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Background: Pembrolizumab is a potentially valuable treatment. However, patients, doctors, and healthcare decision-makers are uncertain about its cost-effectiveness and an appropriate pricing for this new therapy. This study aims to appraise the cost-effectiveness of pembrolizumab as a first-line treatment for advanced biliary tract cancer (BTC) patients in China and the United States (US). Methods: A Markov model was constructed from the perspectives of healthcare systems in both China and the US for pharmacoeconomic evaluation. Patient baseline characteristics and key clinical data were sourced from the KEYNOTE-966 trial (ClinicalTrials.gov, NCT04003636). Costs and utilities were collected from drug cost websites and published literature. Cumulative costs (in USD), life years (LYs), quality-adjusted life years (QALYs), and incremental cost-effectiveness ratios (ICERs) were measured and compared. Price simulations were conducted under given willingness-to-pay (WTP) thresholds to provide pricing scheme references. The model's robustness was analyzed through one-way sensitivity analysis and probabilistic sensitivity analysis. Results: Basic data analysis illustrates that pembrolizumab ($2662.41/100 mg) in combination with chemotherapy regimen was not cost-effective relative to chemotherapy regimens at the WTP threshold of $38,201.19 in China, and the additional cost relative to chemotherapy regimens was $77,114.94 (ICER $556,689.47/QALY) while increasing 0.14 QALYs. Pembrolizumab ($54.71/1 mg) also increased efficacy by 0.14 QALYs in the US, but remained also not cost-effective at the US WTP threshold of $229,044, and the total cost increased by $160,425.24 (ICER $1,109,462.92/QALY). Conclusion: Compared with chemotherapy, pembrolizumab plus chemotherapy reduces the disease of burden. However, at its current price, it may not be a cost-effective treatment for advanced BTC in both China and the US. This study can aid decision-makers in making optimal choices.

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Low-oxygen (oxygen concentration below 18.5%) phenomena often occur in the top coal caving working face of ultrathick coal seams, posing a serious threat to the safety of workers. The characteristics of oxygen consumption and gas production at low-constant temperature and the corresponding functional group evolution of residual coal in goaf were studied by temperature-programmed and infrared spectrum experiments. The influence of different factors on the emission of low-oxygen gases was studied through numerical calculation. The results show that low-temperature oxygen consumption and gas production occurred when the coal was about 40 °C. When the temperature was constant, the oxygen consumption and gas production rate increased with the extension of time. In the early stage of coal oxidation, the aliphatic C-H components were attacked by oxygen molecules and reacted with them. The asymmetric methyl and methylene groups were more likely to oxidize and produce carbonyl compounds. With the increase of nitrogen injection, the overall width of the oxidation zone (oxygen concentration was defined as 10-18%) narrowed, and the range of the oxidation zone moved forward from the depth of the goaf. The oxygen concentration in the air return corner decreased gradually, and the low-oxygen area in the air return corner expanded gradually. The distance between the low-oxygen area of the working face and the air intake corner was gradually shortened. With the increase of air intake, the width of the oxidation zone increased and moved to the depth of goaf, and the degree of low oxygen in the air return corner increased. The research results are of great significance for the understanding and prevention of the low-oxygen phenomenon in ultrathick coal seams.

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Objective: This study aims to estimate the incidence of intimate partner violence (IPV) among women cancer survivors and identify associated factors. Methods: Using Whittemore and Knafl's integrative review method, we synthesized literature on the association between IPV and cancer in women. Results: We conducted a comprehensive search of literature published between 2003 and 2024 across eight databases, resulting in 24 English-language articles. These articles included qualitative, quantitative, and mixed-method studies. Our synthesis identified several factors influencing the relationship between IPV and cancer, including sociodemographic factors (e.g., age and income), health-related factors, lifestyle-related factors (such as life experiences and interpersonal relationships), cancer-related factors (including type and treatment), and cancer screening behaviors. Conclusions: The study highlights that various factors contribute to the prevalence of IPV among women with cancer. Particularly vulnerable are younger patients, those with lower incomes, and those with more severe disease manifestations. Healthcare professionals should assess for IPV risk during medical consultations and ensure access to appropriate support services.

