Východiska: Prognóza pacientů s karcinomem kolorekta (colorectal cancer – CRC) závisí především na rozsahu onemocnění v době diagnózy, proto je brzký záchyt jedním z hlavních předpokladů úspěšné léčby. Současný výzkum ukazuje, že exozomální dlouhé nekódující RNA (lncRNA) jsou spojeny s rozvojem nádorových onemocnění. Jelikož jsou lncRNA často tkáňově specifické, jejich kvantifikace v exozomech se nabízí jako neinvazivní metoda pro včasnou detekci CRC. V naší práci jsme se zaměřili na optimalizaci protokolu pro analýzu exozomálních lncRNA z krevního séra pacientů s CRC jako potenciálních diagnostických biomarkerů. Materiál a metody: Exozomy byly izolovány pomocí gelové chromatografie ze 150 μl séra pacientů s CRC a zdravých dárců. Jejich kvalita a kvantita byla potvrzena elektronovou mikroskopií a analýzou dynamického rozptylu světla (dynamic light scattering – DLS) a proteinové markery byly detekovány metodou Western blot. Po izolaci RNA byly ze vzorků připraveny cDNA knihovny, které byly sekvenovány pomocí NextSeq 550. Výsledky: Úspěšně jsme izolovali exozomy a ověřili jsme jejich vlastnosti několika různými metodami. Knihovny byly připraveny ze všech vzorků i přes velmi nízký objem výchozího materiálu. Sekvenační data potvrzují přítomnost protein kódující (50 %) i nekódující RNA, kterou tvoří především lncRNA (28,2 %), pseudogeny (15,2 %) a další typy RNA (6,5 %). Výsledky dále ukázaly významně změněné hladiny některých lncRNA, na základě jejichž exprese bylo možné odlišit vzorky od pacientů s CRC od vzorků zdravých kontrol. Pomocí analýzy obohacení genové sady (gene set enrichment analysis – GSEA) jsme pozorovali významně obohacené třídy genů, které souvisejí s opravami DNA nebo regulací buněčného cyklu. Závěr: Naše pilotní data naznačují, že lncRNA představují významnou část RNA přítomné v exozomech a jejich rozdílné hladiny mají schopnost odlišit CRC pacienty od zdravých kontrol. Analýza obohacených genů zároveň prokázala významné zastoupení lncRNA podílejících se na regulaci buněčného cyklu a oprav DNA, což naznačuje jejich možné zapojení do procesů kancerogeneze. Výsledky je však třeba ověřit na větším souboru pacientů.
Background: The prognosis of patients with colorectal cancer (CRC) depends mainly on the extent of the disease at the time of diagnosis; therefore, early detection is one of the main prerequisites for successful treatment. Current research shows that exosomal long non-coding RNAs (lncRNAs) are associated with cancer development. As lncRNAs are often tissue specific, their quantification in exosomes is proposed as a non-invasive method for early detection of CRC. In this study, we aimed to optimize a protocol for analyzing exosomal lncRNAs from blood serum of CRC patients as potential diagnostic biomarkers. Material and methods: Exosomes were isolated by gel chromatography from 150 μl of serum of CRC patients and healthy donors. Their quality and quantity were confirmed by electron microscopy and dynamic light scattering (DLS) analysis; protein markers were detected by Western blot. After RNA isolation, cDNA libraries were prepared and sequenced using NextSeq 550. Results: We successfully isolated exosomes and verified them by several methods. Libraries were prepared from all samples despite very low volume of starting material. The sequencing data confirmed the presence of both protein-coding (50%) and non-coding RNAs, which consisted mainly of lncRNAs (28.2%), pseudogenes (15.2%) and other RNA types (6.5%). The results also showed significantly altered levels of some lncRNAs that could distinguish samples from CRC patients and healthy controls. Using gene set enrichment analysis (GSEA), we observed significantly enriched classes of genes related to DNA repair or cell cycle regulation. Conclusion: Our preliminary data suggest that lncRNAs represent a significant fraction of the RNA present in exosomes and that their distinct levels can separate CRC patients from healthy controls. The analysis of enriched genes also showed a significant representation of lncRNAs involved in cell cycle regulation and DNA repair, suggesting their possible involvement in cancerogenesis. However, the results need to be verified in a larger cohort of patients.
