Faber Cheng (canvaschime46)

Gastric cancer (GC) is mostly diagnosed at advanced stage, so prognosis is poor. Therefore, it is necessary to understand the molecular mechanism of GC development to design new targeted treatment to improve the prognosis of gastric cancer patients. To assess the prognostic value of NEDD-9 and FOXL-1 expression in intestinal type gastric cancer patients, as well as their relationship to clinicopathologic features of the disease and patients outcome. This is a retrospective study; we included 50 sections from formalin-fixed, paraffin-embedded tissue samples which included intestinal type GC and adjacent non-neoplastic gastric mucosa in the same block that were subjected to immunohistochemistry with anti-NEDD-9 and anti-FOXL-1 antibody. Patients were retrospectively followed up for about 5years for assessment of tumor progression and survival in relation to marker expression. High NEDD-9 and low FOXL-1 expression were found in intestinal type GC more than adjacent non-neoplastic mucosa (p < 0.001). NEDD-9 high expression and FOXL-1 low expression were associated with presence of helicobacter pylori gastritis (p = 0.010, 0.049), high grade (p = 0.007, 0.004), high stage (p < 0.001), presence of distant metastases (p = 0.029, 0.021), poor DFS (p = 0.003), and OS rates (< 0.001). NEDD-9 overexpression and FOXL-1 deficiency in intestinal type GC can help in prediction of tumor prognosis and it can guide the selection of patients for future therapies in gastric carcinoma. NEDD-9 overexpression and FOXL-1 deficiency in intestinal type GC can help in prediction of tumor prognosis and it can guide the selection of patients for future therapies in gastric carcinoma. We evaluated the response of the retinal pigment epithelium (RPE) to high-density (HD) or low-density (LD)-selective retina therapy (SRT) with real-time feedback-controlled dosimetry (RFD) in rabbits. Sixteen eyes of 8 Chinchilla Bastard rabbits underwent SRT with RFD (527-nm wavelength, 1.7-μs pulse duration), using automatically titrated pulse energy, by using optoacoustic dosimetry or real-time reflectometry. Fifty-six 25-μJ SRT, including LD-SRT (1-spot or 2-spot-spacing) and HD-SRT (4-spot, 7-spot, or 9-spot-no-spacing), were applied per eye. Color fundus photography and fundus fluorescein angiography (FFA) were used to confirm SRT spots 1-h post-SRT. Light microscopy and scanning electron microscopy (SEM) were performed at 2-h, 3-day, 7-day, and 1-month post-treatment. We tested 896 spots irradiated by SRT with RFD and confirmed that SRT lesions were adequate, based on invisibility on fundoscopy and visibility on FFA. On SEM, at 2-h post-SRT, flattened RPE cells were observed in the center of the SRT lesion. While normal RPE cells were clearly observed between LD-SRT lesions, healthy RPE cells were rare in HD-SRT lesions at 2-h post-treatment. At 7-day post-SRT, SEM revealed completely restored LD-SRT lesions with small or large RPE cells with microvilli, whereas HD-SRT lesions were covered with RPE cells without microvilli. At 1-month post-SRT, SEM revealed restored RPE cells with microvilli in HD-SRT lesions. On light microscopy, both HD- and LD-SRT lesions were completely restored with adjacent RPE cells and spared photoreceptors at 1-month post-treatment. Although both HD- and LD-SRT lesions had recovered at 1-month post-SRT, LD-SRT lesions healed faster than HD-SRT lesions. Although both HD- and LD-SRT lesions had recovered at 1-month post-SRT, LD-SRT lesions healed faster than HD-SRT lesions. This study aimed to investigate the deep learning model (DLM) combining computed tomography (CT) images and clinicopathological information for predicting anaplastic lymphoma kinase (ALK) fusion status in non-small cell lung cancer (NSCLC) patients. Preoperative CT images, clinicopathological information as well as the ALK fusion status from 937 pat