The unique extracellular vesicles (EVs) or exosomes formed by the sequential invagination of the plasma membrane are diverse and encompass important constituents with biological functions. Speculations on its cell independent biological functions are significant and pose them as vital biomarkers and as drug delivery vehicles especially in cancer. EVs possess theragnostic values and are known to elicit specific immune response. Exosomes can also serve as potential nanocarriers for delivering miRNA, siRNA, anti-cancer drugs and membrane-associated proteins. Exosomes play a crucial role in regulating tumour progression, metastasis, and angiogenesis. This review thus portrays the multiple facets of exosomes, in concert with the source for exosomes production and further on its regulation and intercellular communication. The review also explores the recent advances, present status and the future prospective in the application of exosomes in cancer therapeutics and cancer diagnostics.
Objective:
Epigenetic modifications are gaining focus due to their indirect association with tumorigenesis. DNA methylation plays a prime role in regulation of gene expression. Any aberrations in this gene family may lead to chromosomal instability and increased magnitude of tumour progression. In line with the above fact, the present study has been designed to identify genetic alterations in the genes of the DNMT (DNA methyl-transferase) family among head and neck squamous cell carcinoma patients (HNSCC).
Methods:
The present study follows an observational design employing computational tools for analysis. The TCGA-Firehose Legacy data was assessed using the cBioportal database. The dataset comprised of 530 samples from HNSCC patients which were assessed for genetic alterations in the DNMT family. Furthermore, the protein stability analysis and pathogenicity of the mutations were assessed using I-Mutant Suite and PROVEAN tools.
Results:
Almost all genes of the
DNMT
family harboured gene amplification. The
TRDMT1
and
DNMT3L
genes showed deep deletions. Apart from these several non-synonymous, truncating and splice-site mutations were also documented. Protein stability and pathogenicity analysis revealed that majority of the mutations were found to decrease the stability and impose pathogenicity. Upon probing for reported mutations using gnomAD database, around six reference single nucleotide polymorphisms were identified which were found to exhibit a minor allele frequency less than 0.01.
Conclusions:
Screening of an exhaustive collection of patient’s samples could provide immense knowledge about the disease pathogenesis and identification of therapeutic leads. The variants identified in the present study could be used as diagnostic markers. However, further experimental analysis through genotyping assay is warranted to validate the present findings.
Objective: Brain abundant membrane attached signal protein 1 (BASP1) was originally identified as a membrane and cytoplasmic protein. Recent studies have shown that BASP1 highly expressed in cancer and promoted the proliferation of cancer. However, the role of BASP1 in head and neck squamous cell carcinoma (HNSCC) is largely unknown. Here, we performed a systematic data analysis to examine whether BASP1 can function as prognostic marker in HNSCC. Methods: In this study, we used Oncomine, and UALCAN, databases to analyze the expression of BASP1 in HNSCC. We used Kaplan-Meier plotter to evaluate the effect of BASP1 on clinical prognosis. In addition, we also analyzed genetic alterations, interaction network, and functional enrichment of BASP1. Results: BASP1 mRNA expression level was remarkably increased in HNSCC than in normal tissues (P=1.624e-12). Moreover, high BASP1 expression was significantly related to poor survival (p=0.00056) in HNSCC patients. In addition, BASP1 gene amplified in 5% of HNSCC patients which contributes to the overexpression of BASP1. Conclusions: These findings suggest that BASP1 was frequently amplified which contributes to the overexpression of BASP1, thereby promoting HNSCC progression. Thus, these results indicate that BASP1 might serve as a biomarker to predict the progression and prognosis of HNSCC patients.
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