Identification of a novel m6A-related lncRNAs signature and immunotherapeutic drug sensitivity in pancreatic adenocarcinoma.

BACKGROUND: Pancreatic adenocarcinoma (PDAC) ranks as the fourth leading cause for cancer-related deaths worldwide. N6-methyladenosine (m6A) and long non-coding RNAs (lncRNAs) are closely related with poor prognosis and immunotherapeutic effect in PDAC. The aim of this study is to construct and validate a m6A-related lncRNAs signature and assess immunotherapeutic drug sensitivity in PDAC. METHODS: RNA-seq data for 178 cases of PDAC patients and 167 cases of normal pancreatic tissue were obtained from TCGA and GTEx databases, respectively. A set of 21 m6A-related genes were downloaded based on the previous report. Co-expression network was conducted to identify m6A-related lncRNAs in PDAC. Cox analyses and least absolute shrinkage and selection operator (Lasso) regression model were used to construct a risk prognosis model. The relationship between signature genes and immune function was explored by single-sample GSEA (ssGSEA). The tumor immune dysfunction and exclusion (TIDE) score and tumor mutation burden (TMB) were utilized to evaluate the response to immunotherapy. Furthermore, the expression levels of 4 m6A-related lncRNAs on PDAC cell lines were measured by the quantitative real-time PCR (qPCR). The drug sensitivity between the high- and low-risk groups was validated using PDAC cell lines by Cell-Counting Kit 8 (CCK8). RESULTS: The risk prognosis model was successfully constructed based on 4 m6A-related lncRNAs, and PDAC patients were divided into the high- and low-risk groups. The overall survival (OS) of the high-risk groups was more unfavorable compared with the low-risk groups. Receiver operating characteristic (ROC) curves demonstrated that the risk prognosis model reasonably predicted the 2-, 3- and 5-year OS of PDAC patients. qPCR analysis confirmed the decreased expression levels of 4 m6A-related lncRNAs in PDAC cells compared to the normal pancreatic cells. Furthermore, CCK8 assay revealed that Phenformin exhibited higher sensitivity in the high-risk groups, while Pyrimethamine exhibited higher sensitivity in the low-risk groups. CONCLUSION: The prognosis of patients with PDAC were well predicted in the risk prognosis model based on m6A-related lncRNAs, and selected immunotherapy drugs have potential values for the treatment of pancreatic cancer.

A novel and independent survival prognostic model for OSCC: the functions and prognostic values of RNA-binding proteins.

BACKGROUND: Oral squamous cell carcinoma (OSCC), exhibiting high morbidity and malignancy, is the most common type of oral cancer. The abnormal expression of RNA-binding proteins (RBPs) plays important roles in the occurrence and progression of cancer. The objective of the present study was to establish a prognostic assessment model of RBPs and to evaluate the prognosis of OSCC patients. METHODS: Gene expression data in The Cancer Genome Atlas (TCGA) were analyzed by univariate Cox regression analysis model that established a novel nine RBPs, which were used to build a prognostic risk model. A multivariate Cox proportional regression model and the survival analysis were used to evaluate the prognostic risk model. Moreover, the receive operator curve (ROC) analysis was tested further the efficiency of prognostic risk model based on data from TCGA database and Gene Expression Omnibus (GEO). RESULTS: Nine RBPs' signatures (ACO1, G3BP1, NMD3, RNGTT, ZNF385A, SARS, CARS2, YARS and SMAD6) with prognostic value were identified in OSCC patients. Subsequently, the patients were further categorized into high-risk group and low-risk in the overall survival (OS) and disease-free survival (DFS), and external validation dataset. ROC analysis was significant for both the TCGA and GEO. Moreover, GSEA revealed that patients in the high-risk group significantly enriched in many critical pathways correlated with tumorigenesis than the low, including cell cycle, adheres junctions, oocyte meiosis, spliceosome, ERBB signaling pathway and ubiquitin-mediated proteolysis. CONCLUSIONS: Collectively, we developed and validated a novel robust nine RBPs for OSCC prognosis prediction. The nine RBPs could serve as an independent and reliable prognostic biomarker and guiding clinical therapy for OSCC patients.

Potential clinical utility of liquid biopsy in early-stage non-small cell lung cancer.

