A novel model for predicting prognosis and response to immunotherapy in nasopharyngeal carcinoma patients.

Blood-based biomarkers of immune checkpoint inhibitors (ICIs) response in patients with nasopharyngeal carcinoma (NPC) are lacking, so it is necessary to identify biomarkers to select NPC patients who will benefit most or least from ICIs. The absolute values of lymphocyte subpopulations, biochemical indexes, and blood routine tests were determined before ICIs-based treatments in the training cohort (n = 130). Then, the least absolute shrinkage and selection operator (Lasso) Cox regression analysis was developed to construct a prediction model. The performances of the prediction model were compared to TNM stage, treatment, and Epstein-Barr virus (EBV) DNA using the concordance index (C-index). Progression-free survival (PFS) was estimated by Kaplan-Meier (K-M) survival curve. Other 63 patients were used for validation cohort. The novel model composed of histologic subtypes, CD19+ B cells, natural killer (NK) cells, regulatory T cells, red blood cells (RBC), AST/ALT ratio (SLR), apolipoprotein B (Apo B), and lactic dehydrogenase (LDH). The C-index of this model was 0.784 in the training cohort and 0.735 in the validation cohort. K-M survival curve showed patients with high-risk scores had shorter PFS compared to the low-risk groups. For predicting immune therapy responses, the receiver operating characteristic (ROC), decision curve analysis (DCA), net reclassifcation improvement index (NRI) and integrated discrimination improvement index (IDI) of this model showed better predictive ability compared to EBV DNA. In this study, we constructed a novel model for prognostic prediction and immunotherapeutic response prediction in NPC patients, which may provide clinical assistance in selecting those patients who are likely to gain long-lasting clinical benefits to anti-PD-1 therapy.

Combining methylated SDC2 test in stool DNA, fecal immunochemical test, and tumor markers improves early detection of colorectal neoplasms.

Objective: To explore the value of testing methylated SDC2 (SDC2) in stool DNA combined with fecal immunochemical test (FIT) and serum tumor markers (TM) for the early detection of colorectal neoplasms. Methods: A total of 533 patients, including 150 with CRC (67 with early-stage CRC), 23 with APL, 85 with non-advanced adenomas and general polyps, and 275 with benign lesions and healthy controls. SDC2 was detected by methylation-specific PCR, FIT (hemoglobin, Hb and transferrin, TF) was detected by immunoassay, and the relationships between SDC2, FIT, and clinicopathological features were analyzed. Pathological biopsy or colonoscopy were used as gold standards for diagnosis, and the diagnostic efficacy of SDC2 combined with FIT and TM in CRC and APL evaluated using receiver operating characteristic (ROC) curves. Results: SDC2 positive rates in early-stage CRC and APL were 77.6% (38/49) and 41.2% (7/17), respectively, and combination of SDC2 with FIT increased the positive rates to 98.0% (48/49) and 82.4% (14/17). The positive rates of SDC2 combined with FIT assay in the APL and CRC groups at stages 0-IV were 82.4% (14/17), 85.7% (6/7), 100% (16/16), 100% (26/26), 97.4% (38/39), and 100% (22/22), respectively. Compared to the controls, both the CRC and APL groups showed significantly higher positive detection rates of fecal SDC2 and FIT (χ2 = 114.116, P < 0.0001 and χ2 = 85.409, P < 0.0001, respectively). Our results demonstrate a significant difference in the qualitative methods of SDC2 and FIT for the detection of colorectal neoplasms (McNemar test, P < 0.0001). ROC curve analysis revealed that the sensitivities of SDC2 and FIT, alone or in combination, for the detection of early CRC and APL were 69.9%, 86.3%, and 93.9%, respectively (all P<0.0001). When combined with CEA, the sensitivity increased to 97.3% (P<0.0001). Conclusions: SDC2 facilitates colorectal neoplasms screening, and when combined with FIT, it enhances detection. Furthermore, the combination of SDC2 with FIT and CEA maximizes overall colorectal neoplasm detection.

Multiple TMA-aided CRISPR/Cas13a platform for highly sensitive detection of IL-15 to predict immunotherapeutic response in nasopharyngeal carcinoma.

