Potential Biomarker For Prognosis Research Articles

Transcriptome-based network analysis related to regulatory T cells infiltration identified RCN1 as a potential biomarker for prognosis in clear cell renal cell carcinoma.

Regulatory T cells (Tregs) play a critical role in shaping the immunosuppressive microenvironment within tumors. Investigating the role of Tregs in Clear cell renal cell carcinoma (ccRCC) is crucial for identifying prognostic markers and therapeutic targets for ccRCC. Weighted gene co-expression network analysis (WGCNA) was utilized to pinpoint modules related to Treg infiltration in TCGA-KIRC samples. Following this, consensus clustering was employed to derive two clusters associated with Treg infiltration in ccRCC. A prognostic model was then developed using the gene module associated with Treg infiltration. We then evaluated the ability of the prognostic model to predict ccRCC overall survival and demonstrated that RCN1 can be used as a target to predict ccRCC prognosis. We deduce that the two clusters associated with Treg infiltration exhibit distinct compositions of the immune microenvironment, pathway activations, prognosis, and drug sensitivities commonly utilized in ccRCC treatment. Furthermore, a 7-gene model risk score, developed based on ccRCC Treg infiltration, proved to be a reliable prognostic marker in both training and validation cohorts. Additionally, survival analysis indicated that RCN1 serves as a reliable prognostic factor for ccRCC. Single-cell sequencing analysis revealed that RCN1 is predominantly expressed in tumor cells. A pan-cancer analysis highlighted that RCN1 is linked with poor prognosis and the activation of inflammatory response pathways across various cancers. We developed a prognostic model associated with Treg infiltration, which facilitates the clinical categorization of ccRCC progression. Moreover, our findings underscore the significant potential of RCN1 as a ccRCC biomarker.

The role of genetic and epigenetic modifications as potential biomarkers in the diagnosis and prognosis of thyroid cancer

Thyroid cancer (TC) is the most common endocrine cancer, which contributes to more than 43,600 deaths and 586,000 cases worldwide every year. Among the TC types, PTC and FTC comprise 90% of all TCs. Genetic modifications in genes are responsible for encoding proteins of mitogen-associated protein kinase cascade, which is closely related with numerous cellular mechanisms, including controlling programmed cell death, differentiation, proliferation, gene expression, as well as in genes encoding the PI3K (phosphatidylinositol 3-kinase)/protein kinase B (AKT) cascade, which has contribution in controlling cell motility, adhesion, survival, and glucose metabolism, have been associated with the TC pathogenesis. Various genetic modifications including BRAF mutations, RAS mutations, RET mutations, paired-box gene 8/peroxisome proliferator-activated receptor-gamma fusion oncogene, RET/PTC rearrangements, telomerase reverse transcriptase mutations, neurotrophic tyrosine receptor kinase fusion genes, TP53 mutations, and eukaryotic translation initiation factor 1A X-linked mutations can effectively serve as potential biomarkers in both diagnosis and prognosis of TC. On the other hand, epigenetic modifications can lead to aberrant functions or suppression of a range of signalling cascades, which can ultimately result in cancer. Various studies have observed the link between epigenetic modification and multiple cancers including TC. It has been reported that several epigenetic alterations including histone modifications, aberrant DNA methylation, and epigenetic modulations of non-coding RNAs can play significant roles as potential biomarkers in the diagnosis and prognosis of TC. Therefore, a good understanding regarding the genetic and epigenetic modifications is not only essential for the diagnosis and prognosis of TC, but also for the development of novel therapeutics. In this review, most of the major TC-related genetic and epigenetic modifications and their potential as biomarkers for TC diagnosis and prognosis have been extensively discussed.