BACKGROUND: Liquid biopsy has been widely researched for early diagnosis, prognostication and disease monitoring in lung cancer, but there is a need to investigate its clinical utility for early-stage non-small cell lung cancer (NSCLC). METHODS: We performed a meta-analysis and systematic review to evaluate diagnostic and prognostic values of liquid biopsy for early-stage NSCLC, regarding the common biomarkers, circulating tumor cells, circulating tumor DNA (ctDNA), methylation signatures, and microRNAs. Cochrane Library, PubMed, EMBASE databases, ClinicalTrials.gov, and reference lists were searched for eligible studies since inception to 17 May 2022. Sensitivity, specificity and area under the curve (AUC) were assessed for diagnostic values. Hazard ratio (HR) with a 95% confidence interval (CI) was extracted from the recurrence-free survival (RFS) and overall survival (OS) plots for prognostic analysis. Also, potential predictive values and treatment response evaluation were further investigated. RESULTS: In this meta-analysis, there were 34 studies eligible for diagnostic assessment and 21 for prognostic analysis. The estimated diagnostic values of biomarkers for early-stage NSCLC with AUCs ranged from 0.84 to 0.87. The factors TNM stage I, T1 stage, N0 stage, adenocarcinoma, young age, and nonsmoking contributed to a lower tumor burden, with a median cell-free DNA concentration of 8.64 ng/ml. For prognostic analysis, the presence of molecular residual disease (MRD) detection was a strong predictor of disease relapse (RFS, HR, 4.95; 95% CI, 3.06-8.02; p < 0.001) and inferior OS (HR, 3.93; 95% CI, 1.97-7.83; p < 0.001), with average lead time of 179 ± 74 days between molecular recurrence and radiographic progression. Predictive values analysis showed adjuvant therapy significantly benefited the RFS of MRD + patients (HR, 0.27; p < 0.001), while an opposite tendency was detected for MRD - patients (HR, 1.51; p = 0.19). For treatment response evaluation, a strong correlation between pathological response and ctDNA clearance was detected, and both were associated with longer survival after neoadjuvant therapy. CONCLUSIONS: In conclusion, our study indicated liquid biopsy could reliably facilitate more precision and effective management of early-stage NSCLC. Improvement of liquid biopsy techniques and detection approaches and platforms is still needed, and higher-quality trials are required to provide more rigorous evidence prior to their routine clinical application.

Comprehensive analysis of CXCR family members in lung adenocarcinoma with prognostic values.

BACKGROUND: The expression profiles and molecular mechanisms of CXC chemokine receptors (CXCRs) in Lung adenocarcinoma (LUAD) have been extensively explored. However, the comprehensive prognostic values of CXCR members in LUAD have not yet been clearly identified. METHODS: Multiple available datasets, including Oncomine datasets, the cancer genome atlas (TCGA), HPA platform, GeneMANIA platform, DAVID platform and the tumor immune estimation resource (TIMER) were used to detect the expression of CXCRs in LUAD, as well as elucidate the significance and value of novel CXCRs-associated genes and signaling pathways in LUAD. RESULTS: The mRNA and/or protein expression of CXCR1, CXCR2, CXCR3, CXCR4, CXCR5 and CXCR6 displayed predominantly decreased in LUAD tissues as compared to normal tissues. On the contrary, compared with the normal tissues, the expression of CXCR7 was significantly increased in LUAD tissues. Subsequently, we constructed a network including CXCR family members and their 20 related genes, and the related GO functions assay showed that CXCRs connected with these genes participated in the process of LUAD through several signal pathways including Chemokine signaling pathway, Cytokine-cytokine receptor interaction and Neuroactive ligand-receptor interaction. TCGA and Timer platform revealed that the mRNA expression of CXCR family members was significantly related to individual cancer stages, cancer subtypes, patient's gender and the immune infiltration level. Finally, survival analysis showed that low mRNA expression levels of CXCR2 (HR = 0.661, and Log-rank P = 1.90e-02), CXCR3 (HR = 0.674, and Log-rank P = 1.00e-02), CXCR4 (HR = 0.65, and Log-rank P = 5.01e-03), CXCR5 (HR = 0.608, and Log-rank P = 4.80e-03) and CXCR6 (HR = 0.622, and Log-rank P = 1.85e-03) were significantly associated with shorter overall survival (OS), whereas high CXCR7 mRNA expression (HR = 1.604, and Log-rank P = 4.27e-03) was extremely related with shorter OS in patients. CONCLUSION: Our findings from public databases provided a unique insight into expression characteristics and prognostic values of CXCR members in LUAD, which would be benefit for the understanding of pathogenesis, diagnosis, prognosis prediction and targeted treatment in LUAD.

