Prognostic value and immunological characteristics of a novel autophagy-related signature in pancreatic cancer.

Autophagy affects the development, progression, and prognosis of various cancers including pancreatic cancer. To develop an autophagy-related prognostic model of pancreatic cancer, we systematically analyzed gene expression profile from The Cancer Genome Atlas and Genotype-Tissue Expression. Ten autophagy-relevant genes with potential prognostic values were identified, based on which a prognostic model was constructed. We divided patients into a high- and a low-risk group with this model. Time-dependent receiver operating characteristic and Kaplan-Meier curves were conducted to evaluate the accuracy of the model. The Area Under Curvevalues of this model at 12, 18, and 24 months were 0.76, 0.73, and 0.78, respectively. The model was further validated in two Gene Expression Omnibus datasets. Gene set enrichment analysis and Cibersort were applied to analyze immune infiltration patterns and immune checkpoint blockade (ICB) molecules. The expression of ICB molecules, such as PD-L1 and PD1, presented significant correlation with the risk score. In conclusion, the risk score model established herein has been proved to be robust for evaluating the prognosis of pancreatic cancer and facilitate to improve the efficacy of ICB.

MiR-320c prevents the malignant development of cervical cancer by regulating GABRP level.

OBJECTIVE: This study aims to explore the role of microRNA-320c (miR-320c) in regulating biological behaviors of cervical cancer and the potential mechanism, thus providing experimental references for developing therapeutic target of cervical cancer. PATIENTS AND METHODS: Differential expressions of miR-320c in cervical cancer samples and normal cervical tissues were determined. Potential association between miR-320c level and clinical characteristics of cervical cancer patients was analyzed. After overexpression of miR-320c, migratory potential changes in HeLa, and C33-A cells were examined. At last, target gene binding to miR-320c was predicted online and its involvement in the malignant development of cervical cancer was finally explored. RESULTS: It was found that miR-320c was lowly expressed in cervical cancer tissues. Compared with cervical cancer patients with high expression of miR-320c, those with low expression had higher rates of lymphatic metastasis and distant metastasis. Besides, the overexpression of miR-320c markedly inhibited migratory potential in HeLa and C33-A cells. GABRP was verified to be the target gene binding to miR-320c. Notably, GABRP was able to reverse the role of miR-320c in regulating migratory potential in cervical cancer. CONCLUSIONS: MiR-320c is capable of inhibiting migratory potential in cervical cancer by targeting GABRP, which may be utilized as a therapeutic target of cervical cancer.

Training probabilistic VLSI models on-chip to recognise biomedical signals under hardware nonidealities.

VLSI implementation of probabilistic models is attractive for many biomedical applications. However, hardware non-idealities can prevent probabilistic VLSI models from modelling data optimally through on-chip learning. This paper investigates the maximum computational errors that a probabilistic VLSI model can tolerate when modelling real biomedical data. VLSI circuits capable of achieving the required precision are also proposed.

Pore-to-pore hopping model for the interpretation of the pulsed gradient spin echo attenuation of water diffusion in cell suspension systems.

A simplified pore-to-pore hopping model for the two-phase diffusion problem is developed for the analysis of the pulsed gradient spin echo (PGSE) attenuation of water diffusion in the condensed cell suspension systems. In this model, the two phases inside and outside the cells are treated as two different kinds of pores, and the spin-bearing molecules perform hopping diffusion between them. The size and the orientations of those two respective pores are considered, and then the diffraction pattern of the PGSE attenuation may be well simulated. Nevertheless, the intensity of the characteristic peak decreases with increasing membrane permeability, from which the exchange time may be estimated. We then analyze the experimental 1H PGSE results of the erythrocytes suspension system. The water-residence lifetime in the erythrocyte is obtained to be 10 ms, which is the same as that estimated from the two-region approximation. Furthermore, the PGSE attenuation curve of addition of p-Chloromercuribenzenesulfonate (p-CMBS) is also discussed. It predicts that the alignment of erythrocytes will become normal to the magnetic field direction after the addition of p-CMBS, and inspection using a light microscope confirms that result.