Smooth muscle tumor of uncertain malignant potential (STUMP): a clinicopathologic analysis of 26 cases.

Uterine neoplasm clinicopathologic characteristic immunohistochemistry smooth muscle tumor of uncertain malignant potential (STUMP)

Journal

International journal of clinical and experimental pathology
ISSN: 1936-2625
Titre abrégé: Int J Clin Exp Pathol
Pays: United States
ID NLM: 101480565

Informations de publication

Date de publication:
2020
Historique:
received: 10 01 2020
accepted: 06 02 2020
entrez: 2 5 2020
pubmed: 2 5 2020
medline: 2 5 2020
Statut: epublish

Résumé

To investigate the clinicopathologic features, differential diagnosis, and factors associated with recurrence in patients with smooth muscle tumors of uncertain malignant potential (STUMP). The clinical and pathologic data of STUMP patients diagnosed in Mindong Hospital of Ningde City from 2017 to 2018 were collected and slides reviewed, the high-frequency color Doppler ultrasound and pathological characteristics were observed, and the literature was reviewed. All the STUMP diagnoses were confirmed by slide review. The age of onset was 23-61 years (mean 42.96 years). The main clinical symptoms were leiomyoma of uterus, prolonged menstruation, and increased menstruation. Color Doppler ultrasonography showed hypoechoic uterine wall nodules. The mean follow-up time was 62.9 months (range: 13-96 months). Smooth muscle tumors of undetermined malignant potential (STUMP) in the uterus are one of the rare gynecologic neoplasms. Although not malignant, they should be considered as low malignant potential tumors because they occasionally recur. Six of 13 recurrent tumors recurred in the years following hysterectomy with preservation. These six recurrent tumors are the only ones that had a strong immune response to p16 and p53. In support of early observation, these markers may help predict STUMP behavior. Patients diagnosed with STUMP should be monitored over time.

Sections du résumé

BACKGROUND BACKGROUND
To investigate the clinicopathologic features, differential diagnosis, and factors associated with recurrence in patients with smooth muscle tumors of uncertain malignant potential (STUMP).
METHODS METHODS
The clinical and pathologic data of STUMP patients diagnosed in Mindong Hospital of Ningde City from 2017 to 2018 were collected and slides reviewed, the high-frequency color Doppler ultrasound and pathological characteristics were observed, and the literature was reviewed.
RESULTS RESULTS
All the STUMP diagnoses were confirmed by slide review. The age of onset was 23-61 years (mean 42.96 years). The main clinical symptoms were leiomyoma of uterus, prolonged menstruation, and increased menstruation. Color Doppler ultrasonography showed hypoechoic uterine wall nodules. The mean follow-up time was 62.9 months (range: 13-96 months).
CONCLUSIONS CONCLUSIONS
Smooth muscle tumors of undetermined malignant potential (STUMP) in the uterus are one of the rare gynecologic neoplasms. Although not malignant, they should be considered as low malignant potential tumors because they occasionally recur. Six of 13 recurrent tumors recurred in the years following hysterectomy with preservation. These six recurrent tumors are the only ones that had a strong immune response to p16 and p53. In support of early observation, these markers may help predict STUMP behavior. Patients diagnosed with STUMP should be monitored over time.

Identifiants

pubmed: 32355532
pmc: PMC7191150

Types de publication

Journal Article

Langues

eng

Pagination

818-826

Informations de copyright

IJCEP Copyright © 2020.

Déclaration de conflit d'intérêts

None.

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Auteurs

Yuan-Yin Zheng (YY)

Department of Pathology, Mindong Hospital of Fujian Medical University Fu'an, Fujian, China.

Xiao-Bin Liu (XB)

Department of Pathology, Mindong Hospital of Fujian Medical University Fu'an, Fujian, China.

Ying-Yu Mao (YY)

Department of Pathology, Mindong Hospital of Fujian Medical University Fu'an, Fujian, China.

Mao-Hua Lin (MH)

Department of Pathology, Mindong Hospital of Fujian Medical University Fu'an, Fujian, China.

Classifications MeSH