Epigenetic Landscape of DNA Methylation in Pancreatic Ductal Adenocarcinoma

Pancreatic ductal adenocarcinoma (PDAC) remains one of the most lethal malignancies, characterized by its aggressive progression and dismal prognosis. Advances in epigenetic profiling, specifically DNA methylation analysis, have significantly deepened our understanding of PDAC pathogenesis. This review synthesizes findings from recent genome-wide DNA methylation studies, which have delineated a complex DNA methylation landscape differentiating between normal and cancerous pancreatic tissues, as well as across various stages and molecular subtypes of PDAC. These studies identified specific differentially methylated regions (DMRs) that not only enhance our grasp of the epigenetic drivers of PDAC but also offer potential biomarkers for early diagnosis and prognosis, enabling the customization of therapeutic approaches. The review further explores how DNA methylation profiling could facilitate the development of subtype-tailored therapies, potentially improving treatment outcomes based on precise molecular characterizations. Overall, leveraging DNA methylation alterations as functional biomarkers holds promise for advancing our understanding of disease progression and refining PDAC management strategies, which could lead to improved patient outcomes and a deeper comprehension of the disease’s underlying biological mechanisms.

Comprehensive Analysis and Experimental Validation of HEPACAM2 as a Potential Prognosis Biomarker and Immunotherapy Target in Colorectal Cancer.

The role of HEPACAM family member 2 (HEPACAM2) is unclear in colorectal cancer (CRC). The objective of this study was to perform an extensive examination of HEPACAM2 and validate it experimentally in CRC. This study investigated the significance of HEPACAM2 in CRC and its potential diagnostic utility utilizing data from the Cancer Genome Atlas (TCGA) database. Additionally, the study examined potential regulatory networks involving HEPACAM2, including its associations with immune infiltration, immune checkpoint genes, tumor mutational burden (TMB), microsatellite instability (MSI), mRNA expression-based stemness index (mRNAsi), and drug sensitivity in CRC. The expression of HEPACAM2 was further validated using the GSE89076 dataset, and quantitative reverse transcription PCR (qRT-PCR) was employed to confirm HEPACAM2 expression levels in six pairs of CRC tissue samples. HEPACAM2 exhibited abnormal expression patterns in various types of cancer, including CRC. A decrease in HEPACAM2 expression levels in CRC was found to be significantly correlated with the T stage (p < 0.001). Reduced HEPACAM2 expression in CRC patients was also linked to poorer overall survival (OS) (p = 0.007). The expression levels of HEPACAM2 in CRC patients were identified as an independent prognostic factor (p = 0.016). Furthermore, HEPACAM2 was associated with TCF-dependent signaling in response to WNT, G2/M checkpoints, and other pathways. The expression of HEPACAM2 in CRC was found to be associated with immune infiltration, immune checkpoint genes, TMB / MSI, and mRNAsi. Additionally, the expression of HEPACAM2 in CRC was significantly and inversely correlated with the drug sensitivities to gw772405x and 6-phenyl-6h-indeno[1,2-c]isoquinoline-5,11-dione. qRT-PCR confirmed that the expression level of HEPACAM2 was found to be lowly expressed in CRC tissues. These findings suggest that HEPACAM2 may serve as a potential prognostic biomarker and immunotherapeutic target for CRC patients.

LDH-C4 is a potential autophagy-related prognosis biomarker with functional significance in cervical cancer

LDH-C4 is a potential autophagy-related prognosis biomarker with functional significance in cervical cancer

Metabolomic biomarkers in amniotic fluid for early diagnosis of preterm birth and fetal growth restriction.

