Abstract:Extracellular vesicles (EVs) are key mediators of intercellular communication. Part of their biological effects can be attributed to the transfer of cargos of diverse types of RNAs, which are promising diagnostic and prognostic biomarkers. EVs found in human biofluids are a valuable source for the development of minimally invasive assays. However, the total transcriptional landscape of EVs is still largely unknown. Here we develop a new method for total transcriptome profiling of plasma-derived EVs by next gen… Show more
“…A limited number of papers have examined whether circRNAs may be present in serum, mostly using computational methods (Amorim et al., 2017; Gu et al., 2017; Wei et al., 2017). Here, we have used a combination approach and identified 133 extracellular circRNAs (ex‐circRNAs) and further validated age‐related changes in three different ex‐circRNAs: circ_1305 , circ_722, and circ_1445 .…”
Section: Discussionmentioning
confidence: 99%
“…Our findings are a start at building a bridge over this knowledge gap. In addition, our study validates a recently published approach that incorporates RNA fractionation as a method to capture both short and long RNAs in one sequencing reaction (Amorim et al., 2017), with small differences in the method to fractionate RNA.…”
Section: Discussionmentioning
confidence: 99%
“…In general, the most well‐studied biotype of exRNA has been microRNAs (miRNAs), but other noncoding RNAs (ncRNAs) are also present in extracellular fluids including Piwi‐interacting RNAs (piRNAs), long noncoding RNAs (lncRNAs), small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), ribosomal RNAs (rRNAs), transfer RNAs (tRNAs), Y‐RNAs, and circular RNAs (circRNAs) (Amorim et al., 2017; Wei et al., 2017; Yeri et al., 2017). Although not as well‐characterized, fragments or transcripts of messenger RNA (mRNA) have also been identified in extracellular fluid (Amorim et al., 2017; Wei et al., 2017). …”
SummaryCirculating extracellular RNAs (exRNAs) are potential biomarkers of disease. We thus hypothesized that age‐related changes in exRNAs can identify age‐related processes. We profiled both large and small RNAs in human serum to investigate changes associated with normal aging. exRNA was sequenced in 13 young (30–32 years) and 10 old (80–85 years) African American women to identify all RNA transcripts present in serum. We identified age‐related differences in several RNA biotypes, including mitochondrial transfer RNAs, mitochondrial ribosomal RNA, and unprocessed pseudogenes. Age‐related differences in unique RNA transcripts were further validated in an expanded cohort. Pathway analysis revealed that EIF2 signaling, oxidative phosphorylation, and mitochondrial dysfunction were among the top pathways shared between young and old. Protein interaction networks revealed distinct clusters of functionally‐related protein‐coding genes in both age groups. These data provide timely and relevant insight into the exRNA repertoire in serum and its change with aging.
“…A limited number of papers have examined whether circRNAs may be present in serum, mostly using computational methods (Amorim et al., 2017; Gu et al., 2017; Wei et al., 2017). Here, we have used a combination approach and identified 133 extracellular circRNAs (ex‐circRNAs) and further validated age‐related changes in three different ex‐circRNAs: circ_1305 , circ_722, and circ_1445 .…”
Section: Discussionmentioning
confidence: 99%
“…Our findings are a start at building a bridge over this knowledge gap. In addition, our study validates a recently published approach that incorporates RNA fractionation as a method to capture both short and long RNAs in one sequencing reaction (Amorim et al., 2017), with small differences in the method to fractionate RNA.…”
Section: Discussionmentioning
confidence: 99%
“…In general, the most well‐studied biotype of exRNA has been microRNAs (miRNAs), but other noncoding RNAs (ncRNAs) are also present in extracellular fluids including Piwi‐interacting RNAs (piRNAs), long noncoding RNAs (lncRNAs), small nuclear RNAs (snRNAs), small nucleolar RNAs (snoRNAs), ribosomal RNAs (rRNAs), transfer RNAs (tRNAs), Y‐RNAs, and circular RNAs (circRNAs) (Amorim et al., 2017; Wei et al., 2017; Yeri et al., 2017). Although not as well‐characterized, fragments or transcripts of messenger RNA (mRNA) have also been identified in extracellular fluid (Amorim et al., 2017; Wei et al., 2017). …”
SummaryCirculating extracellular RNAs (exRNAs) are potential biomarkers of disease. We thus hypothesized that age‐related changes in exRNAs can identify age‐related processes. We profiled both large and small RNAs in human serum to investigate changes associated with normal aging. exRNA was sequenced in 13 young (30–32 years) and 10 old (80–85 years) African American women to identify all RNA transcripts present in serum. We identified age‐related differences in several RNA biotypes, including mitochondrial transfer RNAs, mitochondrial ribosomal RNA, and unprocessed pseudogenes. Age‐related differences in unique RNA transcripts were further validated in an expanded cohort. Pathway analysis revealed that EIF2 signaling, oxidative phosphorylation, and mitochondrial dysfunction were among the top pathways shared between young and old. Protein interaction networks revealed distinct clusters of functionally‐related protein‐coding genes in both age groups. These data provide timely and relevant insight into the exRNA repertoire in serum and its change with aging.
