BACKGROUND AND OBJECTIVE

Self-assessment and metacognition can be practiced with an exam wrapper (EW). EW is a structured, metacognitive, and self-regulated learning strategy that involves guided self-reflection on an exam already taken to improve study habits. This research describes how internal medicine (IM) residents at two tertiary private hospitals performed in written examinations using an EW. The relationship between the residents' metacognition, the exam wrapper, and exam performance was also determined.

This study employed a pre-experimental pre- and post-test design. The EW was constructed and tested for validity and reliability. It included (1) a description of study habits, (2) accuracy in self-efficacy perception and exam score prediction, (3) perceived reasons for exam mistakes, and (4) future study plans of residents. A complete enumeration of 24 IM residents was conducted. Respondents completed the Metacognitive Awareness Inventory (MAI) at the beginning of the study. The intervention consisted of (1) residents taking Exam 1: Gastroenterology, followed by EW; (2) Exam 2: Endocrinology and EW; then (3) Exam 3: Oncology, EW, and MAI. Scores were compared using a paired t-test or analysis of variance (ANOVA). The relationships between metacognition scores, the EW, and exam performance were determined using the Pearson correlation coefficient. The level of significance was set at p < 0.05.

The final EW comprises 16 items, with overall indices of content validity ratio of 0.72 and item-rated content validity of 0.8. The internal consistency coefficient is 0.65 (Kuder-Richardson 20). Nineteen out of 24 residents (79.17%) completed the study. Mean exam percentage scores were 57.97%, 42%, and 51.16% for Exams 1, 2, and 3, respectively. Exam 2 differed significantly from the other two exams (p = 0 and p = 0.04). EWs for the first two exams were not significantly different and revealed: (1) top study habits included studying right before an exam and skimming the textbook; (2) 68.42% vs. 63.16% accuracy of selfefficacy perception; (3) 26.32% vs. 31.58% accuracy of grade estimation; (4) 31.58% vs. 26.32% accuracy of error analysis; (5) most errors were due to not reading about the topic, and (6) most planned to “read more." Mean MAI scores were 36.79 ± 9.10 (pretest) and 36.05 ± 9.44 (post-test) (p = 0.81). All correlations were not statistically significant.

Residents performed poorly during exams, crammed their studies, preferred low-impact learning strategies, and lacked self-reflection skills and metacognition monitoring. Time issues related to reading or studying were common. There is no significant relationship between metacognition score and exam wrapper use or exam performance in IM residency trainees.

OBJECTIVES

This study aimed to identify problems and highlight opportunities for pharmaceutical sciences research in the Philippine pharmaceutical industry's regulatory and clinical research sectors that might have been previously overlooked or underrepresented. It identified current issues that can be addressed by research covering four areas of pharmaceutical sciences: drug design and discovery, pharmacokinetic/pharmacodynamic studies, formulation design and pharmaceutical technology, and regulatory science.

A descriptive qualitative approach was used in this study. Data collection was facilitated by key informant interviews (KII) using a standardized interview guide with open-ended questions to identify the pharmaceutical science research needs of the specific sectors. A purposive sampling method was employed, with five key informants (KIs), including the company vice president, director, and top-level managers from different local and multinational pharmaceutical companies. ATLAS.ti software was utilized to facilitate thematic synthesis for qualitative data analysis.

Thirteen common themes were identified from the KIs, such as (1) incomplete development of therapeutic compounds, (2) sustainability of raw materials supply, (3) regulation of herbal medicines versus food supplements, (4) mapping disease priorities through the Philippine pharmaceutical roadmap, (5) government incentives and policies to support research, (6) technical personnel, (7) suboptimal regulatory process, approvals, and implementation, (8) gap in utilization of acquired knowledge on regulations, (9) regulatory governance, (10) passive regulatory action on counterfeit drugs, (11) PIC/S GMP version 14 adaption, (12) formulation optimization, and (13) active pharmaceutical ingredient (API) sourcing and regulation. Based on insights from the International Pharmaceutical Federation regarding anticipated hurdles in pharmaceutical sciences over the next 5-10 years, priority research needs were identified through KIs' input. Relevant action plans were developed, including the creation of research proposals to isolate, purify, and determine chemical structures of natural products, as well as analyzing recent Philippine Health Statistics to help assess the appropriateness of new drug releases for patient needs. Other action plans include forecasting future disease burdens in the country, performing toxicology studies (Health-Based Evaluation Levels/No Observed Adverse Effect Level or HBEL/NOAEL) for common generic drugs, and ensuring that research efforts are directed toward addressing the Philippine pharmaceutical regulatory and clinical research sector's most pressing needs practically and feasibly.

