Laparoscopic resection of a giant choledochal cyst: A rare case report.

Giant choledochal cysts are rare, and so little data exist on the best surgical treatment method. We present here, a case of a giant choledochal cyst that was successfully excised by laparoscopic resection. A 37-year-old female presented with right upper abdominal pain and mild jaundice. On examination she had a right upper abdominal mass which on imaging was observed to be a giant choledochal cyst of type IVa, measuring approximately 129 mm × 190 mm. Her blood test results showed abnormal liver function. We successfully performed laparoscopic resection of the cyst, the patient recovered well and was discharged from hospital eight days post-operation without any complications. We wish to share the experience of this rare case and provide some clinical basis for future diagnosis and use of laparoscopic resection in the treatment of giant choledochal cysts.

LINC00707 impairs the Natural Killer cell antitumour activity in hepatocellular carcinoma through decreasing YTHDF2 stability.

Hepatocellular carcinoma (HCC) is the fifth most frequently diagnosed cancer and ranks third in cancer-related fatalities. The recognized involvement of long noncoding RNAs (lncRNAs) in several cancer types, including HCC, inspired this study to explore a novel lncRNA's functional importance in the progression of HCC. To achieve this, lncRNA microarray analysis was conducted on three distinct sets of HCC tissues, revealing LINC00707 as the most significantly upregulated lncRNA. Further research into its biological functions has revealed that LINC00707 acts as an oncogene, driving HCC progression by enhancing the proliferation, migration and invasion of HCC cells. Mechanistic insights were provided, demonstrating that LINC00707 interacts with YTH N6-methyladenosine RNA-binding protein 2 (YTHDF2), thus facilitating the ubiquitination-dependent degradation of the YTHDF2 protein. Furthermore, LINC00707 was found to influence the cytotoxicity of NK-92MI cells against HCC cells through its interactions with YTHDF2. These findings significantly contribute to a deeper understanding of the role played by LINC00707 in the progression of HCC.

Identification of metabolism terms significantly affecting hepatocellular carcinoma immune microenvironment and immunotherapy response.

Metabolic pathways exert a significant influence on the onset and progression of cancer. Public data on hepatocellular carcinoma (HCC) patients were obtained from The Cancer Genome Atlas (TCGA) and International Cancer Genome Consortium (ICGC) databases. Analysis was performed in R software using different R packages. Here, we integrated the data from multiple independent HCC cohorts, including TCGA-LIHC, ICGC-FR and ICGC-JP. Then, the enrichment score of 21 metabolism-related pathways was quantified using the ssGSEA algorithm. Next, univariate Cox regression analysis was applied to identify the metabolic terms with significant correlation to patient survival. Finally, a prognosis model based on linoleic acid metabolism, sphingolipid metabolism and regulation of lipolysis in adipocytes was established, which showed good performance in predicting patients' survival. Furthermore, we conducted a biological enrichment analysis to delineate the biological disparities between high- and low-risk patients. Notably, we discerned differences in the microenvironments between these two patient groups. We also found that low-risk patients could potentially respond better to immunotherapy. Drug sensitivity analysis suggested that low-risk patients are more susceptible to bexarotene and erlotinib, yet exhibit resistance to ATRA and bleomycin. Furthermore, through the use of LASSO logistic regression analysis, we identified 19 characteristic genes, which could robustly indicate the risk groups. Our research underscores the role of linoleic acid metabolism, sphingolipid metabolism and the regulation of lipolysis in adipocytes in HCC, pointing towards potential avenues for future research.

Study of Long-Term Determination Accuracy for REEs in Geological Samples by Inductively Coupled Plasma Quadrupole Mass Spectrometry.

This work presents the long-term determination accuracy study of ICP-QMS for rare earth elements (REEs) in geological matrices. Following high-pressure closed acidic decomposition, REEs are measured repetitively across seven months by ICP-QMS. Under optimum experimental conditions (including spray chamber temperature, gas flow rate, sampling depth, etc.), the REE contents in geological standard materials from basic (basalt BCR-2 and BE-N) to intermediate (andesite AGV-2) and up to acidic (granite GSR-1) show good agreement with the certified values, giving relative errors below 10%. Here, the influence of two storage materials (perfluoroalkoxy PFA and polypropylene PP) on the long-term determination accuracy of REEs has also been monitored. It is found that the relative errors of REEs using a PFA container range from -6.6 to 6.3% (RSDs < 6.0%), while that using a PP container are within -4.0 to 3.9% (RSDs < 4.6%). By using PP material as a solution storage container, the accuracy of REEs quantification in a series of real geological samples are checked, showing the RSDs of less than 5.0%. This work first clarifies the long-term stability of REEs quantification by ICP-QMS covering two types of storage materials, confirming the reasonability of PP material as a daily storage container in terms of higher data precision and lower cost.

Study on the interaction of catalase with pesticides by flow injection chemiluminescence and molecular docking.

The interaction mechanisms of catalase (CAT) with pesticides (including organophosphates: disulfoton, isofenphos-methyl, malathion, isocarbophos, dimethoate, dipterex, methamidophos and acephate; carbamates: carbaryl and methomyl; pyrethroids: fenvalerate and deltamethrin) were first investigated by flow injection (FI) chemiluminescence (CL) analysis and molecular docking. By homemade FI-CL model of lg[(I0-I)/I]=lgK+nlg[D], it was found that the binding processes of pesticides to CAT were spontaneous with the apparent binding constants K of 10(3)-10(5) L mol(-1) and the numbers of binding sites about 1.0. The binding abilities of pesticides to CAT followed the order: fenvalerate>deltamethrin>disulfoton>isofenphos-methyl>carbaryl>malathion>isocarbophos>dimethoate>dipterex>acephate>methomyl>methamidophos, which was generally similar to the order of determination sensitivity of pesticides. The thermodynamic parameters revealed that CAT bound with hydrophobic pesticides by hydrophobic interaction force, and with hydrophilic pesticides by hydrogen bond and van der Waals force. The pesticides to CAT molecular docking study showed that pesticides could enter into the cavity locating among the four subdomains of CAT, giving the specific amino acid residues and hydrogen bonds involved in CAT-pesticides interaction. It was also found that the lgK values of pesticides to CAT increased regularly with increasing lgP, Mr, MR and MV, suggesting that the hydrophobicity and steric property of pesticide played essential roles in its binding to CAT.