Objective To explore the potential profile of body image and its influencing factors among head and neck cancer patients.Methods Convenience sampling was employed to investigate 335 head and neck cancer patients in a tertiary hospital in Shandong Province from October 2023 to May 2024.Data was collected using the patient's general information questionnaire,Body Image Scale,Medical Coping Modes Questionnaire,Perceived Social Support Scale,Comprehensive Score for Financial Toxicity based on the Patient-Reported Outcome Measures.Latent profile analysis and multivariate Logistic regression analysis were used to explore distinct profiles and influencing factor of body image in head and neck patients.Results A total of 335 valid questionnaires were collected in this study,and 95.4％of the valid questionnaires were included.Body image of patients with head and neck cancer could be divided into 3 latent profiles:body emotional stability(41.5％),body cognitive dissatisfaction(33.7％)and social behavior avoidance(24.8％).Age,location of cancer onset,stage of cancer,surgical treatment,medical coping style(facing coping,yielding coping),social support and economic toxicity were the factors influencing the latent profiles of body image in patients with head and neck cancer(P＜0.05).Conclusion There is heterogeneity in body image of patients with head and neck cancer.Medical staff should implement targeted management strategies based on the influencing factors of different profiles to reduce the body image disorders in patients with head and neck cancer,and to promote patients to better return to society.

BACKGROUND: The transcription factor POU2F1 regulates the expression levels of microRNAs in neoplasia. However, the miR-29b1/a cluster modulated by POU2F1 in gastric cancer (GC) remains unknown. METHODS: Gene expression in GC cells was evaluated using reverse-transcription polymerase chain reaction (PCR), western blotting, immunohistochemistry, and RNA in situ hybridization. Co-immunoprecipitation was performed to evaluate protein interactions. Transwell migration and invasion assays were performed to investigate the biological behavior of GC cells. MiR-29b1/a cluster promoter analysis and luciferase activity assay for the 3'-UTR study were performed in GC cells. In vivo tumor metastasis was evaluated in nude mice. RESULTS: POU2F1 is overexpressed in GC cell lines and binds to the miR-29b1/a cluster promoter. POU2F1 is upregulated, whereas mature miR-29b-3p and miR-29a-3p are downregulated in GC tissues. POU2F1 promotes GC metastasis by inhibiting miR-29b-3p or miR-29a-3p expression in vitro and in vivo . Furthermore, PIK3R1 and/or PIK3R3 are direct targets of miR-29b-3p and/or miR-29a-3p , and the ectopic expression of PIK3R1 or PIK3R3 reverses the suppressive effect of mature miR-29b-3p and/or miR-29a-3p on GC cell metastasis and invasion. Additionally, the interaction of PIK3R1 with PIK3R3 promotes migration and invasion, and miR-29b-3p , miR-29a-3p , PIK3R1 , and PIK3R3 regulate migration and invasion via the phosphatidylinositol 3-kinase/protein kinase B/mammalian target of rapamycin (PI3K/Akt/mTOR) pathway in GC cells. In addition, POU2F1 , PIK3R1 , and PIK3R3 expression levels negatively correlated with miR-29b-3p and miR-29a-3p expression levels in GC tissue samples. CONCLUSIONS The POU2F1 - miR-29b-3p / miR-29a-3p-PIK3R1 / PIK3R1 signaling axis regulates tumor progression and may be a promising therapeutic target for GC.
MicroRNAs/metabolism* ; Humans ; Stomach Neoplasms/pathology* ; Cell Line, Tumor ; Cell Movement/physiology* ; Phosphatidylinositol 3-Kinases/metabolism* ; Animals ; Mice ; Octamer Transcription Factor-1/metabolism* ; Mice, Nude ; Class Ia Phosphatidylinositol 3-Kinase/metabolism* ; Neoplasm Invasiveness ; Gene Expression Regulation, Neoplastic/genetics* ; Male ; Immunohistochemistry ; Female

