Combination of bulk RNA sequencing and scRNA sequencing uncover the molecular characteristics of MAPK signaling in kidney renal clear cell carcinoma.

The MAPK signaling pathway significantly impacts cancer progression and resistance; however, its functions remain incompletely assessed across various cancers, particularly in kidney renal clear cell carcinoma (KIRC). Therefore, there is an urgent need for comprehensive pan-cancer investigations of MAPK signaling, particularly within the context of KIRC. In this research, we obtained TCGA pan-cancer multi-omics data and conducted a comprehensive analysis of the genomic and transcriptomic characteristics of the MAPK signaling pathway. For in-depth investigation in KIRC, status of MAPK pathway was quantitatively estimated by ssGSEA and Ward algorithm was utilized for cluster analysis. Molecular characteristics and clinical prognoses of KIRC patients with distinct MAPK activities were comprehensively explored using a series of bioinformatics algorithms. Subsequently, a combination of LASSO and COX regression analyses were utilized sequentially to construct a MAPK-related signature to help identify the risk level of each sample. Patients in the C1 subtype exhibited relatively higher levels of MAPK signaling activity, which were associated with abundant immune cell infiltration and favorable clinical outcomes. Single-cell RNA sequencing (scRNA-seq) analysis of KIRC samples identified seven distinct cell types, and endothelial cells in tumor tissues had obviously higher MAPK scores than normal tissues. The immunohistochemistry results indicated the reduced expression levels of PAPSS1, MAP3K11, and SPRED1 in KIRC samples. In conclusion, our study represents the first integration of bulk RNA sequencing and single-cell RNA sequencing to elucidate the molecular characteristics of MAPK signaling in KIRC, providing a solid foundation for precision oncology.

Tumor Vaccines: Unleashing the Power of the Immune System to Fight Cancer.

This comprehensive review delves into the rapidly evolving arena of cancer vaccines. Initially, we examine the intricate constitution of the tumor microenvironment (TME), a dynamic factor that significantly influences tumor heterogeneity. Current research trends focusing on harnessing the TME for effective tumor vaccine treatments are also discussed. We then provide a detailed overview of the current state of research concerning tumor immunity and the mechanisms of tumor vaccines, describing the complex immunological processes involved. Furthermore, we conduct an exhaustive analysis of the contemporary research landscape of tumor vaccines, with a particular focus on peptide vaccines, DNA/RNA-based vaccines, viral-vector-based vaccines, dendritic-cell-based vaccines, and whole-cell-based vaccines. We analyze and summarize these categories of tumor vaccines, highlighting their individual advantages, limitations, and the factors influencing their effectiveness. In our survey of each category, we summarize commonly used tumor vaccines, aiming to provide readers with a more comprehensive understanding of the current state of tumor vaccine research. We then delve into an innovative strategy combining cancer vaccines with other therapies. By studying the effects of combining tumor vaccines with immune checkpoint inhibitors, radiotherapy, chemotherapy, targeted therapy, and oncolytic virotherapy, we establish that this approach can enhance overall treatment efficacy and offset the limitations of single-treatment approaches, offering patients more effective treatment options. Following this, we undertake a meticulous analysis of the entire process of personalized cancer vaccines, elucidating the intricate process from design, through research and production, to clinical application, thus helping readers gain a thorough understanding of its complexities. In conclusion, our exploration of tumor vaccines in this review aims to highlight their promising potential in cancer treatment. As research in this field continues to evolve, it undeniably holds immense promise for improving cancer patient outcomes.

DICER1-AS1 Promotes the Malignant Behaviors of Colorectal Cancer Cells by Regulating miR-296-5p/STAT3 Axis.

BACKGROUND: Long non-coding RNA (lncRNA) exerts a regulatory role in the occurrence and progression of tumors. This study aimed at probing into the function and mechanism of lncRNA DICER1 antisense RNA 1 (DICER1-AS1) in colorectal cancer (CRC). METHODS: The expressions of DICER1-AS1, miR-296-5p and STAT3 mRNA were tested by quantitative real-time polymerase chain reaction (qRT-PCR). Cell counting kit-8 (CCK-8) assay was employed to detect cell proliferation, and Transwell was used to detect cell migration and invasion. In addition, the expressions of apoptosis-related proteins Bax and Bcl2 were detected by Western blot. Interactions between DICER1-AS1 and miR-296-5p, and miR-296-5p and STAT3 were predicted and determined by bioinformatics analysis, luciferase reporter assay and RNA binding protein immunoprecipitation (RIP) assay. RESULTS: The expressions of DICER1-AS1 and STAT3 mRNA were significantly up-regulated while miR-296-5p expression was remarkably down-regulated in CRC tissues and cell lines. Over-expression of DICER1-AS1 or transfection of miR-296-5p inhibitors could promote the proliferation, migration and invasion and inhibit apoptosis of CRC cells, whereas knockdown of DICER1-AS1 or transfection of miR-296-5p mimics had the opposite effects. Additionally, DICER1-AS1 could down-regulate miR-296-5p expression via sponging it. DICER1-AS1 also enhanced the expression of STAT3, which was identified as a target gene of miR-296-5p. CONCLUSION: DICER1-AS1 acts as an oncogenic lncRNA in CRC via modulating miR-296-5p/STAT3 axis. Our results provide a new direction for the diagnosis and treatment of CRC.