This study offers valuable insights into pharmaceutical sciences research and development initiatives within the regulatory and clinical research sectors in the Philippine pharmaceutical industry. These findings have the potential to catalyze transformative advancements in healthcare delivery and outcomes, positioning the Philippines for global excellence and competitiveness.

Objective To explore the prognostic value of glycolysis-related genes in colorectal cancer (CRC) patients and formulate a novel glycolysis-related prognostic risk model. Methods Single-cell and bulk transcriptomic data of CRC patients, along with clinical information, were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) databases. Glycolysis scores for each sample were calculated using single-sample Gene Set Enrichment Analysis (ssGSEA). Kaplan-Meier survival curves were generated to analyze the relationship between glycolysis scores and overall survival. Novel glycolysis-related subgroups were defined among the cell type with the highest glycolysis scores. Gene enrichment analysis, metabolic activity assessment, and univariate Cox regression were performed to explore the biological functions and prognostic impact of these subgroups. A prognostic risk model was built and validated based on genes significantly affecting the prognosis. Gene Set Enrichment Analysis (GSEA) was conducted to explore differences in biological processes between high- and low-risk groups. Differences in immune microenvironment and drug sensitivity between these groups were assessed using R packages. Potential targeted agents for prognostic risk genes were predicted using the Enrichr database. Results Tumor tissues showed significantly higher glycolysis scores than normal tissues, which was associated with a poor prognosis in CRC patients. The highest glycolysis score was observed in epithelial cells, within which we defined eight novel glycolysis-related cell subpopulations. Specifically, the P4HA1⁺ epithelial cell subpopulation was associated with a poor prognosis. Based on signature genes of this subpopulation, a six-gene prognostic risk model was formulated. GSEA revealed significant biological differences between high- and low-risk groups. Immune microenvironment analysis demonstrated that the high-risk group had increased infiltration of macrophages and tumor-associated fibroblasts, along with evident immune exclusion and suppression, while the low-risk group exhibited higher levels of B cell and T cell infiltration. Drug sensitivity analysis indicated that high-risk patients were more sensitive to Abiraterone, while low-risk patients responded to Cisplatin. Additionally, Valproic acid was predicted as a potential targeted agent. Conclusion High glycolytic activity is associated with a poor prognosis in CRC patients. The novel glycolysis-related prognostic risk model formulated in this study offers significant potential for enhancing the diagnosis and treatment of CRC.
Humans ; Colorectal Neoplasms/pathology* ; Glycolysis/genetics* ; Prognosis ; Transcriptome ; Tumor Microenvironment/genetics* ; Gene Expression Profiling ; Single-Cell Analysis ; Gene Expression Regulation, Neoplastic ; Male ; Female ; Kaplan-Meier Estimate

