White adipocytes in subcutaneous fat depots require KLF15 for maintenance in preclinical models.

Healthy adipose tissue is essential for normal physiology. There are 2 broad types of adipose tissue depots: brown adipose tissue (BAT), which contains adipocytes poised to burn energy through thermogenesis, and white adipose tissue (WAT), which contains adipocytes that store lipids. However, within those types of adipose, adipocytes possess depot and cell-specific properties that have important implications. For example, the subcutaneous and visceral WAT confers divergent risk for metabolic disease. Further, within a depot, different adipocytes can have distinct properties; subcutaneous WAT can contain adipocytes with either white or brown-like (beige) adipocyte properties. However, the pathways that regulate and maintain this cell and depot-specificity are incompletely understood. Here, we found that the transcription factor KLF15 is required for maintaining white adipocyte properties selectively within the subcutaneous WAT. We revealed that deletion of Klf15 is sufficient to induce beige adipocyte properties and that KLF15's direct regulation of Adrb1 is a critical molecular mechanism for this process. We uncovered that this activity is cell autonomous but has systemic implications in mouse models and is conserved in primary human adipose cells. Our results elucidate a pathway for depot-specific maintenance of white adipocyte properties that could enable the development of therapies for obesity and associated diseases.

FOXN2, identified as a novel biomarker in serum, modulates the transforming growth factor-beta signaling pathway through its interaction with partitioning defective 6 homolog alpha, contributing to the pathogenesis of gastric cancer.

BACKGROUND AND OBJECTIVE: Dysregulated expression of Forkhead Box N2 (FOXN2) has been detected in various cancer types. However, the underlying mechanisms by which FOXN2 contributes to the onset and progression of gastric cancer (GC) remain largely unexplored. This study aimed to elucidate the potential role of FOXN2 within GC, its downstream molecular mechanisms, and its feasibility as a novel serum biomarker for GC. METHODS: Tissue samples from GC patients and corresponding non-cancerous tissues were collected. Peripheral blood samples were obtained from GC patients and healthy controls. The expression of FOXN2 was determined using quantitative real-time PCR, western blotting, and immunohistochemistry. The expression of FOXN2 in GC cells was modulated by transfection with small interfering RNA (siRNA) or the pcDNA 3.1 expression vector. Cell proliferation was assessed using the Cell Counting Kit-8 and 5-ethynyl-2'-deoxyuridine incorporation assays. The migratory and invasive capacities of cells were evaluated by Transwell assays, apoptosis rates were measured by flow cytometry, and the expression of proliferative, apoptotic, and epithelial-mesenchymal transition (EMT) markers were assessed by western blot analysis. RESULTS: FOXN2 was found to be overexpressed in the serum, tissues, and cells of GC, correlating with distant metastasis and TNM staging. FOXN2 demonstrated diagnostic value in differentiating GC patients from healthy individuals, with higher levels of FOXN2 being indicative of poorer survival rates. Silencing FOXN2 in vitro inhibited the proliferation, invasion, migration, and EMT of GC cells, while promoting apoptosis. FOXN2 was shown to regulate the transforming growth factor-beta (TGFß) receptor signaling pathway in GC cells via its interaction with Partitioning Defective 6 Homolog Alpha (PARD6A). CONCLUSION: In summary, our data suggest that FOXN2 acts as an oncogenic factor in GC, modulating the TGFß pathway by binding to PARD6A, thereby influencing gastric carcinogenesis. This study underscores the functional significance of FOXN2 as a potential serum biomarker and therapeutic target in GC.

Transcriptome-metabolome reveals the molecular changes in meat production and quality in the hybrid populations of Sichuan white goose.

