Kaplan-Meier Plotter Database Research Articles

Does miR-197 Represent a Valid Prognostic Biomarker in Head and Neck Squamous Cell Carcinoma (HNSCC)? A Systematic Review and Trial Sequential Analysis

(1) Background: Between tumors of the head and neck region, the squamous cell variant (HNSCC) is the most common and represents one of the main neoplasms affecting humans. At the base of carcinogenesis processes, there are genetic alterations whose regulation can be influenced by changes in the expression of microRNA (miR). Consequently, despite recent studies indicating miR-197 as a potential prognostic biomarker of survival for many varieties of cancer, there are currently no systematic reviews and trial sequential/bioinformatics/meta-analysis regarding the role of miR-197 in HNSCC. Our hypothesis was that with the existing literature, it is possible to clarify whether the different expressions of miR-197 in neoplastic tissues can represent a prognostic biomarker of survival in head and neck tumors. (2) Methods: The systematic review was reported following the indications of PRISMA and by consulting six electronic databases (including one register). Moreover, this review was carried out using the Kaplan–Meier plotter database portal, and hazard ratio (HR) data were extracted. Finally, a trial sequential analysis (TSA) was conducted to test the robustness of the proposed meta-analysis. (3) Results: This search identified 1119 articles and outcomes of the meta-analysis, reporting an aggregate HR for overall survival (OS) between the highest and lowest miR-197 expression of 1.01, 95% CI: [1.00, 1.02]. (4) Conclusions: We can state that, from the literature data included in the present meta-analysis, and from the TSA and bioinformatics analysis data, miR-197 does not currently represent a valid prognostic biomarker for HNSCC, although the data provided by the Kaplan–Meier plotter suggest that miR-197 can serve as a putative biomarker in short-term (5 years) survival.

Phosphatidylinositol glycan anchor biosynthesis, class C is a prognostic biomarker and correlates with immune infiltrates in hepatocellular carcinoma.

Background and aims: The exact function of Phosphatidylinositol Glycan Anchor Biosynthesis, Class C (PIGC) gene has yet to be elucidated. In the study, we attempted to clarify the correlations of PIGC to prognosis and tumor-infiltrating lymphocytes in hepatocellular carcinoma (HCC). Methods: PIGC expression was analyzed via the Oncomine database, Gene Expression Profiling Interactive Analysis, Hepatocellular carcinoma data base, Human Protein Atlas database and Tumor Immune Estimation Resource (TIMER). We showed the correlation of PIGC with the clinical characteristics using UALCAN. We evaluated the influence of PIGC on clinical prognosis using Kaplan-Meier plotter databases. And co-expressed genes with PIGC and its regulators were identified using LinkedOmics. The correlations between PIGC and cancer immune infiltrates were investigated via TIMER. We analyzed the drug sensitivity and immunotherapy response via R package. Results: PIGC was found up-regulated in tumor tissues in multiple HCC cohorts, also increased in HCC patient with different clinical characteristics. High PIGC expression was associated with poorer overall survival. PIGC expression showed a strong positive association with the expression of ACBD6, a strong negative association with AGXT212. The cell components and distribution in treatment and non-treatment of HCC patients were quite distinct, which may reveal the relationship between the immunotherapy with tumor microenvironment. Notably, PIGC expression was positively correlated with infiltrating levels of immune cells. Conclusion: These findings suggest that PIGC is correlated with prognosis and immune infiltrating in HCC, which can be used as a prognostic biomarker for determining prognosis, laying a foundation for further study of the immune regulatory role of PIGC in HCC.

Identification of G6PC as a potential prognostic biomarker in hepatocellular carcinoma based on bioinformatics analysis.

Hepatocellular carcinoma (HCC) has high mortality and incidence rates around the world with limited therapeutic options. There is an urgent need for identification of novel therapeutic targets and biomarkers for early diagnosis and predicting patient survival with HCC.Several studies (GSE102083, GSE29722, GSE101685, and GSE112790) from the GEO database in HCC were screened and analyzed by GEO2R, gene ontology and Kyoto Encyclopedia of Genes and Genomes enrichment analysis were conducted with the Database for Annotation, Visualization and Integrated Discovery. The protein-protein interaction network was plotted and the module analysis was performed using Search Tool for the Retrieval of Inter-acting Genes/Proteins database and Cytoscape. The expression and survival of key genes were identified using UALCAN, Kaplan–Meier Plotter and ONCOMINE online databases, and the immune infiltration level of key genes was analyzed via the Tumor Immune Estimation Resource (TIMER) database.Through database analysis, eight key genes were finally screened out, and the expressions of cyclin-dependent kinase regulatory subunit 2 and glucose-6-phosphatase catalytic (G6PC), which were closely related to the survival of HCC patients, was detected by using UALCAN. Further analysis on the differential expression of G6PC in multiple cancerous tumors and normal tissues revealed low expression in many solid tumors by Oncomine and TIMER. In addition, Kaplan–Meier plotter and UALCAN database analysis to access diseases prognosis suggested that low expression of G6PC was significantly associated with poor overall survival in HCC patients. Finally, TIMER database analysis showed a significant negative correlation between G6PC and infiltration levels of six kinds of immune cells. The somatic copy number alterations of G6PC were associated with B cells, CD8+ T cells, CD4+ T cells, macrophages, dentritic cells and neutrophils.These bioinformatic data identified G6PC as a potential key gene in the diagnosis and prognosis of HCC.

