Potential Prognostic Marker Research Articles

Serum Myostatin Predicts the Risk of Hepatocellular Carcinoma in Patients with Alcoholic Cirrhosis: A Multicenter Study

Abstract Background Sarcopenia, characterized by age-related muscle loss, is common in patients with liver cirrhosis (LC). LC's metabolic burdens include protein and energy metabolism disorders, potentially leading to secondary sarcopenia. This study explores the prognostic role of serum myostatin levels in predicting hepatocellular carcinoma (HCC) development in individuals with alcoholic liver cirrhosis (ALC). Aim of the Work The aim of this study is to investigate the prognostic performance of serum myostatin levels on HCC development in patients with alcoholic liver cirrhosis (ALC). Patients and Methods We conducted a retrospective observational study using stored serum samples from a single center. We analyzed serum myostatin levels and assessed their correlation with HCC development in ALC patients. Results Serum myostatin levels were significantly higher in patients with HCC compared to those without (p < 0.001). Our analysis revealed a significant correlation between baseline myostatin levels and various clinical parameters, including gender (p < 0.0001), serum albumin (p < 0.0001), prothrombin time (PT) (p = 0.0188), serum ammonia (p < 0.002), and Child Pugh score (p < 0.0001). Multivariate Cox analyses identified age, gender, body mass index (BMI), platelet counts, and serum myostatin levels as independent risk factors for HCC development (p < 0.001). Conclusion Elevated serum myostatin levels are associated with an increased risk of HCC development in ALC patients. Myostatin may play a role in hepatic fibrogenesis and carcinogenesis, making it a potential prognostic marker for HCC in this population. A serum myostatin level cutoff of 3.9 ng/ml exhibited high sensitivity (92.3%) and specificity (82.35%) for detecting HCC. These findings suggest that serum myostatin levels could serve as a valuable tool for identifying high-risk ALC patients who may benefit from closer monitoring for HCC development.

Serum thymosin beta 10 level as a potential prognosis prediction of hepatocellular carcinoma and hepatic diseases

Thymosin Beta 10 (TMSB10) is a thymosin family member that has been identified as being overexpressed in a wide variety of human cancers. This study aimed to determine the expression level of TMSB10 in sera of patients with hepatocellular carcinoma (HCC) and liver cirrhosis. And to reveal the association between TMSB10 and different stages in patients with HCC. We also wanted to know how TMSB10 is predictive in HCC patients and its relation to the Barcelona Clinic's staging system. The study included 41 HCC patients, 15 liver cirrhosis patients, and 15 normal control subjects. The enzyme-linked immunosorbent assay was used to determine serum levels of TMSB10 and alpha-fetoprotein (AFP) in serum of normal control individuals and patients with liver cirrhosis and different stages of HCC, and to evaluate the relationship of AFP with TMSB10. The TMSB10 levels in patients with HCC were statistically different than in the control group and in the different stages of HCC. We found a statistically significant difference in the distribution of TMSB10 between the three study groups (p< 0.001). There was an association between TMSB10 concentration and AFP. The level of TMSB10 in the serum of the HCC subgroups was then analyzed. The TMSB10 level increased with the advance of HCC stages. The TMSB10 level in HCC patients did not correlate with levels of liver function tests including aminotransferase, aspartate aminotransferase, albumin, prothrombin, bilirubin, or alkaline phosphatase. In conclusion, serum TMSB10 levels can be used as a potential prognostic marker for clinical stages of HCC.

KIFC1 depends on TRIM37-mediated ubiquitination of PLK4 to promote centrosome amplification in endometrial cancer

Endometrial cancer (EC), as one of the most common cancers, severely threatens female reproductive health. Our previous study has shown that Kinesin family member C1 (KIFC1) played crucial roles in the progression of EC. In addition, abnormal centrosome amplification, which was reported to be partially regulated by KIFC1, usually occurred in different cancers. However, whether KIFC1 promoted EC through centrosome amplification and the potential mechanism remain to be revealed. The present study demonstrated that overexpressed KIFC1, which exhibited a worse prognosis, had a positive correlation with an increased number of centrosomes in human EC samples. In addition, KIFC1 overexpression in EC cells prompted centrosome amplification, chromosomal instability, and cell cycle progression. Moreover, we demonstrated that KIFC1 inhibited E3 ubiquitin-protein ligase TRIM37 to maintain the stability of PLK4 by reducing its ubiquitination degradation, and finally promoting centrosome amplification and EC progression in vitro. Finally, the contributing role of KIFC1 and the inhibitory effect of TRIM37 on EC development and metastasis was verified in a nude mouse xenograft model. Our study elucidated that KIFC1 depends on TRIM37-mediated reduced ubiquitination degradation of PLK4 to promote centrosome amplification and EC progression, thus providing a potential prognostic marker and promising therapeutic target for EC in the future.