OBJECTIVE To explore the diagnostic value of the guanylate binding protein 5(GBP5)gene in pa-tients infected with Mycobacterium tuberculosis(MTB).METHODS Patients who visited the Fifth People's Hos-pital of Suzhou from Jan.2024 to May 2024,as well as individuals undergoing health examinations during the same period,were selected as the study subjects.Based on the diagnostic criteria,the subjects were divided into active tuberculosis(ATB)group(230 cases),pneumonia group(207 cases),latent tuberculosis infection(LTBI)group(48 cases)and healthy control(HC)group(122 cases).Real-time quantitative reverse transcription poly-merase chain reaction was used to detect the expression level of the GBP 5 gene in the whole blood of the subjects,and receiver operating characteristic(ROC)curves were employed to analyze its diagnostic performance.RESULTS There were statistically significant differences in GBP5 gene expression among the four groups(P＜0.001).The area under the ROC curve(AUC)for GBP5 in distinguishing the ATB group from the HC group,LTBI group and pneumonia group was 0.902,0.813 and 0.745,respectively.In the ATB group,the positive de-tection rate of the GBP5 method was 67.39％,higher than that of Gene Xpert MTB/RIF(62.20％),tuberculosis culture(60.00％)and smear acid-fast staining(35.20％)(P＜0.05).When distinguishing between ATB and LTBI patients,the positive prediction value of GBP5 was 95.09％,higher than that of IGRA testing(79.92％)(P＜0.05).The expression level of GBP5 was negatively correlated with the MTB bacterial load(P＜0.001).CONCLUSIONS The detection of the GBP5 gene has important clinical significance in the auxiliary diagno-sis of tuberculosis and can serve as an effective supplement to existing diagnostic methods for tuberculosis.

To evaluate the diagnostic performance of a three-gene (GBP5, DUSP3, and TBP) tuberculosis (TB) score in bacteriologically-negative pulmonary tuberculosis, and to develop and validate a discriminative diagnostic model by integrating inflammatory cytokines (IL-2, IL-5, IL-17, and IFN-γ). A prospective cohort study was conducted, a total of 238 patients admitted to the Affiliated Infectious Disease Hospital of Soochow University from May 2023 to May 2024 were enrolled, including 119 pathogen-negative pulmonary tuberculosis patients and 119 patients with other pulmonary diseases (OPD). The GeneXpert MTB-HR kit was used to detect the three-gene TB scores from residual blood routine samples. The diagnostic performance was assessed using receiver operating characteristic (ROC) curve analysis. Concurrent data on 12 inflammatory cytokines were collected from patients. Potential biomarkers were screened using univariate analysis and multivariate logistic regression, and selected features were incorporated into the construction of four machine learning models: logistic regression, support vector machine (SVM), K-nearest neighbors (KNN), and adaptive boosting (AdaBoost). The samples were randomly split into a training set (85%) and a test set (15%). The models were trained on the training set, and their diagnostic performance was validated using the test set. The predictive ability of each model was evaluated based on ROC curve parameters. The results showed that the three-gene TB score alone yielded an AUC of 0.539 (sensitivity: 50.94%, specificity: 60.50%) in distinguishing pathogen-negative pulmonary tuberculosis from OPD. Four non-col-linear inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) were selected and combined with the three-gene TB score to construct machine learning models. The AdaBoost model demonstrated the best performance, achieving an AUC of 0.893 (sensitivity: 85.4%, specificity: 73.0%) in the training set and an AUC of 0.873 (sensitivity: 88.2%, specificity: 72.2%) in the test set. In conclusion,the AdaBoost diagnostic model integrating the three-gene TB score with inflammatory factors (IL-2, IL-5, IL-17, and IFN-γ) exhibits superior discriminating performance for pathogen-negative pulmonary tuberculosis compared to OPD, significantly outperforming the three-gene TB score alone.