Hybrid breeding has proven to enhance meat quality and is extensively utilized in goose breeding. Nevertheless, there is a paucity of research investigating the molecular mechanisms that underlie the meat quality of hybrid geese. In this study, we employed the Sichuan White Goose as the maternal line for hybridization with the Zhedong White Goose and Tianfu Meat Goose P3 line. We assessed the growth and slaughter meat quality performance of 10-wk-old hybrid offspring in comparison to Sichuan white goose purebred offspring. The results indicate that hybrid geese have significantly improved performance in growth and slaughter meat quality. Furthermore, we conducted a comprehensive analysis of the chest muscles of hybrid offspring through transcriptomics and metabolomics to unravel the effects of hybrid breeding on growth and meat quality. A total of 673 differentially expressed genes (DEGs), and 93 differentially expressed metabolites were identified. The joint analysis highlighted the significant enrichment of DEGs AMPD1, AMPD3, RRM2, ENTPD3, and the metabolite UMP in the nucleotide metabolism pathway. These findings underscore the crucial role of these genetic and metabolic factors in regulating muscle growth and meat quality in hybrid populations.

Identification of candidate genes associated with primary feathers of tianfu nonghua ducks based on Genome-wide association studies.

The primary feathers of ducks have important economic value in the poultry industry. This study quantified the primary feather phenotype of Nonghua ducks, including the primary feathers' length, area, distribution of black spots, and feather symmetry. And genome-wide association analysis was used to screen candidate genes that affect the primary feather traits. The genome-wide association study (GWAS) results identified the genetic region related to feather length (FL) on chromosome 2. Through Linkage disequilibrium (LD) analysis, candidate regions (chr2: 115,246,393-116,501,448 bp) were identified and were further annotated to 5 genes: MRS2, GPLD1, ALDH5A1, KIAA0319, and ATP9B. Secondly, candidate regions related to feather black spots were identified on chromosome 21. Through LD analysis, the candidate regions (chr21: 163,552-2,183,853 bp) were screened and further annotated to 47 genes. Among them, STK4, CCN5, and YWHAB genes were related to melanin-related pathways or pigment deposition, which may be key genes affecting the distribution of black spots on feathers. In addition, we also screened 125 genes on multiple chromosomes that may be related to feather symmetry. Among them, significant SNPs on chromosome 1 were further identified as candidate regions (chr1: 142,118,209-142,223,605 bp) through LD analysis and annotated into 2 genes, TGFBRAP1 and LOC113839965. These results reported the genetic basis of the primary feather from multiple phenotypes, and offered valuable insights into the genetic basis for the growth and development of duck feathers and feather color pattern.

Internet use and frailty in middle-aged and older adults: findings from developed and developing countries.

BACKGROUND: With increasing trend of internet use in all age groups, whether internet use can prevent frailty in middle-aged and older adults remains unclear. METHODS: Five cohorts, including Health and Retirement Study (HRS), China Health and Retirement Longitudinal Study (CHARLS), the Survey of Health, Ageing and Retirement in Europe (SHARE), English Longitudinal Study of Aging (ELSA), and Mexican Health and Aging Study (MHAS), were used in this study. Internet use, social isolation, and frailty status was assessed using similar questions. The Generalized estimating equations models, random effects meta-analysis, COX regression, and mediation analysis were utilized. RESULTS: In the multicohort study, a total of 155,695 participants were included in main analysis. The proportion of internet use was varied across countries, ranging from 5.56% in China (CHARLS) to 83.46% in Denmark (SHARE). According to the generalized estimating equations models and meta-analysis, internet use was inversely associated with frailty, with the pooled ORs (95%CIs) of 0.72 (0.67,0.79). The COX regression also showed that participants with internet use had a lower risk of frailty incidence. Additionally, the association was partially mediated by social isolation and slightly pronounced in participants aged 65 and over, male, not working for payment, not married or partnered, not smoking, drinking, and not co-residence with children. CONCLUSIONS: Our findings highlight the important role of internet use in preventing frailty and recommend more engagements in social communication and activities to avoid social isolation among middle-aged and older adults.

Multi-level sequence denoising with cross-signal contrastive learning for sequential recommendation.