Objective To elucidate the molecular mechanism by which exosomes (Exo) derived from cancer-associated fibroblasts (CAF) carrying HOX transcript antisense intergenic RNA (lncRNA HOTAIR) promote the metastasis of esophageal squamous cell carcinoma (ESCC). Methods CAFs were collected from tumor tissues, and non-cancer associated fibroblasts (NFs) were obtained from adjacent normal tissues at least 5 cm away from the tumor. Exosomes (CAFs-Exo and NFs-Exo) were isolated from conditioned media collected from CAFs or NFs. CAFs-Exo and NFs-Exo were incubated with human ESCC cell line TE-1 for 24 hours, and CCK-8 was used to determine the cell proliferation ability. Scratch test and Transwell test were performed to determine the cell migration and invasion ability. TE-1 cells were divided into the following two groups: NC group and KD group. The NC group and KD group were transfected with control siRNAs or siRNAs targeting HOTAIR respectively. The effects of HOTAIR knock-down on cell proliferation, migration, invasion and glycolysis were determined. Results CAFs-Exo promoted the proliferation of TE-1 cells more significantly than NFs-Exo. Compared with NFs-Exo group, the migration and invasion ability of TE-1 cells treated with CAFs-Exo were improved significantly. In addition, CAFs-Exo treatment inhibited the expression of E-cadherin and enhanced the expression of N-cadherin. The expression of HOTAIR in CAFs was significantly higher than that in NFs. Compared with NFs-Exo, the expression level of HOTAIR in CAFs-Exo increased significantly. Compared with NC group, the proliferation, migration and invasion of TE-1 cells in KD group decreased significantly. Compared with NC group, hexokinase 2 (HK2), extracellular acidification rate (ECAR) and ATP/ADP ratio of TE-1 cells in KD group decreased significantly. Conclusion HOTAIR, an exosome derived from CAFs, may be involved in metastasis and EMT by regulating glycolysis in ESCC cells.
Humans ; RNA, Long Noncoding/metabolism* ; Esophageal Neoplasms/metabolism* ; Cell Movement/genetics* ; Cell Proliferation/genetics* ; Cell Line, Tumor ; Esophageal Squamous Cell Carcinoma ; Exosomes/genetics* ; Neoplasm Metastasis ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic ; Glycolysis/genetics* ; Cancer-Associated Fibroblasts/metabolism* ; Carcinoma, Squamous Cell/metabolism* ; Cadherins/genetics*

Objective To investigate the expression and correlation of LY86-AS1 and KHDRBS2 in glioblastoma (GBM), and their impacts on the prognosis of patients and immune cell infiltration. Methods Based on the GSE50161 dataset from the Gene Expression Omnibus (GEO) database, LY86-AS1 and KHDRBS2, which are closely related to the development of GBM, were identified by WGCNA and differential expression analysis. The Cancer Genome Atlas (TCGA) and the Chinese Glioma Genome Atlas (CGGA) databases were used to analyze the relationship between the expression of LY86-AS1 and KHDRBS2 and the prognosis of GBM patients. Multiple datasets were employed to analyze the correlation between the expression levels of LY86-AS1 and KHDRBS2 and its relationship with immune cell infiltration. Real-time quantitative PCR was used to verify the expression of LY86-AS1 and KHDRBS2 in GBM and normal brain tissues. The Human Protein Atlas (HPA) database was accessed to obtain the protein expression of KHDRBS2, and immunohistochemical staining was conducted to verify the protein expression of KHDRBS2. Results LY86-AS1 and KHDRBS2 were lowly expressed in GBM tissues and were closely related to the development of GBM, showing a significant positive correlation. Patients with low expression levels of LY86-AS1 and KHDRBS2 had a lower overall survival rate than those with high expression levels. LY86-AS1 was positively correlated with naive B cells, plasma cells, activated NK cells, M1 macrophages, activated mast cells and monocytes. KHDRBS2 was positively correlated with naive B cells, plasma cells, helper T cells, activated NK cells and monocytes. Conclusion The low expression levels of LY86-AS1 and KHDRBS2 in GBM, which is associated with poor prognosis, affect the tumor immune microenvironment and may serve as potential new biomarkers for the diagnosis of GBM and the prognosis assessment of patients.
Humans ; Glioblastoma/metabolism* ; Prognosis ; Brain Neoplasms/pathology* ; Gene Expression Regulation, Neoplastic ; RNA-Binding Proteins/metabolism*