Systemic analysis of the expression and prognostic significance of PAKs in breast cancer.

PAKs (p21-activated kinases) are reported to play crucial roles in a variety of cellular processes and participate in the progression of human cancers. However, the expression and prognostic values of PAKs remain poorly explored in breast cancers. In our study, we examined the mRNA and protein expression levels of PAKs and the prognostic value. We also analyzed the interaction network, genetic alteration, and functional enrichment of PAKs. The results showed that the mRNA levels of PAK1, PAK2, PAK4 and PAK6 were significantly up-regulated in breast cancer compared with normal tissues, while the reverse trend for PAK3 and PAK5 was found, furthermore, the proteins expression of PAK1, PAK2 and PAK4 in breast cancer tissues were higher than that in normal breast tissues. Survival analysis revealed breast cancer patients with low mRNA expression of PAK3 and PAK5 showed worse RFS, conversely, elevated PAK4 levels predicted worse RFS. In addition, the breast cancer patients with PAKs genetic alterations correlated with worse OS. These results indicated that PAKs might be promising potential biomarkers for breast cancer.

Clinical impact of the CONUT score in patients with multiple myeloma.

Novel anti-myeloma drugs have significantly improved the overall survival (OS) of patients with multiple myeloma (MM). However, not all MM patients treated with these drugs show survival benefits, and biologic and genetic prognostic factors are insufficient to predict the response to treatment. Decreasing treatment-related complications is important to improve the efficacy of treatment in patients with MM. The Controlling Nutritional Status (CONUT) score is a screening method for poor nutritional status, which is associated with poor prognosis in several cancers because it increases the rate of treatment-related complications. We retrospectively analyzed the OS of 64 patients with symptomatic MM and evaluated the correlation between the CONUT score and patient prognosis in MM. The median age at diagnosis was 66 years, and multivariate analysis showed that a high CONUT score (≥ 5; hazard ratio, 3.937; 95% confidence interval, 1.214-12.658; P = 0.022) was an independent prognostic risk factor. Subgroup analysis was performed according to patient age because the choice of treatment strategy, particularly autologous peripheral blood stem cell transplantation (auto-PBSCT), can vary depending on age in MM patients. Younger patients (< 65 years old) who received auto-PBSCT and had a lower CONUT score (0-3) showed a significantly better survival outcome than those with a higher CONUT score (≥ 4) (median OS, not reached vs. 64.1 months; P = 0.011). The CONUT score is simple to calculate and provides a useful prognostic indicator in patients with MM, especially transplant-eligible patients.

Expression of Demethylase Genes, FTO and ALKBH1, Is Associated with Prognosis of Gastric Cancer.

BACKGROUND: Reversible N6-methyladenosine (m6A) modifications in messenger RNAs can be categorized under the field of "RNA epigenetics." However, the potential role of m6A-related genes in gastric cancer (GC) prognosis has not been systematically researched. AIMS: This study was aimed at providing insights into the prognostic role of m6A-related gene expression, at both mRNA and protein levels. METHODS: Kaplan-Meier (KM) plotter database and The Cancer Genome Atlas (TCGA) database were used to explore the prognostic significance of individual m6A-related genes in overall survival (OS) and progression-free survival at the mRNA level. For independent validation, the protein level of genes significantly associated with prognosis in both databases was further detected in 450 paired GC and corresponding adjacent non-tumor tissues using tissue microarray (TMA)-based immunohistochemistry (IHC). The relationship between the FTO and ALKBH1 expression and the clinicopathological characteristics was explored. RESULTS: Among nine m6A-related genes, aberrantly high mRNA expression of FTO and ALKBH1 was associated with poor OS in the KM and TCGA cohorts. However, the TMA-IHC indicated that protein expression of FTO and ALKBH1 was markedly downregulated in GC tissues. A lower protein level of ALKBH1 was closely correlated with larger tumor sizes (≥ 5 cm) and more advanced TNM stages, while lower FTO protein expression was associated with shorter OS in GC patients. CONCLUSIONS: Aberrant expression of demethylase genes, FTO and ALKBH1, has a distinct prognostic value in GC patients, indicating that FTO and ALKBH1 may play vital roles in GC progression and metastasis.

