scholarly journals A Review on the Evolving Roles of MiRNA-Based Technologies in Diagnosing and Treating Heart Failure

Cells ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 3191
Author(s):  
Peter J. Kennel ◽  
P. Christian Schulze
Keyword(s):  
Heart Failure ◽  
Therapeutic Targets ◽  
Transcriptional Regulators ◽  
Current State ◽  
Non Coding Rnas ◽  
Cardiovascular Homeostasis ◽  
Potential Biomarkers

MiRNA-regulated processes are pivotal in cardiovascular homeostasis and disease. These short non-coding RNAs have ideal properties that could be utilized as potential biomarkers; moreover, their functions as post-transcriptional regulators of mRNA make them interesting therapeutic targets. In this review, we summarize the current state of miRNA-based biomarkers in a variety of diseases leading to heart failure, as well as provide an outlook on developing miRNA-based therapies in the heart failure field.

scholarly journals Long non-coding RNAs in brain tumors

NAR Cancer ◽  
2021 ◽  
Vol 3 (1) ◽  
Author(s):  
Keisuke Katsushima ◽  
George Jallo ◽  
Charles G Eberhart ◽  
Ranjan J Perera
Keyword(s):  
Gene Expression ◽  
Brain Tumors ◽  
Brain Cancer ◽  
Regulation Of Gene Expression ◽  
Therapeutic Targets ◽  
Diagnostic Biomarkers ◽  
Cancer Pathogenesis ◽  
Current State ◽  
Non Coding Rnas ◽  
Post Transcriptional Regulation

Abstract Long non-coding RNAs (lncRNAs) have been found to be central players in the epigenetic, transcriptional and post-transcriptional regulation of gene expression. There is an accumulation of evidence on newly discovered lncRNAs, their molecular interactions and their roles in the development and progression of human brain tumors. LncRNAs can have either tumor suppressive or oncogenic functions in different brain cancers, making them attractive therapeutic targets and biomarkers for personalized therapy and precision diagnostics. Here, we summarize the current state of knowledge of the lncRNAs that have been implicated in brain cancer pathogenesis, particularly in gliomas and medulloblastomas. We discuss their epigenetic regulation as well as the prospects of using lncRNAs as diagnostic biomarkers and therapeutic targets in patients with brain tumors.

scholarly journals Potential Biomarkers for Therapeutic Monitoring and Clinical Outcome in Breast Cancer

2021 ◽  
Author(s):  
Yuki Yamamoto ◽  
Sabrina La Salvia ◽  
Sahoo Susmita ◽  
Hidetoshi Tahara
Keyword(s):  
Expression Profiles ◽  
Therapeutic Targets ◽  
Transfer Rna ◽  
Therapeutic Monitoring ◽  
Transfer Rnas ◽  
Non Coding Rna ◽  
Tumor Tissues ◽  
Non Coding Rnas ◽  
Long Non Coding Rna ◽  
Potential Biomarkers

Non-coding RNAs are a species of RNA that are not translated to proteins. These include transfer RNAs and ribosomal RNAs, microRNAs, transfer RNA-derived fragments, and long non-coding RNA. It is known that expression levels of some non-coding RNAs included microRNAs are altered in cancer cells or tumor tissues. Moreover, expression profiles of such non-coding RNAs correlate between tissues and body fluids. Therefore, several non-coding RNAs are being used as diagnostic/prognosis biomarkers or therapeutic targets in cancer. In this chapter, we review about representative non-coding RNAs and introduce especially microRNA as diagnosis/prognosis biomarkers and therapeutic targets.

Long non-coding RNAs as potential biomarkers and therapeutic targets for gliomas

2013 ◽  
Vol 81 (2) ◽  
pp. 319-321 ◽  
Author(s):  
Yuanzhao Sun ◽  
Zhong Wang ◽  
Dai Zhou
Keyword(s):  
Therapeutic Targets ◽  
Non Coding Rnas ◽  
Potential Biomarkers

scholarly journals Drug Resistance in Osteosarcoma: Emerging Biomarkers, Therapeutic Targets and Treatment Strategies