Identification of Key Immune and Cell Cycle Modules and Prognostic Genes for Glioma Patients through Transcriptome Analysis.

Gliomas, the most prevalent type of primary brain tumor, stand out as one of the most aggressive and lethal types of human cancer. To uncover potential prognostic markers, we employed the weighted correlation network analysis (WGCNA) on the Chinese Glioma Genome Atlas (CGGA) 693 dataset to reveal four modules significantly associated with glioma clinical traits, primarily involved in immune function, cell cycle regulation, and ribosome biogenesis. Using the least absolute shrinkage and selection operator (LASSO) regression algorithm, we identified 11 key genes and developed a prognostic risk score model, which exhibits precise prognostic prediction in the CGGA 325 dataset. More importantly, we also validated the model in 12 glioma patients with overall survival (OS) ranging from 4 to 132 months using mRNA sequencing and immunohistochemical analysis. The analysis of immune infiltration revealed that patients with high-risk scores exhibit a heightened immune infiltration, particularly immune suppression cells, along with increased expression of immune checkpoints. Furthermore, we explored potentially effective drugs targeting 11 key genes for gliomas using the library of integrated network-based cellular signatures (LINCS) L1000 database, identifying that in vitro, both torin-1 and clofarabine exhibit promising anti-glioma activity and inhibitory effect on the cell cycle, a significant pathway enriched in the identified glioma modules. In conclusion, our study provides valuable insights into molecular mechanisms and identifying potential therapeutic targets for gliomas.

Identification of hsa-miR-193a-5p-SURF4 axis related to the gut microbiota-metabolites- cytokines in lung cancer based on Mendelian randomization study and bioinformatics analysis

BackgroundLung cancer is a significant disease that affects people's physical and mental health. Currently, the treatment outcomes still do not meet clinical needs, and the causes of the disease are still unclear, therefore further exploration is needed.MethodsWe analyzed the exposure factors of lung cancer, including gut microbiota, serum metabolites, and cytokines, through Mendelian randomization studies and bioinformatics analysis. We identified common SNPs and performed gene annotation, leading to the discovery of the key gene SURF4, which may affect the onset of lung cancer. We validated the oncogenic function and mechanism of SURF4 through public data analysis using GO and KEGG, and constructed a ceRNA network, revealing the lung cancer oncogenic pathway involving lncRNA/pseudogene-microRNA-SURF4.ResultsWe first conducted a Mendelian randomization analysis on 418 gut microbiota, 1400 serum metabolites, and 41 cytokines in relation to lung cancer. We found that 16 gut microbiota, 29 serum metabolites, and 2 cytokines were closely associated with lung cancer. Further comparison of all differential SNPs revealed that rs550057 on chromosome 9 was a common SNP among these three exposure factors, indicating its crucial role in lung cancer formation. Through gene functional annotation using R language, we found that the expression of 15 genes, including SURF4, was influenced by rs550057. By querying these 15 genes from public databases for their differential expression and prognosis in lung cancer, we found significant differences in SURF4, MED22, and RPL7A. Furthermore, by querying the expression and correlation coefficients of upstream microRNAs of these three genes through the starBase website, we found that hsa-miR-193a-5p-SURF4 had the most significant effect on lung cancer. Through GO and KEGG analysis of SURF4-related genes, we identified the molecular pathways associated metabolic synthesis and microbial infection related to the promotion of lung cancer by SURF4. This validated the results of the previous Mendelian randomization study. Furthermore, we constructed a ceRNA network for SURF4 and identified two upstream differentially expressed pseudogenes and nine lncRNAs, confirming the functionality of the pseudogene/lncRNA-microRNA-SUFR4 pathway.ConclusionsIn summary, we have elucidated the regulatory role of the pseudogene/lncRNA-microRNA-SUFR4 pathway in the progression of lung cancer, combining the research hotspots of gut microbiota-serum metabolites-cytokines. We have also confirmed the pathway and mechanism through SURF4 and its related genes promoting lung cancer formation. This may provide effective therapeutic methods for lung cancer and serve as a potential prognostic marker.