The prognostic value of procalcitonin in critically ill cases of systematic inflammatory response syndrome in dogs.

Using markers for early diagnosis can help to reduce mortality and morbidity in systemic inflammatory response syndrome (SIRS). This study investigates the role of procalcitonin (PCT) as a prognostic value in dogs with SIRS in the intensive care unit. Fifty-five dogs were selected and studied. Blood samples were collected and investigated for PCT, white and red blood cells, iron, creatinine, platelet, glucose, albumin, urea, interleukin-6 (IL-6), tumor necrosis factor-α (TNF-α), bandcell, body temperature, and hospitalized days and costs. The animals were grouped into survivors and deceased groups, and their results were compared. The results showed negative significant relations between PCT with hematocrit (r 2 = 0.294, P < 0.05) and the serum concentration of iron (r 2 = 0.280, P < 0.05) and also positive relation with IL-6 (r 2 = 0.456, P < 0.01) and TNF-α (r 2 = 0.391, P < 0.01). Significant relations were not seen between PCT with other parameters (P > 0.05). The results also showed a significant relation between glucose and albumin with body temperature (P < 0.05). The results showed that the serum concentrations of PCT, IL-6, and TNF-α were significantly higher in deceased dogs compared with survivors, while white blood cells, glucose, albumin, urea, lymphocyte, neutrophil, and body temperature were higher in survivors compared with others. PCT can be utilized as a prognostic value and helps early diagnosis in dogs with SIRS.

Comprehensive analyses of molecular features, prognostic values, and regulatory functionalities of m6A-modified long non-coding RNAs in lung adenocarcinoma.

BACKGROUND: Lung adenocarcinoma (LUAD) has a high incidence and recurrence rate. N6-methyladenosine (m6A) modification of RNA has become a promising epigenetic marker in tumors. The dysregulation of both RNA m6A levels and m6A regulator expression levels reportedly affects essential biological processes in various tumors. Long non-coding RNAs (lncRNAs), a subgroup of RNAs over 200 nucleotides in length that do not code for protein, can be modified and regulated by m6A, but the relevant profile in LUAD remains unclear. RESULTS: The m6A levels of total RNA were decreased in LUAD tumor tissues and cells. Multiple m6A regulators were abnormally expressed at both the RNA and protein levels, and were related in expression patterns and functionally synergistic. Our microarray revealed 2846 m6A-modified lncRNA transcripts as well as its molecular features, 143 of which were differentially m6A-modified and manifested a negative correlation between expression levels and m6A modification levels. More than half of the differentially m6A-modified lncRNAs associated with dysregulated expression. The 6-MRlncRNA risk signature was a reliable indicator for assessing survival time of LUAD patients. The competitive endogenous regulatory network suggested a potential m6A-induced pathogenicity in LUAD. CONCLUSIONS: These data have demonstrated that differential RNA m6A modification and m6A regulator expression levels were identified in LUAD patients. In addition, this study provides evidence increasing the understanding of molecular features, prognostic values, and regulatory functionalities of m6A-modified lncRNAs in LUAD.

Comprehensive Analysis of Potential Prognostic Values of ANGPTLs in Colorectal Cancer.