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PURPOSE: To investigate the prevalence of insomnia among nurses with long COVID-19, analyze the potential risk factors and establish a nomogram model. METHODS: Nurses in Ningbo, China, were recruited for this study. General demographic information and insomnia, burnout, and stress assessment scores were collected through a face-to face questionnaire survey administered at a single center from March to May 2023. We used LASSO regression to identify potential factors contributing to insomnia. Then, a nomogram was plotted based on the model chosen to visualize the results and evaluated by receiver operating characteristic curves and calibration curves. RESULTS: A total of 437 nurses were recruited. 54% of the nurses had insomnia according to the Insomnia Severity Index (ISI) score. Eleven variables, including family structure, years of work experience, relaxation time, respiratory system sequelae, nervous system sequelae, others sequelae, attitudes toward COVID-19, sleep duration before infection, previous sleep problems, stress, and job burnout, were independently associated with insomnia. The R-squared value was 0.464, and the area under the curve was 0.866. The derived nomogram showed that neurological sequelae, stress, job burnout, sleep duration before infection, and previous sleep problems contributed the most to insomnia. The calibration curves showed significant agreement between the nomogram models and actual observations. CONCLUSION: This study focused on insomnia among nurses with long COVID-19 and identified eleven risk factors related to nurses' insomnia. A nomogram model was established to illustrate and visualize these factors, which will be instrumental in future research for identifying nurses with insomnia amid pandemic normalization and may increase awareness of the health status of healthcare workers with long COVID-19.

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Background: Renal cell carcinoma (RCC) is frequently accompanied by tumor thrombus in the venous system with an extremely dismal prognosis. The current Tumor Node Metastasis (TNM) stage and Mayo clinical classification do not appropriately identify preference-sensitive treatment. Therefore, there is an urgent need to develop a better ideal model for precision medicine. Methods: In this study, we developed a coagulation tumor thrombus signature for RCC with 10 machine-learning algorithms (101 combinations) based on a novel computational framework using multiple independent cohorts. Results: The established tumor thrombus coagulation-related risk stratification (TTCRRS) signature comprises 10 prognostic coagulation-related genes (CRGs). This signature could predict survival outcomes in public and in-house protein cohorts and showed high performance compared to 129 published signatures. Additionally, the TTCRRS signature was significantly related to some immune landscapes, immunotherapy response, and chemotherapy. Furthermore, we also screened out hub genes, transcription factors, and small compounds based on the TTCRRS signature. Meanwhile, CYP51A1 can regulate the proliferation and migration properties of RCC. Conclusions: The TTCRRS signature can complement the traditional anatomic TNM staging system and Mayo clinical stratification and provide clinicians with more therapeutic options.

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BACKGROUND: This study aimed to investigate the impact of Vitamin A (VA) on intestinal glucose metabolic phenotypes. METHODS: Male C57BL/6 mice were randomized assigned to a VA-normal diet (VAN) or a VA-deficient diet (VAD) for 12 weeks. After12 weeks, the VAD mice were given 30 IU/g/d retinol for 10 days and VAN diet (VADN) for 10 weeks. By using glucose tolerance tests, immunofluorescence staining, quantitative polymerase chain reaction, siRNA transduction, and enzyme-linked immunosorbent assay, the glucose metabolic phenotypes as well as secretory function and intracellular hormone changes of STC-1 were assessed. RESULTS: VAD mice showed a decrease of glucose-stimulated insulin secretion and a loss of intestinal glucagon-like peptide-1 (GLP-1) expression. Through reintroducing dietary VA to VAD mice, the intestinal VA levels, GLP-1 expression and normal glucose can be restored. The incubation with retinol increased VA signaling factors expression within STC-1 cells, especially retinoic acid receptor ß (RARß). The activation of RARß restored intracellular incretin hormone synthesis and secretory function. CONCLUSIONS: VA deficiency leads to an imbalance of intestinal glucose metabolic phenotypes through a mechanism involving RARß signaling pathway, suggesting a new method to achieve the treatment for VAD induced glucose metabolism impairment.