Sequential recommender systems (SRSs) aim to suggest next item for a user based on her historical interaction sequences. Recently, many research efforts have been devoted to attenuate the influence of noisy items in sequences by either assigning them with lower attention weights or discarding them directly. The major limitation of these methods is that the former would still prone to overfit noisy items while the latter may overlook informative items. To the end, in this paper, we propose a novel model named Multi-level Sequence Denoising with Cross-signal Contrastive Learning (MSDCCL) for sequential recommendation. To be specific, we first introduce a target-aware user interest extractor to simultaneously capture users' long and short term interest with the guidance of target items. Then, we develop a multi-level sequence denoising module to alleviate the impact of noisy items by employing both soft and hard signal denoising strategies. Additionally, we extend existing curriculum learning by simulating the learning pattern of human beings. It is worth noting that our proposed model can be seamlessly integrated with a majority of existing recommendation models and significantly boost their effectiveness. Experimental studies on five public datasets are conducted and the results demonstrate that the proposed MSDCCL is superior to the state-of-the-art baselines. The source code is publicly available at https://github.com/lalunex/MSDCCL/tree/main.

YTH domain family protein 3 accelerates non-small cell lung cancer immune evasion through targeting CD8+ T lymphocytes.

Immune evasion is one of the critical hallmarks of malignant tumors, especially non-small cell lung cancer (NSCLC). Emerging findings have illustrated the roles of N6-methyladenosine (m6A) on NSCLC immune evasion. Here, this study investigated the function and underlying mechanism of m6A reader YTH domain family protein 3 (YTHDF3) on NSCLC immune evasion. YTHDF3 was found to be highly expressed in NSCLC tissue and act as an independent prognostic factor for overall survival. Functionally, up-regulation of YTHDF3 impaired the CD8+ T antitumor activity to deteriorate NSCLC immune evasion, while YTHDF3 silencing recovered the CD8+ T antitumor activity to inhibit immune evasion. Besides, YTHDF3 up-regulation reduced the apoptosis of NSCLC cells. Mechanistically, PD-L1 acted as the downstream target for YTHDF3, and YTHDF3 could upregulate the transcription stability of PD-L1 mRNA. Overall, YTHDF3 targeted PD-L1 to promote NSCLC immune evasion partially through escaping effector cell cytotoxicity CD8+ T mediated killing and antitumor immunity. In summary, this study provides an essential insight for m6A modification on CD8+ T cell-mediated antitumor immunity in NSCLC, which might inspire an innovation for lung cancer tumor immunotherapy.

The Barrier Disruption and Pyroptosis of Intestinal Epithelial Cells Caused by Perfringolysin O (PFO) from Clostridium perfringens.

Clostridium perfringens (C. perfringens), a Gram-positive bacterium, produces a variety of toxins and extracellular enzymes that can lead to disease in both humans and animals. Common symptoms include abdominal swelling, diarrhea, and intestinal inflammation. Severe cases can result in complications like intestinal hemorrhage, edema, and even death. The primary toxins contributing to morbidity in C. perfringens-infected intestines are CPA, CPB, CPB2, CPE, and PFO. Amongst these, CPB, CPB2, and CPE are implicated in apoptosis development, while CPA is associated with cell death, increased intracellular ROS levels, and the release of the inflammatory factor IL-18. However, the exact mechanism by which PFO toxins exert their effects in the infected gut is still unidentified. This study demonstrates that a C. perfringens PFO toxin infection disrupts the intestinal epithelial barrier function through in vitro and in vivo models. This study emphasizes the notable influence of PFO toxins on intestinal barrier integrity in the context of C. perfringens infections. It reveals that PFO toxins increase ROS production by causing mitochondrial damage, triggering pyroptosis in IPEC-J2 cells, and consequently resulting in compromised intestinal barrier function. These results offer a scientific foundation for developing preventive and therapeutic approaches against C. perfringens infections.

Multiple myeloma with secondary amyloidosis: Dysphagia as the first symptom: A case report.

