Bioinformatics analysis of SH2D4A in glioblastoma multiforme to evaluate immune features and predict prognosis.

Background: Glioblastoma multiforme (GBM) is the most common and aggressive primary brain cancer in adults. This study aimed to obtain data on immune cell infiltration based on public datasets and to examine the prognostic significance of SH2 domain containing 4A (SH2D4A) for GBM. Methods: SH2D4A expression in GBM was analyzed using a Tumor Immunity Estimation Resource (TIMER) 2.0 dataset, and a gene expression profile interaction analysis (GEPIA), and the results were validated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). The Chinese Glioma Genome Atlas (CGGA) dataset was used to assess the effect of SH2D4A on GBM patient survival. The SH2D4A co-expression network of the LinkedOmics dataset and GeneMANIA dataset was also investigated. Least absolute shrinkage and selection operator (LASSO) regression models and a nomogram were constructed to assess the prognosis of GBM patients. A Gene Set Enrichment Analysis (GSEA) was performed using The Cancer Genome Atlas (TCGA) dataset to find functional differences. The relationship between SH2D4A expression and tumor-infiltrating immune cells was analyzed using xCELL, the Cell Type Identification by Estimating Relative Subsets of RNA Transcripts (CIBERSORT) algorithm, and the TIMER dataset. Results: We discovered that SH2D4A expression was upregulated in GBM patients, and elevated SH2D4A expression was also substantially correlated with tumor grade. The survival curve analysis and multivariate Cox regression analysis showed that high SH2D4A expression was a significant independent predictor of poor overall survival (OS) in GBM patients. The immunoassay results suggested that altered SH2D4A expression may affect the immune infiltration of GBM tissues and thus the survival outcomes of GBM patients. Conclusions: In addition to being a possible prognostic marker and therapeutic target for GBM, SH2D4A may also accelerate the progression of GBM.

Identification of RTP4 facilitating ovarian cancer by bioinformatics analysis and experimental validation.

Ovarian cancer (OV) is the most malignant gynecological tumor in women, with poor prognosis and high mortality rate. This study aims to identify hub genes in OV and explore the role of Receptor transporter 4 (RTP4) in OV progression. Common differentially expressed genes (DEGs) were screened from two microarray datasets. GO and KEGG enrichment analysis were performed. Protein-protein interaction (PPI) network was constructed by STING. Kaplan-Meier plotter was used to analyze prognosis. The effect of target gene on immune infiltration was analyzed by TIMER. The proliferation, migration, and invasion of OV cells were measured by CCK-8, wound healing assay, and trans-well assay, respectively. A total of 293 common DEGs were selected from GSE12470 and GSE16709 datasets. Hub genes, EPCAM, KIFC1, RTP4, TAGLN, and ZFP36 were selected by PPI network. Kaplan-Meier plotter demonstrated that high expression of RTP4 was related to low overall survival in OV patients. The TIMER result showed that high expression of RTP4 promoted immune infiltration of CD8+ T cells, B cells, neutrophils, and dendritic cells in OV. Moreover, silencing RTP4 significantly inhibited the proliferation, migration, and invasion of OV cells. RTP4 was associated with the poor prognosis in OV. In summary, silencing RTP4 inhibited the proliferation, migration, and invasion of OV cells, having the potential to be a novel therapeutic target for OV.

Bioinformatics analysis of BTK expression in lung adenocarcinoma: implications for immune infiltration, prognostic biomarkers, and therapeutic targeting.