CPNE1 silencing inhibits cell proliferation and accelerates apoptosis in human gastric cancer

Gastric cancer is a heterogeneous disease accompanied by the alteration of various causative genes. The discovery of molecular targets and potential mechanisms of gastric cancer is valuable. Here we explored the biological function of CPNE1 and its molecular mechanisms in gastric cancer. Immunohistochemistry and Kaplan–Meier plotter database were used to identify that CPNE1 was upregulated in human gastric cancer and high expression of CPNE1 suggested a worse prognosis. Silencing CPNE1 could effectively suppress tumor proliferation, accelerate cell apoptosis and arrest cell cycle in vitro. CPNE1 knockdown mediating apoptosis by PARP-1 cleavage via caspase-3 and -7 activation through cytochrome c release from mitochondria in gastric cancer cells. Xenograft mouse model showed that targeted inhibition of CPNE1 slowed down the rate of tumor growth in vivo. We also verified that CPNE1 knockdown inhibited the activation of MAPK pathway mediated by DDIT3-FOS-MKNK2 axis. Specific inhibitor of DDIT3-FOS-MKNK2 axis could suppress gastric cancer cell proliferation, concomitant with knockdown of CPNE1. In conclusion, CPNE1 silencing inhibited gastric cancer growth via deactivating DDIT3-FOS-MKNK2 axis, which indicated that CPNE1 might serve as a therapeutic target for gastric cancer.

IN SILICO ANALYSIS OF SPP1 EXPRESSION AND ITS ROLE IN HEAD AND NECK SQUAMOUS CELL CARCINOMA

<h3>Objectives</h3> This study aimed to assess the prognostic and clinicopathologic value of SPP1 in head and neck squamous cell carcinoma (HNSCC) and its correlation with immune infiltrate. <h3>Study Design</h3> The analysis of gene expression was performed using GEPIA2, TIMER, and Oncomine tools. UALCAN was used to verify the association between SPP1 and clinical and pathologic factors. TIMER assessed the correlation between immune infiltrate and SPP1. The tissue expression of SPP1 was analyzed in the Human Protein Atlas. Survival analysis was performed in Kaplan-Meier plotter database. All databases use samples from The Cancer Genome Atlas, and a <i>P</i> value < .05 was considered statistically significant. <h3>Results</h3> SPP1 was overexpressed in HNSCC and was related to cancer stage, race, tumor grade, human papillomavirus status, and nodal metastasis status. SPP1 expression was associated with infiltration of CD8+, CD4+, macrophages, and cancer-associated fibroblasts (CAFs), and low CD8+ infiltrate was associated with poor prognosis. In immunohistochemical analysis, SPP1 was overexpressed in HNSCC. Overexpression of SPP1 was associated with decreased overall survival and recurrence-free survival. <h3>Conclusions</h3> The high expression of SPP1 has prognostic value in HNSCC and may be used as a therapeutic target.

Identification of ACSL4 as a biomarker and contributor of ferroptosis in clear cell renal cell carcinoma.

