PRNP is a pan-cancer prognostic and immunity-related to EMT in colorectal cancer.

Background: Prion protein gene (PRNP) is widely expressed in a variety of tissues. Although the roles of PRNP in several cancers have been investigated, no pan-cancer analysis has revealed its relationship with tumorigenesis and immunity. Methods: Comprehensive analyses were conducted on The Cancer Genome Atlas (TCGA) Pan-Cancer dataset from the University of California Santa Cruz (UCSC) database to determine the expression of PRNP and its potential prognostic implications. Immune infiltration and enrichment analysis methods were used to ascertain correlations between PRNP expression levels, tumor immunity, and immunotherapy. Additionally, gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) methods were employed to examine possible signaling pathways involving PRNP. In vitro experiments using CCK-8 assay, Wound healing assay, and Transwell assay to detect the effect of Cellular prion protein (PrPC) on proliferation, migration, and invasion in colorectal cancer (CRC) cells. The expression levels of epithelial-mesenchymal transition (EMT)-related proteins (N-cadherin, E-cadherin, Vimentin and Snail) were detected by western blot. Results: Among most cancer types, PRNP is expressed at high levels, which is linked to the prognosis of patients. PRNP expression is strongly associated with immune infiltrating cells, immunosuppressive cell infiltration and immune checkpoint molecules. In addition to tumor mutation burden (TMB), substantial correlations are detected between PRNP expression and microsatellite instability (MSI) in several cancers. In vitro cell studies inferred that PrPC enhanced the proliferation, migration, invasion, and EMT of CRC cells. Conclusion: PRNP serves as an immune-related prognostic marker that holds promise for predicting outcomes related to CRC immunotherapy while simultaneously promoting cell proliferation, migration, and invasion activities. Furthermore, it potentially plays a role in governing EMT regulation within CRC.

Current Status of Cognition and Clinical Practice of Refractory Cancer Pain in Shanghai: A Questionnaire Survey.

Purpose: This study aimed to assess the current status of clinical practice of refractory cancer pain (RCP) among a sample of physicians specializing in cancer pain management in Shanghai. Methods: From 2019 to 2021, a questionnaire survey was conducted among physicians engaged in diagnosis and treatment of cancer pain through the questionnaire WJX network platform in Shanghai, China. Results: A total of 238 responses participated in the survey. This survey reports physicians' understanding and incidence rate of breakthrough cancer pain (BTCP). The choice of analgesics and satisfaction of analgesic effect were investigated. We also investigated doctors' knowledge of the diagnostic criteria for RCP and their tendency to choose analgesics. Oral immediate-release morphine and intravenous or subcutaneous morphine injection have been the common treatment approach for transient cancer pain exacerbations. The main barriers to pain management are lack of standardized treatment methods for RCP, lack of knowledge related to RCP, and single drug dosage form. Doctors believe the most necessary measures to improve the current situation of poor cancer pain control include improving medical staff's understanding and treatment techniques for RCP, updating treatment techniques and methods, and improving the configuration of drug types in medical institutions. Clinicians expect to improve understanding and treatment techniques through systematic training. Conclusion: Despite multiple available analgesic measures, the treatment of RCP remains challenging. Improving the understanding of medical staff towards RCP, improving treatment techniques, and increasing the accessibility of multiple drug types are important ways to improve the satisfaction of cancer pain management in the future.

CC chemokine receptors are prognostic indicators of gastric cancer and are associated with immune infiltration.