Colorectal cancer (CRC) is one of the most common malignant tumors in the world. CRC recurrence and metastasis cause poor prognosis. ANGPTLs (angiopoietin-like proteins) are a family of proteins that are widely involved in metabolic disease and tumorigenesis. The roles of ANGPTLs in CRC are still controversial and deserve further research. In this study, several databases were employed to explore the expression profiles, prognostic values, genetic alterations, potential biological function, and immune infiltration correlation of ANGPTLs in CRC. The expression of ANGPTL4 was significantly positively correlated with the stage of CRC. Therefore, cell and molecular experiments were further performed to explore the roles of ANGPTL4. Our results showed that the transcriptions of ANGPTLs in colon cancer and rectal cancer tissues were lower than those in normal tissues, but the protein expression varied among different ANGPTLs. In addition, the high expression of ANGPTLs led to a relatively poor oncological outcome. Specifically, the expression of ANGPTL4 is significantly positively correlated with the stage of CRC. Further investigation revealed that ANGPTLs are mainly involved in signal transduction and the regulation of transcription, while KEGG pathway analyses demonstrated pathways in cancer. Additionally, we also observed that ANGPTL4 could promote the proliferation and migration of CRC cells, and four specific small molecule compounds had potential ANGPTL4-binding capabilities, suggesting the clinical application of these small molecule compounds on CRC treatment. Our findings imply the prognostic values and potential therapeutic targets of ANGPTLs in CRC.

Bioinformatics Analysis Identified Five Widely Expressed Genes Associated with Prognosis in Sarcoma.

Background: Human sarcomas (SARC) are a group of malignant tumors that originated from mesenchymal lineages with more than 60 subtypes. However, potential biomarkers for the diagnosis and prognosis of SARC remain to be investigated. Methods: We obtained three GSE raw matrix files (GSE39262, GSE21122, GSE48418) that related to various subtypes of sarcoma from the public GEO database and explored the widely differential expression genes in three obtained GSE files. Then common differential expression genes (CDGEs) were identified. We analyzed the correlation between the expression of the top five interacted genes of CDEGs and genome-wide differences, prognosis, genetic mutation, functional enrichment, immune infiltration, immune checkpoint, and marker genes' expression of N6-methyladenosine (m6A) modification in SARC patients. Besides, a prognostic nomogram was constructed to predict the survival of SARC patients. Results: Among the three GSE files, 42 CDGEs were identified, and the top five interacted genes were ASPM, CCNB2, PRC1, AURKA, and SCM2. The expression levels of the five genes were higher in the SARC group than that in the normal group. The transcriptional level of CCNB2, PRC, and SCM2 was correlated to the worse survival of SARC. The constructed nomogram that combined CNB2, PRC1, and SCM2 showed a fairly good incredibility in predicting the survival of SARC (C-index: 0.711). Furthermore, the five genes were widely involved in immune infiltration, immune checkpoint, and m6A modification. In addition, we found a minor survival-related mutation rate (9%) of the five identified genes in SARC patients (p < 0.05). Conclusion: The results suggested the five identified genes widely participated in the prognosis, immune infiltration, immune checkpoint, and m6A modification of SARC patients. This study provided a theoretical basis for the research about the correlation between the level of five identified genes and sarcoma, but the further mechanism needs to be verified by experiments.

Prognostic Values of COL4As Transcriptional Expressions in Clear Cell Renal Cell Carcinoma Patients.

OBJECTIVE: The COL4A family genes (COL4As) are a set of extracellular matrix-related genes that have been proved a tight relationship among various cancers. However, the functional role of different COL4As (COL4A1/2/3/4/5/6) in clear cell renal cell carcinoma (ccRCC) is unclear. METHODS: We obtained the data from online open-access databases including ONCOMINE, UALCAN, GEPIA, Cancer Genome Atlas (TCGA), cBioPortal, METASCAPE, STRING, TIMER, GSCALite, MEXPRESS, and TISIDB to explore the correlation between COL4As expression and genome-wide difference, progression, prognosis, genetic mutation, functional enrichment, tumor immune microenvironment, and methylation in ccRCC patients. RESULTS: The significantly higher COL4A1/2 expression and lower COL4A3/4/5/6 expression were observed in ccRCC tissues than in normal kidney tissues. Transcriptomic levels of COL4A1/2/3/4 were significantly correlated with tumor grade and stage. The higher expression levels of COL4A1/2/3/4 were accompanied by a longer overall survival time (OS); the higher expression levels of COL4A3/4 with lower expression levels of COL4A5 were associated with a longer disease-free time (DFS). Univariate/multivariate regression model analysis showed that COL4A4 could be a potential independent biomarker for ccRCC prognosis. And a high mutation rate (29%) of COL4As was observed in ccRCC patients. However, there were no relationships between mutation rates of COL4As and OS, DFS in ccRCC patients (p>0.05). Besides, we founded that the COL4As expressions were significant associated with the infiltration of the immune cells, tumor-infiltrating lymphocytes, three immunomodulators (immunoinhibitory, immunostimulator, MHC molecule), chemokines, and receptors. CONCLUSION: The results suggested that the transcript levels of COL4As could act as potential indicators for early disease progression. The expression of COL4A4 could contribute directly to disease prognosis. Besides, COL4A1/2/3/4 widely participated in tumor immunity. However, further studies are needed to confirm their clinical values in the ccRCC patients.

