Biomimetic Slippery Surface with Exclusive Liquid-Repellent and Self-Cleaning Properties for Antifouling.

The nature always offers amazing inspiration, where it is highly desirable to endow coatings on marine equipment with powerful functions. An excellent example is slippery zone of Nepenthes pitcher, which possesses novel liquid-repellent and self-cleaning performance. Therefore, this study presents an efficient fabrication method to prepare a novel coating. The coatings were fabricated by designing biomimetic textures extracted from the lunate bodies of slippery zone on polydimethylsiloxane (PDMS) and then grafting Dictyophora indusiata polysaccharide (DIP) modifier. The as-prepared slippery coatings exhibited outstanding antifouling properties against kinds of daily life pollutants such as Chlorella and coffee. This synergistic strategy was proposed combined with environmentally friendly modifier grafting and heterogeneous microstructure on the surface to broaden new probabilities for manufacturing slippery coatings with incredible protective functionality.

Evaluation of cell surface vimentin positive circulating tumor cells as a prognostic biomarker for stage III/IV colorectal cancer.

Currently, little is known about the phenotypes of circulating tumor cells (CTCs), particularly epithelial and mesenchymal phenotypes, and their impact on the prognosis of colorectal cancer (CRC) patients. This study aims to investigate the CTC phenotypes and their prognostic implications in stage III/IV CRC. Patients who were diagnosed with CRC and underwent CTC detection at two hospitals were included. CTCs were detected using a mesenchymal CTC kit, and the clinical and pathological characteristics of CTCs were compared with those of cell surface vimentin-positive CTCs (CSV-CTCs). Disease-free survival (DFS) was assessed and used as an indicator of CTC phenotype-related prognosis. Univariate and multivariate Cox regression analyses were made to identify risk factors, and nomogram models were employed for prognostic prediction. A total of 82 patients were enrolled, with a CTC detection rate of 86.6%. Among the detected CTCs, 60% were CSV-CTCs. The CSV-CTC count showed a positive correlation with the T-stage, the M-stage, and the location of the primary tumor (P = 0.01, P = 0.014, and P = 0.01, respectively). Kaplan-Meier survival analysis revealed that CSV-CTCs were associated with worse DFS in patients receiving first-line oxaliplatin chemotherapy (hazard ratio (HR) = 3.78, 95% CI 1.55-9.26, p = 0.04). When the cut-off value of the CSV-CTC count was 3, the optimal prognostic prediction was achieved. Compound models considering CSV-CTCs, TNM staging, the site of the primary tumor and the Ras gene status yielded the best results in both the receiver operating characteristic (ROC) analysis and the decision curve analysis (DCA). This study indicates that CSV-CTCs predominate in CTCs of CRC patients, and a count of CSV-CTCs ≥ 3 is an independent risk factor for worse prognosis.

Constructing a molecular subtype model of colon cancer using machine learning.

Background: Colon cancer (CRC) is one of the malignant tumors with a high incidence in the world. Many previous studies on CRC have focused on clinical research. With the in-depth study of CRC, the role of molecular mechanisms in CRC has become increasingly important. Currently, machine learning is widely used in medicine. By combining machine learning with molecular mechanisms, we can better understand CRC's pathogenesis and develop new treatments for it. Methods and materials: We used the R language to construct molecular subtypes of colon cancer and subsequently explored prognostic genes with GEPIA2. Enrichment analysis is used by WebGestalt to obtain differential genes. Protein-protein interaction networks of differential genes were constructed using the STRING database and the Cytoscape tool. TIMER2.0 and TISIDB databases were used to investigate the correlation of these genes with immune-infiltrating cells and immune targets. The cBioportal database was used to explore genomic alterations. Results: In our study, the molecular prognostic model of CRC was constructed to study the prognostic factors of CRC, and finally, it was found that Charcot-Leyden crystal galectin (CLC), zymogen granule protein 16 (ZG16), leucine-rich repeat-containing protein 26 (LRRC26), intelectin 1 (ITLN1), UDP-GlcNAc: betaGal beta-1,3-N-acetylglucosaminyltransferase 6 (B3GNT6), chloride channel accessory 1 (CLCA1), growth factor independent 1 transcriptional repressor (GFI1), aquaporin 8 (AQP8), HEPACAM family member 2 (HEPACAM2), and UDP glucuronosyltransferase family 2 member B15 (UGT2B15) were correlated with the subtype model of CRC prognosis. Enrichment analysis shows that differential genes were mainly associated with immune-inflammatory pathways. GFI1 and CLC were associated with immune cells, immunoinhibitors, and immunostimulator. Genomic analysis shows that there were no significant changes in differential genes. Conclusion: By constructing molecular subtypes of colon cancer, we discovered new colon cancer prognostic markers, which can provide direction for new treatments in the future.