Preterm birth, affecting about 10% of pregnancies, significantly contributes to perinatal morbidity and mortality. Recent research indicates that metabolomics could enhance pregnancy outcomes and reduce costs by identifying biomarkers related to common pregnancy complications. Our team focused on analyzing amniotic fluid collected during the second trimester to identify potential biomarkers for preterm birth using 1H-NMR metabolomic analysis. We compared amniotic fluid samples from women who delivered prematurely with those who delivered at term. Multivariate principal component analysis revealed dimethylglycine, glucose, myo-inositol, and succinic acid as potential biomarkers for preterm birth prognosis and early diagnosis. Further analysis demonstrated distinct regulation patterns of these metabolites in relation to fetal growth centiles. For instance, dimethylglycine and glucose were upregulated in fetuses above the 20th centile, while citrate and succinate were upregulated in those below it. With Area Under the Curve (AUROC) values over 0.75 and p-values less than 0.05, these metabolites show promise as reliable biomarkers for predicting fetal growth restriction. This approach could significantly impact maternal-fetal medicine by facilitating early diagnosis and personalized interventions. Future research should focus on validating these findings in larger populations and exploring the underlying mechanisms of metabolite regulation.

Investigation the Role of Calcium and Vitamin D3 And Some Biochemical Parameters in Patients with Renal Failure of Renal Failure

Coronavirus Disease 2019 is a primarily respiratory illness that can cause thrombotic disorders. Elevation of D-dimer is a potential biomarker for poor prognosis in COVID-19, though optimal cutoff value for D-dimer to predict mortality has not yet been established. This study aims to assess the accuracy of admission D-dimer in the prognosis of COVID-19 and to establish the optimal cutoff D-dimer value to predict hospital mortality. Clinical and laboratory parameters and outcomes of confirmed COVID-19 cases admitted to four hospitals in Kathmandu were retrospectively analyzed. Admitted COVID-19 cases with recorded D-dimer and definitive outcomes were included consecutively. D-dimer was measured using immunofluorescence assay and reported in Fibrinogen Equivalent Unit (μg/ml). The receiver operating characteristic curve was used to determine the accuracy of D-dimer in predicting mortality, and to calculate the optimal cutoff value, based on which patients were divided into two groups and predictive value of D-dimer for mortality was measured. D-dimer levels were higher in COVID-19 patients and were related with markers of inflammation, and after treatments, D-dimer levels decreased which was synchronous with hsCRP levels in patients with good clinical prognosis. Also, the low correlation between Padua VTE score and D-dimer levels weakened the role of D-dimer in the prediction of thrombosis.The abnormal changes of D-dimer and inflammatory factors suggest that aggressive anticoagulant therapy might be needed.

The Diagnostic Potential of Extracellular Vesicles Derived From the Blood Plasma of Glioblastoma Patients.

Biomarkers for patients suffering from glioblastoma (GBM) are scarce. Extracellular vesicles (EV) are a promising candidate for a potential biomarker. Therefore, EV concentration could be a potential biomarker of tumor burden, volume, and prognosis. Large EV (lEV) and small EV (sEV) were isolated from 36 GBM patients' blood plasma by differential centrifugation. Nanoparticle tracking was used to measure EV concentration. Quantitative analysis of tumor volume was performed by evaluating T2/FLAIR relaxation times. The mean size of lEV was 173.3 nm ± 18.2 nm, while sEV measured 148.3 ± 9.0 nm. Patients with higher lEV concentrations showed a trend towards longer overall survival (36.1 vs. 16.5 months, p=0.08). Regarding inflammatory markers, higher leukocyte count was positively correlated with higher sEV concentration (r2=0.3887, DF 21, p=0.0015). No significant relationship was found between lEV or sEV concentration and tumor volume. Overall EV concentration in the peripheral blood is not a predictor of tumor volume. sEV concentration is associated with a potential pro-inflammatory metabolism.

Changes in blood metabolomes as potential biomarkers for severity and prognosis in doxorubicin-induced heart failure: a study in HER2-positive and HER2-negative breast cancer patients