BACKGROUND: Immune checkpoint inhibitors (ICIs)-based treatments have been recommended as the first line for refractory recurrent and/or metastatic nasopharyngeal carcinoma (NPC) patients, yet responses vary, and predictive biomarkers are urgently needed. We selected serum interleukin-15 (sIL-15) out of four interleukins as a candidate biomarker, while most patients' sIL-15 levels were too low to be detected by conventional methods, so it was necessary to construct a highly sensitive method to detect sIL-15 in order to select NPC patients who would benefit most or least from ICIs. METHODS: Combining a primer exchange reaction (PER), transcription-mediated amplification (TMA), and a immuno-PER-TMA-CRISPR/Cas13a system, we developed a novel multiple signal amplification platform with a detection limit of 32 fg/mL, making it 153-fold more sensitive than ELISA. RESULTS: This platform demonstrated high specificity, repeatability, and versatility. When applied to two independent cohorts of 130 NPC sera, the predictive value of sIL-15 was accurate in both cohorts (area under the curve: training, 0.882; validation, 0.898). Additionally, lower sIL-15 levels were correlated with poorer progression-free survival (training, HR: 0.080, p<0.0001; validation, HR: 0.053, p<0.0001). CONCLUSION: This work proposes a simple and sensitive approach for sIL-15 detection to provide insights for personalized immunotherapy of NPC patients.

Significance of Dynamic Changes of VCA-IgA Levels in Pre- and Post-treatment Plasma of Patients with Nasopharyngeal Carcinoma: Development of a Clinically-Oriented Model.

INTRODUCTION: Nasopharyngeal carcinoma (NPC) responds well to radiotherapy but recurrence and metastasis are common. Currently, there is no widely used biomarker for accurately predicting the recurrence and metastasis of NPC. In this study, we aimed to evaluate the prognostic ability of Epstein-Barr virus (EBV) capsid antigen (VCA-IgA) kinetics by assessing the dynamic changes of VCA-IgA levels in the pre- and post-treatment plasma of patients with NPC and have proposed a prognostic model for clinical use. METHODS: The clinical records of patients with NPC diagnosed at Sun Yat-sen University Cancer Center were retrieved and classified into a respondent (n = 83) or non-respondent (n = 25) cohort based on their response to antitumor therapy. Factors associated with the outcomes of the patients were assessed and incorporated in a nomogram. For internal validation, bootstrapping with 1000 resamples was used. The prediction accuracy and discriminative ability of the nomogram were investigated by calibration and concordance index (C-index) and plotted decision curves to assess the benefits of nomogram-assisted decisions in a clinical context. RESULTS: Plasma VCA-IgA level of the non-respondent cohort at the 6th month after treatment was found significantly higher than the respondent cohort. Post-treatment VCA-IgA level, smoking, and distant metastases were identified as independent risk factors for disease-free survival (DFS), and were used to stratify patients with NPC into three risk groups. The median DFS of the low-, middle- and high-risk groups were 48.5, 35.0, and 15.5 months, respectively. The C-index of the nomogram was 0.848 (95% CI 0.769-0.926), demonstrating good clinical accuracy for predicting the DFS of patients with NPC. The decision curve showed that the nomogram in predicting DFS was better than VCA-IgA level, smoking, and distant metastases. CONCLUSION: The proposed VCA-IgA-based nomogram demonstrated a promising ability to predict the DFS of patients with NPC after antitumor therapy. It could be used as a clinical guidance to improve the therapeutic/surveillance strategies of these patients.

Wavefront reconstruction method for aero-optical distortion based on compressed sensing.

The wavefront sensor plays an important role in the adaptive optics (AO) system for aero-optical distortion correction. However, the bandwidth of the current data interfaces of wavefront sensors, as one of the key factors, limits applications of the AO system in extremely high-frequency aero-optical distortion correction, leading to unsatisfactory performance. In this paper, a framework for wavefront data compression using compressed sensing is established to improve the correction ability of the AO system, and a disturbed Zernike gradient dictionary (DZGD) learning over the k-singular value decomposition algorithm is proposed for achieving good performance in the compression of aero-optical wavefront data. Based on the proposed DZGD, a method for aero-optical distortion data compression and wavefront reconstruction is developed that can efficiently reduce the amount of data in the information channel without degradation of the correction effect in aero-optical distortion correction. The compressibility of aero-optical distortions over the DZGD is analyzed in detail by numerical simulations. In addition, the selection criteria of the measurement matrix and the anti-noise characteristic of the method are also discussed. Data compression using our method is feasible and highly adaptable in the correction of aero-optical distortions, and exhibits stronger resistance against detector noise compared with using the conventional dictionary.