BackgroundAcyl-CoA synthetase long-chain family member 4 (ACSL4) has been linked to the ferroptosis process and is implicated in the pathogenesis of tumors. Nevertheless, neither the expression levels of ACSL4 nor its prognostic significance in clear cell renal cell carcinoma (ccRCC) is completely understood at this time.MethodsPredictions of the ACSL4 mRNA expression in ccRCC and its link to ccRCC prognosis were made based on data from the Oncomine and The Cancer Genome Atlas (TCGA) databases. Through the use of real-time polymerase chain reaction (PCR), we ascertained the levels of ACSL4 expression in human RCC samples. Analyses of the link between ACSL4 expression and the survival of ccRCC patients were undertaken using the Kaplan-Meier (KM) plotter database. To study the function that ACSL4 plays in ferroptosis in ccRCC cell lines, either upregulation or knockdown of its expression was performed.ResultsWe found that the ACSL4 expression level was considerably down-modulated in ccRCC samples (P<0.001), which was in line with the analytical results of the Oncomine and TCGA database. The subsequent immunohistochemistry findings revealed that ACSL4 levels in ccRCC samples were much lower or not undetectable in contrast with those in normal samples. The level of differential ACSL4 expression was strongly associated with factors such as disease stages, gender, tumor grade, nodal invasion, and ccRCC subtypes (all P<0.001). According to the results of the survival analysis, the overall survival was satisfactory among ccRCC patients who had overexpressed ACSL4 (P=0.014). In cancer cells, ferroptosis sensitization may be restored by overexpressing ACSL4 via the process of transfection; however, increasing ferroptosis resistance can be achieved by suppressing ACSL4 expression through the use of shRNA. Protein ubiquitination could have a function in influencing the way that ACSL4-induced ferroptosis works mechanically.ConclusionsACSL4, which is a mediator and monitor of ferroptosis, was lowered in expression in ccRCC and acted as a valuable diagnostic and prognostic biological marker, thus representing a novel promising treatment target for ccRCC.

Expression of chemokine CXCL8/9/10/11/13 and its prognostic significance in head and neck cancer.

Background:Head and neck cancer (HNC) is a very popular cancer, with many primary sites and pathological types, at the top of the list of tumors. Chemokines are a class of small molecular basic proteins, whose N-terminal cysteine residues can be divided into four subunits by location and number, which significantly enhances the expression level in all kinds of cancers. However, in HNC, especially in head and neck squamous cell carcinoma, the chemokine CXCL8/9/10/11/13 has not been clearly explored for its diagnosis and prognosis.Methods:The ONCOMINE database was used to analyze the expression of chemokine family in various cancers. After CXCL8/9/10/11/13 was screened out, the expression of CXCL 8/9/11/13 in patients with HNC/normal people were analyzed by UALCAN database. The expression and pathological stages of CXCL 8/9/10/13 in HNC tissues were analyzed by the GEPIA database, and the relationship between its mRNA expression and the overall survival (OS) time of patients with HNC was analyzed by Kaplan–Meier plotter database. In addition, 171 co-expressed genes significantly related to CXCL8/9/10/11/13 mutation were screened by online tool cBioPortal, and the protein interaction network of these genes was constructed by STRING database. Finally, the potential functions of CXCL8/9/10/11/13 and its 171 co-expressed genes were explored by the enrichment and analysis function of David database.Results:Transcriptional expression of chemokine 8/9/10/11/13 was significantly increased in patients with HNC. Clinical stage of patients with HNC was significantly correlated with overexpression of CXCL9/10/11. In addition, the chemokine CXCL8/9/10/13 was significantly correlated with over-survival of patients with HNC, so it could be distinguished between short-term and long-term survival of patients with HNC. In conclusion, CXCL8/9/10/11/13 closely connected with the expression and prognosis of HNC.Conclusion:In this study, our results suggest that chemokine CXCL8/9/10/11/13 may play a critical role in the development of HNC, and, according to relevant data, it may affect the survival and prognosis of patients with HNC.

An MMP-based risk score strongly distinguishes prognosis in hepatocellular carcinoma after resection.

Aim: To first explore the prognostic value of MMP11 and MMP15 in hepatocellular carcinoma. Methods: MMP11/MMP15 expression was immunohistochemically detected and correlated with clinicopathologic variables and survival and confirmed in publicly available databases. An MMP-based risk score (MMPRS) was established. Results: Tumoral MMP11/MMP15 expression was higher and univariately associated with crucial clinicopathologic parameters, overall survival and disease-free survival in all patients and/or many subsets. Multivariately, MMP11/MMP15 expression remained significant. Their overexpression and prognostic value were confirmed in the Ualcan and Kaplan-Meier plotter databases. Critically, the novel MMPRS integrating MMP11, MMP15 and tumor-node-metastasis stage identified subgroups with the best and worst prognoses, with much higher predictive power. Conclusion: MMP11 and MMP15 served as prognosticators in hepatocellular carcinoma. MMPRS might work more accurately.

Comprehensive analysis of the expression and prognosis for RBR E3 ubiquitin ligases in lung adenocarcinoma.