Abstract Background The use of doxorubicin for breast cancer treatment is often limited due to cardiotoxicity. Doxorubicin was shown to cause the alterations of cardiac metabolome levels in doxorubicin-treated rats. Interestingly, these changes were robustly associated with the development of doxorubicin-induced heart failure. Unfortunately, measurements of cardiac metabolome levels are rarely possible in humans. Hence, non-invasive biomarkers as representatives of doxorubicin-induced heart failure are required in clinical research and practice. Human epidermal growth factor receptor 2 (HER2) is a point of interest in breast cancer treatment. HER2 is associated with tumor aggressiveness. However, it was observed that HER2 protected against systemic oxidative stress and dilated cardiomyopathy. Therefore, we hypothesized that the alterations of blood metabolome levels and cardiac functions following doxorubicin treatment were different between HER2-positive and HER2-negative breast cancer patients. Purpose We determined the potential roles of changes in blood metabolomes as severity and prognostic markers of doxorubicin-induced heart failure. In addition, the changes in blood metabolomes and cardiac parameters following doxorubicin treatment in HER2-positive and HER2-negative breast cancer patients were compared. Methods HER2-positive (n=37) and HER2-negative (n=37) breast cancer patients were enrolled. Echocardiography, heart rate variability, and blood collection were performed at baseline and 2 weeks after completion of doxorubicin treatment in all patients, as well as at 3 months after completion of doxorubicin treatment in HER2-negative breast cancer patients. Blood obtained at all 3 time points was processed for measuring cardiac injury markers. Blood obtained at baseline and 2 weeks after completion of doxorubicin treatment was also processed for measuring oxidative stress in peripheral blood mononuclear cells using flow cytometry and 85 metabolome levels in plasma using mass spectrometry-based targeted metabolomics. Results Cardiac injury and systolic dysfunction at 2 weeks after completion of doxorubicin treatment were comparable between HER2-positive and HER2-negative breast cancer patients. However, only HER2-negative breast cancer patients exhibited increased systemic oxidative stress and cardiac autonomic dysfunction at this time point. Moreover, 33 and 29 blood metabolomes were altered at 2 weeks after completion of doxorubicin treatment in HER2-positive and HER2-negative breast cancer patients, respectively (Figure). Interestingly, the changes in most of these metabolomes were correlated with the changes in cardiac parameters, both at 2 weeks and 3 months after completion of doxorubicin treatment (Figure). Conclusions The changes in blood metabolomes following doxorubicin treatment were dependent on HER2 status, which might be served as severity and prognostic markers of doxorubicin-induced heart failure.

Characterization of mitochondrial DNA mutations in colorectal cancer progression by in silico approach and use as potential biomarkers for diagnosis and prognosis

BackgroundMitochondrial DNA variants are significant contributors to cancer progression, as evidenced by numerous findings. This study focuses on characterizing mitochondrial DNA mutations in colorectal cancer progression and their potential as biomarkers.MethodologyNext generation sequencing technology was employed to analyze mitochondrial DNA variants in tumor and adjacent normal tissues from 25 patients with colon/rectal cancer. In silico prediction tools (SIFT, Polyphen2, Mutation Assessor, and SNP&GO) were utilized to assess the pathogenicity of these variants. Additionally, homology modeling of mutated protein structures was conducted, and molecular dynamic simulations were performed to assess the impact of mutation on protein function.ResultsEighteen variants were identified across most tumor tissue samples, located in genes from Complex I, IV, and V. Among the identified variants, the V302M and S461 mutations in the MT-ND5 gene and L137F and L220P mutations in the ATP6 gene were predicted to be deleterious, potentially affecting protein function. 3D structural analysis of both wild-type and mutant proteins of MT-ND5 revealed changes in flexibility for the V302M and S461G mutations. The MT-ATP6 mutations L135F and L220P disrupt the interactions with surrounding residues and affect the overall function of protein. Further changes in protein dynamics of the mutated proteins by molecular dynamic simulations also indicate the effects; the mutations have on protein function.ConclusionMT-ND5 and MT-ATP6 variants could serve as potential biomarkers and drug targets in colorectal cancer. This study underscores the significance of mitochondrial DNA variants in cancer progression.

