BCAN基因在肾透明细胞癌中的表达及临床意义

目的以基因表达数据集资料为研究对象,分析BCAN基因在肾透明细胞癌中的表达情况以及对患者预后的影响。方法在Oncomine数据库中挖掘BCAN在肾透明细胞癌(ccRCC)中的表达情况。从TCGA数据库中获取ccRCC患者临床资料和目的基因的表达信息并进行统计分析。利用GEO数据库中GSE73731数据集的ccRCC样本进行基因富集分析。利用String数据库分析与BCAN相关的蛋白。结果BCAN低表达组的ccRCC患者在病理分期及T分期方面低于高表达组(P<0.001;P=0.001);N分期及M分期差异无统计学意义(P>0.05)。BCAN低表达组患者的总生存期优于高表达组(P=0.033)。BCAN基因高表达组的样本主要富集在KRAS信号通路。结论BCAN可以通过多种途径来促进肿瘤细胞的侵袭能力,有望成为ccRCC不良预后的重要生物标志物之一。     

Deep learning with biopsy whole slide images for pretreatment prediction of pathological complete response to neoadjuvant chemotherapy in breast cancer：A multicenter study

IntroductionPredicting pathological complete response (pCR) for patients receiving neoadjuvant chemotherapy (NAC) is crucial in establishing individualized treatment. Whole-slide images (WSIs) of tumor tissues reflect the histopathologic information of the tumor, which is important for therapeutic response effectiveness. In this study, we aimed to investigate whether predictive information for pCR could be detected from WSIs.Materials and methodsWe retrospectively collected data from four cohorts of 874 patients diagnosed with biopsy-proven breast cancer. A deep learning pathological model (DLPM) was constructed to predict pCR using biopsy WSIs in the primary cohort, and it was then validated in three external cohorts. The DLPM could generate a deep learning pathological score (DLPs) for each patient; stromal tumor-infiltrating lymphocytes (TILs) were selected for comparison with DLPs.ResultsThe WSI feature-based DLPM showed good predictive performance with the highest area under the curve (AUC) of 0.72 among the cohorts. Alternatively, the combination of the DLPM and clinical characteristics offered a better prediction performance (AUC >0.70) in all cohorts. We also evaluated the performance of DLPM in three different breast subtypes with the best prediction for the triple-negative breast cancer (TNBC) subtype (AUC: 0.73). Moreover, DLPM combined with clinical characteristics and stromal TILs achieved the highest AUC in the primary cohort (AUC: 0.82) and validation cohort 1 (AUC: 0.80).ConclusionOur study suggested that WSIs integrated with deep learning could potentially predict pCR to NAC in breast cancer. The predictive performance will be improved by combining clinical characteristics. DLPs from DLPM can provide more information compared to stromal TILs for pCR prediction.     

高糖饮食对小鼠真菌性角膜炎的影响

目的　探究高糖饮食对小鼠真菌性角膜炎的影响。方法　选取健康无眼疾的雄性C57BL/6J小鼠78只，随机分为高糖饮食组和模型对照组，每组36只，模型对照组给予正常饮用水，高糖饮食组给予含体积分数10%果糖溶液，每2 d测量两组小鼠体质量及血糖，10 d后建立真菌性角膜炎模型。造模后24 h、36 h、48 h、72 h、96 h、120 h、168 h裂隙灯显微镜下对角膜进行临床评分并拍照。处死小鼠后，取角膜组织进行HE染色和PAS染色；测定角膜内中性粒细胞和巨噬细胞浸润体积。利用酶联免疫吸附实验对小鼠角膜内的白细胞介素-1β含量进行测定。结果　造模后 0~14 d，两组小鼠体质量与血糖差异均无统计学意义（均为P>0.05）。造模后24 h、36 h、48 h、120 h、168 h，高糖饮食组小鼠角膜临床评分均明显高于模型对照组，差异均有统计学意义（均为P<0.05）。高糖饮食组小鼠角膜穿孔率79.5%，高于模型对照组的40.9%，差异有统计学意义（P=0.000）。造模后各时间点，高糖饮食组中性粒细胞浸润体积均高于模型对照组，差异均有统计学意义（均为P=0.000）。造模后72 h、96 h、120 h、168 h，高糖饮食组巨噬细胞浸润体积均高于模型对照组（均为P=0.000）。角膜组织病理学检查结果示，高糖饮食组炎症反应更重，角膜组织破坏更早且更为严重。造模后24 h、48 h高糖饮食组白细胞介素-1β含量均明显高于模型对照组（均为P<0.05）。结论　高糖饮食加重了真菌性角膜炎感染的严重程度，增强了中性粒细胞、巨噬细胞的趋化，促进了IL-1β的分泌。     