RATIONALE: Multiple myeloma (MM) with secondary amyloidosis (AL) is a rare clonal plasma cell proliferation disease, which causes dysfunction of multiple organs and tissues. We report a case of dysphagia as the first symptom in a patient with MM and secondary AL. PATIENT CONCERNS: The patient was a 73-year-old female, was admitted to our hospital, because of progressive dysphagia for 4 months and limb weakness for 1 month. DIAGNOSES: The bone marrow smear and pathology diagnosis revealed the presence of MM, while the biceps myopathy diagnosis indicated AL. INTERVENTIONS: The VCD regimen consisted of bortezomib at a dosage of 1.9 mg on days 1, 8, 15, and 22, cyclophosphamide 0.4 g on days 1, 8, and 15, and dexamethasone at a dosage of 40 mg on days 1, 8, 15, and 22. The patient simultaneously received comprehensive treatment including anti-infective therapy, enhanced cardiac function, and nutritional support. OUTCOMES: The M protein in the blood and urine protein were negative, indicating a reduction in bone marrow plasma cells to 2%. Flow cytometric analysis revealed a minimal percentage 0.04%. As a result, complete remission was achieved. LESSONS: The clinical manifestations of MM exhibit a wide range, with the symptoms of secondary injury causing significant disturbing, while the atypical symptoms of extramedullary manifestations pose challenges in diagnosing the disease.

CDK5 Upregulated by ELF3 Transcription Promotes IL-1ß-induced Inflammation and Extracellular Matrix Degradation in Human Chondrocytes.

Osteoarthritis (OA) is a common chronic disease with age-associated increase in both incidence and prevalence. The cyclin-dependent kinase 5 (CDK5), which is a member of the CDK family, is involved in many chronic diseases. This study was performed to explore the functional role of CDK5 in OA and to discuss the detailed molecular mechanisms. The expressions of CDK5 and ELF3 before or after transfection were detected with reverse transcription-quantitative PCR (RT-qPCR) and western blot. 5-ethynyl-2'-deoxyuridine (Edu) and terminal deoxynucleoitidyl transferase-mediated nick-end labeling (TUNEL) assays were used to detect the proliferation and apoptosis of C28/I2 cells. The levels of inflammatory cytokines were estimated using enzyme-linked immunosorbent assay (ELISA) while the expressions of proteins implicated in extracellular matrix (ECM) degradation- and apoptosis were detected using western blot. Additionally, the activity of CDK5 promoters and its binding with ELF3 were detected using luciferase activity assay and chromatin immunoprecipitation (CHIP) assay. In the present study, it was discovered that the mRNA and protein expressions of CDK5 were significantly increased in IL-1ß-induced C28/I2 cells. After depleting CDK5 expression, the apoptosis, inflammation and ECM in C28/I2 cells with IL-1ß induction were suppressed. It was also found that ELF3 expression was increased in IL-1ß-induced C28/I2 cells and acted as a transcription factor binding to the CDK5 promoter to regulate its transcriptional expression. The further experiments evidenced that ELF3 overexpression partially reversed the inhibitory effects of CDK5 deficiency on IL-1ß-induced apoptosis, inflammation and ECM in C28/I2 cells. Collectively, CDK5 that upregulated by ELF3 transcription could promote the development of OA.

Effect of force direction and impaction angulation during dilaceration impacted central incisor traction: a finite element analysis.

BACKGROUND: The effects of traction forces at different angles on impacted central incisors(ICI)with varying inverted angles (IA) may be different. The objective of this study was to analyze the biomechanical effects of different force directions (FD) on developmentally inverted ICI with multi-angle variations and to offer insights and guidance for the treatment of inverted ICI. METHODS: Three-dimensional finite element method was employed to simulate clinical scenarios of inverted ICI traction. As such, 0.2 N of force (direction: antero-superior angles of 90°, 100°, 110°, 120°, and 130° relative to the long axis of the inverted ICI crown) was applied to the inverted ICI with inverse angles (IA) of 40°, 30°, 20°, 10° and 0°. Inverted ICI apical displacement and Von Mises stress on periodontal ligament (PDL) and alveolar bone were compared. RESULTS: IA and FD showed minimal influence on the stress distribution in the PDL, as higher stresses were concentrated in the apical region. The higher stresses in the alveolar bone are focused on the cervical and apical regions of the tooth. In particular, IA exerts a more significant impact on stress distribution in the alveolar bone than FD. The influence of IA on the apical displacement of inverted ICI is larger than that of FD. CONCLUSIONS: To promote the health of the root and periodontal tissues, it is recommended to use an angle of 100°-110° relative to the long axis of the ICI crown when dealing with a large IA (> 20°) developmentally inverted ICI. Conversely, an angle of 110°-120° can be used.