In recent years, as more and more lung-cancer patients have been treated with immunotherapeutic agents, their survival has been prolonged compared to before. It is well known that BTK (Bruton's tyrosine kinase) is predominantly found in cells of the hematopoietic system. However, there is a distinct lack of literature on BTK expression in lung adenocarcinoma (LUAD) patients and its effect on the immune microenvironment. Consequently, the main goal of this investigation was to analyze how BTK expression in lung adenocarcinoma affects its progression, along with its prognostic significance, through the utilization of bioinformatics online resources and publicly available databases. Data on the sequencing results and clinical records of lung adenocarcinoma patients were gathered from The Cancer Genome Atlas (TCGA) database. Based on the expression level of BKT, TCGA categorized lung adenocarcinoma patients into BTK high-expression and low-expression groups. We investigated the effects of BKT on clinicopathologic, genomic, and immunologic characteristics of lung adenocarcinoma patients. We analyzed BTK mRNA expression in tumors and normal tissues using two key resources: Tumor Immuno Estimation Resource 2.0 (TIMER 2.0) and Gene Expression Profiling Interactive Analysis 2 (GEPIA 2). We analyzed the prognosis of the patients using GEPIA2 and validated the results using univariate and multivariate analyses. In addition, we assessed BTK protein expression by Human Protein Atlas (HPA). We sought to elucidate the clinical prognostic significance of BTK in The TCGA using the online tool GEPIA 2. Furthermore, to clarify the biologic roles and pathways linked to BTK, we conducted a genomic enrichment analysis of the information. To predict the proportion of various immune cell infiltrations in the immune microenvironment of lung adenocarcinoma patients diagnosed in the TCGA database, we performed an analysis using the TIMER online tool. Using TIMER and CIBERSORT, the correlation between genes co-expressed with BTK and the corresponding tumor-infiltrating immune cells was explored; finally, the relationship between BTK expression and immune infiltration and immune checkpoints in the TMB group and the high and low groups was analyzed by R language analysis using the TCGA database. The expression of BTK provides some hints about the prognosis of the patients. The high expression of BTK is involved in immune response regulation signaling pathways, leukocyte-mediated immunity, leukocyte intercellular adhesion, graft rejection, and complement. Analysis of the GEPIA 2 database showed that BTK was co-expressed with the genes FGD2, SASH3, NCKAP1L, CD53, ARHGAP30 and LPXN. Increased expression of the above-mentioned genes resulted in increased proportions of CD8 + T cells, memory CD4 + T cells, B cells, macrophages, and dendritic cells, and decreased proportions of Treg cells and TH2 cells. In addition, our study revealed a strong positive correlation between various key immune checkpoints (e.g., PDCD1, CD274, PDCD1LG2, CTLA4, HAVCR2, LAG3, TIGIT, and SIGLEC15) and BTK expression. In conclusion, increased BTK expression in lung adenocarcinoma is closely associated with prolonged survival of lung-cancer patients. Moreover, the genes classified under the BTK high-expression group exhibit significant enrichment in immune-related pathways, suggesting a potential impact on the tumor microenvironment. We investigated the potential of BTK as a tumor suppressor gene in predicting prolonged patient survival. In addition, we further investigated the possibility that BTK further affects the immunotherapeutic response of patients by influencing the microenvironment of tumor immune infiltration, but the relevant mechanisms remain to be further studied.

Mitochondrial genetic variations in leukemia: a comprehensive overview.

Leukemias are a group of heterogeneous hematological malignancies driven by diverse genetic variations, and the advent of genomic sequencing technologies facilitates the investigation of genetic abnormalities in leukemia. However, these sequencing-based studies mainly focus on nuclear DNAs. Increasing evidence indicates that mitochondrial dysfunction is an important mechanism of leukemia pathogenesis, which is closely related to the mitochondrial genome variations. Here, we provide an overview of current research progress concerning mitochondrial genetic variations in leukemia, encompassing gene mutations and copy number variations. We also summarize currently accessible mitochondrial DNA (mtDNA) sequencing methods. Notably, somatic mtDNA mutations may serve as natural genetic barcodes for lineage tracing and longitudinal assessment of clonal dynamics. Collectively, these findings enhance our understanding of leukemia pathogenesis and foster the identification of novel therapeutic targets and interventions.

Acute-phase proteins as indicators of disease severity and mortality in COVID-19 patients.