BackgroundLung adenocarcinoma (LUAD) is the most common subtype of non‐small cell lung cancer and has a poor prognosis. RBR E3 ubiquitin ligases are a special class of E3 ubiquitin ligases which contain three zinc‐bing domains that catalyze ubiquitin to substrate proteins. The RBR family of E3 ubiquitin ligases has been reported in various human malignancies, but the roles of RBR E3 ubiquitin ligases in LUAD remain unclear.MethodsBy using TCGA and Kaplan–Meier plotter databases, we examined the expression and prognostic value of RBR E3 ubiquitin ligases. cBioPortal was used to analyze genetic mutations. The STRING database was used to build a protein interactive network. GO, KEGG, and GSEA were performed to investigate the potential biological functions of RBR E3 ubiquitin ligases.ResultsThe expression of ARIH2, RNF144B, RNF216, and RNF217 was significantly related to the clinicopathological parameters and prognosis in LUAD patients. GSEA enrichment result showed ARIH2, RNF144B, RNF216, and RNF217 were all associated with NADH dehydrogenase complex assembly. GO functional enrichment analysis revealed that four RBR E3 ubiquitin ligases and their interactors were most correlated with ubiquitin‐protein transferase activity. KEGG pathway analysis indicated they were associated with cytosolic DNA‐sensing pathway, RIG‐I‐like receptor signaling pathway and NF‐kappa B signaling pathway.ConclusionsOur comprehensive bioinformatic analysis revealed that ARIH2, RNF144B, RNF216, and RNF217 may be new prognostic biomarkers and these findings will help to better understand the distinct roles of RBR E3 ubiquitin ligases in LUAD.

Deoxythymidylate Kinase as a Promising Marker for Predicting Prognosis and Immune Cell Infiltration of Pan-cancer.

Background: Deoxythymidylate kinase (DTYMK) serves as a pyrimidine metabolic rate-limiting enzyme that catalyzes deoxythymidine monophosphate (dTMP) to generate deoxythymidine diphosphate (dTDP). It remains unclear whether DTYMK expression has the potential to predict outcome and immune cell infiltration in cancers. Methods: DTYMK expression profile was analyzed using Oncomine, TIMER, GEPIA and UALCAN databases. The influence of DTYMK on immune infiltration was examined using TIMER and TISIDB databases. DTYMK interactive gene hub and co-expressing genes were obtained and analyzed by STRING and Linkedomics, respectively. The relationship between DTYMK expression and patient prognosis was validated using GEPIA, Kaplan-Meier plotter, and PrognoScan databases. The functions of DTYMK in cancer cells were also biologically validated in vitro. Results: DTYMK expression was elevated in tumor tissues compared with their control counterparts. DTYMK expression varied in different stages and discriminatorily distributed in different immune and molecular subtypes. Higher expression of DTYMK predicted worse outcome in several cancer types such as liver hepatocellular carcinoma (LIHC) and lung adenocarcinoma (LUAD). High DTYMK expression was positively or negatively correlated with immune cell infiltration, including B cell, CD8+ cell, CD4+ T cell, macrophage, neutrophil and dendritic cell, depending on the type of cancers. Additionally, DTYMK co-expressing genes participated in pyrimidine metabolism as well as in T helper cell differentiation in LIHC and LUAD. In vitro, knockdown of DTYMK suppressed cell migration of liver and lung cancer cells. Conclusion: DTYMK might be taken as an useful prognostic and immunological marker in cancers and further investigation is warrented.

GRAMD1A Is a Biomarker of Kidney Renal Clear Cell Carcinoma and Is Associated with Immune Infiltration in the Tumour Microenvironment.

Background GRAM structural domain-containing protein 1A (GRAMD1A) is upregulated in a variety of human cancer tissues and is closely associated with tumourigenesis and progression. Methods Patient RNA-sequencing data and clinicopathological information were obtained from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus (GEO) datasets. The expression of GRAMD1A in kidney cancer cell lines and KIRC patients was analysed by quantitative polymerase chain reaction (qPCR). Receiver Operator Characteristic (ROC) curves, nomograms, Kaplan-Meier analysis, forest plots, and COX analysis were used to assess the diagnostic and prognostic value of GRAMD1A in KIRC, and gene set enrichment analysis (GSEA) was used to explore its potential signalling pathways. In addition, the Sangerbox website, Kaplan-Meier plotter database, and TISIDB and TIMER databases were used to further analyse the correlation of GRAMD1A with microsatellite instability (MSI), tumour mutational burden (TMB), immune checkpoint genes, and tumour-infiltrating lymphocytes (TILs). Results GRAMD1A was significantly highly expressed in KIRC and associated with shorter overall survival and relapse-free survival (P < 0.05). The AUC value of the ROC curve to identify KIRC and normal renal tissues was 0.942. Forest plot and COX analysis visualized that GRAMD1A could be an independent prognostic factor in KIRC patients (P < 0.01), and nomograms to determine the overall survival (OS) of KIRC patients also showed good efficacy (C-index: 0.776). Moreover, Spearman correlation analysis showed a positive correlation between GRAMD1A and MSI, TMB (P < 0.01). On the other hand, GRAMD1A was also found to be closely associated with immune checkpoint genes. Meanwhile, patients with KIRC with high GRAMD1A expression had a relatively low hazard ratio (HR) of death when B lymphocytes, natural killer T cells, CD4+ T lymphocytes, CD8+ T lymphocytes, and macrophages were enriched in the tumour microenvironment (TME), and a greater HR of death when regulatory T lymphocytes with tumour-specific immunosuppressive effects were significantly enriched. Last, GSEA shows that GRAMD1A is closely associated with the regulation of energy metabolism in KIRC. Conclusions GRAMD1A is a promising diagnostic and prognostic biomarker for patients with KIRC, and its biological function correlates to some extent with immune infiltration in TME.