糖尿病黄斑水肿患者病变程度与脉络膜厚度的关系

目的　利用频域光学相干断层扫描深度增强（enhanced depth imaging spectral domain optical coherence tomography，EDI SD-OCT）观察糖尿病黄斑水肿（diabetic macular edema，DME）患者脉络膜厚度（choroidal thickness，CT）的变化及结构特点，探讨DME病变程度与CT的关系。方法　纳入2型糖尿病患者共123例204眼，其中69眼诊断为DME（DME组），135眼无黄斑水肿为对照组。DME眼依据OCT形态学特点进一步分为视网膜弥漫性增厚（diffuse retinal thickness，DRT）型（34眼）、黄斑囊样水肿（cystoid macular edema，CME）型（19眼）和浆液性视网膜脱离（serous retinal detachment，SRD）型（16眼），利用EDI-OCT分别测量黄斑中心凹下CT和以黄斑为中心上、下、鼻、颞500 μm、1000 μm、1500 μm、2000 μm处CT。结果　DME组黄斑中心凹下CT为（326.72±90.15）μm，对照组为（320.17±106.46）μm，两组之间无统计学差异，但黄斑中心凹下CT与视网膜厚度间具有明显正相关关系（r=0.270，P=0.025）。DME亚型CT分别为:DRT型（303.94±81.47）μm、CME型（304.42±73.98）μm和SRD型（401.63±88.80）μm，SRD型CT明显高于其他亚型（P<0.05），此外，SRD型的周边CT同样呈现均匀一致的增厚；鼻侧CT从500 μm至2000 μm呈距离敏感性降低（P<0.05），但SRD型鼻侧CT降低幅度明显变缓（P=0.195）。结论　SRD型黄斑水肿患者CT在中心凹下及周边部均显著增厚，CT与DME病变程度之间有一定相关性。     

Longistylin A,a natural stilbene isolated from the leaves of Cajanus cajan,exhibits significant anti-MRSA activity

Longistylin A (LLA) is an abundant stilbene isolated from the leaves of Cajanus cajan (L.) Millsp. However, the antibacterial effect of LLA is not yet understood. Therefore, in this study, a detailed investigation of the antibacterial effect of LLA, particularly against methicillin-resistant Staphylococcus aureus (MRSA), was conducted. In vitro, LLA exhibited strong antibacterial activity against MRSA with a minimum inhibitory concentration (MIC) of 1.56 µg/mL and displayed much more rapid bactericidal activity (3-log decrease in MRSA survival within 8 h) than vancomycin. A membrane-targeting experiment suggested that the antibacterial activity of LLA is associated with perturbation of the bacterial membrane potential and increased membrane permeability. Notably, LLA had relatively weak cytotoxicity to murine macrophages [50% cytotoxic concentration (CC₅₀) = 8.61 ± 0.57 µg/mL]. In vivo, topical treatment of a skin injury with LLA improved wound healing and closure in an MRSA-infected wound healing mouse model. After 3 days treatment, LLA decreased MRSA bacterial counts in the wounded region, reduced the accumulation of immune cells at the injury site, and alleviated induction of the inflammatory cytokines tumour necrosis factor-alpha (180.74 ± 10.78 pg/mL vs. 606.57 ± 68.99 pg/mL) and interleukin-6 (87.25 ± 10.19 pg/mL vs. 280.58 ± 42.27 pg/mL) in serum.