Hyperphosphatemia rather than hypophosphatemia indicates a poor prognosis in patients with sepsis.

BACKGROUND: Sepsis is the leading cause of hospitalization and death in the intensive care unit. It is vital to identify high-risk patients with poor prognosis in the early stages of sepsis. We aimed to investigate the prognostic value of serum phosphorus levels for sepsis. METHODS: The data of 4767 patients with sepsis were collected from the Multiparameter Intelligent Monitoring in Intensive Care III database. The Locally Weighted Scatterplot Smoothing technique and Kaplan-Meier analysis were used to test the crude relationship between serum phosphorus levels and mortality or overall survival. The multivariable logistic regression was used to further analyze the relationship between serum phosphorus levels and in-hospital mortality. The subgroup analysis was performed according to renal failure, use of vasopressin and the Sequential Organ Failure Assessment (SOFA) score. RESULTS: Only hyperphosphatemia significantly correlated with in-hospital mortality [odds ratio (OR) 1.48; 95% confidence interval (CI) 1.19-1.85], while the correlation between hypophosphatemia and in-hospital mortality was not significant (OR 0.91; 95% CI 0.70-1.19). The interactions between serum phosphorus and renal failure, use of vasopressin or the SOFA score were not significant. CONCLUSIONS: Hyperphosphatemia rather than hypophosphatemia indicates a poor prognosis in patients with sepsis.

Prognostic Value of EGFR Exon-20 Insertions in Czech Patients With Advanced Non-small Cell Lung Cancer.

BACKGROUND/AIM: Per literature, patients with epidermal growth factor receptor (EGFR) exon-20 insertions respond poorly to tyrosine kinase inhibitors (TKIs). This study analyzed real-world data to examine the prognostic and predictive value of these mutations. PATIENTS AND METHODS: We conducted a retrospective cohort study using Czech TULUNG Registry data, with data on multiple mutation types, collected in 2011-2020. RESULTS: We analyzed 554 (95.85%) patients with EGFR exon-19 deletions or exon-21 L858R substitutions and 24 (4.15%) patients with exon-20 insertions who received first-line high-value therapies. We summarized clinical characteristics and outcomes in all patients and by cohort. The risk of progression was statistically significantly higher (86%) in the exon-20 insertion cohort compared to the cohort with other mutations. Although not statistically significant, the risk of death was 44% higher in patients with exon-20 insertions. CONCLUSION: Advanced NSCLC patients with rare EGFR exon-20 insertions have a high risk of progression.

Comprehensive Analysis of Inhibitor of Apoptosis Protein Expression and Prognostic Significance in Non-Small Cell Lung Cancer.

Inhibitors of apoptosis proteins (IAPs) have been associated with tumor development and progression by affecting apoptosis through cell death signaling pathways. To date, eight IAPs (BIRC1-8) have been identified in mammalian cells. However, the role of IAPs in non-small cell lung cancer (NSCLC) development and progression has not been explored in depth. In this study, we used public datasets and bioinformatics tools to compare the expression, prognostic significance, and function of IAPs in NSCLC and its subtypes. Expression of IAPs in cancer and normal tissues and at different stages of NSCLC was compared with gene expression profiling interactive analysis, and their prognostic significance was analyzed with the Kaplan-Meier Plotter database. The correlations among IAPs were analyzed with the STRING database and SPSS19.0. Functional annotation of IAPs was analyzed by Gene Ontology and Kyoto Encyclopedia of Genes and Genomes enrichment on the basis of the DAVID tool. Among patients with lung adenocarcinoma (LUAD), the expression level of BIRC5 was higher than that in normal samples, and the expression of BIRC1 and BIRC5 significantly varied in different stages. Moreover, the BIRC1-3 and BIRC5 mRNA levels were associated with overall survival (OS), and the BIRC1-2 and BIRC5-6 mRNA levels were associated with progression-free survival (PFS). Among patients with lung squamous cell carcinoma (LUSC), the expression level of BIRC1 was lower and that of BIRC5 was higher than those in normal tissues, and BIRC5 expression significantly varied in different stages. BIRC1 expression was associated with OS, whereas BIRC2 and BIRC6 expression was associated with PFS. Enrichment analysis showed that most IAPs are associated with ubiquitin- and apoptosis-related pathways. Collectively, this study suggests BIRC5 as a potential diagnostic and staging marker, BIRC1 as a potential marker of OS, and BIRC2 and BIRC6 as potential PFS markers for patients with NSCLC. These highlight new targets for the early detection, treatment, and management of NSCLC.