Objective To investigate the clinical relevance and diagnostic or prognostic value of ST3β-galactoside α-2, 3-sialyltransferase 1 (ST3GAL1) in glioma and to confirm its role in promoting malignant phenotypes. Methods Using data from The Cancer Genome Atlas (TCGA) database, we analyzed the correlation between ST3GAL1 expression levels in glioma and clinical parameters to evaluate its diagnostic and prognostic value. The impact of ST3GAL1 on malignant phenotypes of glioma cells-including proliferation, cell cycle progression, apoptosis, and invasion was further validated through ST3GAL1 knockdown experiments. Results The expression level of ST3GAL1 was significantly higher in glioma tissues compared to healthy brain tissues and showed a strong correlation with clinical characteristics of glioma patients. Survival analysis and receiver operating characteristic (ROC) curve demonstrated that ST3GAL1 could serve as a potential diagnostic and prognostic biomarker for glioma. Knockdown of ST3GAL1 suppressed proliferation, invasion, and migration capabilities of glioma cell lines, and induced G1-phase cell cycle arrest. Conclusion ST3GAL1 promotes malignant phenotypes in glioma and plays a critical role in its malignant progression, suggesting its potential as a biomarker for glioma diagnosis and prognosis.
Humans ; Sialyltransferases/metabolism* ; Glioma/diagnosis* ; Cell Proliferation/genetics* ; Cell Line, Tumor ; Brain Neoplasms/enzymology* ; beta-Galactoside alpha-2,3-Sialyltransferase ; Disease Progression ; Prognosis ; Cell Movement/genetics* ; Apoptosis/genetics* ; Male ; Female ; Gene Expression Regulation, Neoplastic ; Biomarkers, Tumor/metabolism* ; Middle Aged

Objective To investigate the gene expression and regulatory mechanisms of mouse embryonic fibroblasts (MEFs) under inflammatory conditions, aiming to elucidate the role of MEFs in inflammatory responses and provide a foundation for discovering anti-inflammatory drugs that act by modulating MEF function. Methods MEFs cultured in vitro were divided into the following groups: lipopolysaccharides (LPS)-treated group, inflammatory conditioned medium (CM)-treated group, and control group, which were treated with LPS, CM, and equal volume solvent, respectively. Transcriptome sequencing was used to analyze the effects of two stimuli on gene expression profile of MEFs. Real time fluorescence quantitative PCR (RT-qPCR) was employed to verify the transcription levels of highly expressed genes of MEFs induced by CM. ELISA was performed to determine the concentrations of cytokines in cell supernatants. Finally, the regulatory effects of CM on the activation of signaling pathways in MEFs were analyzed by immunoblotting. Results Transcriptome analysis showed that both LPS and CM induced the transcription of a large number of genes in MEFs. Compared with LPS, CM potentiated the mRNA transcription of some acute phase proteins, inflammatory cytokines, chemokines, matrix metalloproteinases (MMP), prostaglandin synthetases, and colony-stimulating factors. The transcriptome analysis was verified by RT-qPCR. The results of ELISA showed that CM treatment significantly increased the secretion of interleukin 6 (IL-6), C-C motif chemokine ligand (CCL2), and C-X-C motif chemokine ligand (CXCL1) by MEFs compared with LPS. Mechanism study showed that both LPS and CM induced the phosphorylation of nuclear factor-κB p65 (NF-κB p65), p38 mitogen-activated protein kinase (p38 MAPK), extracellular regulated protein kinases 1/2 (ERK1/2), and TANK-binding kinase (TBK) in MEFs, and CM strongly stimulated the phosphorylation of signal transducer and activator of transcription 3 (STAT3) in MEFs. Conclusion Both LPS and CM can induce transcription and protein secretion of various inflammation-related genes in MEFs. CM can partly enhance LPS-induced activation of MEFs, and the mechanism may be related to the enhancement effect of CM on the activation STAT3 signaling pathway.
Animals ; Fibroblasts/immunology* ; Mice ; Lipopolysaccharides/pharmacology* ; Inflammation/metabolism* ; Signal Transduction/drug effects* ; Gene Expression Regulation/drug effects* ; Cytokines/genetics* ; Culture Media, Conditioned/pharmacology* ; Cells, Cultured

