Leiomyosarcoma of the uterus: a clinicopathologic study of 21 cases. 2003

Chin-Hsiung Hsieh, and Hao Lin, and Chao-Cheng Huang, and Eng-Yen Huang, and Shiuh-Young Chang, and Chan-Chao ChangChien
Department of Obstetrics and Gynecology, Chang Gung Memorial Hospital, Kaohsiung, Taiwan.

BACKGROUND The purpose of the present study was to identify the prognostic factors of and to determine the most appropriate mode of treatment for uterine leiomyosarcoma. METHODS We reviewed the hospital records, including surgical notes and pathologic reports, of 21 patients with uterine leiomyosarcoma treated at Chang Gung Memorial Hospital, Kaohsiung, Taiwan, between 1987 and 1997. Univariate analysis was performed using the log-rank test. Cox regression was used to identify independent prognostic factors. RESULTS The mean follow-up time was 30 months, and the 5-year disease-free survival rate was 55%. Evaluating the correlation between clinicopathologic parameters and survival, early stage (p = 0.0002), tumor cells without necrosis (p = 0.0026), low-grade tumor (p = 0.015), absence of vascular space involvement (p = 0.006), and tumor without atypia (p = 0.016) were associated with good prognosis. However, in a multivariate analysis using the Cox model, only advanced stage (p = 0.032) and tumor necrosis (p = 0.032) were found to be independent poor prognostic factors. The 5-year disease-free survival was only 21% in patients with the presence of any one or both of these two factors. Five of 11 patients in this group had received aggressive adjuvant therapy after surgery, and none of them survived more than 19 months. CONCLUSIONS We found that patients with advanced stage or presence of tumor necrosis had an extremely poor prognosis. Adjuvant therapy seemed to play a limited role, and provided no survival benefit. Treatment for these patients should be palliative until effective therapeutic modalities prove otherwise.

UI MeSH Term Description Entries
D007890 Leiomyosarcoma A sarcoma containing large spindle cells of smooth muscle. Although it rarely occurs in soft tissue, it is common in the viscera. It is the most common soft tissue sarcoma of the gastrointestinal tract and uterus. The median age of patients is 60 years. (From Dorland, 27th ed; Holland et al., Cancer Medicine, 3d ed, p1865) Leiomyosarcoma, Epithelioid,Leiomyosarcoma, Myxoid,Epithelioid Leiomyosarcoma,Epithelioid Leiomyosarcomas,Leiomyosarcomas,Leiomyosarcomas, Epithelioid,Leiomyosarcomas, Myxoid,Myxoid Leiomyosarcoma,Myxoid Leiomyosarcomas
D008875 Middle Aged An adult aged 45 - 64 years. Middle Age
D009336 Necrosis The death of cells in an organ or tissue due to disease, injury or failure of the blood supply.
D009364 Neoplasm Recurrence, Local The local recurrence of a neoplasm following treatment. It arises from microscopic cells of the original neoplasm that have escaped therapeutic intervention and later become clinically visible at the original site. Local Neoplasm Recurrence,Local Neoplasm Recurrences,Locoregional Neoplasm Recurrence,Neoplasm Recurrence, Locoregional,Neoplasm Recurrences, Local,Recurrence, Local Neoplasm,Recurrence, Locoregional Neoplasm,Recurrences, Local Neoplasm,Locoregional Neoplasm Recurrences,Neoplasm Recurrences, Locoregional,Recurrences, Locoregional Neoplasm
D009367 Neoplasm Staging Methods which attempt to express in replicable terms the extent of the neoplasm in the patient. Cancer Staging,Staging, Neoplasm,Tumor Staging,TNM Classification,TNM Staging,TNM Staging System,Classification, TNM,Classifications, TNM,Staging System, TNM,Staging Systems, TNM,Staging, Cancer,Staging, TNM,Staging, Tumor,System, TNM Staging,Systems, TNM Staging,TNM Classifications,TNM Staging Systems
D011379 Prognosis A prediction of the probable outcome of a disease based on a individual's condition and the usual course of the disease as seen in similar situations. Prognostic Factor,Prognostic Factors,Factor, Prognostic,Factors, Prognostic,Prognoses
D012044 Regression Analysis Procedures for finding the mathematical function which best describes the relationship between a dependent variable and one or more independent variables. In linear regression (see LINEAR MODELS) the relationship is constrained to be a straight line and LEAST-SQUARES ANALYSIS is used to determine the best fit. In logistic regression (see LOGISTIC MODELS) the dependent variable is qualitative rather than continuously variable and LIKELIHOOD FUNCTIONS are used to find the best relationship. In multiple regression, the dependent variable is considered to depend on more than a single independent variable. Regression Diagnostics,Statistical Regression,Analysis, Regression,Analyses, Regression,Diagnostics, Regression,Regression Analyses,Regression, Statistical,Regressions, Statistical,Statistical Regressions
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D000328 Adult A person having attained full growth or maturity. Adults are of 19 through 44 years of age. For a person between 19 and 24 years of age, YOUNG ADULT is available. Adults

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