Unravelling the metabolic landscape of cutaneous melanoma: Insights from single-cell sequencing analysis and machine learning for prognostic assessment of lactate metabolism.

This manuscript presents a comprehensive investigation into the role of lactate metabolism-related genes as potential prognostic markers in skin cutaneous melanoma (SKCM). Bulk-transcriptome data from The Cancer Genome Atlas (TCGA) and GSE19234, GSE22153, and GSE65904 cohorts from GEO database were processed and harmonized to mitigate batch effects. Lactate metabolism scores were assigned to individual cells using the 'AUCell' package. Weighted Co-expression Network Analysis (WGCNA) was employed to identify gene modules correlated with lactate metabolism. Machine learning algorithms were applied to construct a prognostic model, and its performance was evaluated in multiple cohorts. Immune correlation, mutation analysis, and enrichment analysis were conducted to further characterize the prognostic model's biological implications. Finally, the function of key gene NDUFS7 was verified by cell experiments. Machine learning resulted in an optimal prognostic model, demonstrating significant prognostic value across various cohorts. In the different cohorts, the high-risk group showed a poor prognosis. Immune analysis indicated differences in immune cell infiltration and checkpoint gene expression between risk groups. Mutation analysis identified genes with high mutation loads in SKCM. Enrichment analysis unveiled enriched pathways and biological processes in high-risk SKCM patients. NDUFS7 was found to be a hub gene in the protein-protein interaction network. After the expression of NDUFS7 was reduced by siRNA knockdown, CCK-8, colony formation, transwell and wound healing tests showed that the activity, proliferation and migration of A375 and WM115 cell lines were significantly decreased. This study offers insights into the prognostic significance of lactate metabolism-related genes in SKCM.

Electrochemical Lateral Flow Immunoassay with Built-In Electrodes for Ultrasensitive and Wireless Detection of Inflammatory Biomarkers.

Paper-based lateral flow immunoassays (LFIAs) are cost-effective, portable, and simple methods for detection of diverse analytes, which however only provide qualitative or semiquantitative results and lack sufficient sensitivity. A combination of LFIA and electrochemical detection, namely, electrochemical lateral flow immunoassay (eLFIA), enables quantitative detection of analytes with high sensitivity, but the integration of external electrodes makes the system relatively expensive and unstable. Herein, the working, counter, and reference electrodes were prepared directly on the nitrocellulose membrane using screen printing, which remarkably simplified the structure of eLFIA and decreased the cost. Moreover, a horseradish peroxidase (HRP)-based electrochemical signal amplification strategy was used for further increasing the analytical sensitivity. HRP captured on the working electrode can catalyze the oxidation of tetramethylbenzidine (TMB) to form the TMB-TMBox precipitate on the electrode surface, which as an electrochemically active product can output an amplified current for quantification. We demonstrated that the eLFIA could detect low-abundant inflammatory biomarkers in human plasma samples with limits of detection of 0.17 and 0.54 pg mL-1 for interleukin-6 and C-reactive protein, respectively. Finally, a fully portable system was fabricated by integrating eLFIA with a flexible and wireless electrochemical workstation, realizing the point-of-care detection of interleukin-6.

Deciphering cutaneous melanoma prognosis through LDL metabolism: Single-cell transcriptomics analysis via 101 machine learning algorithms.