Objective To explore the mechanism of TPT1-AS1 targeting miR-324/TWIST1 axis to regulate the proliferation, invasion, migration and angiogenesis of epithelial ovarian cancer (EOC) cells, thereby affecting ovarian cancer (OC) progression. Methods RT-qPCR was used to detect the expression of TPT1-AS1 and miR-324 in 29 OC lesions and adjacent tissue samples. The two OC cell models of TPT1-AS1 overexpression and miRNA324 knockdown were constructed, and the cell proliferation, invasion and migration abilities were detected by CCK-8, Transwell^TM and scratch test. Western blot analysis was used to detect the protein expression levels of TWIST1, epithelial cadherin (E-cadherin), Vimentin, and vascular endothelial growth factor A (VEGF-A) in OC cells. Fluorescence in situ hybridization (FISH) and RNA pull-down experiments were used to verify the interaction between TPT1-AS1 and miR-324. Immunohistochemistry and Targetscan bioinformatics analysis were used to verify the negative regulatory role of miR-324 in the epithelial-mesenchymal transition (EMT) process. Results The TPT1-AS1 expression was significantly higher in OC tissues than that in para-cancerous tissues, while the miR-324 expression was significantly lower. In SKOV3 cells with TPT1-AS1 overexpression, the miR-324 expression decreased significantly, and TPT1-AS1 was negatively correlated with miR-324. It was also found that TPT1-AS1 and miR-324 were co-expressed in OC cells, and there was a direct binding relationship between them. Down-regulation of miR-324 significantly promoted the proliferation, invasion and migration of SKOV3 cells. Further studies revealed that miR-324 had a binding site at the 3'-UTR end of the TWIST1, a key transcription factor for EMT. Inhibiting miR-324 expression increased the transcription level of TWIST1, leading to a decrease in E-cadherin protein expression and an increase in Vimentin protein expression. Additionally, the downregulation of miR-324 resulted in an increased expression level of VEGF-A protein, which in turn enhanced angiogenesis of OC. Conclusion TPT1-AS1 promotes EOC cell proliferation, invasion, migration and angiogenesis by negatively regulating the miR-324/TWIST1 axis, thus promoting the development of OC. These findings provide new potential targets for the diagnosis and treatment of OC.
Humans ; MicroRNAs/metabolism* ; Female ; Cell Movement/genetics* ; Ovarian Neoplasms/blood supply* ; Twist-Related Protein 1/metabolism* ; Cell Line, Tumor ; Neovascularization, Pathologic/genetics* ; Neoplasm Invasiveness ; Carcinoma, Ovarian Epithelial/metabolism* ; Nuclear Proteins/metabolism* ; Cell Proliferation/genetics* ; Epithelial-Mesenchymal Transition/genetics* ; Gene Expression Regulation, Neoplastic ; RNA, Long Noncoding/metabolism* ; Cadherins/genetics* ; Vascular Endothelial Growth Factor A/genetics* ; Vimentin/genetics* ; Angiogenesis