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Fate and transport of nanoplastics in aquatic environments are affected by their heteroaggregation with minerals in the presence of macromolecules. This study investigated the heteroaggregation of polystyrene nanoplastics (PSNPs) with goethite nanoparticles (GNPs) under the influence of macromolecules [humic acid (HA), bovine serum albumin (BSA), and DNA] and electrolytes. Under 1 mg C/L macromolecule, raising electrolyte concentration promoted heteroaggregation via charge screening, except that calcium bridging with HA also enhanced heteroaggregation at CaCl2 concentration above 5 mM. At all NaCl concentrations and CaCl2 concentration below 5 mM, 1 mg C/L macromolecules strongly retarded heteroaggregation, ranking BSA > DNA > HA. Raising macromolecule concentration strengthened such stabilization effect of all macromolecules in NaCl solution and that of DNA and BSA in CaCl2 solution by enhancing steric hindrance. However, 0.1 mg C/L BSA slightly promoted heteroaggregation in CaCl2 solution due to stronger electrostatic attraction than steric hindrance. In CaCl2 solution, raising HA concentration strengthened its destabilization effect via calcium bridging. Macromolecules having more compact globular structure and higher molecular weight may exert greater steric hindrance to inhibit heteroaggregation more effectively. This study provides new insights on the effects of macromolecules and electrolytes on heteroaggregation between nanoplastics and iron minerals in aquatic environments.

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Objective: The mechanism of steroidogenesis and spermatogenesis impairment in men with type 2 diabetes remains unclear. We aimed to explore the local changes of steroidogenesis and spermatogenesis in the testis of db/db mice. Research Design and Methods. We performed single-cell RNA sequencing analysis in the testis of db/db and C57BL/6J mice. The differentially expressed genes were then confirmed by real-time PCR. The histopathological characteristics of testis in db/db mice and C57BL/6J control were also performed. Results: The 20-week-old db/db mice had significantly higher blood glucose and body weight (both p < 0.001). The serum testosterone levels (4.4 ± 0.8 vs. 9.8 ± 0.7 ng/ml, p=0.001) and weight of the testis (0.16 ± 0.01 vs. 0.24 ± 0.01 g, p < 0.001) were significantly lower in db/db mice than that in C57BL/6J controls. db/db mice had a lower cross-sectional area of seminiferous tubules and thickness of the cell layer (both p < 0.05). The numbers of Sertoli cells and Leydig cells decreased in db/db mice (both p < 0.01). Single-cell RNA sequencing analysis showed that compared with the control group, the percentage of spermatogonia was significantly higher in the db/db mouse (p < 0.001), while the proportions of spermatocytes, round and elongating spermatids, and sperms were all lower in the db/db mouse (p all < 0.001). The most differentially expressed genes were found in round spermatids (n = 86), which were not found in spermatogonia, spermatocyte, and sperm. Igfbp5 was the most significantly decreased gene in Leydig cells of the db/db mouse, while the expression of Cd74, H2-Aa, and H2-Eb1 was elevated. Ccl7 and Ptgds were the most significantly increased and decreased genes in Sertoli cells of the db/db mouse. Conclusions: The present study indicates spermiogenesis and steroidogenesis defects in db/db mice. The mechanism of steroidogenesis impairment in the testis of db/db mice deserves further investigation.

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PURPOSE: This study aimed to assess the different needs of patients with breast cancer and their families in online health communities at different treatment phases using a Latent Dirichlet Allocation (LDA) model. METHODS: Using Python, breast cancer-related posts were collected from two online health communities: patient-to-patient and patient-to-doctor. After data cleaning, eligible posts were categorized based on the treatment phase. Subsequently, an LDA model identifying the distinct need-related topics for each phase of treatment, including data preprocessing and LDA topic modeling, was established. Additionally, the demographic and interactive features of the posts were manually analyzed. RESULTS: We collected 84,043 posts, of which 9504 posts were included after data cleaning. Early diagnosis and rehabilitation treatment phases had the highest and lowest number of posts, respectively. LDA identified 11 topics: three in the initial diagnosis phase and two in each of the remaining treatment phases. The topics included disease outcomes, diagnosis analysis, treatment information, and emotional support in the initial diagnosis phase; surgical options and outcomes, postoperative care, and treatment planning in the perioperative treatment phase; treatment options and costs, side effects management, and disease prognosis assessment in the non-operative treatment phase; diagnosis and treatment options, disease prognosis, and emotional support in the relapse and metastasis treatment phase; and follow-up and recurrence concerns, physical symptoms, and lifestyle adjustments in the rehabilitation treatment phase. CONCLUSION: The needs of patients with breast cancer and their families differ across various phases of cancer therapy. Therefore, specific information or emotional assistance should be tailored to each phase of treatment based on the unique needs of patients and their families.