Cutaneous melanoma poses a formidable challenge within the field of oncology, marked by its aggressive nature and capacity for metastasis. Despite extensive research uncovering numerous genetic and molecular contributors to cutaneous melanoma development, there remains a critical knowledge gap concerning the role of lipids, notably low-density lipoprotein (LDL), in this lethal skin cancer. This article endeavours to bridge this knowledge gap by delving into the intricate interplay between LDL metabolism and cutaneous melanoma, shedding light on how lipids influence tumour progression, immune responses and potential therapeutic avenues. Genes associated with LDL metabolism were extracted from the GSEA database. We acquired and analysed single-cell sequencing data (GSE215120) and bulk-RNA sequencing data, including the TCGA data set, GSE19234, GSE22153 and GSE65904. Our analysis unveiled the heterogeneity of LDL across various cell types at the single-cell sequencing level. Additionally, we constructed an LDL-related signature (LRS) using machine learning algorithms, incorporating differentially expressed genes and highly correlated genes. The LRS serves as a valuable tool for assessing the prognosis, immunity and mutation status of patients with cutaneous melanoma. Furthermore, we conducted experiments on A375 and WM-115 cells to validate the function of PPP2R1A, a pivotal gene within the LRS. Our comprehensive approach, combining advanced bioinformatics analyses with an extensive review of current literature, presents compelling evidence regarding the significance of LDL within the cutaneous melanoma microenvironment.

SECTM1 promotes the development of glioblastoma and mesenchymal transition by regulating the TGFß1/Smad signaling pathway.

Objective: Secreted and transmembrane protein 1 (SECTM1) is a gene encoding a transmembrane protein. The role of SECTM1 in glioblastoma (GBM) is unclear. Here, we reported the abnormal expression of SECTM1 in GBM for the first time and studied the role and mechanism of SECTM1 in GBM. Methods: qRT-PCR, Western blotting and immunofluorescence were used to detect the expression of SECTM1 in gliomas of different grades and GBM cell lines. After the knockdown of SECTM1 expression in cell lines by shRNA, the effect of SECTM1 in GBM cell lines was verified by CCK-8, Transwell, EdU and wound healing experiments. We further investigated the effect and mechanism of SECTM1 on GBM in vitro and in vivo. The effect of SECTM1 on glioma growth was detected by subcutaneous tumor xenografts in nude mice in vivo. Results: The results showed that the knockdown of SECTM1 expression in cell lines significantly inhibited the proliferation, migration and invasion of GBM cells while inhibiting the progression of subcutaneous xenograft tumors in nude mice. However, the role and molecular mechanism of SECTM1 in GBM remain unclear. SECTM1 was found to promote GBM epithelial-mesenchymal transition (EMT) like processes. Bioinformatics analysis and Western blotting showed that SECTM1 regulates glioblastoma invasion and EMT-like processes mainly through the TGFß1/Smad signaling pathway. Conclusion: The low expression of SECTM1 has an inhibitory effect on GBM and is a potential target for GBM treatment. SECTM1 may also be a promising biomarker for the diagnosis and prognosis of GBM.

PANoptosis-related signature in melanoma: Transcriptomic mapping and clinical prognostication.

Programmed cell death plays a pivotal role in maintaining tissue homeostasis, and recent advancements in cell biology have uncovered PANoptosis-a novel paradigm integrating pyroptosis, apoptosis, and necroptosis. This study investigates the implications of PANoptosis in melanoma, a formidable skin cancer known for its metastatic potential and resistance to conventional therapies. Leveraging bulk and single-cell transcriptome analyses, machine learning modeling, and immune correlation assessments, we unveil the molecular intricacies of PANoptosis in melanoma. Single-cell sequencing identifies diverse cell types involved in PANoptosis, while bulk transcriptome analysis reveals key gene sets correlated with PANoptosis. Machine learning algorithms construct a robust prognostic model, demonstrating consistent predictive power across diverse cohorts. Patients with different cohorts can be divided into high-risk and low-risk groups according to this PANoptosis score, with the high-risk group having a significantly worse prognosis. Immune correlation analyses unveil a link between PANoptosis and immunotherapy response, with potential therapeutic implications. Mutation analysis and enrichment studies provide insights into the mutational landscape associated with PANoptosis. Finally, we used cell experiments to verify the expression and function of key gene PARVA, showing that PARVA was highly expressed in melanoma cell lines, and after PARVA is knocked down, cell invasion, migration, and colony formation ability were significantly decreased. This study advances our understanding of PANoptosis in melanoma, offering a comprehensive framework for targeted therapeutic interventions and personalized medicine strategies in combating this aggressive malignancy.