The aim of the study was to conduct of relationship of acute-phase proteins (APPs) with the severity of COVID-19 defined by National Institutes of Health and according to the criteria of MEWS scale, with the presence of a cytokine storm, oxygen therapy and patient survival. We enrolled 96 patients with COVID-19 and 30 healthy people. The samples were taken on the day of admission and after 9 days on average. Not only commonly used APPs such as CRP, procalcitonin and ferritin and also rarely assayed proteins such as transferrin, haptoglobin, α1-acid glycoprotein and α1-antitrypsin, were tested in the study. The levels of APPs depends on the severity of COVID-19 disease, on the presence of cytokine storm and used oxygen therapy. The greatest APPs changes occurred in the most advanced form of the disease, with the presence of a cytokine storm and the most intense oxygen therapy. The results obtained from MEWS scale were not consistent with National Institutes of Health scores. Studies in the second samples showed the quenching of the acute phase reactions and the effectiveness of oxygen therapy. Only two of the examined APPs i.e. procalcitonin and transferrin, differed between surviving and non-surviving patients, and these two predispose to the role of prognostic factors in Covid-19. In conclusion, the concentration of not all acute-phase proteins depends on the severity of COVID-19 disease, presence of cytokine storm, the used of oxygen therapy and only some of them (procalcitonin and transferrin) are related to the survival outcomes. Of the newly tested acute-phase proteins, only transferrin shows significance as a marker of disease severity and mortality in COVID-19 disease.

The implication of anti-Ro60 with or without anti-Ro52 antibody in patients with systemic lupus erythematosus.

OBJECTIVES: Anti-Ro60 and anti-Ro52 autoantibodies are frequently used as diagnostic biomarkers for Sjogren's disease, but their clinical significance in systemic lupus erythematosus (SLE) is not well characterised. METHODS: Patients fulfilling SLE classification criteria were studied according to their anti-Ro status. We defined Ro positivity (Ro+) as those who have either anti-Ro60 or anti-Ro52 positivity. Patient characteristics and disease outcomes, including High Disease Activity Status (HDAS) defined as an ever attainment of SLEDAI2K ≥10, adjusted mean SLEDAI (AMS), and time-adjusted mean clinical SLEDAI (excluding serologic activities) were compared using linear or logistic regressions. Furthermore, isolated or dual positivity of anti-Ro60 and anti-Ro52 were studied. RESULTS: Out of 409 patients, 47.2% were Ro+. Ro+ patients were predominantly Asian, had positive dsDNA and hypocomplementemia. They showed a higher likelihood of HDAS (OR 1.65, 95% CI 1.10-2.48, p= 0.015), AMS > 4 (OR 1.84, 1.18-2.88, p= 0.007), and more frequent use of glucocorticoids (OR 1.87, 1.16-3.03, p= 0.011) and immunosuppressants (OR 2.0, 1.26-3.17, p= 0.003). Additionally, 24.4% of Ro+ patients experienced sicca symptoms, and hypergammaglobulinemia was significantly more common. Multivariate analysis confirmed that Asian ethnicity, severe flares, AMS, hypocomplementemia, rheumatoid factor, proteinuria, leucopenia, and sicca symptoms were significantly linked to Ro positivity. CONCLUSION: Anti-Ro positivity is associated with higher disease activity and increased treatment needs. Ro positivity correlates with laboratory abnormalities such as hypocomplementemia and leucopenia. These findings highlight the importance of anti-Ro60/Ro52 testing in the clinical evaluation of SLE.

Identification and experimental verification of a biomarker by combining the unfolded protein response with the immune cells in colon cancer.

BACKGROUND: The unfolded protein response (UPR) is associated with immune cells that regulate the biological behavior of tumors. This article aims to combine UPR-associated genes with immune cells to find a prognostic marker and to verify its connection to the UPR. METHODS: Univariate cox analysis was used to screen prognostically relevant UPRs and further screened for key UPRs among them by machine learning. ssGSEA was used to calculate immune cell abundance. Univariate cox analysis was used to screen for prognostically relevant immune cells. Multivariate cox analysis was used to calculate UPR_score and Tumor Immune Microenvironment score (TIME_score). WGCNA was used to screen UPR-Immune-related (UI-related) genes. Consensus clustering analysis was used to classify patients into molecular subtype. Based on the UI-related genes, we classified colon adenocarcinoma (COAD) samples by cluster analysis. Single-cell analysis was used to analyze the role of UI-related genes. We detected the function of TIMP1 by cell counting and transwell. Immunoblotting was used to detect whether TIMP1 was regulated by key UPR genes. RESULTS: Combined UPR-related genes and immune cells can determine the prognosis of COAD patients. Cluster analysis showed that UI-related genes were associated with clinical features of COAD. Single-cell analysis revealed that UI-related genes may act through stromal cells. We defined three key UI-related genes by machine learning algorithms. Finally, we found that TIMP1, regulated by key genes of UPR, promoted colon cancer proliferation and metastasis. CONCLUSIONS: We found that TIMP1 was a prognostic marker and experimentally confirmed that TIMP1 was regulated by key genes of UPR.