Background and Aims:Coactivator-associated arginine methyltransferase 1(CARM1)is involved in the regulation of RNA and protein processing.Recent studies have revealed its crucial role in tumorigenesis and cancer progression.However,the correlation between CARM1 expression,pan-cancer prognosis,and the immune microenvironment remains unclear.This study was conducted to investigate the relationship between CARM1 expression and pan-cancer prognosis,immune microenvironment,and its potential biological mechanisms using bioinformatics approaches.Methods:Using the TCGA,GTEx,and HPA databases,the expression pattern of CARM1 in various cancers and its prognostic relevance were analyzed.The correlation between CARM1 expression and the tumor microenvironment,as well as immune checkpoint genes,were analyzed using TCGA data.The PPI network of CARM1-interacting genes was constructed using the STRING database.GSEA was performed to investigate the potential biological mechanisms of CARM1 in pan-cancer.Results:Compared to normal tissues,CARM1 was upregulated in most tumor tissues,and its expression was associated with prognosis in multiple cancers.CARM1 expression was correlated with immune cell infiltration and immune checkpoint gene expression.Enrichment analysis suggested that CARM1 might alter the biological function of urinary system tumors by affecting ribosome biogenesis.Additionally,it may influence the biological functions of digestive system tumors by modulating arginine biosynthesis,DNA replication,and the cell cycle.Conclusion:CARM1 is aberrantly expressed in tumor tissues and may serve as a prognostic biomarker for multiple cancers.It is associated with the tumor microenvironment and immune checkpoint gene expression in pan-cancer and may contribute to tumorigenesis through multiple biological pathways,making it a potential therapeutic target for pan-cancer treatment.

Objective:To conduct a scoping review of research on the effects of networked dyadic mindfulness-based intervention in cancer patients and their caregivers, to identify the elements of networked dyadic mindfulness-based intervention, and to inform future application of this intervention program in cancer patients and their caregivers.Methods:Using the scoping review methodology as a framework, literature on the effects of networked dyadic mindfulness-based intervention in cancer patients and their caregivers was searched in PubMed, Web of Science, Embase, CINAHL, PsycINFO, Cochrane Library, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biomedical Database. Literature was included and analyzed, and the search time frame was from the establishment of the database to June 18, 2023.Results:A total of 12 articles were included. Forms of networked dyadic mindfulness-based intervention included videoconferencing, internet teleconferencing, mindfulness apps, WeChat, video and audio linking, and so on. The intervention included teaching mindfulness skills, guiding binary interactive exercises, assisting in goal decision-making, integrating individual needs of cancer patients and their caregivers, providing diversified course reminders, and repeating learning pathways. The outcome indicators involved cancer patients, caregivers, dyadic relationship, and feasibility evaluation.Conclusions:The networked dyadic mindfulness-based intervention in cancer patients and their caregivers is feasible and has certain effects. In the future, we can learn from foreign intervention programs to design intervention strategies that are suitable for China's cultural background and scientific, and further improve the effectiveness evaluation indicators to enhance the effect of intervention.

Background and Aims:Coactivator-associated arginine methyltransferase 1(CARM1)is involved in the regulation of RNA and protein processing.Recent studies have revealed its crucial role in tumorigenesis and cancer progression.However,the correlation between CARM1 expression,pan-cancer prognosis,and the immune microenvironment remains unclear.This study was conducted to investigate the relationship between CARM1 expression and pan-cancer prognosis,immune microenvironment,and its potential biological mechanisms using bioinformatics approaches.Methods:Using the TCGA,GTEx,and HPA databases,the expression pattern of CARM1 in various cancers and its prognostic relevance were analyzed.The correlation between CARM1 expression and the tumor microenvironment,as well as immune checkpoint genes,were analyzed using TCGA data.The PPI network of CARM1-interacting genes was constructed using the STRING database.GSEA was performed to investigate the potential biological mechanisms of CARM1 in pan-cancer.Results:Compared to normal tissues,CARM1 was upregulated in most tumor tissues,and its expression was associated with prognosis in multiple cancers.CARM1 expression was correlated with immune cell infiltration and immune checkpoint gene expression.Enrichment analysis suggested that CARM1 might alter the biological function of urinary system tumors by affecting ribosome biogenesis.Additionally,it may influence the biological functions of digestive system tumors by modulating arginine biosynthesis,DNA replication,and the cell cycle.Conclusion:CARM1 is aberrantly expressed in tumor tissues and may serve as a prognostic biomarker for multiple cancers.It is associated with the tumor microenvironment and immune checkpoint gene expression in pan-cancer and may contribute to tumorigenesis through multiple biological pathways,making it a potential therapeutic target for pan-cancer treatment.