Hollow Cu2MoS4 nanoparticles loaded with immune checkpoint inhibitors reshape the tumor microenvironment to enhance immunotherapy for pancreatic cancer.

Pancreatic ductal adenocarcinoma (PDAC) is a fatal disease that responds poorly to single-drug immunotherapy with PD-L1 (CD274) inhibitors. Here, we prepared mesoporous nanomaterials Cu2MoS4 (CMS)/PEG loaded with PD-L1 inhibitor BMS-1 and CXCR4 inhibitor Plerixafor to form the nanodrug CMS/PEG-B-P. In vitro experiments, CMS/PEG-B-P have a more substantial inhibitory effect on the expression of PD-L1 and CXCR4 as well as to promote the apoptosis of pancreatic cancer cells KPC and suppressed KPC cell proliferation were detected by flow cytometry, qPCR and Western blotting (WB). Promotes the release of the cytotoxic substance reactive oxygen species (ROS) and the production of the immunogenic cell death (ICD) marker calreticulin (CRT) in KPC cells. CMS/PEG-B-P was also detected to have a certain activating effect on mouse immune cells, dendritic cells (mDC) and macrophage RAW264.7. Subcutaneous tumorigenicity experiments in C57BL/6 mice verified that CMS/PEG-B-P had an inhibitory effect on the growth of tumors and remodeling of the tumor immune microenvironment, including infiltration of CD4+ and CD8+ T cells and polarization of macrophages, as well as reduction of immunosuppressive cells. Meanwhile, CMS/PEG-B-P was found to have different effects on the release of cytokines in the tumor immune microenvironment, including The levels of immunostimulatory cytokines INF-γ and IL-12 are increased and the levels of immunosuppressive cytokines IL-6, IL-10 and IFN-α are decreased. In conclusion, nanomaterial-loaded immune checkpoint inhibitor therapies can enhance the immune response and reduce side effects, a combination that shows great potential as a new immunotherapeutic approach. STATEMENT OF SIGNIFICANCE: Pancreatic ductal adenocarcinoma (PDAC) is a fatal disease that has a low response to single-drug immunotherapy with PD-L1 (CD274) inhibitors. We preared PEG-modified mesoporous nanomaterials Cu2MoS4 (CMS) loaded with PD-L1 inhibitor BMS-1 and CXCR4 inhibitor Plerixafor to form the nanodrug CMS/PEG-B-P. Our study demonstrated that Nanomaterial-loaded immune checkpoint inhibitor therapies can enhance the immune response and reduce side effects, a combination that shows great potential as a new immunotherapeutic approach.

PD-L1 Expression and Ultrasound Characteristics in Papillary Thyroid Carcinoma and Its Effect on Recurrence.

AIM: Programmed death-ligand 1 (PD-L1) is a component of the tumor microenvironment, which is closely involved in the occurrence and development of tumors. We investigated the correlation between the expression of PD-L1 and ultrasound characteristics in papillary thyroid carcinoma (PTC) and its effect on recurrence. PATIENTS AND METHODS: Fifty-two patients at the Department of General Surgery of Qingdao Municipal Hospital underwent thyroid ultrasonic examination before surgery and their clinicopathological variables were collected. Then, immunohistochemistry staining was conducted to evaluate the PD-L1 expression in tumors and adjacent normal tissues. The correlations of PD-L1 expression with clinicopathological and ultrasound characteristics were analyzed. RESULTS: The expression of PD-L1 was positive in 59.7% (40/67) of PTC tumor tissues. In clinicopathological analyses, PD-L1 positivity was related to multifocality of tumors (p=0.031). In analyses of ultrasound characteristics, the expression of PD-L1 was positively correlated with halo sign (p=0.035), capsular invasion (p=0.003), microcalcification (p=0.02), and recurrence (p=0.009). In multivariate logistic analysis of ultrasonic characteristics and recurrence of thyroid carcinoma, microcalcification [odds ratio=13.349, 95% confidence interval (CI)=2.052-86.832, p=0.007] and the halo sign (odds ratio=15.273, 95% CI=1.451-160.747, p=0.023) were factors associated with recurrence of PTC. In the multivariate Cox regression analysis, positive PD-L1 staining [hazard ratio (HR)=5.031, 95% CI=1.092-23.172, p=0.038] and a halo sign (HR=4.998, 95% CI=1.084-23.051, p=0.039) were independent predictors for poorer recurrence-free survival. Positive expression of PD-L1 predicted worse recurrence-free survival in the subgroup of patients with a halo sign (HR=6.537, 95% CI=1.863-22.94, p=0.037). CONCLUSION: Positive expression of PD-L1 in PTC affects the clinical and ultrasonic characteristics of the tumor and may negatively affect the prognosis of patients with PTC.