Comprehensive analysis on the expression profile and prognostic values of Synaptotagmins (SYTs) family members and their methylation levels in gastric cancer.

Synaptotagmins (SYTs), constitute a family of 17 membrane-trafficking protein, palying crucial roles in the development and progression of human cancers. However, only very few studies have investigated the expression profile and prognostic values of SYTs family members in gastric cancer (GC). Therefore, we comprehensively evaluated the expression, methylation, prognosis and immune significance of SYTs family members through bioinformatics analysis from the online databases in GC. The expressions of SYT4, SYT9, and SYT14 were up-regulated, and negatively associated with their methylation levels in GC. Both the over-expression of SYT4, SYT9 and SYT14 and their hypomethylation levels contributed to an unsatisfactory overall survival (OS) and progression-free survival (PFS) in GC. Moreover, the low expressions of several methylation cg sites (cg02795029, cg07581146, cg15149095, cg19922137, cg25371503, cg26158959, cg02269161, cg03226737, cg08185661, cg16437728, cg22723056 and cg24678137) were significantly correlated with an unfavorable OS and PFS in GC. Furthermore, the expression of SYT4, SYT9 and SYT14 played a pivotal role in immune cells infiltration in GC. Collectively, our current finding suggested that SYT4, SYT9 and SYT14 might be potent prognostic indictors and promising immunotherapeutic targets for GC patients.

Expression and prognostic significance of thrombospondin gene family in gastric cancer.

BACKGROUND: Thrombospondins (THBSs) are glycoproteins expressed in the extracellular matrix (ECM) and have critical roles in tumor development and metastasis. However, the diverse expression patterns and prognostic roles of distinct THBS genes in gastric cancer have not been fully elucidated. In the current study, we aimed to investigate the expression patterns of THBSs in gastric cancer (GC) and determine whether they are prognostic markers for this malignancy. METHODS: mRNA expression status and genetic mutations of THBS family members were performed by using ONCOMINE, UCSC Xena browser, GEPIA, and cBioPortal databases. Prognostic values and function enrichment analysis of the members were assessed via Kaplan-Meier plotter and Metascape. RESULTS: we found that the mRNA expression of THBS1, THBS2, THBS4, and COMP were higher in patients with GC tissues than those in normal gastric mucosa and there was no difference in the mRNA expression of THBS3 between GC and normal tissue. Survival analysis revealed that mRNA levels of THBSs were strongly related to worse OS in GC patients (P<0.05). Overexpression of THBSs indicated poor OS in stage III/IV GC and high expression of THBS1, THBS3, THBS4, and COMP were related to worse OS in stage II GC. CONCLUSIONS: Bioinformatics analysis revealed a better understanding the value of THBS family members in GC and suggest that THBSs might serve as potential prognostic biomarkers for GC.

Bioinformatic analysis of potential hub genes in gastric adenocarcinoma.