Serum Exosomal MiR-874 as a Potential Biomarker for Nonsmall Cell Lung Cancer Diagnosis and Prognosis

AbstractLung cancer, primarily nonsmall cell lung cancer (NSCLC), is a leading cause of cancer-related fatalities globally. Due to late detection, the 5-year survival rate for NSCLC remains low. Therefore, the current research aimed to assess the diagnostic and prognostic value of serum exosomal miR-874 levels in NSCLC patients. This study involved 161 NSCLC patients and 80 control subjects. Blood samples were collected from all participants, and serum exosomal MiR-874 levels were quantified using quantitative reverse transcription-polymerase chain reaction. The study revealed a significant decrease in MiR-874 levels among NSCLC patients compared to controls. The receiver operating characteristic analysis demonstrated the diagnostic value of serum exosomal MiR-874 in effectively distinguishing NSCLC patients from controls.Furthermore, associations were observed between serum exosomal MiR-874 expression and adverse clinical factors such as young age, male sex, smoking, high tumor grade, squamous cell carcinoma histopathology, advanced tumor stage, and lymphatic involvement. Patients with high levels of MiR-874 had significantly longer overall and disease-free survival compared to those with lower levels. The study demonstrates that levels of serum exosomal miR-874 are considerably lower in NSCLC patients, indicating its potential as a diagnostic biomarker. The study's findings suggest that the expression of MiR-874 may predict the prognosis of NSCLC patients based on clinical features.

Acetylation of Histone H3 in Cancer Progression and Prognosis.

Cancer is a multifactorial disease resulting from both genetic factors and epigenetic changes. Histone acetylation, a post-translational modification, which alters chromatin architecture and regulates gene expression is associated with cancer initiation, development and progression. Aberrations in global histone acetylation levels are observed in various cancer cells and are also associated with patients' tumor aggressiveness. Therefore, histone acetylation may have prognostic utility and serve as a potential biomarker of cancer progression and patients' prognosis. The reversible modification of histones by an acetyl group is versatile. One particular histone can be acetylated on different lysine residues, subsequently resulting in different biological outcomes. Here, we discuss recent findings on the acetylation of the highly conserved histone protein H3 in the context of cancer biology. Specifically, we review the acetylation of particular H3 residues in various cancer types. We further highlight the significance of H3 acetylation levels as a potential cancer biomarker with prognostic implications.

The clinicopathological and prognostic significance of PSMD14 in cancers based on bioinformatics and meta-analysis.

Aim: To evaluate the clinic-pathological features and prognostic value regarding PSMD14 in cancers.Materials & methods: Literature was gathered from public databases until 22June2023 to analyze data on survival rates and clinicopathological characteristics associated with PSMD14. TCGA and GEO data were also utilized for validation.Results: Eight reports on seven types of tumors showed that high PSMD14 expression was linked to poorer overall survival and disease-free survival. PSMD14 expression also correlated with larger tumor size, differentiationand metastasis, as well as the effectiveness of various chemotherapy drugs.Conclusion: PSMD14 could serve as a potential biomarker of poor prognosis in cancers, including lung cancer, head and neck squamous cell carcinoma, ovarian cancer, breast cancer and hepatocellular carcinoma.

Serum ACSL4 levels in prostate cancer patients and its relationship between patient prognosis: A prospective observational study.