BTN3A2 Expression Is Connected With Favorable Prognosis and High Infiltrating Immune in Lung Adenocarcinoma.

Background: Butyrophilin subfamily 3 member A2 (BTN3A2) is an important mediator in immune activation, and it is reported to be linked to many cancer progresses. However, the relation with infiltrating immune and prognosis of BTN3A2 in lung adenocarcinoma are not clear. Methods: In our study, we checked the mRNA expression and protein expression profile of BTN3A2 in lung adenocarcinoma (LUAD) and its relation to clinical outcomes using TIMER and UALCAN databases. In addition, we analyzed the survival of BTN3A2 in LUAD using the Kaplan–Meier Plotter database and PrognoScan database. Moreover, we analyzed gene set enrichment analysis (GSEA) of the BTN3A2. Next, we explored the relation of BTN3A2 expression with the immune infiltration by TIMER. At last, in order to enrich the regulatory mechanism of BTN3A2, we used miRarbase, starbase, and miRDB databases to look for miRNA targets of BTN3A2. Results: The mRNA along with the protein expression of BTN3A2 in the LUAD group was lower than that in the normal group. In addition, high BTN3A2 expression was connected with good first progression (FP) and overall survival (OS) in LUAD. Then, the GSEA analysis demonstrated that T-cell receptor signaling cascade, B-cell receptor signaling cascade, natural killer cell–mediated cytotoxicity, immune receptor activity, immunological synapse, and T-cell activation were enriched differentially in the BTN3A2 high expression phenotype of LUAD. Moreover, BTN3A2 expression is a remarkable positive correlation with invading levels of tumor purity, B cells, neutrophils, CD4+ T cells, dendritic cells, macrophages, and CD8+ T cells in LUAD, and B cells and dendritic cells were linked with a good prognosis of LUAD. To further enrich the possible regulatory mechanisms of BTN3A2, we analyzed the miRNA targets. The results showed that hsa-miR-17-5p may be miRNA targets of BTN3A2. Conclusion: Taking together, we provide evidence of BTN3A2 as possible prognosis biomarkers of LUAD. In addition, high BTN3A2 expression in LUAD may influence the prognosis because of immune invasion. Moreover, our findings provide a potential mechanism that hsa-miR-17-5p may be miRNA targets of BTN3A2.

Clinical significance and prospective molecular mechanism of NUF2 in gastric cancer exploration: A comprehensive study based on the GeneChip, GEO, Oncomine, and TCGA databases.

Nuf2 is a combination of silica and spindle microtubules during the cells in the cells, participating in regulatory cell proliferation and apoptosis. Previous studies have shown that the growth of gastric cancer (GC) cells is significantly inhibited after siRNA-mediated Nuf2 gene knockout. However, the expression, survival and molecular mechanism of nuf2 in patients with GC are still unclear.This study revealed the prognostic role of Nuf2 in GC and its relationship with immune cells. The expression of Nuf2 in GC by TIMER database and Oncomine database, and evaluated the relationship between the expression of Nuf2 and the survival and prognosis of patients with GC by Kaplan–Meier Plotter database and gene expression profiling interactive analysis database.Here, we revealed that Nuf2 is highly expressed in GC and is related to the prognosis of patients with GC. And there is a significant negative correlation between the Nuf2 transcription level and high immune cell infiltration. Notably, the expression of Nuf2 in GC patients with Her2 negative rather than positive is related to poor OS, FP and PPS, indicating the potential to target Nuf2 gene in GC patients with Her2 negative.We suggested that Nuf2 could be used as a diagnostic gene as a biomarker of the occurrence and prognosis of GC.

EphrinA3 is a key regulator of malignant behaviors and a potential prognostic factor in lung adenocarcinoma.