BACKGROUND: CC chemokine receptors are responsible for regulating the tumor microenvironment (TME) and participating in carcinogenesis and tumor advancement. However, no functional study has investigated CC chemokine receptors in gastric cancer (GC) prognosis, risk, immunotherapy, or other treatments. METHODS: We conducted a bioinformatics analysis on GC data using online databases, including the Human Protein Atlas (HPA), Kaplan-Meier (KM) plotter, GeneMANIA, MethSurv, the University of ALabama at Birmingham CANcer (UALCAN) Data Analysis Portal, Gene Set Cancer Analysis (GSCA), cBioportal, and Tumor IMmune Estimation Resource (TIMER). RESULTS: We noted that CC chemokine receptor expression correlated with survival in GC. CC chemokine receptor expression was also strongly linked to different tumor-infiltrating immune cells. Additionally, CC chemokine receptors were found to be broadly drug-resistant in GC. CONCLUSION: Our study identifed CC chemokine receptor expression helped in predicting the prognosis of patients diagnosed with GC. The expression level of the CC chemokine receptors was also positively related to multiple tumor-infiltrating lymphocytes (TILs). These findings provide evidence to monitor patients with GC using CC chemokine receptors, which can be used as an effective biomarker for predicting the disease prognosis and be regarded as a therapeutic target for modulating the tumor immune microenvironment.

An immunogenic cell death-associated classification predictions are important for breast invasive carcinoma prognosis and immunotherapy.

As a type of regulated cell death (RCD), immunogenic cell death (ICD) can initiate the adaptive immune responses. Numerous reports highlight the capacity of ICD to alter the tumor immune microenvironment by releasing Damage-Associated Molecular Patterns (DAMP) or danger signals to boost the efficacy of immunotherapy. Therefore, identification of the ICD-associated biomarkers is crucial for the prediction of ICD-induced immune responses. In this report, the consensus clustering technique was used to identify two subcategories (subtypes) linked to ICD. In comparison to the ICD-low subcategory, the ICD-high subcategory showed longer survival and more immune cell infiltration. Then, a novel ICD-associated prognostic model was developed and validated for predicting the survival of patients with breast invasive carcinomas (BRCA) and is linked to the tumor immune microenvironment. To conclude, a novel ICD-based BRCA classification scheme was designed. For individuals with BRCA, this categorization will be crucial for directing the assessment of prognosis and treatment.

C-Reactive Protein/Albumin Ratio Is an Independent Prognostic Predictor of Survival in Advanced Cancer Patients Receiving Palliative Care.

Background: The C-reactive protein/albumin (CRP/Alb) ratio has been reported as a prognostic factor of survival for patients with a variety of cancers. However, its prognostic impact for advanced cancer patients receiving palliative care remains presently unknown. Objective: The present study assessed the prognostic value of the CRP/Alb ratio, and compared this with that of the Glasgow Prognostic Score (GPS) and Palliative Prognostic Index (PPI) in a cohort of advanced cancer patients receiving palliative therapy. Methods: The medical records of 262 eligible patients who died of advanced cancer from February 1, 2013 to December 30, 2017 in the palliative care unit of the Fudan University Shanghai Cancer Center were retrospectively reviewed for the analysis. Results: The present results revealed that a CRP/Alb ratio ≥1.31 (hazard ratio [HR], 2.33 [1.78-3.05], p < 0.001) can predict poor prognosis through univariate analysis. In addition, the multivariate analysis revealed that CRP/Alb (HR, 2.09 [1.54-2.84], p < 0.001), GPS (HR, 1.81 [1.07-3.07], p < 0.001), and PPI (HR, 3.35 [2.25-4.99], p < 0.001) were all independent prognosis factors. To compare the discriminatory performance of the CRP/Alb ratio with that of other established prognostic indexes in palliative care settings, the c-statistics, integrated discriminatory improvement index, net reclassification index, and receiver operating characteristic curves were generated, and it was demonstrated that the CRP/Alb ratio (c-statistics, 0.64 [0.61-0.68]) was able to discriminate advanced cancer patients with different survivals, with analogous discriminatory ability as GPS (c-statistics, 0.63 [0.59-0.66]) and PPI (c-statistics, 0.64 [0.60-0.68]). Notably, the combination of multiple prognostic indexes exerted higher discriminatory ability, compared with any single predictive index (c-statistics, 0.69 [0.66-0.73], p < 0.001). Conclusions: The present study suggests that the CRP/Alb ratio is a promising prognostic factor in predicting cancer patient survival in palliative care settings. Incorporating both objective parameters and the subjective index may improve the prediction accuracy of prognosis.