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BACKGROUND: Bladder cancer (BCa) stands out as a prevalent and highly lethal malignancy worldwide. Chemoresistance significantly contributes to cancer recurrence and progression. Traditional Tumor Node Metastasis (TNM) stage and molecular subtypes often fail to promptly identify treatment preferences based on sensitivity. METHODS: In this study, we developed a prognostic signature for BCa with uni-Cox + LASSO + multi-Cox survival analysis in multiple independent cohorts. Six machine learning algorithms were adopted to screen out the hub gene, RAC3. IHC staining was used to validate the expression of RAC3 in BCa tumor tissue. RT-qPCR and Western blot were performed to detect and quantify the mRNA and protein levels of RAC3. CCK8, colony formation, wound healing, and flow cytometry analysis of apoptosis were employed to determine cell proliferation, migration, and apoptosis. Molecular docking was used to find small target drugs, PIK-75. 3D cell viability assay was applied to evaluate the ATP viability of bladder cancer organoids before and after PIK-75 treated. RESULTS: The established clinical prognostic model, GIRS, comprises 13 genes associated with gemcitabine resistance and immunology. This model has demonstrated robust predictive capabilities for survival outcomes across various independent public cohorts. Additionally, the GIRS signature shows significant correlations with responses to both immunotherapy and chemotherapy. Leveraging machine learning algorithms, the hub gene, RAC3, was identified, and potential upstream transcription factors were screened through database analysis. IHC results showed that RAC3 was higher expressed in GEM-resistant BCa patients. Employing molecular docking, the small molecule drug PIK-75, as binding to RAC3, was identified. Experiments on cell lines, organoids and animals validated the biological effects of PIK-75 in bladder cancer. CONCLUSIONS: The GIRS signature offers a valuable complement to the conventional anatomic TNM staging system and molecular subtype stratification in bladder cancer. The hub gene, RAC3, plays a crucial role in BCa and is significantly associated with resistance to gemcitabine. The small molecular drug, PIK-75 having the potential as a therapeutic agent in the context of gemcitabine-resistant and immune-related pathways.

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The disorders of skeletal muscle metabolism in patients with Type 2 diabetes mellitus (T2DM), such as mitochondrial defection and glucose transporters (GLUTs) translocation dysfunctions, are not uncommon. Therefore, when anti-diabetic drugs were used in various chronic diseases associated with hyperglycemia, the impact on skeletal muscle should not be ignored. However, current studies mainly focus on muscle mass rather than metabolism or functions. Anti-diabetic drugs might have a harmful or beneficial impact on skeletal muscle. In this review, we summarize the upto- date studies on the effects of anti-diabetic drugs and some natural compounds on skeletal muscle metabolism, focusing primarily on emerging data from pre-clinical to clinical studies. Given the extensive use of anti-diabetic drugs and the common sarcopenia, a better understanding of energy metabolism in skeletal muscle deserves attention in future studies.

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Objective: To retrospectively evaluate the efficacy and safety of ultrasound-guided radiofrequency ablation (RFA) in the treatment of papillary thyroid microcarcinoma (PTMC) through a follow-up study of continuous postoperative surveillance and large-sample data. Methods: The efficacy of ultrasound-guided RFA was evaluated by measuring the tumor volume reduction rate (VRR), tumor disappearance rate, and disease progression in 358 patients with low-risk unifocal PTMC who underwent ultrasound-guided RFA at Hangzhou Weja Hospital, while the safety was evaluated by measuring their complications. Results: The VRR was -745.69 ± 1012.69 (%), -150.35 ± 395.5 (%), 46.47 ± 138.74 (%), 92.95 ± 27.88 (%), 97.78 ± 10.99 (%), and 99.27 ± 3.82 (%), respectively, at 1, 3, 6, 12, 18, and 24 months after RFA. The corresponding tumor disappearance rate was 1.68%, 9.78%, 43.85%, 82.68%, 92.59%, and 95.63%, respectively. No local recurrence, new tumors, lymph node metastasis, distant metastasis, and deaths caused by recurrent/metastatic PTMC were found at the last follow-up. Except for 3 cases (0.84%) with thickening or hoarseness of voice and 3 cases (0.84%) with coughing during drinking water, no other complications were found. Conclusions: Ultrasound-guided RFA has good efficacy and safety for the treatment of low-risk unifocal PTMC and can be promoted for use in patients who meet the required indications.