Triglyceride-glucose index as a predictor of cardiac adverse events in acute coronary syndrome patients undergoing percutaneous coronary intervention: role of diabetes

BackgroundTriglyceride-glucose index (TyG), a surrogate marker of insulin resistance (IR), could be a potential prognostic marker in patients with acute coronary syndromes (ACS). We evaluated the effect of the TyG index on major adverse cardiac and cerebrovascular events (MACCE) in patients with ACS undergoing percutaneous coronary intervention (PCI).MethodsThis registry-based cohort study was conducted at Tehran Heart Center from 2015 to 2021 and the median follow-up duration was 378 days. The primary outcome was MACCE and the secondary outcomes were MACCE components: all-cause mortality, myocardial infarction, stroke, target vessel revascularization, target lesion revascularization, and coronary artery bypass grafting. For comparison among TyG quartiles (Q), the log-rank test was used. Unadjusted and adjusted hazard ratios (HRs) and their 95% confidence intervals (CIs) were used to describe the association between TyG quartiles and MACCE. A subgroup of euglycemic patients was also evaluated.ResultsA total of 13,542 patients were included. Patients in the fourth TyG quartile (Q4) were younger, had higher mean BMI, and higher prevalence of hypertension, diabetes, and dyslipidemia. The adjusted Cox model showed that a 1-unit increment of the TyG index was associated with a significantly higher risk of MACCE (aHR 1.18, 95% CI 1.08 to 1.30, p < 0.001). Among TyG quartiles, there was a higher MACCE incidence in Q4 compared to Q1 (aHR 1.29, 95% CI 1.08 to 1.53, p = 0.005). In the euglycemic subgroup of the population, there was no significant association between MACCE incidence and a 1-unit increase in TyG or among TyG quartiles.ConclusionBased on our findings, while higher TyG levels and quartiles were associated with higher rates of MACCE in ACS, there was no such effect in the euglycemic population. If confirmed in future studies, these results can be beneficial for clinicians to risk stratify these patients with an easy-to-use index and determine clinical plans based on their risk.Graphical abstract

Unveiling Functional Biomarkers in Schizophrenia: Insights from Region of Interest Analysis Using Machine Learning.

Schizophrenia is a complex and disabling mental disorder that represents one of the most important challenges for neuroimaging research. There were many attempts to understand these basic mechanisms behind the disorder, yet we know very little. By employing machine learning techniques with age-matched samples from the auditory oddball task using multi-site functional magnetic resonance imaging (fMRI) data, this study aims to address these challenges. The study employed a three-stage model to gain a better understanding of the neurobiology underlying schizophrenia and techniques that could be applied for diagnosis. At first, we constructed four-level hierarchical sets from each fMRI volume of 34 schizophrenia patients (SZ) and healthy controls (HC) individually in terms of hemisphere, gyrus, lobes, and Brodmann areas. Second, we employed statistical methods, namely, t-tests and Pearson's correlation, to assess the group differences in cortical activation. Finally, we assessed the predictive power of the brain regions for machine learning algorithms using K-nearest Neighbor (KNN), Naive Bayes, Decision Tree (DT), Random Forest (RF), Support Vector Machines (SVMs), and Extreme Learning Machine (ELM). Our investigation depicts promising results, obtaining an accuracy of up to 84% when applying Pearson's correlation-selected features at lobes and Brodmann region level (81% for Gyrus), as well as Hemispheres involving different stages. Thus, the results of our study were consistent with previous studies that have revealed some functional abnormalities in several brain regions. We also discovered the involvement of other brain regions which were never sufficiently studied in previous literature, such as the posterior lobe (posterior cerebellum), Pyramis, and Brodmann Area 34. We present a unique and comprehensive approach to investigating the neurological basis of schizophrenia in this study. By bridging the gap between neuroimaging and computable analysis, we aim to improve diagnostic accuracy in patients with schizophrenia and identify potential prognostic markers for disease progression.

Extrachromosomal circular DNAs in prostate adenocarcinoma: global characterizations and a novel prediction model.

