Spike-Seq: An amplicon-based high-throughput sequencing approach for the sensitive detection and characterization of SARS-CoV-2 genetic variations in environmental samples.

Ever since the outbreak of COVID-19 disease in Wuhan, China, different variants of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) have been identified. Wastewater-based epidemiology (WBE), an approach that has been successfully applied in numerous case studies worldwide, offers a cost-effective and rapid way for monitoring trends of SARS-Cov-2 in the community level without selection bias. Despite being a gold-standard procedure, WBE is a challenging approach due to the sample instability and the moderate efficiency of SARS-CoV-2 concentration in wastewater. In the present study, we introduce Spike-Seq, a custom amplicon-based approach for the S gene sequencing of SARS-CoV-2 in wastewater samples, which enables not only the accurate identification of the existing Spike-related genetic markers, but also the estimation of their frequency in the investigated samples. The implementation of Spike-Seq involves the combination of nested PCR-based assays that efficiently amplify the entire nucleotide sequence of the S gene and next-generation sequencing, which enables the variant detection and the estimation of their frequency. In the framework of the current work, Spike-Seq was performed to investigate the mutational profile of SARS-CoV-2 in samples from the Wastewater Treatment Plant (WWTP) of Athens, Greece, which originated from multiple timepoints, ranging from March 2021 until July 2022. Our findings demonstrate that Spike-Seq efficiently detected major genetic markers of B.1.1.7 (Alpha), B.1.617.2 (Delta) as well as B.1.1.529 (Omicron) variants in wastewater samples and provided their frequency levels, showing similar variant distributions with the published clinical data from the National Public Health organization. The presented approach can prove to be a useful tool for the detection of SARS-CoV-2 in challenging wastewater samples and the identification of the existing genetic variants of S gene.

Delta SARS-CoV-2 variant is entirely substituted by the omicron variant during the fifth COVID-19 wave in Attica region.

Wastewater analysis is the most attractive alternative way for the quantification and variant profiling of SARS-CoV-2. Infection dynamics can be monitored by RT-qPCR assays while NGS can provide evidence for the presence of existing or new emerging SARS-CoV-2 variants. Herein, apart from the infection dynamic in Attica since June 1st, 2021, the monitoring of 9 mutations of the omicron and 4 mutations of the delta SARS-CoV-2 variants, utilizing both novel Nested-Seq and RT-PCR, is reported and the substitution of the delta variant (B.1.617.2) by the omicron variant (B.1.1.529) in Attica, Greece within approximately one month is highlighted. The key difference between the two methodologies is discovery power. RT-PCR can only detect known sequences cost-effectively, while NGS is a hypothesis-free approach that does not require prior knowledge to detect novel genes. Overall, the potential of wastewater genomic surveillance for the early discovery and monitoring of variants important for disease management at the community level is underlined. This is the first study, reporting the SARS-CoV-2 infection dynamic for an extended time period and the first attempt to monitor two of the most severe variants with two different methodologies in Greece.

28S rRNA-Derived Fragments Represent an Independent Molecular Predictor of Short-Term Relapse in Prostate Cancer.

Prostate cancer (PCa) is a global health concern, being a leading cause of cancer-related mortality among males. Early detection and accurate prognosis are crucial for effective management. This study delves into the diagnostic and prognostic potential of 28S rRNA-derived fragments (rRFs) in PCa. Total RNA extracted from 89 PCa and 53 benign prostate hyperplasia (BPH) tissue specimens. After 3'-end polyadenylation, we performed reverse transcription to create first-strand cDNA. Using an in-house quantitative real-time PCR (qPCR) assay, we quantified 28S rRF levels. Post-treatment biochemical relapse served as the clinical endpoint event for survival analysis, which we validated internally through bootstrap analysis. Our results revealed downregulated 28S rRF levels in PCa compared to BPH patients. Additionally, we observed a significant positive correlation between 28S rRF levels and higher Gleason scores and tumor stages. Furthermore, PCa patients with elevated 28S rRF expression had a significantly higher risk of post-treatment disease relapse independently of clinicopathological data. In conclusion, our study demonstrates, for the first time, the prognostic value of 28S rRF in prostate adenocarcinoma. Elevated 28S rRF levels independently predict short-term PCa relapse and enhance risk stratification. This establishes 28S rRF as a potential novel molecular marker for PCa prognosis.

Identification of Novel Circular RNAs of the Human Protein Arginine Methyltransferase 1 (PRMT1) Gene, Expressed in Breast Cancer Cells.