Bio-based microplastic polylactic acid exerts the similar toxic effects to traditional petroleum-based microplastic polystyrene in mussels.

Microplastics (MPs) have accumulated in the oceans, causing adverse effects on marine organisms and the environment. Biodegradable polylactic acid (PLA) is considered as an excellent substitute for traditional petroleum-based plastics, but it is difficult to degrade completely and easily become MPs in the marine environment. To test the ecological risk of bio-based PLA, we exposed thick-shelled mussels (Mytilus coruscus) to bio-based PLA and petroleum-based polystyrene (PS) (at 102, 104, and 106 particles/L) for 14 days. The significant increase in enzyme activities related to oxidative stress and immune response showed that mussels were under physiological stress after MP ingestion. While enzyme activities of nerve conduction and energy metabolism were significantly disturbed after exposure. Meanwhile, normal physiological activities in respiration, ingestion and assimilation were also suppressed in association with enzyme changes. The negative effects of PS and PLA in mussels were not differentiated, and further integration analysis of integrated biomarker response (IBR) and principal component analysis (PCA) also showed that PLA would induce adverse effects in mussels and ecological risks as PS, especially at environmental concentrations. Therefore, it is necessary to pay more attention to the environmental and ecological risk of bio-based MP PLA accumulating in the marine environment.

Improved Dual Correlation Reduction Network With Affinity Recovery.

Deep graph clustering, which aims to reveal the underlying graph structure and divide the nodes into different clusters without human annotations, is a fundamental yet challenging task. However, we observe that the existing methods suffer from the representation collapse problem and tend to encode samples with different classes into the same latent embedding. Consequently, the discriminative capability of nodes is limited, resulting in suboptimal clustering performance. To address this problem, we propose a novel deep graph clustering algorithm termed improved dual correlation reduction network (IDCRN) through improving the discriminative capability of samples. Specifically, by approximating the cross-view feature correlation matrix to an identity matrix, we reduce the redundancy between different dimensions of features, thus improving the discriminative capability of the latent space explicitly. Meanwhile, the cross-view sample correlation matrix is forced to approximate the designed clustering-refined adjacency matrix to guide the learned latent representation to recover the affinity matrix even across views, thus enhancing the discriminative capability of features implicitly. Moreover, we avoid the collapsed representation caused by the oversmoothing issue in graph convolutional networks (GCNs) through an introduced propagation regularization term, enabling IDCRN to capture the long-range information with the shallow network structure. Extensive experimental results on six benchmarks have demonstrated the effectiveness and efficiency of IDCRN compared with the existing state-of-the-art deep graph clustering algorithms. The code of IDCRN is released at https://github.com/yueliu1999/IDCRN. Besides, we share a collection of deep graph clustering, including papers, codes, and datasets at https://github.com/yueliu1999/Awesome-Deep-Graph-Clustering.

Recent advances in photoluminescent fluorescent probe technology for food flavor compounds analysis.

The real-time, precise qualitative and quantitative sensing of food flavor compounds is crucial for ensuring food safety, quality, and consumer acceptance. As indicators for food flavor labeling, it is vital to delve deep into the specific ingredient and content of food flavor compounds to assess the food flavor quality, but still facing huge challenges. Photoluminescent fluorescent probe technology, with fast detection and high sensitivity, has shown immense potentials in detecting food flavor compounds. In this review, the classification and optical sensing mechanism of photoluminescent fluorescent probe technology are described in detail. Besides, challenges in applying photoluminescent fluorescent probe technology to analyze food flavor compounds are outlined to indicate future research directions. We hope this review can provide an insight for the applications of photoluminescent fluorescent probe technology in the evaluation of food flavor quality in future.

A protocol for a multidisciplinary early intervention during chemotherapy to improve dietary management behavior in breast cancer patients: a two-arm, single-center randomized controlled trial.

