Identification of invasive subpopulations using spatial transcriptome analysis in thyroid follicular tumors.

CD74 Capsular invasion Follicular carcinoma Spatial transcriptome analysis Thyroid

Journal

Journal of pathology and translational medicine
ISSN: 2383-7837
Titre abrégé: J Pathol Transl Med
Pays: Korea (South)
ID NLM: 101650151

Informations de publication

Date de publication:
Jan 2024
Historique:
received: 27 10 2023
accepted: 21 11 2023
medline: 17 1 2024
pubmed: 17 1 2024
entrez: 17 1 2024
Statut: ppublish

Résumé

Follicular tumors include follicular thyroid adenomas and carcinomas; however, it is difficult to distinguish between the two when the cytology or biopsy material is obtained from a portion of the tumor. The presence or absence of invasion in the resected material is used to differentiate between adenomas and carcinomas, which often results in the unnecessary removal of the adenomas. If nodules that may be follicular thyroid carcinomas are identified preoperatively, active surveillance of other nodules as adenomas is possible, which reduces the risk of surgical complications and the expenses incurred during medical treatment. Therefore, we aimed to identify biomarkers in the invasive subpopulation of follicular tumor cells. We performed a spatial transcriptome analysis of a case of follicular thyroid carcinoma and examined the dynamics of CD74 expression in 36 cases. We identified a subpopulation in a region close to the invasive area, and this subpopulation expressed high levels of CD74. Immunohistochemically, CD74 was highly expressed in the invasive and peripheral areas of the tumor. Although high CD74 expression has been reported in papillary and anaplastic thyroid carcinomas, it has not been analyzed in follicular thyroid carcinomas. Furthermore, the heterogeneity of CD74 expression in thyroid tumors has not yet been reported. The CD74-positive subpopulation identified in this study may be useful in predicting invasion of follicular thyroid carcinomas.

Sections du résumé

BACKGROUND BACKGROUND
Follicular tumors include follicular thyroid adenomas and carcinomas; however, it is difficult to distinguish between the two when the cytology or biopsy material is obtained from a portion of the tumor. The presence or absence of invasion in the resected material is used to differentiate between adenomas and carcinomas, which often results in the unnecessary removal of the adenomas. If nodules that may be follicular thyroid carcinomas are identified preoperatively, active surveillance of other nodules as adenomas is possible, which reduces the risk of surgical complications and the expenses incurred during medical treatment. Therefore, we aimed to identify biomarkers in the invasive subpopulation of follicular tumor cells.
METHODS METHODS
We performed a spatial transcriptome analysis of a case of follicular thyroid carcinoma and examined the dynamics of CD74 expression in 36 cases.
RESULTS RESULTS
We identified a subpopulation in a region close to the invasive area, and this subpopulation expressed high levels of CD74. Immunohistochemically, CD74 was highly expressed in the invasive and peripheral areas of the tumor.
CONCLUSIONS CONCLUSIONS
Although high CD74 expression has been reported in papillary and anaplastic thyroid carcinomas, it has not been analyzed in follicular thyroid carcinomas. Furthermore, the heterogeneity of CD74 expression in thyroid tumors has not yet been reported. The CD74-positive subpopulation identified in this study may be useful in predicting invasion of follicular thyroid carcinomas.

Identifiants

pubmed: 38229431
pii: jptm.2023.11.21
doi: 10.4132/jptm.2023.11.21
doi:

Types de publication

Journal Article

Langues

eng

Pagination

22-28

Subventions

Organisme : Japan Society for the Promotion of Science
ID : A19H034520
Organisme : Japan Society for the Promotion of Science
ID : T22K194330
Organisme : Japan Society for the Promotion of Science
ID : A23H027000
Organisme : Japan Agency for Medical Research and Development
ID : JP21ae0121049

Auteurs

Ayana Suzuki (A)

Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Department of Diagnostic Pathology and Cytology, Kuma Hospital, Kobe, Hyogo, Japan.

Satoshi Nojima (S)

Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.

Shinichiro Tahara (S)

Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.

Daisuke Motooka (D)

Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.

Masaharu Kohara (M)

Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.

Daisuke Okuzaki (D)

Genome Information Research Center, Research Institute for Microbial Diseases, Osaka University, Suita, Osaka, Japan.
Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka, Japan.

Mitsuyoshi Hirokawa (M)

Department of Diagnostic Pathology and Cytology, Kuma Hospital, Kobe, Hyogo, Japan.

Eiichi Morii (E)

Department of Pathology, Graduate School of Medicine, Osaka University, Suita, Osaka, Japan.
Institute for Open and Transdisciplinary Research Initiatives, Osaka University, Suita, Osaka, Japan.

Classifications MeSH