The role of focal amplifications and extrachromosomal circular DNA (eccDNA) is still uncertain in prostate adenocarcinoma (PRAD). Here, we first mapped the global characterizations of eccDNA and then investigate the characterization of eccDNA-amplified key differentially expressed encoded genes (eKDEGs) in the progression, immune response and immunotherapy of PRAD. Circular_seq was used in conjunction with the TCGA-PRAD transcriptome dataset to sequence, annotate, and filter for eccDNA-amplified differentially expressed coding genes (eDEGs) in PRAD and para-cancerous normal prostate tissues. Afterwards, risk models were created and eKDEGs linked to the PRAD prognosis were identified using Cox and Lasso regression analysis. The immune microenvironment of the risk model was quantified using a variety of immunological algorithms, which also identified its characteristics with regard to immunotherapy, immune response, and immune infiltration. In this research, there was no significant difference in the size, type, and chromosomal distribution of eccDNA in PRAD and para-cancerous normal prostate tissues. However, 4,290 differentially expressed eccDNAs were identified and 1,981 coding genes were amplified. Following that, 499 eDEGs were tested in conjunction with the transcriptome dataset from TCGA-PRAD. By using Cox and Lasso regression techniques, ZNF330 and PITPNM3 were identified as eKDEGs of PRAD, and a new PRAD risk model was conducted based on this. Survival analysis showed that the high-risk group of this model was associated with poor prognosis and validated in external data. Immune infiltration analysis showed that the model risks affected immune cell infiltration in PRAD, not only mediating changes in immune cell function, but also correlating with immunophenotyping. Furthermore, the high-risk group was negatively associated with anti-CTLA-4/anti-PD-1 response and mutational burden. In addition, Tumor Immune Dysfunction and Exclusion analyses showed that high-risk group was more prone to immune escape. Drug sensitivity analyses identified 10 drugs, which were instructive for PRAD treatment. ZNF330 and PITPNM are the eKDEGs for PRAD, which can be used as potential new prognostic markers. The two-factor combined risk model can effectively assess the survival and prognosis of PRAD patients, but also can predict the different responses of immunotherapy to PRAD patients, which may provide new ideas for PRAD immunotherapy.

The relationship between tumor budding and survival of patients with breast cancer: A meta-analysis.

Tumor budding has been proposed as a potential prognostic marker in various cancers, but its association with survival outcomes in breast cancer (BC) remains unclear. This meta-analysis aimed to clarify the relationship between tumor budding and survival outcomes in patients with BC. A comprehensive literature search was conducted in PubMed, EMBASE, and Web of Science. Cohort studies examining the association between tumor budding and overall survival (OS) and progression-free survival (PFS) in BC patients were included. Hazard ratios (HRs) and 95% confidence intervals (CIs) were pooled using a random-effects model to account for potential heterogeneity. Eleven cohort studies, including 2,828 patients, met the inclusion criteria. High tumor budding was significantly associated with poorer OS (HR = 1.89, 95% CI = 1.37-2.60, P < 0.001) and PFS (HR = 1.89, 95% CI = 1.32-2.71, P < 0.001). Subgroup analyses revealed a stronger association in studies where high tumor budding was defined as ≥ 10 buds / high-power field (HPF) compared to those with lower cutoffs. Sensitivity analyses confirmed the robustness of the findings. This meta-analysis demonstrates that high tumor budding is associated with significantly worse OS and PFS in BC patients, underscoring its prognostic significance. These findings suggest tumor budding could be a valuable marker in clinical assessments, and further research is needed to standardize its evaluation criteria in BC.

Investigating the Role of Differentially Expressed Genes and Sex-Specific Genes in Lung Adenocarcinoma: A Transcriptomic Analysis

Lung cancer is a life-threatening disease that affects hundreds of thousands of patients every year. While conventional medicine offers effective treatments for lung cancer, the use of targeted therapy can offer patients a more favorable treatment by being as effective and by minimizing the side effects the patient experiences. The purpose of this research is to identify any differentially expressed or sex-specific genes in lung adenocarcinoma (LUAD) that can act as potential targets for treatment. Using transcriptomic profiles of LUAD tissues from The Cancer Genome Atlas, these profiles are analyzed using the TCGABiolinks library on R. The differentially expressed genes are then used to generate gene ontology, create protein association networks, and identify survival plots of genes using Metascape, STRING, and the Human Protein Atlas respectively. Similar procedures were used for the sex-specific analysis. The gene ontology analysis showed that the TFAP2 family of transcription factors and the PID HNF3B pathway likely promote tumorigenesis in LUAD. Moreover, AGER and SFTPC, genes involved in lung development, were underexpressed in all LUAD samples. Patients with a higher expression of these genes had a higher survival rate than others and can act as potential prognostic markers. In sex-specific genes, it was found that members of the MAGE-A family, a testis antigen family, were highly up-regulated in both males and females. The dysregulation of these genes in females might have a specific role in LUAD progression. These findings can be investigated further to develop better therapies to treat the disease.

