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Background: Throughout the course of non-small cell lung cancer (NSCLC), a lot of patients would develop brain metastasis (BM) associated with the poor prognosis and high rate of mortality. However, there have been few models to predict early death (ED) from NSCLC patients with BM. We aimed to develop nomograms to predict ED in NSCLC patients with BM. Methods: The NSCLC patients with BM between 2010 and 2015 were selected from the Surveillance, Epidemiology, and End Result (SEER) database. Our inclusion criteria were as follows: (I) patients were pathologically diagnosed as NSCLC; (II) patients who suffered from BM. The patients were randomly divided into 2 cohorts at the ratio of 7:3, for training and validation cohorts, respectively. The univariate and multivariate logistic regression methods were managed to identify risk factors for ED in NSCLC patients with BM. Two nomograms were established and validated by calibration curves, receiver operating characteristic (ROC) curves, and decision curve analysis (DCA). The follow-up data included survival months, causes of death, vital status. Death that occurred within 3 months of initial diagnosis is defined as ED and the endpoints were all-cause ED and cancer-specific ED. Results: A total of 4,920 NSCLC patients with BM were included and randomly divided into 2 cohorts (7:3), including the training (n=3,444) and validation (n=1,476) cohorts. The independent prognostic factors for all-cause ED and cancer-specific ED included age, sex, race, tumor size, histology, T stage, N stage, grade, surgical operation, radiotherapy, chemotherapy, bone metastasis, and liver metastasis. All these variables were used to establish the nomograms. In the nomograms of all-cause and cancer-specific ED, the areas under the ROC curves were 0.813 (95% CI: 0.799-0.837) and 0.808 (95% CI: 0.791-0.830) for the training dataset as well as 0.835 (95% CI: 0.805-0.862) and 0.824 (95% CI: 0.790-0.849) for the validation dataset, respectively. Besides, the calibration curves proved that the predicted ED was consistent with the actual value. DCA suggested a good clinical application. Conclusions: The nomograms can be used to predict the specific probability of a patient's death, which aids in treatment decisions and focused care, as well as in physician-patient communication.
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OBJECTIVE: Epithelial-myoepithelial carcinoma (EMC) is a rare neoplasm of the salivary glands. In this study, we aim to examine the demographic, clinicopathologic, and survival features of EMC using a population-based approach. STUDY DESIGN AND SETTING: Retrospective cohort study. SUBJECTS AND METHODS: The Surveillance, Epidemiology, and End Result (SEER) database (1973-2010) was queried for EMC of the major salivary glands. Data were analyzed with respect to various demographic and clinicopathologic factors. Survival was analyzed using the Kaplan-Meier and Cox proportional hazards models. RESULTS: In total, 246 cases were available for frequency analysis and 207 for survival analysis. Mean ± SD age at diagnosis was 63.8 ± 15.4 years. EMC affected females more frequently (57.3%). Distant metastases were present at diagnosis in only 4.5% of cases. Overall disease-specific survival (DSS) at 60, 120, and 180 months was 91.3%, 90.2%, and 80.7%, respectively. Patients with low-grade histology had significantly better survival at 180 months relative to those with high-grade tumors (90.6% vs 0.0%, P = .0246). When stratified by tumor size, patients with lesions >4 cm had the worst survival at 180 months (58.8%, P = .0003). All but 9 of the 207 cases available for survival analysis underwent surgery. A total of 85 patients (41.1%) received radiotherapy in addition to surgery. No survival benefit was noted for patients who received radiotherapy compared with those who did not (P = .4832). CONCLUSION: This report represents the largest series of EMC to date. Despite being regarded as a low-grade, indolent tumor, a significant fraction of our cohort underwent radiotherapy in addition to surgery, with no apparent added survival benefit.
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Mioepitelioma , Neoplasias de las Glándulas Salivales , Demografía , Femenino , Humanos , Masculino , Persona de Mediana Edad , Mioepitelioma/epidemiología , Mioepitelioma/mortalidad , Mioepitelioma/patología , Mioepitelioma/terapia , Metástasis de la Neoplasia , Estudios Retrospectivos , Neoplasias de las Glándulas Salivales/epidemiología , Neoplasias de las Glándulas Salivales/mortalidad , Neoplasias de las Glándulas Salivales/patología , Neoplasias de las Glándulas Salivales/terapiaRESUMEN
BACKGROUND: The purpose of this work was to study the demographics and survival of patients diagnosed with sinonasal adenocarcinoma (SNAC) within the time period of 1973 to 2009 using the Surveillance, Epidemiology, and End Result (SEER) database. METHODS: A retrospective cohort study using the U.S. National Cancer Institute's SEER registry was performed to study the demographics and survival for SNAC from 1973 to 2009. Analysis was conducted based on race, gender, and stage. RESULTS: In total, 1270 cases of SNAC were analyzed for demographics and survival. Males accounted for 51.6% of cases, while females accounted for 48.4% of cases, amounting to a male to female ratio of 1.06:1.00. Disease specific survival at 5, 10, 15, and 20 years was 65.2%, 50.9%, 40.9%, and 36.5%, respectively. When analyzed by gender, females had higher survival than males, although this difference was not statistically significant. When analyzed by race, the category of other, which encompasses American Indian, Asian, Hispanic, and unknown or unspecified race, was shown to have the best survival, followed by whites and blacks, respectively. CONCLUSION: SNAC is a rare tumor classically associated with occupational exposure and carries a variable prognosis. This is the first dedicated large-scale, retrospective analysis of a North American SNAC population. SNAC appears to affect both males and females equally and predominantly affects whites. Patients categorized as other had significantly better survival outcomes, while gender appeared to have no significant effect on survival.