Circular RNAs (circRNAs) constitute a type of RNA formed through back-splicing. In breast cancer, circRNAs are implicated in tumor onset and progression. Although histone methylation by PRMT1 is largely involved in breast cancer development and metastasis, the effect of circular transcripts deriving from this gene has not been examined. In this study, total RNA was extracted from four breast cancer cell lines and reversely transcribed using random hexamer primers. Next, first- and second-round PCRs were performed using gene-specific divergent primers. Sanger sequencing followed for the determination of the sequence of each novel PRMT1 circRNA. Lastly, bioinformatics analysis was conducted to predict the functions of the novel circRNAs. In total, nine novel circRNAs were identified, comprising both complete and truncated exons of the PRMT1 gene. Interestingly, we demonstrated that the back-splice junctions consist of novel splice sites of the PRMT1 exons. Moreover, the circRNA expression pattern differed among these four breast cancer cell lines. All the novel circRNAs are predicted to act as miRNA and/or protein sponges, while five circRNAs also possess an open reading frame. In summary, we described the complete sequence of nine novel circRNAs of the PRMT1 gene, comprising distinct back-splice junctions and probably having different molecular properties.

Identification and expression analysis of ten novel small non-coding RNAs (sncRNAs) in cancer cells using a high-throughput sequencing approach.

Non-coding RNAs are characterized as RNA molecules, which lack the capacity to encode protein structures and appear to include a level of internal signals. Moreover, they control various stages of gene expression, thus controlling the cell physiology and development. In this study, we implemented a high-throughput sequencing approach based on the primary semi-conductor technology and computational tools, in order to identity novel small non-coding RNAs. Fourteen human cancer cell lines were cultured, and RNA samples were enriched for small RNAs following semi-conductor next generation sequencing (NGS). Bioinformatics analysis of NGS data revealed the existence of several classes of ncRNAs using the miRDeep* and CPSS 2.0 software. To investigate the existence of the predicted non-coding RNA sequences in cDNA pools of cell lines, a developed qPCR-based assay was implemented. The structure of each novel small ncRNA was visualized, using the RNAfold algorithm. Our results support the existence of twenty (20) putative new small ncRNAs, ten (10) of which have had their expression experimentally validated and presented differential profiles in cancerous and normal cells. A deeper comprehension of the ncRNAs interactive network and its role in cancer can therefore be translated into a wide range of clinical applications. Despite this progress, further scientific research from different perspectives and in different fields is needed, so that the riddle of the human transcriptome can be solved.

MicroRNA-92a-3p overexpression in peripheral blood mononuclear cells is an independent predictor of prolonged overall survival of patients with chronic lymphocytic leukemia.

MicroRNA-92a-3p (miR-92a-3p) derives from the oncogenic miR-17/92 cluster and its highly homologous miR-106a/363 cluster. miR-92a-3p regulates the expression of key transcription factors such as HIF1 and inhibits SOCS1 to enhance the anti-apoptotic STAT3/IL6 signaling pathway. In this study, we assessed the putative usefulness of miR-92a-3p as a prognostic and/or diagnostic biomarker in chronic lymphocytic leukemia (CLL). For this purpose, total RNA was extracted from mononuclear cells isolated from the peripheral blood of 88 CLL patients and 36 non-leukemic blood donors, was polyadenylated and reversely transcribed. miR-92a-3p expression was quantified using an accurate qPCR method. miR-92a-3p levels were significantly lower in peripheral blood mononuclear cells of CLL patients. Overall survival (OS) analysis revealed that high miR-92a-3p expression predicts significantly prolonged OS of CLL patients. Interestingly, miR-92a-3p overexpression remains a significant prognosticator in subgroups of CLL patients with distinct prognosis. In conclusion, miR-92a-3p overexpression is a potential surrogate biomarker of favorable outcome of CLL patients.

The outcome of patients with high-risk MDS achieving stable disease after treatment with 5-azacytidine: A retrospective analysis of the Hellenic (Greek) MDS Study Group.