Nucleo-cytoplasmic shuttling of 14-3-3 epsilon carrying hnRNP C promotes autophagy.

Translocation of 14-3-3 protein epsilon (14-3-3ε) was found to be involved in Triptolide (Tp)-induced inhibition of colorectal cancer (CRC) cell proliferation. However, the form of cell death induced by 14-3-3ε translocation and mechanisms underlying this effect remain unclear. This study employed label-free LC-MS/MS to identify 14-3-3ε-associated proteins in CRC cells treated with or without Tp. Our results confirmed that heterogeneous nuclear ribonucleoproteins C1/C2 (hnRNP C) were exported out of the nucleus by 14-3-3ε and degraded by ubiquitination. The nucleo-cytoplasmic shuttling of 14-3-3ε carrying hnRNP C mediated Tp-induced proliferation inhibition, cell cycle arrest and autophagic processes. These findings have broad implications for our understanding of 14-3-3ε function, provide an explanation for the mechanism of nucleo-cytoplasmic shuttling of hnRNP C and provide new insights into the complex regulation of autophagy.

Evaluation of drug sensitivity, immunological characteristics, and prognosis in melanoma patients using an endoplasmic reticulum stress-associated signature based on bioinformatics and pan-cancer analysis.

We aimed to develop endoplasmic reticulum (ER) stress-related risk signature to predict the prognosis of melanoma and elucidate the immune characteristics and benefit of immunotherapy in ER-related risk score-defined subgroups of melanoma based on a machine learning algorithm. Based on The Cancer Genome Atlas (TCGA) melanoma dataset (n = 471) and GTEx database (n = 813), 365 differentially expressed ER-associated genes were selected using the univariate Cox model and LASSO penalty Cox model. Ten genes impacting OS were identified to construct an ER-related signature by using the multivariate Cox regression method and validated with the Gene Expression Omnibus (GEO) dataset. Thereafter, the immune features, CNV, methylation, drug sensitivity, and the clinical benefit of anticancer immune checkpoint inhibitor (ICI) therapy in risk score subgroups, were analyzed. We further validated the gene signature using pan-cancer analysis by comparing it to other tumor types. The ER-related risk score was constructed based on the ARNTL, AGO1, TXN, SORL1, CHD7, EGFR, KIT, HLA-DRB1 KCNA2, and EDNRB genes. The high ER stress-related risk score group patients had a poorer overall survival (OS) than the low-risk score group patients, consistent with the results in the GEO cohort. The combined results suggested that a high ER stress-related risk score was associated with cell adhesion, gamma phagocytosis, cation transport, cell surface cell adhesion, KRAS signalling, CD4 T cells, M1 macrophages, naive B cells, natural killer (NK) cells, and eosinophils and less benefitted from ICI therapy. Based on the expression patterns of ER stress-related genes, we created an appropriate predictive model, which can also help distinguish the immune characteristics, CNV, methylation, and the clinical benefit of ICI therapy. KEY MESSAGES: Melanoma is the cutaneous tumor with a high degree of malignancy, the highest fatality rate, and extremely poor prognosis. Model usefulness should be considered when using models that contained more features. We constructed the Endoplasmic Reticulum stress-associated signature using TCGA and GEO database based on machine learning algorithm. ER stress-associated signature has excellent ability for predicting prognosis for melanoma.

