Oncotarget · 2016
p70S6K promotes IL-6-induced epithelial-mesenchymal transition and metastasis of head and neck squamous cell carcinoma.
СтатьяНазвание и аннотация: Перевод пока не подготовлен
Обработка статьи · этапы, ошибки и управление
Загрузка состояния…
Ошибки и ограничения
История · было → стало
Состояние обновляется каждые 5 секунд, пока блок открыт. Процент показывается только там, где известен объём работы. Пауза останавливает продолжение этапа; текущий запрос к источнику может завершиться.
Weng Qinjie, Zhou Qiongxiu, Tong Jun, Jin Yuanmeng, Liu Yunzi, Yu Xialian, Pan Xiaoxia, Ren Hong, Wang Weiming, Xie Jingyuan, Chen Nan
Аннотация
BACKGROUND: Glucocorticosteroid is used for patients with primary nephrotic syndrome. This study aims to identify and validate that biomarkers can be used to predict steroid resistance.
METHODS: Our study contained two stages, discovery and validation stage. In discovery stage, we enrolled 51 minimal change disease (MCD) or focal segmental glomerulosclerosis (FSGS) patients treated with full dose steroid. Five urinary biomarkers including β2-microglobulin (β2-MG) and α1-microglobulin (α1-MG) were tested and candidates' biomarkers were selected based on their associations with steroid response. In validation stage, candidates' biomarkers were validated in two prospectively enrolled cohorts. Validation cohort A included 157 FSGS/MCD patients. Validation cohort B included 59 membranous nephropathy (MN) patients. Patients were classified into response group (RG) or non-response group (NRG) based on their responses to steroid treatment.
RESULTS: In discovery stage, higher urinary β2-MG was independently associated with response to corticosteroid treatment in MCD/FSGS patients [OR = 1.89, 95% CI 1.02-3.53] after adjusted by age and gender. In validation cohort A, patients in NRG had a significant higher urinary β2-MG [Ln (β2-MG/uCr): 4.6 ± 1.7 vs 3.2 ± 1.5] compared to patients in RG. We then developed a 3-variable risk score in predicting steroid resistance in FSGS/MCD patients based on the best predictive model including Ln(β2-MG/uCr) [OR = 1.76, 95% CI 1.30-2.37], age [OR = 1.005, 95% CI 0.98-1.03] and pathology [MCD vs FSGS, OR = 0.20, 95% CI 0.09-0.46]. The area under the ROC curves of the risk score in predicting steroid response was 0.80 (95% CI 0.65-0.85). However, no such association was found in MN patients.
CONCLUSIONS: Our study identified a 3-variable risk score in predicting steroid resistance in patients with FSGS or MCD.
METHODS: Our study contained two stages, discovery and validation stage. In discovery stage, we enrolled 51 minimal change disease (MCD) or focal segmental glomerulosclerosis (FSGS) patients treated with full dose steroid. Five urinary biomarkers including β2-microglobulin (β2-MG) and α1-microglobulin (α1-MG) were tested and candidates' biomarkers were selected based on their associations with steroid response. In validation stage, candidates' biomarkers were validated in two prospectively enrolled cohorts. Validation cohort A included 157 FSGS/MCD patients. Validation cohort B included 59 membranous nephropathy (MN) patients. Patients were classified into response group (RG) or non-response group (NRG) based on their responses to steroid treatment.
RESULTS: In discovery stage, higher urinary β2-MG was independently associated with response to corticosteroid treatment in MCD/FSGS patients [OR = 1.89, 95% CI 1.02-3.53] after adjusted by age and gender. In validation cohort A, patients in NRG had a significant higher urinary β2-MG [Ln (β2-MG/uCr): 4.6 ± 1.7 vs 3.2 ± 1.5] compared to patients in RG. We then developed a 3-variable risk score in predicting steroid resistance in FSGS/MCD patients based on the best predictive model including Ln(β2-MG/uCr) [OR = 1.76, 95% CI 1.30-2.37], age [OR = 1.005, 95% CI 0.98-1.03] and pathology [MCD vs FSGS, OR = 0.20, 95% CI 0.09-0.46]. The area under the ROC curves of the risk score in predicting steroid response was 0.80 (95% CI 0.65-0.85). However, no such association was found in MN patients.
CONCLUSIONS: Our study identified a 3-variable risk score in predicting steroid resistance in patients with FSGS or MCD.
Предметные рубрики MeSH
Carcinoma, Squamous CellCell Line, TumorCell MovementEpithelial-Mesenchymal TransitionGene Expression Regulation, NeoplasticHead and Neck NeoplasmsHumansInterleukin-6Mitogen-Activated Protein KinasesNeoplasm MetastasisPhosphatidylinositol 3-KinasesProto-Oncogene Proteins c-aktRNA InterferenceRibosomal Protein S6 Kinases, 70-kDaSignal TransductionTOR Serine-Threonine Kinases