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Garzon S, Caliò A, Ferrari FA, Iannicello CQ, Zorzato PC, Bosco M, Piazzola E, Martignoni G, Laganà AS, Mariani A, Uccella S. Uterine perivascular epithelioid cell tumors (PEComa) and the accuracy of proposed classification systems in predicting the malignant versus non-malignant behavior. Gynecol Oncol 2024; 188:35-43. [PMID: 38905754 DOI: 10.1016/j.ygyno.2024.06.007] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/04/2024] [Revised: 06/08/2024] [Accepted: 06/11/2024] [Indexed: 06/23/2024]
Abstract
OBJECTIVE To compare the accuracy of available classification systems (Folpe, modified Folpe, Bennet, and Schoolmester) in predicting the behavior of uterine Perivascular Epithelioid Cell tumors (PEComas). METHODS We reviewed the pathology registry to identify all uterine PEComas treated at our center. We conducted a systematic literature review searching electronic databases from inception to November 2023. We included all references reporting at least one case of uterine PEComa; cases associated with tuberous sclerosis complex were excluded. Patient-level data were extracted by identified records. Survival analysis was used to assess the accuracy of all proposed classification systems to classify uterine PEComas as malignant versus non-malignant. RESULTS Six uterine PEComas were treated at our center. The literature search identified 101 uterine PEComas from 32 studies. Eighty-five out of 107 PEComas (28 studies and our series) reported enough follow-up data and details to apply all four classifications. The modified Folpe classification demonstrated the highest hazard ratio (HR) for relapse (HR:8.63; 95% confidence interval [CI] 2.06-36.1) and death due to PEComa (HR:6.8, 95%CI:0.89-51.6) for malignant versus non-malignant PEComas. Changing the cut-off of PEComa size to ≥8 cm and mitotic figures per 50 high power fields to ≥5, the HR for recurrence lowered (HR:6.26; 95% CI 2.20-17.80), but HR for death increased (HR:10.3; 95% CI 1.35-77.80). CONCLUSIONS The modified Folpe classification was the most accurate in predicting the PEComa behavior. Changing the cut-off of PEComa size and number of mitotic figures may improve the accuracy in predicting death due to disease.
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Affiliation(s)
- Simone Garzon
- Unit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Verona, Italy.
| | - Anna Caliò
- Section of Pathology, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Filippo Alberto Ferrari
- Unit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Verona, Italy
| | - Cesare Quintino Iannicello
- Unit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Verona, Italy
| | - Pier Carlo Zorzato
- Unit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Verona, Italy
| | - Mariachiara Bosco
- Unit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Verona, Italy
| | - Elena Piazzola
- Section of Pathology, Department of Diagnostic and Public Health, University of Verona, Verona, Italy
| | - Guido Martignoni
- Section of Pathology, Department of Diagnostic and Public Health, University of Verona, Verona, Italy; Department of Pathology, Pederzoli Hospital, Peschiera del Garda, Verona, Italy
| | - Antonio Simone Laganà
- Unit of Obstetrics and Gynecology, "Paolo Giaccone" Hospital, Department of Health Promotion, Mother and Child Care, Internal Medicine and Medical Specialties (PROMISE), University of Palermo, Palermo, Italy
| | - Andrea Mariani
- Department of Gynecology and Obstetrics, Mayo Clinic, Rochester, MN, USA
| | - Stefano Uccella
- Unit of Obstetrics and Gynecology, Department of Surgery, Dentistry, Pediatrics, and Gynecology, AOUI Verona, University of Verona, Verona, Italy
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Andrieu PC, Woo S, Kim TH, Kertowidjojo E, Hodgson A, Sun S. New imaging modalities to distinguish rare uterine mesenchymal cancers from benign uterine lesions. Curr Opin Oncol 2021; 33:464-475. [PMID: 34172593 PMCID: PMC8376762 DOI: 10.1097/cco.0000000000000758] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
Abstract
PURPOSE OF REVIEW Uterine sarcomas are rare and are often challenging to differentiate on imaging from benign mimics, such as leiomyoma. As functional MRI techniques have improved and new adjuncts, such as machine learning and texture analysis, are now being investigated, it is helpful to be aware of the current literature on imaging features that may sometimes allow for preoperative distinction. RECENT FINDINGS MRI, with both conventional and functional imaging, is the modality of choice for evaluating uterine mesenchymal tumors, especially in differentiating uterine leiomyosarcoma from leiomyoma through validated diagnostic algorithms. MRI is sometimes helpful in differentiating high-grade stromal sarcoma from low-grade stromal sarcoma or differentiating endometrial stromal sarcoma from endometrial carcinoma. However, imaging remains nonspecific for evaluating rarer neoplasms, such as uterine tumor resembling ovarian sex cord tumor or perivascular epithelioid cell tumor, primarily because of the small number and power of relevant studies. SUMMARY Through advances in MRI techniques and novel investigational imaging adjuncts, such as machine learning and texture analysis, imaging differentiation of malignant from benign uterine mesenchymal tumors has improved and could help reduce morbidity relating to misdiagnosis or diagnostic delays.