Hematological Parameters at Baseline: A Novel Prognostic Factor for Cervical Cancer Patients Undergoing Concurrent Chemoradiotherapy in South India.

Introduction In cervical cancer treatment, neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and albumin-globulin ratio (AGR) are being studied as potential prognostic markers for predicting the effectiveness of concurrent chemoradiotherapy (CCRT). This study aims to investigate the relationship between these biomarkers and survival outcomes in cervical cancer patients undergoing CCRT. Materials and methods This retrospective study was conducted at Amrita Institute of Medical Sciences between January 2016 and December 2019. It included patients at any stage who received definitive CCRT and were followed for at least two years post-treatment. Patients who had initial surgery and those lost to follow-up were excluded. Results The study included 123 patients with a median age of 68. Most patients had stage IIB (39%) and squamous cell carcinoma (76.4%). With a median follow-up of 56 months, the five-yearoverall survival (OS) was 66.8%, progression-free survival (PFS) was 94%, and recurrence-free survival (RFS) was 81.2%.AGR (p = 0.001), NLR (p = 0.0001), and PLR (p = 0.001) were found to be significantly associated with OS, NLR (p = 0.002) and AGR (p = 0.001) significantly affected RFS, while only PLR (p = 0.02) significantly affected PFSon univariate analysis. NLRsignificantly impacted OS (p = 0.003) and RFS(p = 0.03) on multivariate analysis. Conclusion The results of our study showed that increased NLR and elevated levels of albumin indicate a higher likelihood of mortality. Furthermore, a higher NLR was linked to an increased probability of recurrence in patients with cervical cancer who received primary treatment with CCRT. Therefore, the identification of predictive biomarkers could significantly improve the assessment of progression risk, aiding in the selection of the most suitable treatment and personalized therapy.

MISP-mediated enhancement of pancreatic cancer growth through the Wnt/β-catenin signaling pathway is suppressed by Fisetin

Pancreatic cancer is a highly malignant tumor characterized by high mortality and low survival rates. The mitotic interactor and substrate of Plk1 (MISP) is a cancer-associated protein that regulates mitotic spindle localization and is highly expressed in several malignant tumors, contributing to tumor development. However, the function and regulatory mechanisms of MISP in pancreatic cancer remain unclear. In this study, we analyzed RNA sequencing data related to pancreatic cancer from the TCGA and GEO databases, identifying MISP as a potential prognostic marker for the disease. MISP was significantly upregulated in pancreatic cancer cells and tissues compared to normal pancreatic cells and tissues. Notably, in pancreatic cancer cells, high MISP protein expression promoted cell proliferation and growth. Mechanistically, the upregulation of MISP facilitated the nuclear accumulation of β-catenin, thereby activating the Wnt/β-catenin signaling pathway and promoting pancreatic cancer growth. In search of effective inhibitors of MISP expression, we screened an FDA-approved drug library and identified Fisetin as a potential suppressor of MISP expression. Fisetin was found to downregulate the transcription factor MYB, thereby reducing MISP expression. Further experiments demonstrated that Fisetin effectively inhibited the in vitro and in vivo growth of pancreatic cancer by suppressing the MISP/Wnt/β-catenin signaling axis. In summary, our research has identified MISP as a novel therapeutic target in pancreatic cancer and uncovered its associated regulatory mechanisms.