In this prospective observational study, our objective was to investigate the serum levels of Acyl-CoA synthetase long-chain family member 4 (ACSL4) in prostate cancer (PCa) patients and examine its association with other serum biomarkers, and the clinical outcomes of PCa patients. This prospective observational study was conducted from January 2019 to October 2021, including 103 cases of PCa patients and 101 cases of benign prostate hyperplasia (BPH) patients who received treatment at our hospital. All patients had their serum ACSL4 levels measured using enzyme-linked immunosorbent assay before treatment. The clinical outcomes included age, body mass index, gender, systolic blood pressure, diastolic blood pressure, tumor node metastasis stage, Gleason scores, and prostate volume and serum biomarkers were collected. All patients were followed up for 36 months, the overall survival and disease-free survival were recorded for all patients. All data used SPSS 26.0 for analysis. The phosphorus (P) and serum low-density lipoprotein cholesterol levels were significantly higher in PCa patients compared to BPH patients. Furthermore, compared to the BPH patients, the serum ACSL4 and free prostate-specific antigen levels were significantly decreased while serum total prostate-specific antigen (tPSA) levels were significantly elevated in PCa patients. Pearson correlation analysis showed a positive correlation between ACSL4 levels and free prostate-specific antigen levels, while a negative correlation was observed with P and tPSA levels. ACSL4 might serve as a biomarker for diagnosing PCa with the AUC was 0.747, cutoff value of 33.68 ng/mL, sensitivity of 70.3%, and specificity of 60.2%. Finally, we found that ACSL4, tPSA, and P were identified as risk factors associated with PCa patients. Our findings indicated that the serum levels of ACSL4 were significantly decreased in PCa patients compared to BPH patients. Serum ACSL4 could be used as a potential biomarker for early PCa diagnosis and prognosis.

Pan-cancer analysis of the prognostic and immunological roles of SHP-1/ptpn6

SHP-1, a nonreceptor protein tyrosine phosphatase encoded by ptpn6, has been regarded as a regulatory protein of hematopoietic cell biology for years. However, there is now increasing evidence to support its role in tumors. Thus, the role of ptpn6 for prognosis and immune regulation across 33 tumors was investigated, aiming to explore its functional heterogeneity and clinical significance in pan-cancer. Differential expression of ptpn6 was found between cancer and adjacent normal tissues, and its expression was significantly correlated with the prognosis of tumor patients. In most cancers, ptpn6 expression was significantly associated with immune infiltration. This was further confirmed by ptpn6-related genes/proteins enrichment analysis. Additionally, genetic alterations in ptpn6 was observed in most cancers. As for epigenetic changes, it’s phosphorylation levels significantly altered in 6 tumors, while methylation levels significantly altered in 12 tumors. Notably, the methylation levels of ptpn6 were significantly decreased in 11 tumors, accompanied by its increased expression in 8 of them, suggesting that the hypomethylation may be related to its increased expression. Our results show that ptpn6 plays a specific role in tumor immunity and exerts a pleiotropic effect in a variety of tumors. It can serve as a prognostic factor for some cancers. Especially in LGG, KIRC, UCS and TGCT, the increased expression of ptpn6 is associated with poor prognosis and high immune infiltration. This aids in understanding the role of ptpn6 in tumor biology, and can provide insight into presenting a potential biomarker for poor prognosis and immune infiltration in cancers.

Development of a disulfidptosis-related prognostic model for endometrial cancer with potential therapeutic target

Prognosis biomarkers for endometrial cancer (EC) are in need. Recent evidence demonstrated the critical role of disulfidptosis, a novel cell death modality, in cancer. However, limited studies have developed a disulfidptosis-related gene model for EC. Disulfidptosis prognosis score of EC (disulfidptosis-PSEC) were constructed using disulfidptosis-related differently expression genes with the RNA data of 544 EC patients from The Cancer Genome Atlas (TCGA) dataset. Model was evaluated using time-dependent receiver operating characteristic curve analysis for overall survival (OS) and disease-free survival (DFS), along with the hazard ratio (HR) between risk groups. Then, the cellular and molecular profile for different risk groups were performed, along with drug target inference. Disulfidptosis-PSEC demonstrated outstanding prognostic value for OS and DFS, with 5-year area under curve of 0.71 (95% CI, 0.58–0.75) and 0.69 (95% CI, 0.62–0.76), respectively. Low risk group demonstrated better survival with an HR of 0.38 (95% CI, 0.24–0.59) and 0.46 (95% CI, 0.32–0.66) for OS and DFS, respectively. The model was independent of TCGA subtype. Low risk group were featured with more immune cell infiltration and less gene mutation. Serval drug targets, and the therapeutic value of serotonin receptor among copy number (CN)-low subpopulation, were identified. Disulfidptosis-PSEC was a potential prognosis biomarker for EC with targetable biological process.

