Background: There have been no studies on predicting human epidermal growth factor receptor 2 (HER2) status in patients with resectable gastric cancer (GC) in the neoadjuvant and perioperative settings. We aimed to investigate the use of preoperative contrast-enhanced computed tomography (CECT) imaging features combined with clinical characteristics for predicting HER2 expression in GC. Methods: We retrospectively enrolled 301 patients with GC who underwent curative resection and preoperative CECT. HER2 status was confirmed by postoperative immunohistochemical analysis with or without fluorescence in situ hybridization. A prediction model was developed using CECT imaging features and clinical characteristics that were independently associated with HER2 status using multivariate logistic regression analysis. Receiver operating characteristic curves were constructed and the performance of the prediction model was evaluated. The bootstrap method was used for internal validation. Results: Three CECT imaging features and one serum tumor marker were independently associated with HER2 status in GC: enhancement ratio in the arterial phase (odds ratio [OR] = 4.535; 95% confidence interval [CI], 2.220-9.264), intratumoral necrosis (OR = 2.64; 95% CI, 1.180-5.258), tumor margin (OR = 3.773; 95% CI, 1.968-7.235), and cancer antigen 125 (CA125) level (OR = 5.551; 95% CI, 1.361-22.651). A prediction model derived from these variables showed an area under the receiver operating characteristic curve of 0.802 (95% CI, 0.740-0.864) for predicting HER2 status in GC. The established model was stable, and the parameters were accurately estimated. Conclusions: Enhancement ratio in the arterial phase, intratumoral necrosis, tumor margin, and CA125 levels were independently associated with HER2 status in GC. The prediction model derived from these factors may be used preoperatively to estimate HER2 status in GC and guide clinical treatment.
Myocardial infarction (MI) is lethal to patients because of acute ischemia and hypoxia leading to cardiac tissue apoptosis. Autophagy played a key role in MI through affecting the survival of cardiomyocytes. LncRNA-MHRT (myosin heavy-chain-associated RNA transcripts) was specific to the heart and cardiomyocytes, and inhibition of lncRNA-MHRT transcription under pathological stimuli could cause cardiac hypertrophy and even heart failure (HF). Sonodynamic therapy (SDT) is a new and developing medical technique that utilizes low-intensity ultrasound to locally activate a preloaded sonosensitizer. Our group previously reported that SDT could regulate autophagy. In this study, we investigated whether SDT could reduce MI-induced cardiomyocyte apoptosis via activating autophagy pathway. SDT improved cardiac function and suppresses MI-induced cardiomyocyte apoptosis. SDT alleviated MI-induced cardiomyocyte apoptosis by improving autophagy. MHRT mediated the inhibiting effect of SDT on cardiomyocyte apoptosis via activating autophagy pathway. Our data reveal a novel effect that SDT protects against MI and confirm that SDT reduces MI-induced cardiomyocyte apoptosis via activating MHRT-mediated-autophagy. Thus, our findings also indicate that SDT may be used as a potential method for treatment of post-myocardial infarction heart failure.
Heart Failure , Myocardial Infarction , RNA, Long Noncoding , Humans , Myocytes, Cardiac/metabolism , Reactive Oxygen Species/metabolism , RNA, Long Noncoding/metabolism , Myocardial Infarction/metabolism , Heart Failure/pathology , Autophagy , Apoptosis
Lung cancer is a highly prevalent type of cancer, accounting for 11.6% of all cancer incidences. Early detection and treatment can significantly improve the survival rate and quality of life of patients; however, there is no accurate, effective, and easy-to-use test for early lung cancer screening. In this study, flow cytometry was used to detect the presence of CD45+EpCAM+ cells in tumor tissues and peripheral blood mononuclear cells (PBMCs) in patients with lung cancer. Moreover, the proportion of CD45+EpCAM+ cells in PBMCs of patients with lung cancer was found to be significantly higher than that of healthy volunteers. Tumor-related serum markers level was also measured in the peripheral blood of these patients using an electrochemiluminescence assay. The correlation between CD45+EpCAM+ cells, carcinoembryonic antigen (CEA), and lung cancer was investigated using receiver operating characteristic (ROC) curve analysis, which showed the sensitivity and specificity of the CD45+EpCAM+ cell to be 81.58% and 88.89%, respectively. Further analysis yielded an area under the ROC curve (ROC/area under the curve [AUC]) of 0.845 in patients PBMCs with lung cancer, which was slightly higher than that of CEA (0.732). Therefore, the detection of CD45+EpCAM+ cells in PBMCs may be helpful for the early screening and auxiliary diagnosis of lung cancer.
It was found that face classification by race is more quickly for other-race than own-race faces (other-race classification advantage, ORCA). Controlling the spatial frequencies of face images, the current study investigated the perceptual processing differences based on spatial frequencies between own-race and other-race faces that might account for the ORCA. Regardless of the races of the observers, the own-race faces were classified faster and more accurately for broad-band faces than for both lower and higher spatial frequency (SF) faces, whereas, although other-race faces were classified less accurately for higher SF than for either broad-band or lower SF faces, there was no difference between broad-band and lower SF conditions of other-race faces. Although it was not evident for higher SF condition, the ORCA was more evident for lower SF than that for broad-band faces. The present data indicate that global/configural information is needed for subordinate race categorization of faces and that an important source of ORCA is application of global/configural computations by default while categorizing an own-race face but not while categorizing an other-race face.
