Probe-Type Multi-Core Fiber Optic Sensor for Simultaneous Measurement of Seawater Salinity, Pressure, and Temperature.

In this article, we propose and demonstrate a probe-type multi-core fiber (MCF) sensor for the multi-parameter measurement of seawater. The sensor comprises an MCF and two capillary optical fibers (COFs) with distinct inner diameters, in which a 45° symmetric core reflection (SCR) structure and a step-like inner diameter capillary (SIDC) structure filled with polydimethylsiloxane (PDMS) are fabricated at the fiber end. The sensor is equipped with three channels for different measurements. The surface plasmon resonance (SPR) channel (CHSPR) based on the side-polished MCF is utilized for salinity measurement. The fiber end air cavity, forming the Fabry-Pérot interference (FPI) channel (CHFPI), is utilized for pressure and temperature measurement. Additionally, the fiber Bragg grating (FBG) channel (CHFBG), which is inscribed in the central core, serves as temperature compensation for the measurement results. By combining three sensing principles with space division multiplexing (SDM) technology, the sensor overcomes the common challenges faced by multi-parameter sensors, such as channel crosstalk and signal demodulation difficulties. The experimental results indicate that the sensor has sensitivities of 0.36 nm/‱, -10.62 nm/MPa, and -0.19 nm/°C for salinity, pressure, and temperature, respectively. As a highly integrated and easily demodulated probe-type optical fiber sensor, it can serve as a valuable reference for the development of multi-parameter fiber optic sensors.

Resolution-improved SPR sensor with a rotational modulation method.

A resolution-improved prism coupler-based surface plasmon resonance (SPR) sensor with a simple, effective rotational modulation method is proposed in this paper. For a conventional SPR sensor, the way to improve its measurement resolution is usually to use the rotating device with higher resolution. Measurement resolution depends on the modulation resolution of the incident angle; therefore, we propose a rotational modulation method that is implemented by rotating the prism horizontally to improve the modulation resolution of the incident angle, instead of using a more expensive rotating device with higher resolution. This scheme is validated both theoretically and experimentally. Furthermore, theoretical simulations show that the rotational modulation method can also be applied to long-range surface plasmon resonance sensors for better results.

Identification and Validation of a Novel Six-Gene Expression Signature for Predicting Hepatocellular Carcinoma Prognosis.

Background: Hepatocellular carcinoma (HCC) is a highly lethal disease. Effective prognostic tools to guide clinical decision-making for HCC patients are lacking. Objective: We aimed to establish a robust prognostic model based on differentially expressed genes (DEGs) in HCC. Methods: Using datasets from The Cancer Genome Atlas (TCGA), the Gene Expression Omnibus (GEO), and the International Genome Consortium (ICGC), DEGs between HCC tissues and adjacent normal tissues were identified. Using TCGA dataset as the training cohort, we applied the least absolute shrinkage and selection operator (LASSO) algorithm and multivariate Cox regression analyses to identify a multi-gene expression signature. Proportional hazard assumptions and multicollinearity among covariates were evaluated while building the model. The ICGC cohort was used for validation. The Pearson test was used to evaluate the correlation between tumor mutational burden and risk score. Through single-sample gene set enrichment analysis, we investigated the role of signature genes in the HCC microenvironment. Results: A total of 274 DEGs were identified, and a six-DEG prognostic model was developed. Patients were stratified into low- or high-risk groups based on risk scoring by the model. Kaplan-Meier analysis revealed significant differences in overall survival and progression-free interval. Through univariate and multivariate Cox analyses, the model proved to be an independent prognostic factor compared to other clinic-pathological parameters. Time-dependent receiver operating characteristic curve analysis revealed satisfactory prediction of overall survival, but not progression-free interval. Functional enrichment analysis showed that cancer-related pathways were enriched, while immune infiltration analyses differed between the two risk groups. The risk score did not correlate with levels of PD-1, PD-L1, CTLA4, or tumor mutational burden. Conclusions: We propose a six-gene expression signature that could help to determine HCC patient prognosis. These genes may serve as biomarkers in HCC and support personalized disease management.

Evaluation of the value of GATA3 combined with E-cadherin in the diagnosis of breast cancer.

PURPOSE: To analyze the clinical value of GATA-3 combined with E-cadherin in the diagnosis of breast cancer. METHODS: 120 patients with breast cancer treated in Affiliated Tumor Hospital of Guangxi Medical University for the first time (experimental group) from May 2014 to December 2016 and 80 healthy females (control group) were retrospectively analyzed. The expression levels of GATA3 and E-cadherin in the experimental group and the control group were detected by enzyme-linked immunosorbent assay (ELISA). Binary logistic regression analysis was used to evaluate the combined detection of GATA3 and E-cadherin, and the value of GATA3 and E-cadherin single diagnosis and their combined diagnosis in patients with breast cancers was compared. RESULTS: The expression levels of GATA3 and E-cadherin in breast cancer patients were correlated with clinical stage, human epidermal growth factor receptor 2 (HER-2), estrogen (ER) and progesterone receptor (PR) (p<0.05). The expression level of GATA3 in the experimental group was significantly higher than that in the control group (p<0.01), and the expression level of E-cadherin in the experimental group was significantly lower than that in the control group (p<0.01). GATA3 was highly expressed in breast cancer patients before surgery and decreased significantly after surgery (p<0.01). E-cadherin was lowly expressed in breast cancer patients before surgery and increased significantly after surgery (p<0.01). CONCLUSION: Combined detection of GATA3 and E-cadherin is of great significance in the diagnosis and treatment of breast cancer, and it is expected to become an effective indicator for the diagnosis of breast cancer in the future.

The Expression Level of BRCA2 and Its Changes during Chemotherapy in Patients with Different Pathological Types of Mammary Cancer.

BACKGROUND: We aimed to investigate the expression level of breast cancer susceptibility gene 2 (BRCA2) and its changes during chemotherapy in patients with different pathological types of mammary cancer (MC). METHODS: Overall, 102 patients treated in Affiliated Tumor Hospital of Guangxi Medical University, China from April 2013 to August 2017 were enrolled as experimental group, including 58 patients with noninvasive MC (group A) and 44 with invasive MC (group B). Fifty healthy volunteers at the same time were enrolled as control group. The relative expression of BRCA2 in the blood of MC patients was detected by real-time fluorescence quantitative PCR (FQ-PCR). RESULTS: In the experimental group, the expression level of BRCA2 in group A was higher than that in group B before chemotherapy (P<0.001); the expression level in group A and group B 1 month after chemotherapy was higher than that before chemotherapy (P<0.001); the expression level in the both groups 3 months after chemotherapy was higher than that 1 month after chemotherapy (P<0.001); the expression level of BRCA2 in blood of group A increased gradually before, 1 month and 3 months after chemotherapy (P<0.001). The expression level of BRCA2 in blood of group B increased gradually at the same time points (P<0.001). CONCLUSION: BRCA2 is over-expressed in noninvasive MC patient and under-expressed in invasive MC patient. And it can be used as an index for monitoring the condition of MC patients with different pathological types during chemotherapy.