Changes in serum lactate dehydrogenase as a prognostic factor in patients with head and neck squamous cell carcinoma treated with immune checkpoint inhibitors.

BACKGROUND: Lactate dehydrogenase (LDH) is involved in the Warburg effect. Elevated serum LDH is a prognostic marker for metastatic solid cancer. AIM: To investigate the prognostic impact of serum LDH in patients with head and neck squamous cell carcinoma treated with immune checkpoint inhibitors (ICIs). MATERIALS AND METHODS: This retrospective study included 129 patients treated with ICIs between 2017 and 2023. The effects of pretreatment LDH, LDH at 3 months, and change in LDH during the first 3 months (ΔLDH) on overall survival (OS) and progression-free survival (PFS) were analyzed using the Kaplan-Meier method and Cox regression model. RESULTS: The 1-year PFS and OS rates for high and low groups were 6.0% and 30.1% for pretreatment LDH (p = 0.044), 25.7% and 38.3% for on-treatment LDH (p = 0.079), and 14.3% and 38.7% for ΔLDH (p = 0.008), as well as 42.1% and 60.9% for pretreatment LDH (p = 0.109), 56.0% and 80.5% (p < 0.001) for on-treatment LDH, and 31.0% and 81.0% for ΔLDH (p < 0.001), respectively. ΔLDH was an independent prognostic factor for both PFS and OS. CONCLUSIONS AND SIGNIFICANCE: ΔLDH can be used to predict ICI treatment outcomes and as a marker in deciding to continue ICI therapy.

MYH6 suppresses tumor progression by downregulating KIT expression in human prostate cancer.

Prostate cancer (PRAD) is one of the leading malignancies in men all around the world. Here, we identified Myosin Heavy Chain 6 (MYH6) as a potential tumor suppressor gene in the development of prostate cancer. We found lower expression of MYH6 in prostate cancer tissues, and its lower gene expression was also associated with worse clinical outcomes. In vitro and in vivo assays indicated that overexpressed MYH6 could suppress the proliferation and migration progression of prostate cancer cells. RNA-seq was employed to investigate the mechanism, and KIT Proto-Oncogen (KIT) was determined as the downstream gene of MYH6, which was further confirmed using rescue assays. In all, we provide the evidence that MYH6 could serve as a tumor suppressor in prostate cancer. Our results highlight the potential role of MYH6 in the development of prostate cancer.

Prediction of Clinical Severity of COVID-19 Using a Combination of Heparin-Binding Protein, Interleukin-6, and C-Reactive Protein: A Retrospective Study.