Pheochromocytoma crisis with refractory Acute Respiratory Distress Syndrome (ARDS), Takotsubo syndrome, emergency adrenalectomy, and need for Extracorporeal Membrane Oxygenation (ECMO) in a previously undiagnosed and asymptomatic patient, due to the use of metoclopramide.

BACKGROUND: Pheochromocytoma (PCC) crisis is a rare life-threatening endocrine emergency. The diagnosis and treatment of PCC crisis, with acute respiratory distress syndrome (ARDS) as the first manifestation, is highly challenging, and traditional PCC management strategies are no longer suitable for these patients. CASE PRESENTATION: A 46-year-old female patient was admitted to the Intensive Care Unit (ICU) following sudden-onset acute respiratory distress and subsequent initiation of mechanical ventilation via endotracheal intubation. She was initially suspected of having a PCC crisis through the bedside critical care ultrasonic examination protocol. The computed tomography examination revealed a left adrenal neoplasm of 6.5cm × 5.9cm. The plasma-free metanephrine level was 100 times higher than the reference value. These findings were compatible with her PCC diagnosis. Alpha-blockers and fluid intake were started immediately. The endotracheal intubation was removed on the 11th day after admission to the ICU. The patient progressed to severe ARDS again, and invasive ventilation and continuous renal replacement therapy were needed. Despite aggressive therapy, her condition deteriorated. Therefore, she underwent veno-arterial extracorporeal membrane oxygenation (VA-ECMO)-assisted emergency adrenalectomy after multidisciplinary discussion. Postoperatively, the patient was supported by VA-ECMO for 7days. She was discharged from the hospital on day 30 after tumor resection. CONCLUSIONS: This case highlighted the challenges in diagnosing and managing ARDS associated with PCC crisis. The traditional preoperative preparation protocol and optimal operation timing for patients with PCC are not suitable for patients with PCC crisis. Patients with life-threatening PCC crisis may benefit from early tumor removal, and VA-ECMO could maintain hemodynamic stability during and after surgery.

Effect of continuous nursing on wound infection and quality of life in patients with cancer-related stoma: A meta-analysis.

A meta-analysis was conducted to comprehensively assess the effect of continuous nursing on wound infection and quality of life in patients with cancer-related stomas, providing an evidence-based rationale for the care of these patients. A computerised search of PubMed, Web of Science, Ovid, EMBASE, the Cochrane Library, China National Knowledge Infrastructure, and Wanfang Data for randomised controlled trials (RCTs) on the effect of continuous nursing on wound infection and quality of life in patients with cancer-related stoma was conducted from the time the database was created to March 2023. The retrieved literature was screened, data were extracted, and the quality of the literature was evaluated according to the inclusion and exclusion criteria. Meta-analysis was performed using RevMan 5.4 software. Seventeen RCTs involving 1437 patients were included. Of the 1437 patients, 728 were in the continuous nursing group and 709 were in the control group. The results showed that continuous nursing significantly reduced the rate of wound infection in patients with cancer-related stomas (odds ratio [OR]: 0.30, 95% confidence interval [CI]: 0.16-0.53, p < 0.001) and improved their quality of life (standardised mean difference: 1.90. 95% CI: 1.32-2.47, p < 0.001). Available evidence suggests that continuous nursing for patients with cancer-related stomas can significantly reduce wound infections and improve their quality of life.

"Less is better-Full-incision double-eyelid blepharoplasty with rapid recovery".

SUMMARY: Full-incision double eyelid blepharoplasty is effective, but its postoperative complications, such as local trauma and persistent tissue swelling, are major concerns for patients. Since tissue swelling is caused by the obstruction of blood and lymphatic flow, the authors modified the conventional full-incision method by minimizing the trauma as much as possible. Twenty-five patients underwent the modified procedure. There was minor swelling immediately after the surgery, which subsided 1-5 days after the surgery. No patient reported loss of the double eyelid crease. Only 2 patients underwent a second operation due to a low crease. The satisfactory ratio was 92% (23 of 25). According to our understanding of this technique, LESS trauma is the key to obtaining BETTER results under certain conditions.