“…Blood is particularly useful in the context of liquid biopsies (LBs), where it allows a series of approaches for the detection of informative markers. In oncology, LBs encompasses three main components: (a) the detection and quantification of cell-free tumor-derived DNA [5][6][7][8]; (b) the quantification and cargo determination of extracellular vesicles [9][10][11]; and (c) the detection, quantification, morphological analysis, and determination of biomarkers in circulating tumor cells (CTCs) [12][13][14][15][16].…”
Background
Gastric adenocarcinoma (GAC) is the third deadliest malignant neoplasm worldwide, mostly because of late disease diagnosis, low chemotherapy response rates, and an overall lack of tumor biology understanding. Therefore, tools for prognosis and prediction of treatment response are needed. Quantification of circulating tumor cells (CTCs) and circulating tumor microemboli (CTM) and their expression of biomarkers has potential clinical relevance. Our aim was to evaluate CTCs and CTM and their expression of HER2 and plakoglobin in patients with nonmetastatic GAC, correlating the findings to clinicopathological data.
Materials and Methods
CTC enrichment was performed with isolation by size of epithelial tumor cells, and the analysis was performed with immunocytochemistry and microscopy. Two collections were made: one at diagnosis (55 samples before neoadjuvant treatment) and one after surgery and before adjuvant therapy (33 samples).
Results
A high detection rate of CTCs (90%) was observed at baseline. We evaluated HER2 expression in 45/55 biopsy samples and in 42/55 CTC samples, with an overlap of 36 subjects. Besides the good agreement observed for HER2 expression in primary tumors and paired CTCs for 36 cases (69.4%; κ = 0.272), the analysis of HER2 in CTCs showed higher positivity (43%) compared with primary tumors (11%); 3/5 patients with disease progression had HER2‐negative primary tumors but HER2‐positive CTCs. A significant CTC count drop in follow‐up was seen for CTC‐HER2‐positive cases (4.45 to 1.0 CTCs per mL) compared with CTC‐HER2‐negative cases (2.6 to 1.0 CTCs per mL). The same was observed for CTC‐plakoglobin‐positive cases (2.9 to 1.25 CTCs per mL).
Conclusion
CTC analysis, including their levels, plakoglobin, and HER2 expression, appears to be a promising tool in the understanding the biology and prognosis of GAC.
Implications for Practice
The analysis of circulating tumor cell levels from the blood of patients with gastric adenocarcinoma, before and after neoadjuvant treatment, is useful to better understand the behavior of the disease as well as the patients more likely to respond to treatment.
“…Besides CTCs and ctDNA the analysis of circulating microRNAs, exosomes or tumor-educated platelets may provide complementary information as "liquid biopsy" [44]. E.g., the integrin composition of exosomes seems to determine the organ site of metastatic niches [45] and the RNA expression pattern of tumor-educated blood platelets [46] reveals information on tumors in cancer patients.…”
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