BACKGROUND: Systemic inflammation stands as a pivotal factor tightly interwoven with the progression of COVID-19. This study endeavors to elucidate the significance of three key inflammatory molecules, that is, heparin-binding protein (HBP), interleukin-6 (IL-6), and C-reactive protein (CRP), in assessing the severity and prognostic implications of COVID-19. METHODS: The demographic, clinical, and laboratory data were retrospectively collected from a cohort of 214 adult patients diagnosed with COVID-19. Patients were divided into two groups: nonsevere (n = 93; 43.5%) and severe (n = 121; 56.5%). Additionally, based on their organ function, patients were categorized into nonorgan failure (n = 137) and organ failure (n = 77) groups. The levels of inflammation-related cytokines were then compared among these defined groups. RESULTS: The severe group was characterized by a higher proportion of males, older age, and longer hospital stays compared to nonsevere cases. Additionally, severe cases exhibited a higher prevalence of underlying diseases and organ failure. Statistical analysis revealed significantly elevated levels of HBP, IL-6, and CRP in the severe group. HBP, IL-6, and CRP were identified as independent risk factors for severe COVID-19. Furthermore, a combined assessment of these biomarkers demonstrated superior diagnostic sensitivity (85.10%) and specificity (95.70%) for predicting COVID-19 severity. A positive relationship between elevated HBP, IL-6, and CRP levels and impaired organ function was also observed. The predictive efficiency significantly increased (hazard ratio = 3.631, log-rank p = 0.003) when two or more of them were combinedly used. Notably, elevated levels of HBP, IL-6, and CRP were associated with an increased risk of mortality. CONCLUSIONS: In conclusion, the combined assessment of HBP, IL-6, and CRP offers enhanced accuracy and specificity in predicting the severity, organ failure, and mortality risk associated with COVID-19.

Diagnostic and prognostic value of CD44v9 and TIM3 expression in CK­ and CK+ regions in gastric cancer tissues.

The specificity and sensitivity of the current diagnostic and prognostic biomarkers for gastric cancer (GC) are limited. The present study aimed to evaluate the diagnostic and prognostic significance of cluster-of-differentiation gene 44 variant isoform 9 (CD44v9) and T cell immunoglobulin and mucin domain-containing protein 3 (TIM3) expression levels alone or combined in the tumor tissues of patients with GC and reveal the roles of CD44v9 and TIM3 in the cytokeratin (CK)+ and CK- regions. Multiplex immunofluorescence staining was performed for CD44v9, TIM3 and CK using a tissue microarray. The tissues were divided into three regions based on CK expression: Total, CK+, and CK- regions. The diagnostic and prognostic value was evaluated using receiver operating characteristic curves, Kaplan-Meier and Cox regression analyses. The results demonstrated that the density of cells expressing CD44v9, TIM3 and co-expressing CD44v9 and TIM3 (CD44v9/TIM3) in both the CK+ and CK- regions of tumor tissues was significantly higher than those in normal tissues (P<0.001). Moreover, the expression of CD44v9 in the CK- region was significantly positively correlated with age and tumor grade (P<0.05), and the expression of CD44v9/TIM3 in the CK- region of tumor tissues was significantly positively correlated with age, tumor grade and metastasis (P<0.05). Furthermore, the area under the curve for TIM3 expression in the CK+ region was 0.709, with a sensitivity of 45.83% and a specificity of 85.54% (P<0.001). High expression of CD44v9 in the CK- region was also significantly associated with poor survival and independently predicted a poor prognosis in patients with GC (hazard ratio, 2.387; 95% confidence interval, 1.384-4.118; P<0.01). In conclusion, dividing tissue regions based on CK expression is important for the diagnosis of GC. The expression of TIM3 in the CK+ region demonstrated diagnostic potential for GC, and high expression of CD44v9 in the CK- region was an independent prognostic risk factor for patients with GC.

Elevation of circulating neutrophil extracellular traps in endometrial cancer: Poor prognostic value of cell-free double-stranded DNA.

