified references below

Counts come from PubMed on 2026-10-29; they show how much has been written, not how strong the evidence is.

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