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Background: Tumor-size-stratified analysis on the prognosis of uterine sarcoma is insufficient. This study aimed to establish the tumor-size-stratified nomograms to predict the 3- and 5-year overall survival (OS) of patients with uterine sarcoma., Methods: The data analyzed in this study were obtained from the Surveillance, Epidemiology, and End Results (SEER) database. We collected data from patients with uterine sarcoma diagnosed between 2004 and 2015. According to the median tumor size of 7.8 cm, the enrolled patients were divided into two tumor size (TS) groups: TS <7.8 cm and TS ≥7.8 cm. Patients in each group were randomly divided into the training and validation cohorts with a ratio of 7:3. Chi-square test was used to compare differences between categorical variables. Multivariate Cox regression models were used to identify significant predictors. We calculated the concordance index (C-index) and the area under the receiver operating characteristics curve (AUC) to validate the nomograms., Results: Compared with TS <7.8 cm group, TS ≥7.8 cm group had more patients of 45-64 years group, higher black race prevalence, higher proportion of myometrium tumor, higher stage, and higher grade; In the TS <7.8 cm training cohort, six variables (age, race, marital status, tumor primary site, stage, and grade) were identified as significantly associated with OS in multivariate analysis. However in the TS ≥7.8 cm training cohort, only four variables (surgery on primary site, tumor size, stage, and grade) were significantly identified; The C-index of two nomograms were 0.80 and 0.73 in training cohorts, respectively, and the AUC values for 3- and 5-year OS predictions in training cohorts were all above 0.80. Similar results were observed in validation cohorts., Conclusions: This study found that the significant prognostic factors were different between two tumor size groups of uterine sarcoma patients. The tumor-size-stratified nomograms, which we constructed and validated, might be useful to predict the probability of survival for patients with uterine sarcoma., (© 2022 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Background: The improvement of diagnostic and therapeutic techniques has prolonged the survival time of patients with esophageal cancer. Little is known, however, about their health-related quality of life (HRQoL) in daily life after treatment., Methods: Esophageal cancer patients who had been discharged from hospitals more than one year and healthy controls identified by screening were recruited from seven study centers covering eastern, central, and western regions of China. Patients were categorized into severe dysplasia/carcinoma in situ and stages I, II, III, and IV cancer, respectively. The EQ-5D was employed to assess HRQoL. Multivariate regression analyses were conducted., Results: A total of 1456 patients and 2179 controls were recruited. After adjusting for potential confounding factors, the likelihood of reporting problems in the five dimensions of patients was 3.8 to 23.1 times higher than controls, whilst the mean EQ-5D utility score was 0.311 (95% CI, 0.276-0.346) lower than controls. The mean utility scores of each patient subgroup were 0.158, 0.289, 0.303, 0.296, and 0.505 (95% CIs: 0.108-0.208, 0.243-0.336, 0.261-0.346, 0.244-0.347, and 0.437-0.573) lower than controls, respectively. Patients had the greatest impairment in the self-care dimension compared with controls, followed by the usual activities dimension. Therapeutic regimen, duration of illness, other chronic disease status, age, and marital status also had significant impact on different aspects of HRQoL in patients., Conclusions: Esophageal cancer significantly impaired patients' HRQoL in daily life after treatment. Advanced cancer stages were associated with larger decrements on health state utility. Utility scores reported here can facilitate further cost-utility analyses., (© 2018 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

There is inconsistent evidence of associations between socioeconomic status (SES) and lung cancer stage in non-Chinese populations up to now. We set out to determine how SES affects stage at diagnosis at both individual and area levels, from a hospital-based multicenter 10-year (2005-2014) retrospective clinical epidemiological study of 7184 primary lung cancer patients in mainland China. Individual-level SES data were measured based on two indicators from case report forms of the study: an individual's education and occupation. Seven census indicator variables were used as surrogates for the area-level SES with principal component analysis (PCA). Multivariate analysis was undertaken using binary logistic regressions and multinomial logit model to describe the association and explore the effect across tertiles on stage after adjusting for demographic variables. There was a significant stepwise gradient of effect across different stages in the highest tertile of area-level SES, comparing with the lowest tertile of area-level SES (ORs, 0.77, 0.67, and 0.29 for stage II, III, and IV). Patients with higher education were less likely to have stage IV lung cancer, comparing with the illiterate group (ORs, 0.52, 0.63, 0.71, 0.64 for primary school, middle school, high school, college degree or above subgroup, respectively). Findings suggest that the most socioeconomically deprived areas may be associated with a higher risk of advanced-stage lung cancer, and increasing educational level may be correlated with a lower risk to be diagnosed at advanced stage in both men and women., (© 2017 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)