As a member of the Ephrin protein family that elicits short distance cell-cell signaling, EphrinA3 has been shown to promote or inhibit tumorigenesis depending on tumor types, but its roles and the underlying mechanisms in lung adenocarcinoma (LUAD) have not been reported. The TCGA database and Kaplan-Meier Plotter database were used to analyze the differential expression of EphrinA3 between LUAD and para-carcinoma tissues, and its effect on overall survival of LUAD patients. CCK-8 assay, Edu assay, and flow cytometry were used to probe the effect of EphrinA3 on the proliferation of LUAD cells, and transwell assay was employed to examine its effect on migration and invasion. In addition, the effect of EphrinA3 on the growth of LUAD was further evaluated using a xenograft tumor model. EphrinA3 was expressed highly in LUAD, and its expression level was negatively correlated with the prognosis of LUAD patients. In addition, EphrinA3 promoted proliferation, migration, and invasion of LUAD cells, and accelerated tumor growth in a xenograft LUAD model. The reported EphrinA3 receptors, EphA1 and EphA10, were expressed in clinical LUAD tissues and co-localized with EphrinA3 in LUAD cells. Mechanistically, EphrinA3/Eph signaling activated AKT, ERK, and p38MAPK, induced epithelial-mesenchymal transition (EMT), and upregulated matrix metalloproteases-2 and -9 (MMP-2/-9). EphrinA3 expression was negatively correlated with prognosis of patients with LUAD. EphrinA3 promoted proliferation, migration, and invasion of LUAD cells. EphrinA3 enhanced the phosphorylation of ERK and AKT, and potentiates EMT and MMP expression in LUAD cells.

CLEC10A can serve as a potential therapeutic target and its level correlates with immune infiltration in breast cancer.

Breast cancer (BC) is one of the most common malignant cancers in females worldwide and greatly threatens women's health. The C-type lectin domain family 10 member A (CLEC10A) is a member of the C-type lectin receptor family that has been previously reported to promote the antitumor activity of immune cells. In the present study, the potential prognostic value of CLEC10A expression in BC was assessed using data from The Cancer Genome Atlas online database. Differences in the mRNA expression levels of CLEC10A between BC and normal tissues were then analyzed using the Tumor Immune Estimation Resource (TIMER) platform and the University of Alabama at Birmingham Cancer data analysis portal. Reverse transcription-quantitative PCR was performed to validate the results of this analysis. The Kaplan-Meier plotter database was used to evaluate the association between the mRNA expression levels of CLEC10A and clinical prognosis of BC. Based on the association between the mRNA expression levels of CLEC10A and the tumor immune microenvironment, the TIMER platform and the Tumor and Immune System Interaction Database website were utilized to assess the correlation between CLEC10A expression and the degree of tumor immune cell infiltration. The present study revealed that CLEC10A expression was significantly lower in BC tissues compared with that in normal tissues, which was in turn associated with poorer clinical outcomes. This suggested that lower CLEC10A expression levels were associated with unfavorable prognosis in BC. In addition, the expression level of CLEC10A was found to be positively associated with the level of different tumor-infiltrating immune cells in BC, including CD8 T cells, B cells, macrophages and NK cells which, was in turn closely correlated with some gene markers such as CD19, CD8A, KIR2DS4 and PTGS2. These results suggest that the relationship between lower CLEC10A expression level and poor prognosis in BC may be due to the role of CLEC10A in the tumor immune microenvironment. In conclusion, CLEC10A may be a potential biomarker that can be used to efficiently predict prognosis in patients with BC.

Comprehensive Analysis of ABCA Family Members in Lung Adenocarcinoma with Prognostic Values

ATP-binding cassette subfamily A (ABCA) has received wide recognition because it possesses the capacity to translocate its derivatives, xenobiotics, vitamins, and cholesterol across biological membranes. Some ABCA members have causative relevance to inborn diseases, and a number of studies have explored their functions in cancer progression and metastasis. Here, we explored the interrelation between ABCA genes and lung adenocarcinoma (LUAD). We specified the expression and functions of ABCA members in LUAD using the GEPIA, GEO, Human Protein Atlas, UALCAN, TIMER, and Kaplan-Meier Plotter databases. ABCA5, ABCA6, ABCA8, ABCA9, and ABCA10 were found to be significantly less expressed in LUAD and correlated with TP53 mutation in patients with LUAD. Furthermore, ABCA5, ABCA6, and ABCA8 were relevant to overall survival of patients with LUAD. In conclusion, this study showed that ABCA members may be related to the TP53 mutation of LUAD. Moreover, it may serve as a potential marker for the prognosis of LUAD.

PSMB2 knockdown suppressed proteasome activity and cell proliferation, promoted apoptosis, and blocked NRF1 activation in gastric cancer cells.