OBJECTIVE: Neutrophils produce neutrophil extracellular traps (NETs) by releasing nuclear contents into the extracellular environment. NETs are associated with systemic inflammation and cancer development and progression. We aimed to investigate whether NET markers are associated with the prognosis of endometrial cancer. METHODS: Circulating levels of three NET markers (histone-DNA complex, cell-free double-stranded DNA (dsDNA), and neutrophil elastase) were measured in 98 patients with endometrial cancer who underwent surgery as primary treatment between January 2015 and June 2018 and 45 healthy women. Area under the receiver operating characteristic curve (AUC) analyses were conducted to investigate the diagnostic and prognostic utility of the markers for endometrial cancer. RESULTS: Patients with endometrial cancer showed significantly higher levels of the three NET markers than those in healthy controls. In discriminating endometrial cancer patients from healthy controls, the three NET markers showed AUC values in the following order: cell-free dsDNA (0.832; 95 % CI, 0.760-0.889), histone-DNA complex (0.740; 95 % CI, 0.660-0.809), and neutrophil elastase (0.689; 95 % CI, 0.607-0.764), comparable to those of CA-125 (0.741; 95 % CI, 0.659-0.813). Multivariate analysis adjusting for FIGO stage, histology, and lymphovascular space invasion, and lymph node involvement revealed that cell-free dsDNA level (cutoff: 95.2 ng/mL) was an independent prognostic marker for poor progression-free (adjusted HR, 2.75; 95 % CI, 1.096.92; P = 0.032) and overall survival (adjusted HR, 11.51; 95 % CI, 2.0664.22; P = 0.005) for patients with endometrial cancer. CONCLUSION: High levels of circulating NET markers were observed in patients with endometrial cancer. Cell-free dsDNA levels may play a role as prognostic markers for endometrial cancer.

Analysis of the Ki-67 Proliferation Index in Relation to Tumor, Node, and Metastasis (TNM) Stage in Patients With Oral Cavity Squamous Cell Carcinoma.

Introduction Squamous cell carcinoma (SCC) comprises more than 90% of malignant tumors of the oral cavity, accounting for up to 40% of all malignancies in South Asia. Despite the progress made in cancer management, the five-year survival rate for SCC has remained around 50%. To improve this survival rate, it is essential to understand the tumor's biology at its core. In our study, the Ki-67 proliferation index of tumor cells was analyzed and correlated with the tumor stage, nodal stage, and tumor grade to determine the tumor's biological aggressiveness. Materials and methods The study was conducted in a tertiary care center in South Asia from 2018 to 2022. A total of 50 adult patients with biopsy-proven oral cavity SCC were taken for analysis. The Ki-67 index was assessed in tumor cells using immunohistochemistry. Results Ki-67 was classified into two subcategories: <20% and >20%. Patients with an advanced T stage (T3-T4) have a greater chance of having a higher Ki-67 index (>20%), with p = 0.047. However, there is no statistically significant association between nodal status and tumor grade. Conclusion The Ki-67 proliferation index predicts the behavior of SCC lesions regarding tumor size and invasiveness.

Inhibition of XPR1-dependent phosphate efflux induces mitochondrial dysfunction: A potential molecular target therapy for hepatocellular carcinoma?

Xenotropic and polytropic retrovirus receptor 1 (XPR1) is the only known transporter associated with Pi efflux in mammals, and its impact on tumor progression is gradually being revealed. However, the role of XPR1 in hepatocellular carcinoma (HCC) is unknown. A bioinformatics screen for the phosphate exporter XPR1 was performed in HCC patients. The expression of XPR1 in clinical specimens was analyzed using quantitative real-time PCR, Western blot analysis, and immunohistochemical assays. Knockdown of the phosphate exporter XPR1 was performed by shRNA transfection to investigate the cellular phenotype and phosphate-related cytotoxicity of the Huh7 and HLF cell lines. In vivo tests were conducted to investigate the tumorigenicity of HCC cells xenografted into immunocompromised mice after silencing XPR1. Compared with that in paracancerous tissue, XPR1 expression in HCC tissues was markedly upregulated. High XPR1 expression significantly correlated with poor patient survival. Silencing of XPR1 leads to decreased proliferation, migration, invasion, and colony formation in HCC cells. Mechanistically, knockdown of XPR1 causes an increase in intracellular phosphate levels; mitochondrial dysfunction characterized by reduced mitochondrial membrane potential and adenosine triphosphate levels; increased reactive oxygen species levels; abnormal mitochondrial morphology; and downregulation of key mitochondrial fusion, fission, and inner membrane genes. This ultimately results in mitochondria-dependent apoptosis. These findings reveal the prognostic value of XPR1 in HCC progression and, more importantly, suggest that XPR1 might be a potential therapeutic target.

High HTLV-1 Proviral Load Predates and Predicts HTLV-1-Associated Disease: Literature Review and the London Experience.