Monitoring the Effects of Hemicellulase on the Different Proofing Stages of Wheat Aleurone-Rich Bread Dough and Bread Quality.

This study investigated the effects of a hemicellulase dosage (20, 40, and 60 mg kg-1 of flour) on the bread quality and rheological properties of wheat aleurone-rich flour. The results showed that hemicellulase could soften dough and improve extensibility. At the optimum hemicellulase dosage (40 mg kg-1 of flour), the bread specific volume increased by 40.91% and firmness of breadcrumb decreased by 104.57% compared to those of the control. Intermolecular forces indicated that the gluten network during the proofing was mainly strengthened via disulfide bonds, hydrophobic interactions, and hydrogen bonds but not through ionic bonds after hemicellulase addition. Fourier infrared spectroscopy indicated that the hydrolytic activity of hemicellulase catalyzed the transition from α-helix to ß-sheet, which verified that viscoelasticity of gluten was enhanced at a dosage of 40 mg kg-1 of flour. These results suggested that hydrolyzation of hemicellulase contributed to the structural of gluten changes, thereby improving the quality of wheat aleurone-rich bread.

Mitigation of thermal blooming by rotating laser beams in the atmosphere.

A novel method, to the best of our knowledge, for mitigating thermal blooming by using the rotating beam when propagating in the atmosphere is proposed. The rotating beam, generated by coherent superposition of two vortex beams with opposite topological charges and frequency shift, can directly modulate the heat source in time and then mitigate the thermal blooming in the atmosphere. The theoretical model of the rotating beam propagating in the atmosphere has been established, and the thermal blooming effects of the rotating beam and the conventional nonrotating beam through the atmosphere have been analyzed and compared. Results indicate that, compared to the nonrotating beam propagating in the atmosphere, the rotating beam is less affected by the thermal blooming and exhibits outstanding performance in mitigating the thermal blooming effect, resulting in smaller beam expansion, less shift of the beam centroid position, and better beam quality than those of the nonrotating beam.

Long Noncoding RNA LIPE-AS1 Drives Prostate Cancer Progression by Functioning as a Competing Endogenous RNA for microRNA-654-3p and Thereby Upregulating Hepatoma-Derived Growth Factor.

INTRODUCTION: Information regarding the expression and roles of LIPE antisense RNA 1 (LIPE-AS1) in prostate cancer (PCa) progression is currently limited. We experimentally determined LIPE-AS1 expression in PCa tissues and cell lines. The specific functions of LIPE-AS1 in the oncogenicity of PCa were explored by evaluating a series of cellular functions. Moreover, the molecular mechanisms underlying the oncogenic roles of LIPE-AS1 in PCa were investigated. METHODS: The expression level of LIPE-AS1 was determined via quantitative reverse transcription polymerase chain reaction. Functional experiments, including the Cell Counting Kit-8 assay, Transwell migration and invasion assays, and tumor xenograft experiments, were used to determine the effects of LIPE-AS1 on PCa cells. The putative miRNA-binding LIPE-AS1 was predicted via bioinformatics analysis and further verified using the luciferase reporter and RNA immunoprecipitation assays. RESULTS: LIPE-AS1 was expressed at high levels in PCa cells; this result is consistent with that of The Cancer Genome Atlas database. Patients with PCa manifesting high LIPE-AS1 expression had shorter overall survival than those manifesting low LIPE-AS1 expression. Downregulated LIPE-AS1 inhibited PCa cell proliferation, migration, and invasion in vitro and impaired tumor growth in vivo. With respect to its mechanism, LIPE-AS1 functioned as a competing endogenous RNA for microRNA-654-3p (miR-654-3p) in PCa cells, and hepatoma-derived growth factor (HDGF) was the direct target of miR-654-3p. HDGF was positively regulated by LIPE-AS1 in PCa cells via the absorption of miR-654-3p. Rescue experiments confirmed that miR-654-3p downregulation or HDGF overexpression counteracts the inhibitory effects of LIPE-AS1 depletion on PCa cell proliferation, migration, and invasion. CONCLUSION: LIPE-AS1 promotes PCa malignancy by targeting the miR-654-3p/HDGF axis. Determining the LIPE-AS1/miR-654-3p/HDGF pathway may increase our understanding of PCa pathogenesis and contribute toward a wider applied scope.