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Malignant granular cell tumor: Clinical features and long‐term survival
Author(s) -
Moten Ambria S.,
Zhao Huaqing,
Wu Hong,
Farma Jeffrey M.
Publication year - 2018
Publication title -
journal of surgical oncology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.201
H-Index - 111
eISSN - 1096-9098
pISSN - 0022-4790
DOI - 10.1002/jso.25227
Subject(s) - medicine , confidence interval , hazard ratio , radiation therapy , proportional hazards model , metastasis , survival analysis , epidemiology , chemotherapy , survival rate , oncology , surgery , cancer
Background Malignant granular cell tumor GCT (mGCT) has not been well described. We sought to investigate associations between tumor characteristics, treatments and survival. Methods Patients diagnosed with mGCT years 1995‐2014 were identified using the Surveillance, Epidemiology and End Results database. Descriptive statistics regarding tumor and treatment characteristics were calculated. Chi‐square tests determined associations between tumor location and features. Survival analyses included Kaplan‐Meier functions and Cox proportional hazard ratios (HR). Results Of 113 patients included, median age was 54 years and 77.0% were female. Frequent tumor sites included soft tissues (36.3%), ovary/testis (16.8%), and skin (11.5%). Median tumor size was 4.0 cm. Metastases to regional lymph nodes (12.5%) and distant sites (11.4%) occurred. Treatments included surgery (85.0%), radiotherapy (12.4%) and chemotherapy (8.9%). Overall five and 10‐year cause‐specific survival was 74.3% and 65.2%, respectively. Survival was worse for patients with tumors >5 cm compared to those with tumors ≤5 cm (HR = 34.03; 95% confidence interval [CI]: 2.57‐450.17), and patients with metastasis (HR = 15.25; 95% CI: 1.19‐195.72) compared with those without metastasis. Patients who underwent surgery had superior survival than those who did not (HR = 0.13; 95% CI: 0.05‐0.34). Conclusions Particular tumor features and treatments are associated with superior survival. This information may be used to more accurately estimate prognosis.