Non-cytotoxic levels of resveratrol enhance the anticancer effects of cisplatin by increasing the methyltransferase activity of CARM1 in human cancer cells

BackgroundResveratrol (RSVL) is a plant-derived polyhydroxyphenolic compound with excellent anticancer properties, alone or in combination with other chemotherapeutic drugs. However, the anticancer mechanism of RSVL is diverse and high concentrations are often required for RSVL to exert its anticancer effect, which would also adversely affect normal cells. PurposeThe main objective of this study is to investigate the molecular mechanism of how non-cytotoxic concentrations of RSVL enhance the anticancer effect of cisplatin involving a newly identified RSVL-binding protein. MethodsCell viability of cell lines from three cancer types exposed to RSVL and/or cisplatin was measured by NBB staining assay. RSVL-binding proteins were identified using RSVL-bound CNBr-activated Sepharose 4B beads coupled with LC-MS/MS, and the binding between RSVL and novel RSVL-binding protein was further confirmed with an in vitro pull-down assay. The expression of proteins was examined by immunoblot analysis, and the activity of methyltransferase was evaluated by in vitro methylation assay. The methylation level of H3R17 in the gene promoter was investigated using ChIP-qPCR. Bioinformatics analysis was conducted to identify pathway enrichment of genes, predict drug sensitivity, and analyze the survival of cancer patients. ResultsLow doses of RSVL might promote cancer cell growth whereas high doses of RSVL showed cytotoxic effects on normal cells. When co-treated with a lower cisplatin dose, non-cytotoxic RSVL levels showed synergistic anticancer effects. Here, coactivator-associated arginine methyltransferase 1 (CARM1) was identified as a novel RSVL-binding protein, and we showed that the upregulation of CARM1 increased the sensitivity of cancer cells to RSVL. Interestingly, we found that CARM1 was essential in the RSVL-induced sensitivity of cisplatin. Further molecular mechanistic studies revealed that RSVL could stabilize CARM1 protein, resulting in the upregulation and increased methyltransferase activity of CARM1. Additionally, we showed that the methylation levels of H3R17 in the promoter of p21, a downstream gene of CARM1 involving cell cycle arrest, were significantly increased after RSVL treatment. Finally, data from our bioinformatics analysis suggested that CARM1 could be utilized as a potential biomarker for chemotherapeutic drug sensitivity and prognosis in cancers. ConclusionsThis study identified CARM1 as a RSVL-binding protein for the first time and elucidated the potential roles of CARM1 in enhancing the efficacy of cisplatin by low doses of RSVL, which could have important clinical implications.

Deciphering the role of heat shock protein HSPA1L: biomarker discovery and prognostic insights in Parkinson's disease and glioma

BackgroundHeat shock proteins (HSPs) play a critical role in cellular stress responses and have been implicated in numerous diseases, including Parkinson's disease (PD) and various cancers. Understanding the differential expression and functional implications of HSPs in these conditions is crucial for identifying potential therapeutic targets and biomarkers for diagnosis and prognosis. MethodsWe utilized combined datasets (GSE6613 and GSE72267) to identify and analyze the heat shock-related genes differentially expressed in PD. Gene Set Variation Analysis (GSVA) was performed to explore functional profiles, while LASSO regression was employed to screen potential PD biomarkers. In glioma, prognostic value, immune infiltration, and pathway enrichment associated with HSPA1L gene expression were assessed via Kaplan-Meier plots, ssGSEA, and enrichment analyses. ResultsIn PD, we identified 17 differentially expressed HSPs. Enrichment analysis revealed significant pathways related to protein homeostasis and cellular stress responses. LASSO regression pinpointed 12 genes, including HSPA1L, as significant markers for PD, with nomogram and calibration plots indicating predictive accuracy. Stratification based on HSPA1L expression in PD highlighted differentially active biological processes, immune responses, and metabolic disruptions. In the pan-cancer analysis, HSPA1L showed variable expression across cancer types and a significant correlation with patient survival and immune infiltration. In glioma, low HSPA1L expression was associated with worse overall survival, distinct immune infiltration patterns, and altered pathway activities. ConclusionThis integrative study reveals the substantial role of HSPs, especially HSPA1L, in the pathogenesis and prognosis of PD and glioma. Our findings offer new perspectives on the molecular mechanisms underlying these diseases and propose HSPA1L as a potential prognostic biomarker and a target for therapeutic intervention.