Gastric adenocarcinoma is the most common histologic type of gastric cancer; however, the pathogenic mechanisms remain unclear. To improve mechanistic understanding and identify new treatment targets or diagnostic biomarkers, we used bioinformatic tools to predict the hub genes related to the process of gastric adenocarcinoma development from public datasets, and explored their prognostic significance. We screened differentially expressed genes between gastric adenocarcinoma and normal gastric tissues in Gene Expression Omnibus datasets (GSE79973, GSE118916, and GSE29998) using the GEO2R tool, and their functions were annotated with Gene Ontology and Kyoto Encyclopedia of Genes and Genomes signaling pathway enrichment analyses in the DAVID database. Hub genes were identified based on the protein-protein network constructed in the STRING database with Cytoscape software. A total of 10 hub genes were selected for further analysis, and their expression patterns in gastric adenocarcinoma patients were investigated using the Oncomine GEPIA database. The expression levels of ATP4A, CA9, FGA, ALDH1A1, and GHRL were reduced, whereas those of TIMP1, SPP1, CXCL8, THY1, and COL1A1 were increased in gastric adenocarcinoma. The Kaplan-Meier online plotter tool showed associations of all hub genes except for CA9 with prognosis in gastric adenocarcinoma patients; CXCL8 and ALDH1A1 were positively correlated with survival, and the other genes were negatively correlated with survival. These 10 hub genes may be involved in important processes in gastric adenocarcinoma development, providing new directions for research to clarify the role of these genes and offer insight for improved treatment.

Distinct prognostic values of programmed death-ligand 1 and programmed cell death protein 1 in lung adenocarcinoma and squamous cell carcinoma patients.

BACKGROUND: Although immunotherapy has demonstrated similar clinical activities in the treatment of lung adenocarcinoma (ADC) and squamous cell carcinoma (SCC), several studies have shown programmed death-ligand 1 (PD-L1) to have different predictive roles in ADC and SCC. This study was conducted to compare the different functions of PD-L1/programmed cell death protein 1 (PD-1) pathway in these malignancies. METHODS: A multi-dimensional analysis based on public databases and 2 independent cohorts including 262 patients with lung cancer was performed. Immunohistochemistry (IHC) and fluorescence-based multiplexed staining were used to detect the immune factors. RESULTS: PD-L1 was observed to have different expressions and regulatory mechanisms between SCC and ADC. PD-L1 was significantly increased from the messenger RNA (mRNA) to protein levels in the SCC group compared with the ADC group. Also, PD-L1 on tumor cells (TCs) was positively correlated with CD8+ tumor lymphocyte infiltrates in ADC, but not in SCC. More importantly, PD-L1 was considered to be an independent predictor of overall survival (OS) for ADC patients. In contrast, in SCC patients, PD-1+ tumor-infiltrating lymphocytes (TILs) were considered a poor prognostic predictor. CONCLUSIONS: These findings showed that PD-L1 in ADC and PD-1+ TILs in SCC respectively indicates T-cell function, which plays a crucial role in determining prognosis. The distinct functions of the biomarkers between ADC and SCC might provide potential avenues for guiding anti-PD-1/PD-L1 immunotherapy.

Prognostic value of CDCA3 in kidney renal papillary cell carcinoma.

Kidney renal papillary cell carcinoma (KIRP) is a type of low-grade malignant renal cell carcinoma. Huge challenges remain in the treatment of KIRP. Cell division cycle associated 3 (CDCA3) participates in human physiological and pathological processes. However, its role in KIRP has not been established. Here, we evaluated the prognostic value of CDCA3 in KIRP using a comprehensive bioinformatics approach. Data for CDCA3 expression in KIRP were obtained from online database. Different expression genes between high and low CDCA3 expression groups were identified and evaluated by performing Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway enrichment analyses. A gene set enrichment analysis was performed to elucidate the function and pathway differences between the different. Differences in immune cell infiltration between low and high CDCA3 expression groups were analyzed by a single-sample GSEA method for immune cells. A protein-protein interaction network was generated and hub genes were identified. UALCAN was used to analyze associations between the mRNA expression levels of CDCA3 in KIRP tissues with clinicopathologic parameters. The diagnostic efficacy of CDCA3 for KIRP was analyzed by ROC analysis. Logistic regression was used to analyze relationships between the clinicopathological characteristics and CDCA3 expression. Our results indicated that high CDCA3 mRNA expression is significantly associated with some clinicopathologic parameters in KIRP patients High CDCA3 mRNA expression associated with a shorter overall survival, progression-free interval, and disease-special survival. Taken together, CDCA3 is a potential target for the development of anti-KIRP therapeutics and is an efficient prognostic marker.