SOX9 promotes hypoxic pulmonary hypertension through stabilization of DPP4 in pulmonary artery smooth muscle cells

Pulmonary hypertension (PH) is a progressive cardiopulmonary disorder characterized by pulmonary vascular remodeling (PVR), primarily due to the excessive proliferation of pulmonary artery smooth muscle cells (PASMCs). This study aimed to investigate the role and molecular mechanism of SOX9 in hypoxic PH in rats. The findings revealed that SOX9 was upregulated in the pulmonary arteries and PASMCs of hypoxia-exposed rats. SOX9 knockdown inhibited hypoxia-induced proliferation and migration of PASMCs, reduced PVR, and subsequently alleviated hypoxia-induced PH in rats, suggesting that SOX9 plays a critical role in PH. Further investigation demonstrated that SOX9 interacted with DPP4, preventing its ubiquitin degradation in hypoxia-exposed PASMCs. DPP4 knockdown inhibited hypoxia-induced PASMC proliferation and migration, and administration of the DPP4 inhibitor sitagliptin (5 mg/kg) significantly reduced PVR and alleviated hypoxia-induced PH in rats, indicating that SOX9 contributes to PH by stabilizing DPP4. The results also showed that hypoxia induced YAP1 expression and dephosphorylation, leading to YAP1 nuclear localization. YAP1 knockdown promoted the degradation of HIF-1α in hypoxia-exposed PASMCs and inhibited hypoxia-induced proliferation and migration of PASMCs. Additionally, HIF-1α, as a transcription factor, promoted SOX9 expression by binding to the SOX9 promoter in hypoxia-exposed PASMCs. In conclusion, hypoxia promotes the proliferation and migration of PASMCs through the regulation of the YAP1/HIF-1α/SOX9/DPP4 signaling pathway, leading to PH in rats. These findings suggest that SOX9 may serve as a potential prognostic marker and therapeutic target for PH.

PLXDC1 serves as a potential prognostic marker and involves in malignant progression and macrophage polarization in colon cancer.

The malignant behavior and immune escape ability of cancer cells lead to therapeutic failure and poor prognosis for patients with various cancers, including colon cancer. Plexin domain containing 1 (PLXDC1) was initially identified to exert key roles in tumor by regulating angiogenesis and has recently proved to be involved in cell proliferation and migration of glioblastoma and gastric cancer cells. However, its roles in colon cancer remain unclear. In this study, the online bioinformatics databases confirmed high expression of PLXDC1 in colon cancer specimens, which was associated with cancer stages and nodal metastasis. Similarly, the increased expression of PLXDC1 was also validated in our collected samples and colon cancer cells. Moreover, patients with high expression of PLXDC1 had shorter survival, indicating that PLXDC1 might be a potential prognostic predictor for colon cancer patients. Notably, targeting PLXDC1 inhibited cancer cell viability and invasion, and enhanced cell apoptosis. Intriguingly, Tumor Immune Estimation Resource database confirmed that PLXDC1 expression was related to various tumor-infiltrating immune cells in colon adenocarcinoma including macrophages, and its expression was also correlated with M2-like macrophage markers. In vitro, colon cancer cells with PLXDC1 downregulation had a reduced ability to recruit and polarize macrophage towards M2 phenotype by decreasing the percentage of CD206+ cells and M2-like markers (CD206, CD163, arginase1, and interleukin 10 [IL-10]). Moreover, PLXDC1 knockdown attenuated M2 macrophage-mediated promotion in cancer cell viability and invasion. Mechanically, inhibition of PLXDC1 suppressed activation of the IL-6/Signal transducer and activator of transcription 3 (STAT3) signaling. Reactivating the above pathway by transfection with IL-6 plasmids reversed the suppressive effects of PLXDC1 knockdown on cancer cell malignant behaviors, macrophage recruitment and M2-like polarization. Thus, PLXDC1 downregulation may inhibit the malignancy of colon cancer cells and their ability to recruit and polarize macrophages towards M2 phenotype by blocking the IL-6/STAT3 pathway. Together, targeting PLXDC1 may attenuate the progression of colon cancer by direct roles in cancer cells and indirect roles in macrophage polarization, representing a promising therapeutic target for colon cancer patients.

Pan-cancer analysis of m1A writer gene RRP8: implications for immune infiltration and prognosis in human cancers

BackgroundRibosomal RNA Processing 8 (RRP8) is a gene associated with RNA modification and has been implicated in the development of several types of tumors in recent research. Nevertheless, the biological importance of RRP8 in pan-cancer has not yet been thoroughly and comprehensively investigated.MethodsIn this study, we conducted an analysis of various public databases to investigate the biological functions of RRP8. Our analysis included examining its correlation with pan-cancer prognosis, heterogeneity, stemness, immune checkpoint genes, and immune cell infiltration. Furthermore, we utilized the GDSC and CTRP databases to assess the sensitivity of RRP8 to small molecule drugs.ResultsOur findings indicate that RRP8 exhibits differential expression between tumor and normal samples, particularly impacting the prognosis of various cancers such as Adrenocortical carcinoma (ACC) and Kidney Chromophobe (KICH). The expression of RRP8 is intricately linked to tumor heterogeneity and stemness markers. Additionally, RRP8 shows a positive correlation with the presence of tumor-infiltrating cells, with TP53 being the predominant mutated gene in these malignancies.ConclusionOur findings suggest that RRP8 may serve as a potential prognostic marker and therapeutic target in a variety of cancer types.