Human T cell lymphotropic virus type 1 (HTLV-1) is a retrovirus that infects lymphocytes and causes severe diseases. HTLV-1 proviral load (PVL), i.e., the number of host cells that carry HTLV-1 proviral DNA integrated into their genome, can be measured in peripheral blood mononuclear cells (PBMCs) using quantitative polymerase chain reaction. In this narrative review, we discuss the usefulness of HTLV-1 PVL quantification and share our experience acquired during more than 30 years of follow-up of people living with HTLV-1 in the UK. Patients with HTLV-1-associated myelopathy have higher PVL than those with asymptomatic infection. This is consistent across studies in different countries. High PVL predates symptom onset for both inflammatory and proliferative diseases. High PVL is essential but not sufficient for the development of HTLV-1-associated diseases. Therefore, PVL quantification can be used to support the care of people living with HTLV-1 by identifying those most at risk of HTLV-1-associated diseases.

UCHL5 is a putative prognostic marker in renal cell carcinoma: a study of UCHL family.

A macroscopic perspective is indispensable for understanding the intricate relationship between deubiquitinases and tumorigenesis. Proteomics has been proposed as a viable approach for elucidating the complex role of deubiquitylation in cellular progression. Instead of studying the function of a single ubiquitinase, research on a deubiquitinase family with similar catalytic core(s) may provide a new perspective for the pathological understanding of cancer. The Ubiquitin C-terminal hydrolase L (UCHL) family consists of four members: UCHL1, UCHL3, UCHL5, and BRAC1 associated protein-1 (BAP1), and they have been implicated in tumorigenesis and metastasis. Some members are considered hallmarks of intracranial lesions, colon cancer, chromatin remodeling, and histone stability. The present study uncovered an unknown correlation between the UCHL family and renal cancer. We discovered that UCHLs exhibit diverse regulatory effects in renal cancer, establishing connections between the renal cancer and truncated gene mutations, mitochondrial energetic metastasis, immune cell infiltration, and chromosomal stability of UCHLs family. Notably, we found that the increase of UCHL5 expression in renal cancer cells decreases the antigen processing and presentation of RCC tumor-infiltrating B cells. Further research identified that the expression of UCHL5 in RCC tumors is correlated with transport proteins, which led us to find that the abundance of UCHL5 in the blood of late-stage renal cell cancer patients is upregulated from 18 ng/L to 500 ng/L. Therefore, we propose that the abundance of UCHL5 in patients' blood can be a possible indicator of poor prognosis for renal cell cancer.

Ki-67 Labelling Index as a Predictor of Invasive Features in Thyroid Cancer: Retrospective Analysis and Implications.

BACKGROUND: Ki-67 immunostaining is commonly used in neuroendocrine tumors to estimate the proliferative index and for grading. This study investigates its association with the invasiveness of follicular-derived thyroid carcinomas (TCs). METHODS: A retrospective analysis of patients with TC at three McGill University teaching hospitals between January 2018 and November 2023 was conducted. The inclusion criteria included patients with malignant thyroid tumors and accessible Ki-67 LI data from final pathology specimens. The data collected included patient demographics, Ki-67 LI values, and different invasiveness attributes, such as molecular mutations, the histological subtype, lymphovascular invasion (LVI), extrathyroidal extension (ETE), and positive lymph nodes (LNs). RESULTS: In total, 212 patients met the inclusion criteria, of which 80.7% were females and 19.3% were males. The Ki-67 LI ranged from 1% to 30%, with the majority of the cases within the range of 1-15%. A significant association was observed between higher Ki-67 LI and high-risk histological subtypes of thyroid carcinoma (p < 0.001). Similarly, Ki-67 LI was significantly associated with LVI and positive LN metastasis (p < 0.001 and p = 0.036, respectively). However, no significant association was found between the Ki-67 LI and gene mutations or ETE (p = 0.133 and p = 0.190, respectively). Using percentiles to establish a cutoff, patients with a Ki-67 LI higher than 6.7 showed a higher likelihood of being associated with invasive features. CONCLUSION: Elevated Ki-67 LI can serve as an indicator of aggressiveness in follicular-derived TC, especially when associated with distinct histological subtypes, LVI and positive LNs.