Modified rubber band ligation for treatment of grade II/III hemorrhoids: clinical efficacy and safety evaluation-a retrospective study.

BACKGROUND: Massive, delayed bleeding (DB) is the most common major complication of Rubber Band Ligation (RBL) for internal hemorrhoids caused by premature band slippage. In this study we modified conventional RBL to prevent early rubber band slippage and evaluated its clinical efficacy and safety. METHODS: Study participants were consecutive patients with grade II or III internal hemorrhoids treated with RBL at Ningbo Medical Center of Lihuili Hospital from January 2019 to December 2020. Postoperative minor complications such as pain, swelling, anal edema, prolapse recurrence and major complications like DB were retrospectively reviewed. RESULTS: A total of 274 patients were enrolled, including 149 patients treated with modified RBL and 125 treated with conventional RBL. There was no statistically significant difference between the two groups at baseline. Five cases of postoperative DB have been observed in the conventional RBL group, compared to none in the modified ones, with a significant difference (P < 0.05). Within three months after surgery, 8 cases in the modified RBL group experienced a recurrence rate of 5.4%, whereas 17 patients in the conventional RBL group experienced a recurrence rate of 13.6%. The difference was statistically significant (P < 0.05). The VAS score, edema, and incidence of sensation of prolapse between the two groups were not significantly different at 3 and 7 days after surgery (P < 0.05). There were also no significant differences in HDSS and SHS scores between the two groups after surgery (P > 0.05). CONCLUSION: Modified RBL may be associated with a lower rate of complications, especially with lower DB rate in comparison with standard RBL. Further studies in larger samples and different design are necessary to confirm these results.

Identification of 9 Gene Signatures by WGCNA to Predict Prognosis for Colon Adenocarcinoma.

Background: A risk assessment model for prognostic prediction of colon adenocarcinoma (COAD) was established based on weighted gene co-expression network analysis (WGCNA). Methods: From the Cancer Genome Atlas (TCGA) database, RNA-seq data and clinical data of COAD patients were retrieved. After screening of differentially expressed genes (DEGs), WGCNA was performed to identify gene modules and screen those associated with COAD progression. Then, via protein-protein interaction (PPI) network construction of module genes, hub genes were obtained, which were then subjected to the least absolute shrinkage and selection operator (LASSO) and Cox regression to build a hub gene-based prognostic scoring model. The receiver operating characteristic curve (ROC curve) was plotted for the optimal cutoff (OCO) of the risk score, based on which, patients were assigned to high or low-risk groups. Areas under the ROC curve (AUCs) were calculated, and model performance was visualized using Kaplan-Meier (KM) survival curves and verified in the external dataset GSE29621. Finally, the model's independent prognostic value was evaluated by univariate and multivariate Cox regression analyses, and a nomogram was built. Results: Totally 2840 DEGs were screened from COAD dataset of TCGA, including 1401 upregulated ones and 1439 downregulated ones, which were divided into 10 modules by WGCNA. The eigenvalue of the black module was found to have a high correlation with COAD progression. PPI interaction networks were constructed for genes in the black module, and 34 hub genes were obtained by using the MCODE plug-in. A LASSO-Cox regression approach was utilized to analyze the hub genes, and a prognostic risk score model based on the signatures of 9 genes (CHEK1, DEPDC1B, FANCI, MCM10, NCAPG, PARPBP, PLK4, RAD51AP1, and RFC4) was constructed. KM analysis identified shorter overall lower survival in the high-risk group. The model was verified to have favorable predictive ability through training set and validation set. The nomogram, composed of tumor node metastasis (TNM) staging and risk score, was of good predictability. Conclusions: The COAD prognostic risk model constructed upon the signatures of 9 genes (CHEK1, DEPDC1B, FANCI, MCM10, NCAPG, PARPBP, PLK4, RAD51AP1, and RFC4) can effectively predict the survival status of COAD patients.

Predictive Value of Circulating Tumor Cells in Prognosis of Stage III/IV Colorectal Cancer After Oxaliplatin-based First-line Chemotherapy.