The demethylating factor 5-azacytidine (5-AZA) improves survival in intermediate-2 and high-risk myelodysplastic syndrome (MDS) patients [according to the International Prognostic Score System (IPSS)] responding to treatment. However, the outcome of patients achieving stable disease (SD) is unclear. This retrospective study of the Hellenic MDS Study Group included 353 intermediate-2 or high IPSS risk patients treated with 5-AZA. Forty-four out of 86 (51.6%) patients achieving SD and continuing treatment with 5-AZA showed a lower risk of transformation of MDS to acute myeloid leukemia (AML) and increased overall survival (OS), compared to SD patients who discontinued the treatment (estimated median AML-free survival = 38 months, 95% CI = 10.7-65.3 vs 15 months, 95% CI = 10.4-19.6, P < .001; estimated median OS = 20 months, 95% CI = 5.5-34.5 vs 11 months, 95% CI = 5.8-16.2, P < .001). Moreover, SD patients continuing treatment with 5-AZA had no differences in AML-free survival compared to patients showing response to 5-AZA (estimated median AML-free survival = 38 months, 95% CI = 10.7-65.3 vs 31 months, 95% CI = 23.6-38.4, P = .45; estimated median OS 20 months, 95% CI = 5.5-34.5 vs 25 months, 95% CI = 21.3-28.7, P = .50). In conclusion, MDS patients achieving SD in the first 6 months of treatment with 5-AZA as best response should continue receiving 5-AZA as they may benefit from prolonged treatment.

Molecular cloning of novel transcripts of the adaptor-related protein complex 2 alpha 1 subunit (AP2A1) gene, using Next-Generation Sequencing.

The adaptor-related protein (AP) complexes play important roles in cargo selection and vesicle formation, and hence in intracellular membrane trafficking. Five different AP complexes are currently known, each consisting of four subunits, known as adaptins. AP-2, the most thoroughly characterized of the five AP complexes, facilitates clathrin-mediated endocytosis. In this study, we describe the discovery and molecular cloning of seventy-seven novel alternatively spliced transcripts of the human AP2A1 gene, which encodes the αA adaptin of the AP-2 complex. For this purpose, we have used Next-Generation Sequencing (NGS), a powerful tool for studying alternative splicing. In brief, we subcultured fifty-five established human cell lines, originating from several distinct cancerous and normal tissues, extracted total RNA, and synthesized first-strand cDNA. Next, we used nested touchdown PCR to amplify the whole coding region of the AP2A1 transcripts of each cell line, mixed all PCR products, and proceeded to NGS library construction, template preparation, and semiconductor sequencing. Extensive bioinformatic analysis revealed thirteen novel splice junctions of previously annotated exons, as also verified via nested PCR with primers targeting these splice junctions. Moreover, consecutive nested PCRs led to the determination of the primary structure of seventy-seven novel AP2A1 transcripts, all of which were shown to comprise at least one premature translation termination codon, thus representing nonsense-mediated mRNA decay (NMD) candidates. NMD is a mechanism that cells use to control gene expression. Consequently, alterations in the levels of these potentially non-coding AP2A1 transcripts could lead to a decrease in the number of AP2A1 mRNA molecules, when needed. Undoubtedly, the exact role of these new APA1 splice variants merits elucidation.

Non-coding RNAs: the riddle of the transcriptome and their perspectives in cancer.

Non-coding RNAs (ncRNAs) constitute a heterogeneous group of RNA molecules in terms of biogenesis, biological function as well as length and structure. These biological molecules have gained attention recently as a potentially crucial layer of tumor cell progression or regulation. ncRNAs are expressed in a broad spectrum of tumors, and they play an important role not only in maintaining but also in promoting cancer development and progression. Recent discoveries have revealed that ncRNAs may act as key signal transduction mediators in tumor signaling pathways by interacting with RNA or proteins. These results reinforce the hypothesis, that ncRNAs constitute therapeutic targets, and point out their clinical potential as stratification markers. The major purpose of this review is to mention the emergence of the importance of ncRNAs, as molecules which are correlated with cancer, and to discuss their clinical implicit as prognostic diagnostic indicators, biomarkers, and therapeutic targets.

mRNA overexpression of the hypoxia inducible factor 1 alpha subunit gene (HIF1A): An independent predictor of poor overall survival in chronic lymphocytic leukemia.