BACKGROUND: Adverse reactions are prone to occur in the early stage of chemotherapy and can negatively affect the dietary intake and nutritional status of breast cancer (BC) patients. Consequently, they need to participate in health self-management and lifestyle promotion programs. Early multidisciplinary interventions aim to enhance dietary management behavior and quality of life in chemotherapy-treated BC patients. METHODS: This single-blinded, single-center, randomized controlled trial will include 88 females who have not yet started the early or middle stage of the chemotherapy cycle. A random number table will be used randomly assign females to the intervention group or usual group at a 1:1 ratio. The intervention elements are based on the theoretical guidance of the Integrated Theory of Health Behavior Change (ITHBC). A multidisciplinary team (MDT) comprising oncologists, dietitians, nurses, traditional Chinese medicine (TCM) practitioners, and psychologists will provide the intervention. Intervention sessions will be conducted once a week for 8 weeks, beginning in the early or middle stage of the chemotherapy cycle and continuing through admission and a home-based interval chemotherapy period. The intervention includes face-to-face discussions, online meetings, WeChat messaging, and telephone calls. The themes target adverse reactions, dietary information and habits, self-care self-efficacy, treatment self-regulation, dietary supplement and TCM use, social support, weight management, and outcome expectations. The primary outcome is dietary management behavior measured by the Dietary Management Behavior Questionnaire (DMBQ). Secondary outcomes are self-care self-efficacy assessed by the Strategies Used by People to Promote Health (SUPPH); quality of life measured by the Functional Assessment of Cancer Therapy-Breast (FACT-B); and body mass index (BMI) measured by an electronic meter. All participants will be assessed at baseline and immediately, 1 month, 3 months, 6 months, and 12 months after the intervention. DISCUSSION: Early dietary intervention is needed, as diet is one of the most common health self-management behaviors influenced by chemotherapy. Early multidisciplinary interventions may provide a foundation for dietary self-management and improve nutritional status in the survival period. TRIAL REGISTRATION: This intervention protocol was registered with the Chinese Clinical Trials Registry (ChiCTR2300076503, October 10, 2023).

Co-expression of CD44v6 and MMP2 predicts lung metastasis and unfavorable prognosis in osteosarcoma.

Aim: To evaluate the prognostic significance of CD44 variant v6 (CD44v6) and matrix metalloproteinases 2 (MMP2) expression in patients with surgically resected osteosarcoma. Methods: CD44v6 and MMP2 expression were immunohistochemically detected in 113 primary osteosarcoma patients at our institute between 2001 and 2019. Results: Both CD44v6 and MMP2 were independent predictors for metastasis-free and overall survival. An extended predictive range and improved sensitivity were observed when the combined effects of CD44v6 and MMP2 were considered. Specifically, patients with CD44v6+ and MMP2+ expression were more susceptible to lung metastasis and exhibited the poorest survival rates compared with the other groups. Conclusion: The combination of CD44v6 and MMP2 may serve as a precise prognostic indicator for predicting metastatic progression and survival outcomes in patients with osteosarcoma.

The most common type of bone cancer in children, teens and young adults is osteosarcoma, which often spreads to the lungs. With proper chemotherapy and surgery, many patients can recover, but if the diagnosis and treatment process go wrong, it could have serious consequences. The most common symptoms of osteosarcoma in its early stages are pain and swelling. The pain usually comes and goes, which can be easily mistaken for growing pains, resulting in a delayed diagnosis. In patients with metastatic (cancer cells spreading from the primary site to other parts of the body) osteosarcoma, the number of metastatic sites and whether they can be completely removed through surgery are factors that affect prognosis. So, starting appropriate treatment early for patients could effectively reduce tumor spread and increase survival time.

Risk factors for the outcome and prognosis of multiple myeloma patients with pathological fractures undergoing percutaneous vertebroplasty.