Long non-coding RNAs (lncRNAs) are defined as RNA molecules longer than 200 nucleotides with poor protein-coding capacity and key functions in regulation of gene expression. Dysregulations of lncRNAs (e.g. HOTAIR and MALAT I) were detected in plasma of breast cancer (BC) patients. Plasma samples are examined as liquid biopsies for purposes of non-invasive diagnostics therefore the research of plasma lncRNAs as potential plasma biomarkers became highly topical. 84 lncRNAs were profiled in 18 plasma samples - 9 BC patients and 9 age-matched healthy - using Human Inflammatory Response & Autoimmunity RT2 lncRNA PCR Array. Total RNA from plasma samples was isolated using miRNeasy Serum/Plasma Kit. Although a pre-amplification recommended for quantification from small starting RNA amounts was used, only 3 lncRNAs (A2ML1-AS1, GAS5 and SNHG5) were detected in all plasma samples. A total of 72 lncRNAs (e.g. HOTAIR or MALAT I) were detected only in some samples and 9 lncRNAs were not detected in any samples. No significant differences were observed in levels of plasma lncRNAs between the BC patients and healthy controls despite the fact that our panel contained also the lncRNAs whose levels were previously reported as significantly different in plasma or cancer tissues (e.g. GAS5, HOTAIR, MALAT I) in BC patients. Detection of lncRNAs in plasma is due to their low concentrations quite difficult as compared with tissues. Our findings suggest that analysis of plasma lncRNAs using this technology is not suitable for use as non-invasive diagnostic tool in BC patients.
- MeSH
- Humans MeSH
- Breast Neoplasms diagnosis genetics MeSH
- Polymerase Chain Reaction * MeSH
- Gene Expression Regulation, Neoplastic MeSH
- RNA, Long Noncoding blood genetics MeSH
- Check Tag
- Humans MeSH
- Publication type
- Journal Article MeSH
Multiple myeloma is the second most common hematological malignancy characterized by focal lesions of malignant plasma cells in the bone marrow. These lesions contain subclones that directly influence survival of patients. Bone marrow biopsies are single-site biopsies and thus cannot contain all information about the tumor. In contrast, liquid biopsies analyze circulating cells and molecules that are secreted from all sites of the tumor. Long noncoding RNA molecules are one class of these molecules. We performed a two-phase biomarker study investigating lncRNA expression profiles in exosomes of peripheral blood serum of newly diagnosed multiple myeloma (MM) patients, monoclonal gammopathy of undetermined significance (MGUS) patients in comparison with healthy donors (HD). Surprisingly, this analysis revealed dysregulation of only one exosomal lncRNA PRINS in MM vs HD. Overall, MM and MGUS patients were distinguished from HD with sensitivity of 84.9% and specificity of 83.3%. Our study suggests a possible diagnostic role for exosomal lncRNA PRINS in monoclonal gammopathies patients.
- MeSH
- Adult MeSH
- Exosomes metabolism MeSH
- Middle Aged MeSH
- Humans MeSH
- Survival Rate MeSH
- Multiple Myeloma * blood diagnosis mortality MeSH
- Disease-Free Survival MeSH
- RNA, Long Noncoding blood MeSH
- RNA, Neoplasm blood MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Clinical Trial MeSH
Colorectal cancer (CRC) is one of the main causes of death of neoplasia. Demand for predictive and prognostic markers to reverse this trend is increasing. Long non-coding RNA HOTAIR (Homeobox Transcript Antisense Intergenic RNA) overexpression in tumors was previously associated with poor prognosis and higher mortality in different carcinomas. We analyzed HOTAIR expression levels in tumor and blood of incident sporadic CRC patients in relation to their overall survival with the aim to evaluate surrogate prognostic marker for CRC. Tissue donor group consisted of 73 CRC patients sampled for tumor and normal tissue. Blood donor group was represented by 84 CRC patients compared with 40 healthy controls. Patients were characterized for tumor-node-metastasis stage, tumor grade, microsatellite instability and tumor penetration by stromal cells. HOTAIR levels were assessed by real-time quantitative PCR. CRC patients had higher HOTAIR expression in blood than healthy controls (P = 0.0001), whereas there was no difference in HOTAIR levels between tumor and adjacent mucosa of CRC patients. HOTAIR levels positively correlated between blood and tumor (R = 0.43, P = 0.03). High HOTAIR levels in tumors were associated with higher mortality of patients [Cox's proportional hazard, hazard ratio = 4.4, 95% confidence interval: 1.0-19.2, P = 0.046]. The hazard ratio was even higher when blood HOTAIR levels were taken into account (hazard ratio = 5.9, 95% confidence interval: 1.3-26.1, P = 0.019). Upregulated HOTAIR relative expression in primary tumors and in blood of CRC patients is associated with unfavorable prognosis. Our data suggest that HOTAIR blood levels may serve as potential surrogate prognostic marker in sporadic CRC.
- MeSH
- Adult MeSH
- Colon metabolism MeSH
- Colorectal Neoplasms blood genetics mortality MeSH
- Real-Time Polymerase Chain Reaction MeSH
- Middle Aged MeSH
- Humans MeSH
- RNA, Messenger genetics MeSH
- Survival Rate MeSH
- Biomarkers, Tumor blood genetics MeSH
- Follow-Up Studies MeSH
- Reverse Transcriptase Polymerase Chain Reaction MeSH
- Prognosis MeSH
- Rectum metabolism MeSH
- RNA, Long Noncoding blood genetics MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Neoplasm Staging MeSH
- Case-Control Studies MeSH
- Neoplasm Grading MeSH
- Check Tag
- Adult MeSH
- Middle Aged MeSH
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Comparative Study MeSH