The hypoxia inducible factor 1 (HIF1) is a heterodimeric transcription factor that ultimately regulates cellular responses to changes in oxygen tension. In this study, we examined the potential diagnostic and prognostic potential of the mRNA expression of HIF1 regulatory α-subunit (HIF1A) in chronic lymphocytic leukemia (CLL). For this purpose, total RNA was isolated from peripheral blood mononuclear cells collected from 88 CLL patients and 33 non-leukemic blood donors, and poly(A)-RNA was reversely transcribed. HIF1A mRNA levels were quantified using real-time PCR. Kaplan-Meier survival analysis showed that high HIF1A mRNA expression predicts inferior overall survival for CLL patients (p=0.001). Bootstrap univariate Cox regression analysis confirmed that HIF1A mRNA overexpression is a significant unfavorable prognosticator in CLL (hazard ratio=3.75, bias-corrected and accelerated 95% confidence interval=1.43-24.36, bootstrap p<0.001), independent of other established prognostic factors, including CD38 expression, the mutational status of the immunoglobulin heavy chain variable region (IGHV), and the clinical stage (Binet or Rai stage) or risk group (p<0.001 in all cases). Interestingly, HIF1A mRNA positivity retains its unfavorable prognostic value in distinct subgroups of patients, stratified according to established prognostic factors. Thus, HIF1A mRNA overexpression can be regarded as a promising, independent molecular biomarker of unfavorable prognosis in CLL.

Upregulated miR-16 expression is an independent indicator of relapse and poor overall survival of colorectal adenocarcinoma patients.

BACKGROUND: Colorectal adenocarcinoma is one of the most common malignant tumors of the gastrointestinal tract and the second leading cause of cancer-related deaths among adults in Western countries. miR-16 is heavily involved in cancer progression. In this study, we examined the potential diagnostic and prognostic utility of miR-16 expression in colorectal adenocarcinoma. METHODS: Total RNA was extracted from 182 colorectal adenocarcinoma specimens and 86 non-cancerous colorectal mucosae. After polyadenylation of 2 µg total RNA by poly(A) polymerase and subsequent reverse transcription with an oligo-dT adapter primer, miR-16 expression was determined using an in-house developed reverse transcription quantitative real-time PCR method, based on SYBR Green chemistry. SNORD43 (RNU43) and SNORD48 (RNU48) were used as reference genes. Next, we performed extensive biostatistical analysis. RESULTS: miR-16 was shown to be significantly upregulated in colorectal adenocarcinoma specimens compared to non-cancerous colorectal mucosae, suggesting its potential exploitation for diagnostic purposes. Moreover, high miR-16 expression predicts poor disease-free survival (DFS) and overall survival (OS) of colorectal adenocarcinoma patients. Multivariate Cox regression analysis confirmed that miR-16 overexpression is a significant unfavorable prognosticator in colorectal adenocarcinoma, independent of other established prognostic factors, radiotherapy, and chemotherapy. Interestingly, miR-16 overexpression retains its unfavorable prognostic value in patients with advanced yet locally restricted colorectal adenocarcinoma that has not grown through the wall of the colon or rectum (T3) and in those without distant metastasis (M0). CONCLUSIONS: Overexpression of the cancer-associated miR-16 predicts poor DFS and OS of colorectal adenocarcinoma patients, independently of clinicopathological factors that are currently used for prognostic purposes.

MicroRNA-155-5p Overexpression in Peripheral Blood Mononuclear Cells of Chronic Lymphocytic Leukemia Patients Is a Novel, Independent Molecular Biomarker of Poor Prognosis.

MicroRNA-155-5p (miR-155-5p) is a proinflammatory, oncogenic miRNA, involved in various physiological processes, including hematopoiesis, immunity, inflammation, and cell lineage differentiation. It regulates important transcription factors, such as E2F2, hypoxia-inducible factor 1 (HIF1), and FOXO3. Recently, the dysregulation of miR-155-5p expression has been linked to chronic lymphocytic leukemia (CLL) pathogenesis. In this research study, we investigated the potential diagnostic and prognostic value of miR-155-5p in CLL. To achieve our goal, we isolated total RNA from peripheral blood mononuclear cells (PBMCs) collected from 88 CLL patients and 36 nonleukemic blood donors and performed polyadenylation of total RNA and reverse transcription. Next, we quantified miR-155-5p levels using an in-house-developed real-time quantitative PCR method, before proceeding to extensive biostatistical analysis. Thus, it appears that miR-155-5p is significantly overexpressed in PBMCs of CLL patients and can distinguish them from nonleukemic population. Kaplan-Meier OS analysis and bootstrap univariate Cox regression showed that high miR-155-5p expression predicts inferior OS for CLL patients (p < 0.001). Interestingly, miR-155-5p overexpression retains its unfavorable prognostic role in CLL patients stratified according to established prognostic factors [CD38 expression and mutational status of the immunoglobulin heavy chain variable region (IGHV)]. Thus, miR-155-5p appears as a promising, independent molecular biomarker of unfavorable prognosis in CLL.