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PURPOSE: Children with leukemia may experience a range of chemotherapy-related symptoms. Identifying subgroups and their distinct characteristics of symptoms may improve symptom management. We aimed to identify subgroups and their distinct characteristics of chemotherapy-related symptoms in children with leukemia. METHODS: A cross-sectional survey was conducted among 500 children with leukemia, who completed questionnaires that assessed their demographic and clinical characteristics, as well as the Memorial Symptom Assessment Scale. Latent profile analysis was conducted to identify subgroups of symptoms. Additionally, multiple regression analysis and network analysis were utilized to reveal the characteristics of each subgroup. RESULTS: Four subgroups were identified: "Profile 1: low symptom burden subgroup" (26.2%), "Profile 2: moderate symptom burden subgroup in transitional period" (14.8%), "Profile 3: moderate psychological symptom burden subgroup" (35.6%), and "Profile 4: high symptom burden subgroup" (23.4%). Multiple logistic regression analysis indicated that lower primary caregiver's education level, lower family monthly income, self-paid medical expenses, induction remission period, and consolidation enhancement period were associated with more severe symptoms of subgroups. Network analysis further revealed that nausea was the core symptom in Profiles 1 and 2, while the core symptom in Profile 3 was "I don't look like myself." Additionally, worrying was the core symptom in Profile 4. CONCLUSION: There exists heterogeneity in chemotherapy-related symptoms. Four subgroups and their corresponding characteristics of children with varying symptom severity were identified. Identifying these subgroups will facilitate personalized care, maximize intervention effectiveness, and alleviate symptom burden.

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BACKGROUND: We aimed to unbiasedly map the genetic mutation profile of HNSC and CESC associated with HPV status in the Chinese population (SYSU-cohort) and compare them with Western population (TCGA-cohort). METHODS: Fifty-one HNSC patients (SYSU-HNSC) and 38 CESC patients (SYSU-CESC) were enrolled in this study. Genomic alterations were examined, and the profile was produced using the YuanSuTM450 gene panel (OrigiMed, Shanghai, China). The altered genes were inferred and compared to Western patients from TCGA cohorts. RESULTS: Compared to the TCGA-HNSC cohort, FGFR3 mutation was identified as a novel target in SYSU-HNSC with therapeutic potential. Compared to the TCGA-CESC cohort, some epigenetic regulation-associated genes were frequently mutated in SYSU-CESC cohort (KMT2C, KMT2D, KDM5C, KMT2A). CONCLUSION: In summary, our study provides unbiased insights into the genetic landscape of HNSC and CESC in the Chinese population and highlights potential novel therapeutic targets that may benefit Chinese patients.

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Objective: This study aimed to examine the psychometric properties of the Chinese version of the Patient-Reported Outcome Measurement Information System (PROMIS)-Cancer-Anxiety item bank using a graded response model in a sample of patients with cancer. Methods: A cross-sectional study was conducted and the Chinese version of the PROMIS-Cancer-Anxiety item bank was used to measure anxiety in patients with cancer. The unidimensional structure of the item bank was evaluated using principal component analysis. Residual correlations and the graphs of item mean scores conditional on the rest scores were examined to evaluate the local independence and monotonicity of the items, respectively. Item characteristics were described using item parameter estimates and item information. Operating characteristic curves (OCCs) and test information curve (TIC) were also plotted. Measurement invariance across age, gender, and education level was assessed to identify possible differential item functioning (DIF). Results: A total of 1075 patients with cancer were enrolled. Under the assumptions of unidimensionality, local independence, and monotonicity, the discrimination parameters a ranged from 2.30 to 5.47, and the threshold parameters b ranged from b1 = -2.87 to b4 = 3.21 with proper intervals. Completely overlapped category curves were not observed among the OCCs of any items. Item information and TIC showed that the item bank had a wide measurement range. The DIFs for age, gender, and education level for all items were not remarkable. Conclusions: The results supported using the Chinese version of the PROMIS-Cancer-Anxiety item bank to measure anxiety and develop a computerized adaptive testing (CAT) system for anxiety in patients with cancer.

