Histological markers, sickle-shaped blood vessels, myxoid area, and infiltrating growth pattern help stratify the prognosis of patients with myxofibrosarcoma/undifferentiated sarcoma.


Journal

Scientific reports
ISSN: 2045-2322
Titre abrégé: Sci Rep
Pays: England
ID NLM: 101563288

Informations de publication

Date de publication:
25 04 2023
Historique:
received: 07 07 2022
accepted: 22 04 2023
medline: 17 5 2023
pubmed: 15 5 2023
entrez: 15 5 2023
Statut: epublish

Résumé

Myxofibrosarcoma (MFS) and undifferentiated sarcoma (US) have been considered as tumors of the same lineage based on genetic/epigenetic profiling. Although MFS shows a notably better prognosis than US, there are no clear criteria for distinguishing between them. Here, we examined 85 patients with MFS/US and found that tumors with infiltrative growth patterns tended to have more myxoid areas and higher local recurrence rates but fewer distant metastases and better overall survival. Morphologically characteristic sickle-shaped blood vessels, which tended to have fewer αSMA-positive cells, were also observed in these tumors, compared with normal vessels. Based on the incidence of these sickle-shaped blood vessels, we subdivided conventionally diagnosed US into two groups. This stratification was significantly correlated with metastasis and prognosis. RNA sequencing of 24 tumors (9 MFS and 15 US tumors) demonstrated that the proteasome, NF-kB, and VEGF pathways were differentially regulated among these tumors. Expression levels of KDR and NFATC4, which encode a transcription factor responsible for the neuritin-insulin receptor angiogenic signaling, were elevated in the sickle-shaped blood vessel-rich US tumors. These findings indicate that further analyses may help elucidate the malignant potential of MFS/US tumors as well as the development of therapeutic strategies for such tumors.

Identifiants

pubmed: 37185612
doi: 10.1038/s41598-023-34026-w
pii: 10.1038/s41598-023-34026-w
pmc: PMC10130155
doi:

Types de publication

Journal Article Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

6744

Informations de copyright

© 2023. The Author(s).

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Auteurs

Kota Washimi (K)

Department of Pathology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan. washimik@kcch.jp.

Rika Kasajima (R)

Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan.
Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.

Eigo Shimizu (E)

Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.

Shinya Sato (S)

Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan.

Yoichiro Okubo (Y)

Department of Pathology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.

Emi Yoshioka (E)

Department of Pathology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.

Hiroto Narimatsu (H)

Cancer Prevention and Control Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan.

Toru Hiruma (T)

Division of Musculoskeletal Tumor Surgery, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.

Kotoe Katayama (K)

Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.

Rui Yamaguchi (R)

Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Division of Cancer Systems Biology, Aichi Cancer Center Research Institute, Nagoya, Japan.
Division of Cancer Informatics, Nagoya University Graduate School of Medicine, Nagoya, Japan.

Kiyoshi Yamaguchi (K)

Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.

Yoichi Furukawa (Y)

Division of Clinical Genome Research, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.

Satoru Miyano (S)

Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.
Department of Integrated Data Science, Medical and Dental Data Science Center, Tokyo Medical and Dental University, Tokyo, Japan.

Seiya Imoto (S)

Division of Health Medical Intelligence, Human Genome Center, Institute of Medical Science, The University of Tokyo, Tokyo, Japan.

Tomoyuki Yokose (T)

Department of Pathology, Kanagawa Cancer Center, Yokohama, Kanagawa, Japan.

Yohei Miyagi (Y)

Molecular Pathology and Genetics Division, Kanagawa Cancer Center Research Institute, Yokohama, Kanagawa, Japan.

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