BACKGROUND/AIM: Insufficient data exist to support the concept of the circulating tumor cell (CTC) level as a prognostic factor for platinum-based first-line chemotherapy. This study investigated the impact of CTCs on the prognosis of patients with advanced colorectal cancer (CRC) after receiving platinum-based chemotherapy. Analyses were carried out of clinicopathological features and molecular phenotypes to clarify independent risk factors for a high CTC count. PATIENTS AND METHODS: Patients diagnosed with stage III/IV CRC (n=76) were included in the study. The blood samples of patients were evaluated for CTCs using the CellRich™ platform system. Immunohistochemistry (Ias used to analyze epithelial-mesenchymal transition-associated biomarkers E-cadherin and vimentin. Univariate and logistic regression analyses were then conducted to analyze the risk factors for CTC expression. Additionally, the influence of oxaliplatin on disease-free survival after first-line chemotherapy or during chemotherapy was analyzed through a 2-year follow-up. RESULTS: Patients in the CTC+ group experienced shorter DFS after receiving oxaliplatin first-line chemotherapy than patients in the CTC- group (p<0.01). In addition, univariate analysis revealed that the tumor M-stage, tumor location, RAS mutation, high expression of vimentin, and deletion of E-cadherin expression were correlated with a high CTC count. Multivariate analysis suggested that the presence of RAS gene mutations and high vimentin expression were independent risk factors for high CTC loads (p<0.01). CONCLUSION: CTC positivity can indicate the efficacy of first-line chemotherapy with oxaliplatin in stage III/IV colorectal cancer. This may be linked to tumor epithelial-mesenchymal transition in patients with CTCs. Moreover, RAS gene mutation and high expression of vimentin were identified as independent risk factors for a high CTC count.

Comparison of postoperative laparoscopic and open total mesorectal excision on lower urinary tract function in men with rectal cancer.

OBJECTIVES: This study investigated male voiding dysfunction (VD) or lower urinary tract function in rectal cancer (RC) patients after laparoscopic or open total mesorectal excision with pelvic autonomic nerve preservation (PANP). METHODS: One hundred and eighty-seven male RC patients admitted between January 2016 and May 2019 were enrolled in this study, 112 of whom underwent laparoscopic total mesorectal excision (LTME) and 75 underwent open total mesorectal excision (OTME). The International Prostatic Symptom Score (IPSS) was compared between the two groups. RESULTS: The postoperative IPSS in patients with RC was elevated on day 7 and gradually decreased during the first month after surgery. Compared with the OTME group, the IPSS scores decreased less in the LTME group at week 1, and months 1 and 3 postoperatively (6.82 ± 2.13 vs 10.15 ± 3.86, 5.70 ± 2.45 vs 7.21 ± 2.0, and 5.01 ± 2.09 vs 5.75 ± 2.55, respectively; P < 0.05). The VD rate was significantly lower in the LTME group than the OTME group at 1, 2, and 3 weeks postoperatively (21.4% vs 26.8%,13.4% vs 25.3%, and 9.8% vs18.6%, respectively; P < 0.05); however, there was no major difference in the incidence of VD 6 months postoperatively between the two groups (P > 0.05). VD was more frequent in the OTME group than the LTME group 6 months postoperatively, but the difference was not statistically significant (odds ratio = 1.857, 95% CI, 0.964-3.645, P = 0.064). CONCLUSIONS: LTME may be superior to OTME with respect to PANP of lower urinary tract function in males with RC.

Circadian gene hCLOCK contributes to progression of colorectal carcinoma and is directly regulated by tumor­suppressive microRNA­124.

An abundance of studies has demonstrated that disruption of circadian rhythms is one of the factors that may contribute to the initiation and development of human colorectal carcinomas (CRCs). Recently, microRNA­124 has been demonstrated to suppress tumor growth or metastasis of CRCs. However, the mechanisms of cross­talk between microRNA­124 (miR­124) and circadian rhythms in the regulation of CRCs are poorly understood. The present study demonstrated that the protein expression levels of human circadian locomoter output cycles protein kaput (hCLOCK) is significantly increased, while miR­124 is attenuated in high­grade human CRC tissues and in the more invasive colorectal cancer cell lines SW620 and LOVO. It was further demonstrated that hCLOCK is a direct target of miR­124. Upregulation of miR­124 significantly inhibited hCLOCK expression in LOVO cells, and consequently inhibited its promoting effects on the proliferation and migration of LOVO cells. In conclusion, these data revealed that hCLOCK serves an enhancing role, whereas mir­124 serves a suppressive role, in human CRC. Attenuation of miR­124, of which hCLOCK is a direct target, leads to increased hCLOCK expression and disruption of circadian rhythms in CRC.