This study focuses on the clinical features affecting the outcome and prognosis of multiple myeloma (MM) associated with spinal fractures. We retrospectively analyzed the clinical data of 194 MM patients with pathologic thoracic or lumbar spine fractures admitted to Dongying People's Hospital from April 2005 to February 2021. Patients were categorized into effective and ineffective groups based on post-treatment pain scores and mobility to analyze the influencing factors on the efficacy. Univariate analysis showed that age ≥60 years, number of vertebral fractures ≥2, and conservative treatment were associated with the outcomes. The number of vertebral fractures ≥2 (OR=2.198, P=0.034) and conservative treatment (OR=1.685, P=0.012) were identified as independent risk factors. In addition, survival curves were depicted using the Kaplan-Meier method, and independent risk factors affecting 2-year survival included efficacy (HR=17.924, P<0.001), age (HR=3.544, P=0.003) and International Staging System staging (HR=10.770, P=0.001). Finally, we constructed a high-accuracy prognostic model for predicting 2-year survival of MM patients with pathologic fractures (AUC=0.756). In conclusion, this study identified independent risk factors affecting the outcome and survival of MM patients with morbid fractures by systematically analyzing clinical characteristics and constructing a survival prediction model, thus providing effective guideline for clinical treatment.

PDK3 drives colorectal carcinogenesis and immune evasion and is a therapeutic target for boosting immunotherapy.

Pyruvate Dehydrogenase Kinase 3 (PDK3) has emerged as a significant player in various cancer types, yet its specific impact on cancers including colon cancer remains ambiguous. Through pan-cancer analysis using TCGA data, we found that the expression of PDK3 and the composition of the immune microenvironment for different tumors were highly heterogeneous across tumors. PDK3 is highly expressed in colorectal cancer and may promote tumor proliferation by activating PI3K-AKT signaling. In addition, we found that PDK3 was able to inhibit tumor antigen presentation signals to suppress immune killing. High PDK3 expression predicts less CD8+ T cell infiltration and effector function. Moreover, inhibition of PDK3 expression bolstered CD8+ T cell-mediated cytotoxicity CD8+ T cell infiltration and activation in vivo. Notably, PDK3 was found to facilitate STAT1 activation and elevate programmed death-ligand 1 (PD-L1) expression in colon cancer cells. Importantly, PDK3 inhibition combination with PD-1 blockade significantly activates the infiltrated CD8+ T cells to suppress tumor growth and improves the survival benefit in several murine tumor models. In summary, these findings underscore PDK3's role in fueling colon cancer growth by orchestrating PI3K-AKT signaling and PD-L1 expression and dampening CD8+ T cell function.

Curettage of lesion combined with reconstruction of intramedullary nail and bone cement for the treatment of subtrochanteric metastatic tumors of the femur.

This study investigated subtrochanteric femoral metastases using a retrospective approach by analyzing data from 109 patients with bone metastases (2015-2019). Surgical methods were compared: curettage with intramedullary nail and bone cement versus prosthetic reconstruction. Post-surgical assessments included joint function, bone metastasis-related serum markers, and complications. Univariate and multivariate logistic regression analysis was used to screen independent risk factors affecting patients' prognosis. R language was used to construct a nomogram model for predicting patients' 1- and 2-year survival, which was validated through ROC curves and the calibration chart. Patients treated with curettage showed superior postoperative outcomes, exhibiting significantly higher Karnofsky Performance Status (KPS) scores (80.00 vs. 70.00, P < 0.001) and Musculoskeletal Tumor Society Scores (MSTS) (23.86 ± 2.57 vs. 21.67 ± 3.24, P < 0.001). Both methods demonstrated comparable efficacy in pain control (VAS: 3.00 vs. 3.00, P > 0.05) and bone metabolism impact (ALP: 85.93 ± 14.44 vs. 83.19 ± 21.19; CTX-I: 3.03 ± 1.56 vs. 3.15 ± 1.75; PINP: 10.30 ± 4.41 vs. 11.57 ± 3.90; all P > 0.05). Cox regression identified treatment regimen, age, diabetes, and pre-treatment KPS score as significant survival factors (all P < 0.05). The nomogram model demonstrated high accuracy in predicting one-year and two-year survival (AUC: 0.821 and 0.790, respectively). In conclusion, curettage with intramedullary nail and bone cement enhances postoperative functional recovery and quality of life for subtrochanteric femoral metastases patients, representing a promising treatment method.