Circulating Polyploid Giant Cancer Cells, a Potential Prognostic Marker in Patients with Carcinoma.

Polyploid Giant Cancer Cells (PGCCs) have been recognized as tumor cells that are resistant to anticancer therapies. However, it remains unclear whether their presence in the bloodstream can be consistently detected and utilized as a clinical marker to guide therapeutic anticancer regimens. To address these questions, we conducted a retrospective study involving 228 patients diagnosed with six different types of carcinomas (colon, gastric, NSCLC, breast, anal canal, kidney), with the majority of them (70%) being non-metastatic. Employing a highly sensitive liquid biopsy approach, ISET®, and cytopathological readout, we isolated and detected circulating PGCCs in the patients' blood samples. PGCCs were identified in 46 (20.18%) out of 228 patients, including in 14.47% of 152 non-metastatic and 29.85% of 67 metastatic cases. Patients were subsequently monitored for a mean follow up period of 44.74 months (95%CI: 33.39-55.79 months). Remarkably, the presence of circulating PGCCs emerged as a statistically significant indicator of poor overall survival. Our findings suggest that circulating PGCCs hold promise as a reliable prognostic indicator. They underscore the importance of further extensive investigations into the role of circulating PGCCs as a prognostic marker and the development of anti-PGCC therapeutic strategies to improve cancer management and patient survival.

Metabolic score for insulin resistance as a predictor of mortality in heart failure with preserved ejection fraction: results from a multicenter cohort study

BackgroundThe metabolic score for insulin resistance (METS-IR) has been validated as a novel, simple, and reliable surrogate marker for insulin resistance; however, its utility for evaluating the prognosis of heart failure with preserved ejection fraction (HFpEF) remains to be elucidated. Therefore, we aimed to analyze the association between METS-IR and the long-term prognosis of HFpEF.MethodsWe enrolled a total of 4,702 participants with HFpEF in this study. The participants were divided into three groups according to METS-IR tertiles: (Ln [2 × fasting plasma glucose + fasting triglycerides] × body mass index) / (Ln [high-density lipoprotein cholesterol]). The occurrence of primary endpoints, including all-cause mortality and cardiovascular (CV) death, was documented.ResultsThere were 3,248 participants with HFpEF (mean age, 65.7 ± 13.8 years; male, 59.0%) in total who were included in the final analysis. The incidence of primary outcomes from the lowest to the highest METS-IR tertiles were 46.92, 86.01, and 124.04 per 1000 person-years for all-cause death and 26.75, 49.01, and 64.62 per 1000 person-years for CV death. The multivariate Cox hazards regression analysis revealed hazard ratios for all-cause and CV deaths of 2.48 (95% CI 2.10–2.93; P < 0.001) and 2.29 (95% CI 1.83–2.87; P < 0.001) when the highest and lowest METS-IR tertiles were compared, respectively. In addition, the predictive efficacy of METS-IR remained significant across various comorbidity subgroups (all P < 0.05). Further, adding the METS-IR to the baseline risk model for all-cause death improved the C-statistic value (0.690 for the baseline model vs. 0.729 for the baseline model + METS-IR, P < 0.01), the integrated discrimination improvement value (0.061, P < 0.01), the net reclassification improvement value (0.491, P < 0.01), and the clinical net benefit.ConclusionsAn elevated METS-IR, which is associated with an increased mortality risk, is a potential valuable prognostic marker for individuals with HFpEF.

Prognostic Value of the Lactate/Albumin Ratio for 28-Day Mortality in Pediatric Septic Shock: A Prospective Cohort Study.