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AIM: To identify subtypes of competence in managing workplace violence (WPV) among nursing interns and to assess between-group differences. BACKGROUND: Nursing interns are reported to be a vulnerable population for experiencing workplace violence during their clinical placement. Although WPV could have a negative impact on nursing interns' health and attitudes towards the nursing profession, little is known about nursing interns' competence in workplace violence management or its influencing factors. DESIGN: A cross-sectional study. METHODS: Between March to April 2023, nursing interns at three tertiary general hospitals in Anhui Province, China, completed questionnaires including a general information questionnaire, the Management of Workplace Violence Competence Scale (MWVCS), the Utrecht Work Engagement Scale (UWES-9), the Emotional Labour Scale for Nurses (ELSN) and were classified into subtypes by latent class analysis. Subsequently, univariate analysis and multivariate logistic regression were performed to identify the influencing factors by subtypes. RESULTS: A total of 264 questionnaires were valid and the overall mean age of the participants was 21.06 ±1.41 years. Four classes were identified: low competency group (15.5%), low cognition-low coping competency group (18.2%), low cognition-medium to high competency group (21.6%) and high competency group (44.7%). The results of multinomial logistic regression analysis showed that placement hospitals with a WPV management department, emotional control effort in profession dimension and emotional pretense by norms dimension in the Emotional Labour Scale for Nurses, pursuing further education and vigour dimension in the Utrecht Work Engagement Scale were influencing factors of the potential categories of WPV management competence. CONCLUSIONS: Four classes were identified and there was competence variability among nursing interns. More attention should be given to nursing interns who did not receive WPV-related training in their school or placement hospital.

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OBJECTIVE: This study aimed to analyze the risk factors for the occurrence of postoperative hyperactive delirium after laparoscopic radical gastrectomy under general anesthesia in patients with gastric cancer. METHODS: The clinical data of 280 gastric cancer patients who underwent laparoscopic radical gastrectomy under general anesthesia in First Affiliated Hospital of Gannan Medical University from January 2020 to June 2023 were retrospectively analyzed, and the types and incidence of postoperative delirium were recorded. The factors influencing the occurrence of postoperative hyperactive delirium were analyzed. RESULTS: Multi-factor logistic regression analysis showed that older age, high dosage of anesthetic drug consumption, high American Society of Anesthesiologists (ASA) classification (or ASA grade 3-4), long Post-anesthesia Care Unit (PACU) stay, and long extubation time were independent risk factors for the occurrence of hyperactive delirium after laparoscopic radical gastrectomy (OR > 1, P < 0.05). The area under the curve of the nomogram was used to predict the occurrence of hyperactive delirium after laparoscopic radical gastrectomy under general anesthesia was 0.903 (95% CI: 0.846-0.978). CONCLUSION: Older age, high dosage of anesthetic drug consumption, high ASA classification (or ASA grade 3-4), long PACU stay, and long extubation time were independent risk factors affecting the occurrence of hyperactive delirium after laparoscopic radical gastrectomy under general anesthesia.