CTCF-activated FUCA1 functions as a tumor suppressor by promoting autophagy flux and serum α-L-fucosidase serves as a potential biomarker for prognosis in ccRCC.

Notably, clear cell renal cell carcinoma (ccRCC) is characterized by a distinct metabolic tumor phenotype that involves the reprogramming of multiple metabolic pathways. Although there is increasing evidence linking FUCA1 to malignancies, its specific role and downstream signaling pathways in ccRCC remain poorly understood. Here we found that FUCA1 expression was significantly downregulated in ccRCC tissues, which also predicts poor prognosis of ccRCCpatients. Moreover, enhancing FUCA1 expression resulted in reduced invasion and migration of ccRCC cells, further indicating its protective role. CHIP-qPCR and luciferase assays showed that CTCF was an upstream transcription factor of FUCA1 and could reverse the effects caused by FUCA1 inactivation. The change in FUCA1 led to changes in the results of various autophagy-related proteins and the mRFP-GFP-LC3 dual fluorescence system, indicating that it may play a role in the fusion stage of autophagy. Protein-protein interaction analysis revealed that FUCA2 exhibited the closest interaction with FUCA1 and strongly predicted the prognosis of ccRCC patients. Additionally, serum AFU encoded by FUCA2 could serve as a valuable predictor for survival in ccRCC patients. FUCA1 suppresses invasion and migration of ccRCC cells, with its activity being modulated by CTCF. FUCA1 regulates the autophagy process in ccRCC cells by influencing the fusion between autophagosomes and lysosomes. FUCA2 shares similarities with FUCA1, and elevated serum AFU levels along with increased expression of FUCA2 are indicative of a favorable prognosis in ccRCC.

NCLN as a potential prognosis biomarker in endometrial cancer

Endometrial cancer (ECs) stands as one of the three major malignancies impacting females globally, with its incidence steadily increasing. ECs can be categorized into two types based on their clinicopathological features. Type I ECs typically exhibit low stage, favorable histological types, and low histological grade, correlating with a more favorable prognosis. Conversely, Type II ECs present with advanced-stage disease, aggressive behavior, and poorer histological types, resulting in a worse prognosis.The expression level of progesterone receptors (PR) holds significant importance in determining the prognosis of patients with ECs. Elevated levels of PR are linked to a more favorable prognosis, primarily attributed to progesterone's inhibitory influence on cancer cell proliferation and invasion. Moreover, progesterone promotes cell cycle inhibition through its regulation of PR, further contributing to improved outcomes in ECs.Nicalin (NCLN) plays a crucial role in facilitating the translocation of multichannel membrane proteins to the endoplasmic reticulum membrane and is implicated in embryonic development. Structurally akin to NODAL Modulator (NOMO), NCLN antagonizes NOMO during embryogenesis, forming a complex that antagonizes the Nodal pathway, thereby influencing mesoderm development. However, the precise relationship between NCLN and ECs remains incompletely understood.Our research findings reveal that NCLN actively stimulates the proliferation of ECs cells and exhibits a positive correlation with PR, albeit without impacting ER. Moreover, the expression levels of NCLN in ECs demonstrate associations with distinct histological types. These observations suggest that NCLN could emerge as a promising marker in the histological classification of ECs.