Proteasome 20S Subunit Beta 2 (PSMB2) has been suggested to play several roles in cancer. However, the role of PSMB2 and its underlying mechanisms in gastric cancer have not been studied. In this study, qRT-PCR was employed to detect the expression of genes that encode for 26s proteasome subunit proteins. PSMB2 expression and its prognostic ability were assessed by collecting patient tissue samples and reviewing the TCGA and Kaplan-Meier Plotter databases. Immunofluorescence and western blotting experiments were performed to evaluate the expression of PSMB2 in human gastric cancer cells and normal gastric epithelial cells. Subsequently, PSMB2 was knocked down in HGC-27 and SNU-1 cells and overexpressed in N-87 and AGS cells. Proteasome activity assays, 5-Ethynyl-2'-deoxyuridine staining, and TUNEL assays were used to assess proteasome activity, cell proliferation, and apoptosis. Tumor xenograft assays were conducted to evaluate PSMB2 function in vivo. Our results showed that a total of 8 genes encoding for the 26s proteasome subunit protein were highly expressed in a variety of gastric cancer cells. Next, PSMB2 was selected as the focus of subsequent studies which showed that PSMB2 was highly expressed in samples of gastric cancer tissue. Furthermore, a review of the TCGA database revealed that a high level of PSMB2 expression was associated with a poor clinical prognosis. Our results indicated that PSMB2 overexpression promoted proteasome activity, cell proliferation, and suppressed the apoptosis of gastric cancer cells, while those effects were reversed by treatment with a proteasome inhibitor (MG132). In contrast, PSMB2 knockdown produced the opposite effects and also blocked NRF1 activation. Moreover, PSMB2 knockdown inhibited tumor growth in vivo, decreased PSMB2 expression and cell proliferation, and promoted apoptosis in tumor tissues. Our findings revealed the role played by PSMB2 in gastric cancer and suggest PSMB2 as a new target molecule for use in diagnosing and treating gastric cancer.

Abstract 6373: Spheroid culture of ER+ breast cancer patient-derived tumor cells enriches cancer stem-likecells with EpCAM-/CD49f+and high ALDH activity and poor prognostic gene signatures

Abstract Background: Cancer stem-like cells (CSCs) represent a critical subset of the tumor population, which contributes to tumor recurrence, metastasis and therapy resistance. Spheroid culture is unique method for CSC enrichment. Patient-derived breast cancer cells (PDBCCs) has provided an invaluable tool in preclinical and translational research. The objective of this study is to characterize the immunophenotype and transcriptomes of PDBCCs grown in the adherent monolayer and spheroid condition. Methods: PDBCCs were harvested from residual tumor of fresh surgical specimens of patients with ER-positive subtype (8 cases). The adherent monolayer(M) and spheroid(S) culture of PDBCCs were applied on collagen I-coated plate and an ultra-low attachment polymer-X coated plate. Flow cytometry and immunocytochemistry was performed by using fluorescent-dye conjugated antibodies for EpCAM, CD49f, CD24, CD44, and cytokeratin. ALDEFLUOR® assay to detect ALDH activity was used. Total RNA-sequencing was applied to investigate differentially expressed genes (DEGs), followed by GO and KEGG pathway enrichment analysis. Real-time RT-PCR was performed to evaluate BCSC-related RNA levels. The Kaplan-Meier Plotter online database was used to evaluate the prognostic value of DEGs (2-fold change, p&amp;lt;0.05). Results: Under adherent monolayer condition, more than 95% of PDBCCs passaged for up to 5 passages on collagen I-coated plate sustained EpCAM+/cytokeratin+/fibroblast marker_ phenotype. On polymer-X coated plates, PDBCCs formed compact multicellular spheroids with a diameter of less than 300 µm. As compared with monolayer, CSCs with EpCAM-/CD49f+ phenotype (M vs S; 0.16±0.06 vs 2.34±0.65, p=0.015) and high ALDH activity (M vs S; 0.73±0.43 vs 7.05±1.48, p=0.038) were significantly increased by spheroid culture. In whole-transcriptome analysis (3 cases) between spheroid and monolayer, a total of 561 DEGs were identified, including 290 upregulated and 271 downregulated DEGs (2- fold change, p&amp;lt;0.05) in spheroid. The upregulated and downregulated DEGs in spheroids were enriched in 8 and 19 KEGG pathways, respectively. In recurrence-free survival analysis based on the Kaplan-Meier Plotter database of the genes corresponding to Oncotype Dx, Mammaprint, and Prosigna and top 30 ranked DEGs identified in spheroids, 15 upregulated and 14 downregulated DEGs were associated with poor prognosis of breast cancer patients. Conclusion: Spheroid culture of PDBCCs with ER+ subtype enriches CSCs and poor prognostic gene signatures. Future studies to explore the specific molecular mechanisms underlying these observations may provide new molecular targets for the development of therapies for targeting CSCs in breast cancer patient. Citation Format: Hoe Suk Kim, Seungyeon Ryu, So-Hyun Yoon, Sangeun Lee, Junhyuk Song, Yoonjung Choi, Moonjou Baek, Han-Byoel Lee, Sangyong Jon, Daeyoup Lee, Wonshik Han. Spheroid culture of ER+ breast cancer patient-derived tumor cells enriches cancer stem-likecells with EpCAM-/CD49f+and high ALDH activity and poor prognostic gene signatures [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2022; 2022 Apr 8-13. Philadelphia (PA): AACR; Cancer Res 2022;82(12_Suppl):Abstract nr 6373.