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Affiliation(s)
| | - Sungmin Woo
- Department of Radiology. Memorial Sloan Kettering Cancer Center
| | - Tae-Hyung Kim
- Department of Radiology, Seoul National University College of Medicine, Seoul, Korea
- Department of Radiology, Naval Pohang Hospital, Pohang, Korea
| | | | | | - Simon Sun
- Department of Radiology. Hospital for Special Surgery
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Ultrasound Features of a Uterine Perivascular Epithelioid Cell Tumor (PEComa): Case Report and Literature Review. Diagnostics (Basel) 2020; 10:diagnostics10080553. [PMID: 32756336 PMCID: PMC7459969 DOI: 10.3390/diagnostics10080553] [Citation(s) in RCA: 10] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/30/2020] [Revised: 07/31/2020] [Accepted: 07/31/2020] [Indexed: 12/23/2022] Open
Abstract
Background: Perivascular epithelioid cell tumors (PEComas) are rare mesenchymal tumors. One of the most frequent localizations of PEComas is the female genitourinary tract, and the uterus is the most involved site after the kidney. Correct preoperative diagnosis is rarely achieved due to the presence of nonspecific imaging features. We report a case of a uterine PEComa with particular reference to ultrasound’s role in characterizing this rare occurrence. Case presentation: a 45-year-old White woman came to our observation for cyclic abdominopelvic pain and chronic constipation. The pre-surgical ultrasound examination showed a heterogeneous tumor that was 4 cm in size, localized on the right anterolateral uterine wall. The mass had well-delimited borders and a central hypoechoic portion. The use of color Doppler showed a rich, irregular vasculature in the center with low impedance. The preoperative diagnostic hypothesis was of a smooth muscle tumor of uncertain malignant potential. After careful counseling, a surgical approach was decided upon, including a total laparoscopic hysterectomy with bilateral salpingectomy. The histological and phenotypical features were consistent with a uterine PEComa. At the last follow-up, two years after surgery, the patient is alive and well. Conclusions: Uterine PEComa is a rare occurrence that should be included in the differential diagnosis of uterine wall tumors. It can appear as a small uterine mass with heterogeneous echogenicity and a rich vascular pattern during an ultrasound evaluation. This diagnostic suspicion may assist in better surgical planning.
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Gentile M, Zinna M, Zanella C, Costanza A, Dalfior D, Sina S, Greco F, Fiorica F, Colombari R, Catapano P, Bonetti A, Remo A. Uterine PEComa with aggressive behavior: A review with an additional case of spontaneous vaginal expulsion. Pathol Res Pract 2020; 216:152991. [PMID: 32527449 DOI: 10.1016/j.prp.2020.152991] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/24/2020] [Accepted: 04/22/2020] [Indexed: 11/28/2022]
Abstract
Perivascular epithelioid cell tumor (PEComa) is a rare mesenchymal tumor originating from perivascular epitheloid cells showing melanocytic and smooth muscle differentiation. The uterus represents the second most common site of origin. A 49 years woman presented to our Hospital for a vaginal spontaneous expulsion of a mass suggestive for malignant mesenchymal tumor. The patient underwent total hysterectomy and bilateral salpingo-oophorectomy and the histopathological report was compliant with a PEComa with aggressive behavior. Medical Literature databases about PEComa were searched. The current literature identified near 90 cases of uterine PEComas and they are categorized as uncertain malignant potential or with aggressive behavior. Primary surgical excision represents the gold-standard treatment. Recently targeted therapy with mTOR inhibitors has been introduced with an important beneficial. In this paper we review the Literature about the uPEComa with aggressive behavior reporting the first case of spontaneous vaginal expulsion.
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Affiliation(s)
- M Gentile
- Obstetrics and Gynecology Unit, Surgical Department, ULSS 9 "Scaligera", Verona, Italy
| | - M Zinna
- Obstetrics and Gynecology Unit, Surgical Department, ULSS 9 "Scaligera", Verona, Italy
| | - C Zanella
- Oncology Unit, Oncology Department, ULSS9 "Scaligera", Verona, Italy
| | - A Costanza
- Obstetrics and Gynecology Unit, Surgical Department, ULSS 9 "Scaligera", Verona, Italy
| | - D Dalfior
- Pathology Unit, Service Department, ULSS9 "Scaligera", Verona, Italy
| | - S Sina
- Oncology Unit, Oncology Department, ULSS9 "Scaligera", Verona, Italy
| | - F Greco
- Oncology Unit, Oncology Department, ULSS9 "Scaligera", Verona, Italy
| | - F Fiorica
- Radiotherapy Unit, Oncology Department, ULSS9 "Scaligera", Verona, Italy
| | - R Colombari
- Pathology Unit, Service Department, ULSS9 "Scaligera", Verona, Italy
| | - P Catapano
- Obstetrics and Gynecology Unit, Surgical Department, ULSS 9 "Scaligera", Verona, Italy
| | - A Bonetti
- Oncology Unit, Oncology Department, ULSS9 "Scaligera", Verona, Italy
| | - A Remo
- Pathology Unit, Service Department, ULSS9 "Scaligera", Verona, Italy.
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