Real-world data on severe lung cancer: a multicenter retrospective study.

Background: Severe lung cancer is a novel concept that describes a patient with poor performance status (PS; 2-4) but with a high probability of receiving survival benefit and improvement in the PS score. However, there is currently no relevant research or real-world data on those with severe lung cancer, such as incidence, cause, clinical features, and risk factors. Methods: The data from patients with advanced lung cancer attending multiple centers from January 1, 2022, to June 30, 2022, were collected for a cross-sectional study. In addition, data from fatal cases from January 1, 2019, to June 30, 2022, were retrospectively collected as another cohort. And we developed a questionnaire to assess clinicians' mastery of severe lung cancer. Results: Three participating institutes enrolled the data set of 1,725 patients, and the dataset of 269 fatal cases were included in another cohort; the incidence of severe lung cancer was 13.10% and 37.55%, respectively. Severe lung cancer patients were mainly stage IV elderly male patients without gene mutation and a history of resection. And the proportion of smoking and comorbidities in severe lung cancer patients is more than in non-severe lung cancer patients (50.4% vs. 40.8%, P=0.006; 46.9% vs. 36.4%, P=0.002). Treatment-related adverse events (AEs) (46.0%) accounted for the largest proportion of the primary causes of severe lung cancer in the cross-sectional study, while cancer-related symptoms (54.5%) accounted for the largest proportion of the primary causes of sever lung cancer in the 101 fatal cases. For the fatal cases, the overall survival of severe lung cancer patients caused by cancer-related symptoms was longer than that caused by treatment-related AEs (8 vs. 3 months; P=0.019). A total of 616 clinicians completed the questionnaire; 90.26% of clinicians agreed with the concept of severe lung cancer. Conclusions: The incidence of severe lung cancer cannot be ignored based on real-world data. Treatment-related AEs are gradually account for more of the causes of severe lung cancer, surpassing cancer-related symptoms and comorbidities. Furthermore, the prognosis of patients with advanced lung cancer who develop severe lung cancer due to treatment-related AEs is worse than cancer-related symptoms.

Earlobe reconstruction with an inferior pedicle flap.

OBJECTIVE: This article describes an inferior pedicle flap for earlobe reconstruction. METHODS: The inferior pedicle flap was designed and marked according to the shape and size of the normal earlobe. The required flap was raised and folded to constitute a new earlobe and then sutured to the incised inferior edge of the earlobe defect. The donor site was directly closed. RESULTS: The reconstructed earlobe featured reliable vascularization and resulted in a natural appearance. No skin graft was needed for the donor site. The postoperative scars are short and concealed. CONCLUSIONS: The inferior pedicle flap is expected to provide a new idea for earlobe reconstruction.

Development and validation of ferroptosis-related lncRNA signature and immune-related gene signature for predicting the prognosis of cutaneous melanoma patients.