Background Septic shock remains a leading cause of mortality in children. The lactate/albumin ratio (LAR) has emerged as a potential prognostic marker for mortality in septic shock, yet most existing research focuses on adults, with limited data available for pediatric populations, particularly in Vietnam. Objectives This study aims to evaluate the prognostic utility of the LAR in predicting 28-day mortality among children aged two months to 15 years with septic shock in Vietnam. Methods We conducted a prospective cohort study involving children diagnosed with septic shock at the largest pediatric intensive care unit (PICU) in the Mekong Delta, Vietnam, from July 2022 to June 2024. Clinical and laboratory parameters, including lactate and albumin levels, were measured at the time of septic shock diagnosis. Patients were followed for 28 days, with outcomes categorized as either survival or mortality. The prognostic performance of LAR was assessed through its discrimination and calibration capabilities. Results The 28-day mortality rate was 63.4%. LAR was significantly higher in non-survivors compared to survivors (p < 0.001). The area under the receiver operating characteristic curve (AUROC) for LAR was 0.91, indicating superior discriminatory power compared to lactate alone and comparable to albumin. Using a Youden index-derived cut-off of 1.84, LAR demonstrated a sensitivity of 84.6% and a specificity of 80%. Kaplan-Meier analysis and log-rank testing revealed significantly lower survival probabilities in children with LAR ≥1.84 (p < 0.05). The Hosmer-Lemeshow test confirmed good calibration of LAR in mortality prediction (p > 0.05). Conclusion The lactate/albumin ratio exhibits excellent discriminatory and calibration properties, making it a valuable tool for predicting 28-day mortality in pediatric septic shock. This ratio should be considered for routine use in clinical practice to improve prognostic assessments in this vulnerable population.

Prostate cancer subtyping and differential methylation analysis based on the ETS family of transcription factors fusion genes

Prostate cancer (PCa) is a highly heterogeneous disease, encompassing various molecular and clinical pathological subtypes. Fusion genes play a facilitating role in the occurrence and progression of PCa. We categorized PCa samples into the ETS family of transcription factors fusion positive and fusion negative subtypes based on fusion genes. This subtyping method is closely related to the epigenomic DNA methylation profiles of PCa, with each sample cluster including more than 85% of the patients. We conducted an analysis of the distribution of the ETS family fusion genes on chromosomes, fusion modes within reading frames, and predictions of structural domains. Among these, the highest frequency of the ETS family related fusion genes occurred on chromosome 21. Compared to the parental genes, fusion genes exhibited new structural domains, such as IG_like, and the most common fusion mode was out-of-frame fusion. The correlation between the methylation levels of hypermethylated CpG sites and the expression levels of their corresponding mRNAs indicates that CD8A and B3GNT5 (with correlations of − 0.388 and − 0.253, respectively) could serve as potential prognostic markers for PCa.

Exploring the Usefulness of Tumor Budding as a Histopathological Marker Compared to Tumor-Node-Metastasis (TNM) Staging in Breast Cancer.

Tumor budding, defined as small clusters of tumor cells at the invasive front of carcinomas, has gained attention as a potential prognostic marker in various cancers. This study aimed to evaluate the utility of tumor budding as a histopathological marker in breast cancer and compare it to traditional prognostic markers such as histological grading, tumor-node-metastasis (TNM) staging, and molecular subtypes. A prospective, cross-sectional study was conducted over two years (June 2022 to May 2024) in the Department of Pathology at Jawaharlal Nehru Medical College, Wardha. Seventy-two female patients diagnosed with breast carcinoma who underwent modified radical mastectomy were included. Tumor budding was assessed through histopathological analysis and categorized as high or low. Statistical correlations were established between tumor budding and tumor size, histological grade, lymph node involvement, vascular invasion, and molecular subtypes (estrogen receptor, progesterone receptor, human epidermal growth factor receptor 2, and triple-negative breast cancer, TNBC). The chi-square test and multiple regression analyses were applied to assess significance. High tumor budding was observed in 68.1% of patients and was significantly associated with larger tumor size (p = 0.040), higher histological grade (p = 0.009), lymph node metastasis (p = 0.002), and vascular invasion (p = 0.003). The postmenopausal age group (>55 years) demonstrated a higher prevalence of high budding (p = 0.010). No significant correlation was found between tumor budding and molecular subtypes (p = 0.39), although high budding was more frequent in TNBCcases. Tumor budding is significantly associated with more aggressive tumor characteristics in breast cancer. Incorporating tumor budding into routine pathological assessments alongside TNM staging and histological grading may enhance the ability to identify high-risk patients and guide treatment strategies. Further large-scale, multicenter studies are warranted to confirm its prognostic value.