Geriatric Nutritional Risk Index as Prognostic Marker for Elderly Patients With Small Cell Lung Cancer.

Background/Aim: The Geriatric Nutritional Risk Index (GNRI) indicates nutritional status based on serum albumin concentration and ideal body weight. Pretreatment GNRI has been suggested as a prognostic factor for various malignancies. However, little is known about the clinical value of GNRI for small-cell lung cancer (SCLC), especially in elderly patients. Patients and Methods: We retrospectively analyzed 53 elderly (≥71) patients with extensive-disease (ED) SCLC treated with first-line platinum-doublet chemotherapy in relation to the pretreatment GNRI level in a real-world setting. Results: Thirty-six patients with a low GNRI (<92) had statistically poorer progression-free survival (PFS) and overall survival (OS) than 17 patients with a high GNRI (≥92) (median PFS=80 days vs. 133 days, respectively; p=0.002; median OS=123 days vs. 274 days, respectively; p=0.004). In a multivariate analysis, a low GNRI was also an independent poor prognostic factor for PFS [hazard ratio (HR)=0.396; 95% confidence interval (CI)=0.199-0.789; p=0.008] and OS (HR=0.295; 95%CI=0.143-0.608; p<0.001). Conclusion: The GNRI might be a predictive and prognostic marker in elderly patients with ED-SCLC treated with platinum-doublet chemotherapy.

A novel prognostic signature related to programmed cell death in osteosarcoma.

Background: Osteosarcoma primarily affects children and adolescents, with current clinical treatments often resulting in poor prognosis. There has been growing evidence linking programmed cell death (PCD) to the occurrence and progression of tumors. This study aims to enhance the accuracy of OS prognosis assessment by identifying PCD-related prognostic risk genes, constructing a PCD-based OS prognostic risk model, and characterizing the function of genes within this model. Method: We retrieved osteosarcoma patient samples from TARGET and GEO databases, and manually curated literature to summarize 15 forms of programmed cell death. We collated 1621 PCD genes from literature sources as well as databases such as KEGG and GSEA. To construct our model, we integrated ten machine learning methods including Enet, Ridge, RSF, CoxBoost, plsRcox, survivalSVM, Lasso, SuperPC, StepCox, and GBM. The optimal model was chosen based on the average C-index, and named Osteosarcoma Programmed Cell Death Score (OS-PCDS). To validate the predictive performance of our model across different datasets, we employed three independent GEO validation sets. Moreover, we assessed mRNA and protein expression levels of the genes included in our model, and investigated their impact on proliferation, migration, and apoptosis of osteosarcoma cells by gene knockdown experiments. Result: In our extensive analysis, we identified 30 prognostic risk genes associated with programmed cell death (PCD) in osteosarcoma (OS). To assess the predictive power of these genes, we computed the C-index for various combinations. The model that employed the random survival forest (RSF) algorithm demonstrated superior predictive performance, significantly outperforming traditional approaches. This optimal model included five key genes: MTM1, MLH1, CLTCL1, EDIL3, and SQLE. To validate the relevance of these genes, we analyzed their mRNA and protein expression levels, revealing significant disparities between osteosarcoma cells and normal tissue cells. Specifically, the expression levels of these genes were markedly altered in OS cells, suggesting their critical role in tumor progression. Further functional validation was performed through gene knockdown experiments in U2OS cells. Knockdown of three of these genes-CLTCL1, EDIL3, and SQLE-resulted in substantial changes in proliferation rate, migration capacity, and apoptosis rate of osteosarcoma cells. These findings underscore the pivotal roles of these genes in the pathophysiology of osteosarcoma and highlight their potential as therapeutic targets. Conclusion: The five genes constituting the OS-PCDS model-CLTCL1, MTM1, MLH1, EDIL3, and SQLE-were found to significantly impact the proliferation, migration, and apoptosis of osteosarcoma cells, highlighting their potential as key prognostic markers and therapeutic targets. OS-PCDS enables accurate evaluation of the prognosis in patients with osteosarcoma.