Ferroptosis, a form of cell death caused by iron-dependent peroxidation of lipids, plays an important role in cancer. Recent studies have shown that long noncoding RNAs (lncRNAs) are involved in the regulation of ferroptosis in tumor cells and are also closely related to tumor immunity. Immune cell infiltration in the tumor microenvironment affects the prognosis and clinical outcome of immunotherapy in melanoma patients, and immune cell classification may be able to accurately predict the prognosis of melanoma patients. However, the prognostic value of ferroptosis-related lncRNAs (FRLs) in melanoma has not been thoroughly explored, and it is difficult to define the immune characteristics of melanoma. We used The Cancer Genome Atlas (TCGA), the Genotype-Tissue Expression (GTEx) database, and the FerrDb database to identify FRLs. FRLs with prognostic value were evaluated in an experimental cohort utilizing univariate, LASSO (least absolute shrinkage and selection operator) and multivariate Cox regression, followed by in vitro assays evaluating the expression levels and the biological functions of three candidate FRLs. Kaplan-Meier (K-M) and receiver operating characteristic (ROC) curve analyses were used to assess the validity of the risk model, and the drug sensitivity of FRLs was examined by drug sensitivity analysis. The differentially expressed genes between the high- and low-risk groups in the risk model were enriched in the immune pathway, and we further found immune gene signatures (IRGs) that could predict the prognosis of melanoma patients through a series of methods including single-sample Gene Set Enrichment Analysis (ssGSEA). Finally, two GEO cohorts were used to validate the predictive accuracy and reliability of these two signature models. Our findings suggest that FRLs and IRGs have the potential to predict the prognosis of patients with cutaneous melanoma.

Transcriptome Analysis of the Mouse Medial Prefrontal Cortex in a Chronic Constriction Injury Model.

The medial prefrontal cortex (mPFC) is critical for both the sensory and emotional/cognitive components of pain. However, the underlying mechanism remains largely unknown. Here, we examined changes in the transcriptomic profiles in the mPFC of mice with chronic pain using RNA sequencing (RNA-seq) technology. A mouse model of peripheral neuropathic pain was established via chronic constriction injury (CCI) of the sciatic nerve. CCI mice developed sustained mechanical allodynia and thermal hyperalgesia, as well as cognitive impairment four weeks after surgery. RNA-seq was conducted 4 weeks after CCI surgery. Compared with contral group, RNA-seq identified a total 309 and 222 differentially expressed genes (DEGs) in the ipsilateral and contralateral mPFC of CCI model mice, respectively. GO analysis indicated that the functions of these genes were mainly enriched in immune- and inflammation-related processes such as interferon-gamma production and cytokine secretion. KEGG analysis further showed the enrichment of genes involved in the neuroactive ligand-receptor interaction signaling pathway and Parkinson disease pathway that have been reported to be importantly involved in chronic neuralgia and cognitive dysfunction. Our study may provide insights into the possible mechanisms underlying neuropathic pain and pain-related comorbidities.

Modified Skin Incision and Location of Burr-Hole Surgery via a Retrosigmoid Approach: An Anatomical Study.

Objective This study aims to reduce the tissue damage during craniotomy with retrosigmoid approach. A modified sickle-shaped skin incision was developed, and a new burr-hole positioning method was proposed. Methods Five adult cadaveric heads (10 sides) were used in this study. The sickle-shaped skin incision was performed during craniotomy. The nerves, blood vessels, and muscles were observed and measured under a microscope. Additionally, 62 dry adult skull specimens (left sided, n = 35; right sided, n = 27) were used to measure the distance between the most commonly used locating point (asterion [Ast] point) and the posteroinferior point of the transverse sigmoid sinus junction (PSTS) (Ast-PSTS), as well as the distance between the new locating O point and the PSTS (O-PSTS). Then, the reliability of the new locating O point was validated on the same five adult cadaveric heads (10 sides) used for the sickle-shaped skin incision. Results The sickle-shaped skin incision reduced the damage to the occipital nerves, blood vessels, and muscles during the surgery via a retrosigmoid approach. The dispersion and variability of O-PSTS were smaller than those of Ast-PSTS. Conclusion The sickle-shaped skin incision of the retrosigmoid approach can reduce the tissue damage and can completely expose the structures in the cerebellopontine angle. The modified O point is a more reliable locating point for a burr-hole surgery than the Ast point.

A novel Cuprotosis-related signature predicts the prognosis and selects personal treatments for melanoma based on bioinformatics analysis.