Objective TXN is a thioredoxin (TXN) that participates in many redox reactions and plays a crucial role in various signaling pathways. However, the role of TXN in many cancers is still unclear. The objective of this study is to investigate and visualize the diagnostic, prognostic, and immunological implications of TXN expression across various cancer types. Methods The clinical data were downloaded from the cancer genome mapping project(TCGA) database to analyze the expression level of TXN in pan cancer, and the expression level was preliminarily verified by human protein mapping (HPA)(https://www.proteinatlas.org/)database. The ESTIMATE algorithm and CIBERSORT algorithm were applied to calculate the correlation between TXN expression and immune cell infiltration. The correlation between TXN and microsatellite instability (MSI) and tumor mutation burden (TMB) was analyzed using Spearman method. Gene Set Enrichment Analysis (GSEA) is used for gene biology functional analysis and sensitivity analysis of genes to pan cancer therapeutic drugs. Results TXN is highly expressed in most malignant tumors. The high expression of TXN is associated with overall survival (OS), disease-specific survival (DSS), disease-free interval (DFI), and progression free interval (PFI) in various cancers. Moreover, TXN expression is associated with TMB, MSI, tumor microenvironment, chemotherapy sensitivity and so on. Conclusion TXN may become a potential prognostic biomarker in pan cancer, providing strong theoretical basis for future tumor diagnosis and prognosis judgment. The retinoic acid-inducible gene-I (RIG-I)-like receptor signaling pathway, Toll-like receptor (TLR) signaling pathway, and nucleotide binding oligomerization domain (NOD)-like receptor signaling pathway may be crucial pathways through which TXN influences tumor immunity.
Humans ; Prognosis ; Neoplasms/diagnosis* ; Thioredoxins/metabolism* ; Microsatellite Instability ; Gene Expression Regulation, Neoplastic ; Biomarkers, Tumor/genetics* ; Mutation ; Tumor Microenvironment

Objective To explore the influences of long-chain noncoding RNA DHRS4-AS1 (lncRNA DHRS4-AS1) on the proliferation, invasion, migration, and apoptosis of thyroid cancer (TC) cells by regulating the microRNA-221-3p (miR-221-3p)/suppressor of cytokine signaling 3 (SOCS3) signaling axis. Methods Quantitative real-time PCR (qRT-PCR) was applied to detect the expression of lncRNA DHRS4-AS1, miR-221-3p, and SOCS3 mRNA in TC cell lines, and the optimal cell line was selected for subsequent experiments. FTC-133 cells were divided into five groups: control group, pcDNA-NC group, DHRS4-AS1 group, DHRS4-AS1 combined with agomir NC group, and DHRS4-AS1 combined with miR-221-3p-agomir group. Transfection efficiency was assessed using qRT-PCR. Dual luciferase reporter assays were applied to verify the targeting interaction between lncRNA DHRS4-AS1, SOCS3, and miR-221-3p. Western blot analysis was used to detect the expression of SOCS3 in FTC-133 cells. EdU method was used to measure cell proliferation. Flow cytometry was applied to measure the apoptosis of FTC-133 cells. Scratch experiment was applied to measure the migration of FTC-133 cells. Transwell chamber was applied to detect the invasion of FTC-133 cells. Nude mouse transplantation tumor experiment was used to observe the effect of lncRNA DHRS4-AS1 on the growth of TC transplantation tumors. Results Dual luciferase reporter assays showed a targeting relationship between lncRNA DHRS4-AS1, miR-221-3p, and SOCS3. LncRNA DHRS4-AS1 and SOCS3 were downregulated and miR-221-3p was upregulated in FTC-133 cells. Overexpression of lncRNA DHRS4-AS1 inhibited proliferation, migration, and invasion of FTC-133 cells, while inducing apoptosis. Conversely, miR-221-3p overexpression reversed these inhibitory effects, and suppressed the apoptosis. Nude mouse transplantation experiment observed that overexpression of lncRNA DHRS4-AS1 resulted in a decrease in tumor tissue quality and volume, and a decrease in miR-221-3p expression and an increase in SOCS3 expression. Conclusion LncRNA DHRS4-AS1 is downregulated in FTC-133 cells. Overexpression of lncRNA DHRS4-AS1 can inhibit the proliferation, invasion, and migration of TC cells and induce apoptosis by regulating the miR-221-3p/SOCS3 signaling axis.
MicroRNAs/metabolism* ; Suppressor of Cytokine Signaling 3 Protein/metabolism* ; Humans ; RNA, Long Noncoding/metabolism* ; Apoptosis/genetics* ; Cell Proliferation/genetics* ; Cell Movement/genetics* ; Thyroid Neoplasms/physiopathology* ; Animals ; Signal Transduction/genetics* ; Cell Line, Tumor ; Mice, Nude ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic ; Mice ; Mice, Inbred BALB C