OBJECTIVE To explore the diagnostic value of the guanylate binding protein 5(GBP5)gene in pa-tients infected with Mycobacterium tuberculosis(MTB).METHODS Patients who visited the Fifth People's Hos-pital of Suzhou from Jan.2024 to May 2024,as well as individuals undergoing health examinations during the same period,were selected as the study subjects.Based on the diagnostic criteria,the subjects were divided into active tuberculosis(ATB)group(230 cases),pneumonia group(207 cases),latent tuberculosis infection(LTBI)group(48 cases)and healthy control(HC)group(122 cases).Real-time quantitative reverse transcription poly-merase chain reaction was used to detect the expression level of the GBP 5 gene in the whole blood of the subjects,and receiver operating characteristic(ROC)curves were employed to analyze its diagnostic performance.RESULTS There were statistically significant differences in GBP5 gene expression among the four groups(P＜0.001).The area under the ROC curve(AUC)for GBP5 in distinguishing the ATB group from the HC group,LTBI group and pneumonia group was 0.902,0.813 and 0.745,respectively.In the ATB group,the positive de-tection rate of the GBP5 method was 67.39％,higher than that of Gene Xpert MTB/RIF(62.20％),tuberculosis culture(60.00％)and smear acid-fast staining(35.20％)(P＜0.05).When distinguishing between ATB and LTBI patients,the positive prediction value of GBP5 was 95.09％,higher than that of IGRA testing(79.92％)(P＜0.05).The expression level of GBP5 was negatively correlated with the MTB bacterial load(P＜0.001).CONCLUSIONS The detection of the GBP5 gene has important clinical significance in the auxiliary diagno-sis of tuberculosis and can serve as an effective supplement to existing diagnostic methods for tuberculosis.

Objective To explore the potential profile of body image and its influencing factors among head and neck cancer patients.Methods Convenience sampling was employed to investigate 335 head and neck cancer patients in a tertiary hospital in Shandong Province from October 2023 to May 2024.Data was collected using the patient's general information questionnaire,Body Image Scale,Medical Coping Modes Questionnaire,Perceived Social Support Scale,Comprehensive Score for Financial Toxicity based on the Patient-Reported Outcome Measures.Latent profile analysis and multivariate Logistic regression analysis were used to explore distinct profiles and influencing factor of body image in head and neck patients.Results A total of 335 valid questionnaires were collected in this study,and 95.4％of the valid questionnaires were included.Body image of patients with head and neck cancer could be divided into 3 latent profiles:body emotional stability(41.5％),body cognitive dissatisfaction(33.7％)and social behavior avoidance(24.8％).Age,location of cancer onset,stage of cancer,surgical treatment,medical coping style(facing coping,yielding coping),social support and economic toxicity were the factors influencing the latent profiles of body image in patients with head and neck cancer(P＜0.05).Conclusion There is heterogeneity in body image of patients with head and neck cancer.Medical staff should implement targeted management strategies based on the influencing factors of different profiles to reduce the body image disorders in patients with head and neck cancer,and to promote patients to better return to society.

Objective:To conduct a scoping review of research on the effects of networked dyadic mindfulness-based intervention in cancer patients and their caregivers, to identify the elements of networked dyadic mindfulness-based intervention, and to inform future application of this intervention program in cancer patients and their caregivers.Methods:Using the scoping review methodology as a framework, literature on the effects of networked dyadic mindfulness-based intervention in cancer patients and their caregivers was searched in PubMed, Web of Science, Embase, CINAHL, PsycINFO, Cochrane Library, China National Knowledge Infrastructure, WanFang Data, VIP, and China Biomedical Database. Literature was included and analyzed, and the search time frame was from the establishment of the database to June 18, 2023.Results:A total of 12 articles were included. Forms of networked dyadic mindfulness-based intervention included videoconferencing, internet teleconferencing, mindfulness apps, WeChat, video and audio linking, and so on. The intervention included teaching mindfulness skills, guiding binary interactive exercises, assisting in goal decision-making, integrating individual needs of cancer patients and their caregivers, providing diversified course reminders, and repeating learning pathways. The outcome indicators involved cancer patients, caregivers, dyadic relationship, and feasibility evaluation.Conclusions:The networked dyadic mindfulness-based intervention in cancer patients and their caregivers is feasible and has certain effects. In the future, we can learn from foreign intervention programs to design intervention strategies that are suitable for China's cultural background and scientific, and further improve the effectiveness evaluation indicators to enhance the effect of intervention.