Long Non-Coding RNA-TMPO-AS1 as ceRNA Binding to let-7c-5p Upregulates STRIP2 Expression and Predicts Poor Prognosis in Lung Adenocarcinoma.

BackgroundStriatin-interacting protein 2 (STRIP2), also called Fam40b, has been reported to regulate tumor cell growth. But the role of STRIP2 in lung adenocarcinoma (LUAD) has not been discovered clearly. Thus, the aim of our study is to explore the function and underlying mechanism of STRIP2 in LUAD.MethodsExpression of STRIP2 was determined using the Cancer Genome Atlas (TCGA), GTEx, Ualcan, and the Human Protein Altas databases. The Correlation of STRIP2 and survival was detected by PrognoScan and Kaplan–Meier plotter databases. Besides, the correlation between STRIP2 expression and tumor immune infiltration as well as immune checkpoints were analyzed by the ssGSEA method. The biological function of STRIP2 and its co-expression genes was determined by gene ontology (GO) and Genes and Genomes (KEGG), respectively. Finally, the expression level and biological function of STRIP2 in LUAD were determined by qPCR, CCK8, transwell, and wound healing assays.ResultsThis manuscript revealed a significantly increased expression of mRNA and protein of STRIP2 in lung adenocarcinoma compared with the adjacent normal tissues. GEO and Kaplan–Meier plotter databases showed higher STRIP2 expression levels were correlated with poor prognosis survival of LUAD. Moreover, Cox regression analysis suggested that a higher STRIP2 level served as an independent risk factor in predicting deteriorative overall survival (OS) for LUAD patients. SsGSEA results showed STRIP2 expression level was positively correlated with infiltrating levels of Th2 cells in LUAD. Lastly, GO analysis indicated the biological processes were enriched in nuclear division and positive regulation of the cell cycle. KEGG signaling pathway analysis showed STRIP2 was correlated with the MAPK signaling pathway and the TNF signaling pathway. The GSEA database showed that STRIP2 was positively associated with the epithelial–mesenchymal transition, cell cycle, and TNF signaling pathway. The QRT-PCR assay showed that STRIP2 was upregulated in LUAD cell lines. Cell proliferation and migration were inhibited in LUAD by knockdown of STRIP2. Moreover, we confirmed that the TMPO-AS1/let-7c-5p/STRIP2 network regulates STRIP2 overexpression in LUAD and is associated with poor prognosis.ConclusionOur findings indicated that STRIP2 acted as a crucial oncogene in LUAD and was correlated with unfavorable survival and tumor infiltration inflation.

Evaluation of Annexins Family as Potential Biomarker for Predicting Progression and Prognosis in Clear Renal Cell Carcinoma.

Annexins family (ANXAs), as a Ca2+-dependent phospholipid-binding protein superfamily, participates in a wide variety of biological activities and has been reported to be dysregulated in numerous types of human cancers. Evidence from cell lines and human tissues indicates that ANAXs are involved in kidney clear renal cell carcinoma (KIRC) tumorigenesis. However, their prognostic value and expression pattern associated with KIRC remain to be elucidated. We visited public databases, including ONCOMINE, Gene Expression Profiling Interactive Analysis (GEPIA), Kaplan-Meier plotter, cBioPortal, and GeneMANIA, to conduct comprehensive bioinformatics analysis and tried to detect basic relationships between each Annexins family member and KIRC. We found that the expression level of ANXA1/2/4/5/6/7/8/13 in clear renal cell carcinoma tissue was higher than that in the kidney tissue, while the expression level of ANXA3/9/11 in the former was lower than that in the latter. The expression level of ANXA7/8/13 is related to the stage of the tumour. Survival analysis using the Kaplan-Meier plotter database showed that a high transcription level of ANXA2/5/8/10 is related to a low overall survival rate (OS) in predicting KIRC patients. In contrast, high ANXA3/4/7/9/11/13 levels are associated with a high OS in these patients. Our study implies that ANXA4/8/13 are potential targets of precision therapy for patients with KIRC and that ANXA2/5/8/10 are new biomarkers for the prognosis of KIRC.