Construction and analysis of circular RNA molecular regulatory networks in clear cell renal cell carcinoma.

Increasing evidence has indicated that circular (circ)RNAs participate in carcinogenesis; however, the specific regulatory mechanisms underlying the effects of circRNAs, microRNAs (miRNAs/miRs) and genes on the development of clear cell renal cell carcinoma (CCRCC) remain unclear. In the present study, RNA microarray data from CCRCC tissues and control samples were downloaded from the Gene Expression Omnibus and The Cancer Genome Atlas, in order to identify significantly dysregulated circRNAs, miRNAs and genes. The Cancer­Specific circRNA Database was used to explore the interactions between miRNAs and circRNAs, whereas TargetScan and miRDB were employed to predict the mRNA targets of miRNAs. Functional enrichment and prognostic analyses were conducted in R. The results revealed that 324 circRNAs were downregulated, whereas 218 circRNAs were upregulated in cancer. In addition, a circRNA­miRNA­mRNA interaction network was constructed. Gene Ontology analysis of the upregulated genes revealed that these genes were enriched in biological processes, including 'flavonoid metabolic process', 'cellular glucuronidation' and 'T cell activation'. The downregulated genes were mainly enriched in biological processes, such as 'nephron development', 'kidney development' and 'renal system development'. The hub genes, including membrane palmitoylated protein 7, aldehyde dehydrogenase 6 family member A1, transcription factor AP­2α, collagen type IV α 4 chain, nuclear receptor subfamily 3 group C member 2, plasminogen, Holliday junction recognition protein, claudin 10, kinesin family member 18B and thyroid hormone receptor ß, and the hub miRNAs, including miR­21­3p, miR­155­3p, miR­144­3p, miR­142­5p, miR­875­3p, miR­885­3p, miR­3941, miR­224­3p, miR­584­3p and miR­138­1­3p, were significantly associated with CCRCC survival. In conclusion, these results suggested that the significantly dysregulated circRNAs, miRNAs and genes identified in this study may be considered potential biomarkers of the carcinogenesis of CCRCC and the survival of patients with this disease.

PELP1 is a novel oncogene in gastric tumorigenesis and negatively regulated by miR-15 family microRNAs.

BACKGROUD: Gastric cancer (GC) is one of the leading causes of cancer-related death in East Asia and some South American countries, but its mechanism has not been clarified clearly. Proline-, glutamic acid-, and leucine-rich protein-1 (PELP1), a co-regulatory molecule of estrogen receptor α (ER α), is up-regulated in series of cancers such as endometrial carcinoma, ovarian cancer, colorectal cancer, breast cancer, and non-small cell lung cancer. However, PELP1's role in GC is still obscure, and its aberrant expression in cancers also remains to be explained. METHODS: Immunohistochemical staining and Real-time PCR were used to compare the expression level of PELP1 in GC tissues and adjacent tissues. Western blot was used to detect the expression of PELP1 in cell lines. Kaplan-meier analysis and chi-square test were applied to evaluate the potential of PELP1 to function as a cancer biomarker. RNA interference was used to inhibit PELP1 expression in GC cells, followed by detecting cell proliferation, apoptosis, migration and invasion. Luciferase assay was conducted to validate whether miR-15 family members can directly target PELP1. RESULTS: In this study, we validated that PELP1 was significantly up-regulated in GC samples and cell lines. It was also demonstrated that the up-regulation of PELP1 was associated with several clinicopathologic features such as tumor diameter (P< 0.001), serum CEA level (P= 0.034), and lymphatic metastasis (P= 0.0009) of GC patients, and its high expression was correlated with shorter disease-free survival and overall survival of the patients. Knockdown of PELP1 remarkably arrested the proliferationï» migration and invasion, while promoted apoptosis. We also confirmed that miR-15 family microRNAs, most of which were down-regulated and tumor suppressor in cancers, were posttranscriptional regulators of PELP1. CONCLUSION: In conclusion, we demonstrated that PELP1 was an oncogene of GC associated with patients' prognosis and miR-15 family members contributed to its aberrant expression in cancers.