Cancers ◽  
2021 ◽  
Vol 13 (12) ◽  
pp. 2878
Author(s):  
Claudia Maria Hattinger ◽  
Maria Pia Patrizio ◽  
Leonardo Fantoni ◽  
Chiara Casotti ◽  
Chiara Riganti ◽  
...  
Keyword(s):  
Drug Resistance ◽  
Therapeutic Targets ◽  
Treatment Strategies ◽  
Cure Rate ◽  
Acquired Drug Resistance ◽  
Unselected Patient ◽  
Dismal Prognosis ◽  
Non Coding Rnas ◽  
High Grade Osteosarcoma

High-grade osteosarcoma (HGOS), the most common primary malignant tumor of bone, is a highly aggressive neoplasm with a cure rate of approximately 40–50% in unselected patient populations. The major clinical problems opposing the cure of HGOS are the presence of inherent or acquired drug resistance and the development of metastasis. Since the drugs used in first-line chemotherapy protocols for HGOS and clinical outcome have not significantly evolved in the past three decades, there is an urgent need for new therapeutic biomarkers and targeted treatment strategies, which may increase the currently available spectrum of cure modalities. Unresponsive or chemoresistant (refractory) HGOS patients usually encounter a dismal prognosis, mostly because therapeutic options and drugs effective for rescue treatments are scarce. Tailored treatments for different subgroups of HGOS patients stratified according to drug resistance-related biomarkers thus appear as an option that may improve this situation. This review explores drug resistance-related biomarkers, therapeutic targets and new candidate treatment strategies, which have emerged in HGOS. In addition to consolidated biomarkers, specific attention has been paid to the role of non-coding RNAs, tumor-derived extracellular vesicles, and cancer stem cells as contributors to drug resistance in HGOS, in order to highlight new candidate markers and therapeutic targets. The possible use of new non-conventional drugs to overcome the main mechanisms of drug resistance in HGOS are finally discussed.

scholarly journals Identification of collagen genes related to immune infiltration and epithelial-mesenchymal transition in glioma

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Wen Yin ◽  
Hecheng Zhu ◽  
Jun Tan ◽  
Zhaoqi Xin ◽  
Quanwei Zhou ◽  
...  
Keyword(s):  
Tumor Progression ◽  
Epithelial Mesenchymal Transition ◽  
Malignant Tumors ◽  
Therapeutic Targets ◽  
Migration And Invasion ◽  
Who Grade ◽  
Mesenchymal Transition ◽  
Immunosuppressive Microenvironment ◽  
Collagen Genes ◽  
Potential Biomarkers

Abstract Background Gliomas account for the majority of fatal primary brain tumors, and there is much room for research in the underlying pathogenesis, the multistep progression of glioma, and how to improve survival. In our study, we aimed to identify potential biomarkers or therapeutic targets of glioma and study the mechanism underlying the tumor progression. Methods We downloaded the microarray datasets (GSE43378 and GSE7696) from the Gene Expression Omnibus (GEO) database. Then, we used weighted gene co-expression network analysis (WGCNA) to screen potential biomarkers or therapeutic targets related to the tumor progression. ESTIMATE (Estimation of STromal and Immune cells in MAlignant Tumors using Expression data) algorithm and TIMER (Tumor Immune Estimation Resource) database were used to analyze the correlation between the selected genes and the tumor microenvironment. Real-time reverse transcription polymerase chain reaction was used to measure the selected gene. Transwell and wound healing assays were used to measure the cell migration and invasion capacity. Western blotting was used to test the expression of epithelial-mesenchymal transition (EMT) related markers. Results We identified specific module genes that were positively correlated with the WHO grade but negatively correlated with OS of glioma. Importantly, we identified that 6 collagen genes (COL1A1, COL1A2, COL3A1, COL4A1, COL4A2, and COL5A2) could regulate the immunosuppressive microenvironment of glioma. Moreover, we found that these collagen genes were significantly involved in the EMT process of glioma. Finally, taking COL3A1 as a further research object, the results showed that knockdown of COL3A1 significantly inhibited the migration, invasion, and EMT process of SHG44 and A172 cells. Conclusions In summary, our study demonstrated that collagen genes play an important role in regulating the immunosuppressive microenvironment and EMT process of glioma and could serve as potential therapeutic targets for glioma management.

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