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BACKGROUND: Immune cell heterogenicity is known to determine the therapeutic response to cancer progression. Neoadjuvant chemoimmunotherapy (NACI) has shown clinical benefits in some patients with advanced head and neck squamous cell carcinoma (HNSCC), but the underlying mechanism behind this clinical response is unknown. The efficacy of NACI needs to be potentiated by identifying accurate biomarkers to predict clinical responses. Here, we attempted to identify molecules predicting NACI response in advanced HNSCC. METHODS: We performed combined single-cell RNA sequencing (scRNA-seq) and multiplex immunofluorescence (mIHC) staining with tumor samples derived from NACI-treated HNSCC patients to identify a new tumor-infiltrating cell (TIL) subtype, CD103+ CD8+ TILs, associated with clinical response, while both in vitro and in vivo assays were carried out to determine its antitumor efficiency. The regulatory mechanism of the CD103+ CD8+ TILs population was examined by performing cell-cell interaction analysis of the scRNA-seq data and spatial analysis of the mIHC images. RESULTS: We established intratumoral CD103+ CD8+ TILs density as a determinant of NACI efficacy in cancers. Our scRNA-seq results indicated that the population of CD103+ CD8+ TILs was dramatically increased in the responders of NACI-treated HNSCC patients, while mIHC analysis confirmed the correlation between intratumoral CD103+ CD8+ TILs density and NACI efficacy in HNSCC patients. Further receiver operating characteristic curve analysis defined this TIL subset as a potent marker to predict patient response to NACI. Functional assays showed that CD103+ CD8+ TILs were tumor-reactive T cells, while programmed cell death protein-1 (PD-1) blockade enhanced CD103+ CD8+ TILs cytotoxicity against tumor growth in vivo. Mechanistically, targeting the triggering receptor expressed on myeloid cells 2-positive (TREM2+ ) macrophages might enhance the population of CD103+ CD8+ TILs and facilitate antitumor immunity during NACI treatment. CONCLUSIONS: Our study highlights the impact of intratumoral CD103+ CD8+ TILs density on NACI efficacy in different cancers, while the efforts to elevate its population warrant further clinical investigation.

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Objective: To investigate the clinical effects of HBV infection on patients with rheumatoid arthritis (RA) and systemic lupus erythematosus (SLE). Methods: This is a prospective study. Thirty patients with RA and 30 patients with SLE admitted to Affiliated Hospital of Hebei University from January 2020 to December 2021 with co-infection of HBV were randomly selected and divided into two groups. Both groups were given anti-HBV treatment. An additional 60 patients with a healthy physical examination during the same period were also selected as a control group. The disease activity, immune function and serum inflammatory factor levels were compared between the RA group and the SLE group before and after treatment. Results: After anti-HBV treatment, DAS scores in the RA group and SLEDAI scores in the SLE group were significantly lower than before treatment(P<0.05). The levels of IgG, IgA, IgM and CD8+ in the RA group and the SLE group after treatment were significantly lower than those before treatment. The levels of CCP, RF, ESR and CRP in the RA group before and after treatment were higher than those in the control group(P<0.05). The levels of ESR and CRP in the SLE group before and after treatment were higher than those in the control group, with statistically significant differences(P<0.05). Conclusion: Patients in the RA and SLE groups after HBV infection have an increased degree of inflammatory response in their organism, an altered normal state of immunoglobulin and T-lymphocyte subsets, and a loss of organism immune function, leading to an increase in disease activity.

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BACKGROUND: Fatigue is the most frequent and distressing symptom affecting the physical, cognitive, and affective domains of breast cancer patients. The Functional Assessment of Chronic Illness Therapy-Fatigue (FACIT-F) has been widely used in patients with chronic diseases and has shown satisfactory reliability and validity. This study aimed to examine the psychometric properties of the FACIT-F among Chinese patients with breast cancer. METHODS: Using a convenience sampling method, a cross-sectional survey (January 2020 and September 2022) was used with patients recruited from two tertiary hospitals in Shanghai, Mainland China, and a total of 597 patients completed a demographic information questionnaire, the FACIT-F and the Functional Assessment of Cancer Therapy for Breast Cancer (FACT-B). Convergent validity was estimated by calculating the Pearson correlation coefficient of the FACIT-F with the FACT-B. Measurement invariance across age was performed by examining differential item functioning (DIF) across age groups (≤ 60 and > 60 years). The internal consistency and split-half reliability were performed for reliability analysis. Unidimensionality of the scale was evaluated by the principal component analysis by Rasch analysis. Additionally, Rasch analysis was performed for item difficulty levels, and an item-person map was used. RESULTS: No floor/ceiling effects were observed for the FACIT-F. Moderate correlations were found between FACIT-F and FACT-B (r = - 0.342, p < 0.01). Most items showed an absence of DIF regarding age, except for one item. In addition, the FACIT-F showed acceptable internal consistency. Principal component analysis of Rasch residuals showed that the proportion of variance explained by the FACIT-F was 53.3%, and the outfit mean square statistics for the items ranged from 0.68 to 1.90 and the infit MNSQ from 0.63 to 1.73. Additionally, an acceptable response between items and persons was found. CONCLUSIONS: The findings indicate that the Chinese version of the FACIT-F is a valid tool for the measurement of fatigue in breast cancer patients.

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