Background: Melanoma is a common and aggressive cutaneous malignancy characterized by poor prognosis and a high fatality rate. Recently, due to the application of Immune-checkpoint inhibitors (ICI) in melanoma treatment, melanoma patients' prognosis has been tremendously improved. However, the treatment effect varies quite differently from patient to patient. In this study, we aim to construct and validate a Cuproptosis-related risk model to improve outcome prediction of ICIs in melanoma and divide patients into subtypes with different Cuproptosis-related genes. Methods: Here, according to differentially expressed genes from four melanoma datasets in GEO (Gene Expression Omnibus), and one in TCGA (The Cancer Genome Atlas) database, a novel signature was developed through LASSO and Cox regression analysis. We used 781 melanoma samples to examine the molecular subtypes associated with Cuproptosis-related genes and studied the related gene mutation and TME cell infiltration. Patients with melanoma can be divided into at least three subtypes based on gene expression profile. Survival pan-cancer analysis was also conducted for melanoma patients. Results: The Cuproptosis risk score can predict tumor immunity, subtype, survival, and drug sensitivity for melanoma. And Cuproptosis-associated subtypes can help predict therapeutic outcomes. Conclusion: Cuproptosis risk score is a promising potential biomarker in cancer diagnosis, molecular subtypes determination, TME cell infiltration characteristics, and therapy response prediction in melanoma patients.

The Biological Processes of Ferroptosis Involved in Pathogenesis of COVID-19 and Core Ferroptoic Genes Related With the Occurrence and Severity of This Disease.

Background: A worldwide outbreak of coronavirus disease 2019 (COVID-19) has resulted in millions of deaths. Ferroptosis is a form of iron-dependent cell death which is characterized by accumulation of lipid peroxides on cellular membranes, and is related with many physiological and pathophysiological processes of diseases such as cancer, inflammation and infection. However, the role of ferroptosis in COVID-19 has few been studied. Material and Method: Based on the RNA-seq data of 100 COVID-19 cases and 26 Non-COVID-19 cases from GSE157103, we identified ferroptosis related differentially expressed genes (FRDEGs, adj.P-value < .05) using the "Deseq2" R package. By using the "clusterProfiler" R package, we performed Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment. Next, a protein-protein interaction (PPI) network of FRDEGs was constructed and top 30 hub genes were selected by cytoHubba in Cytoscape. Subsequently, we established a prediction model for COVID-19 by utilizing univariate logistic regression and the least absolute shrinkage and selection operator (LASSO) regression. Based on core FRDEGs, COVID-19 patients were identified as two clusters using the "ConsenesusClusterPlus" R package. Finally, the miRNA-mRNA network was built by Targetscan online database and visualized by Cytoscape software. Results: A total of 119 FRDEGs were identified and the GO and KEGG enrichment analyses showed the most important biologic processes are oxidative stress response, MAPK and PI3K-AKT signaling pathway. The top 30 hub genes were selected, and finally, 7 core FRDEGs (JUN, MAPK8, VEGFA, CAV1, XBP1, HMOX1, and HSPB1) were found to be associated with the occurrence of COVID-19. Next, the two patterns of COVID-19 patients had constructed and the cluster A patients were likely to be more severe. Conclusion: Our study suggested that ferroptosis was involved in the pathogenesis of COVID-19 disease and the functions of core FRDEGs may become a new research aspect of this disease.

Postoperative hematoma in cervical spondylosis patient complicated with Huntington's disease: Case report and literature review.

Hematoma is a life-threatening complication of anterior surgery in cervical spondylosis patients. Herein, we report a cervical spondylosis patient complicated with Huntington's disease, who developed unexpected neck hematoma after anterior cervical discectomy and fusion (ACDF) surgical treatment. During the debridement, we found no noticeable vessel lesions and concluded that the occurrence of postoperative hematoma might be due to the drainage displacement caused by excessive uncontrolled movements of the neck after the operation. The patient recovered well, and further literature review suggests that chorea secondary to Huntington's disease likely increases mechanical stress on the cervical spine, indicating an internal relationship between degenerative cervical spondylosis and Huntington's disease. Cervical spondylotic patients complicated with Huntington's disease can be treated with surgical intervention but need to be immobilized and under close observation.