The evaluation of exosomal miRNA biomarkers for cachexia
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ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE221666 | GEO | 2024/12/23
REPOSITORIES: GEO
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Project description:Cancer cachexia is highly prevalent in gastric cancer patients and is characterized by decreased food consumption and body weight. We previously created a rat model of cancer cachexia using MKN45cl85 and 85As2 cells derived from human gastric cancer. The 85As2 cells induced cachexia more potently than MKN45cl85 cells did. To clarify the mechanism underlying the difference in the cachexia-inducing ability of these cells, we conducted a DNA microarray analysis, with a focus on cell proliferation and the production of leukemia inhibitory factor (LIF), a cachexia-inducing factor. The plasma human LIF levels of 85As2-induced cachexic rats increased in parallel with the worsening of symptoms whereas the plasma levels of MKNcl85 were low. 85As2 cells displayed more genetic changes than MKN45cl85 cells did, which were related to Toll-like receptor (TLR) 4//5 signaling. Stimulation of both the cells with TLR4 (lipopolysaccharide) or TLR5 (flagellin) agonists did not affect proliferation. However, in 82As2 cells, LIF production was significantly increased by stimulation with TLR5, which was suppressed by an inhibitor of interleukin-1 receptor-associated kinase-1/4, which are important factors in the TLR5 signaling pathway. In conclusion, it is possible that the increase in LIF production through the activation of the TLR5 signaling pathway contributes to the cachexia-inducing ability of 85As2 cells.
2018-11-14 | GSE113110 | GEO
Project description:Background: Cancer cachexia (CAC) reduces patient survival and quality of life. Developments of efficient therapeutic strategies are required for the CAC treatments. This long-term process could be shortened by the drug-repositioning approach which exploits old drugs approved for non-cachexia disease. Amiloride, a diuretic drug, is clinically used for treatments of hypertension and edema due to heart failure. Here, we explored the effects of amiloride for ameliorating muscle wasting in murine models of cancer cachexia. Methods: CT26 and LLC tumor cells were subcutaneously injected into mice to induce cancer cachexia. Amiloride was intraperitoneally injected daily once tumors were formed. Cachexia features of the CT26 and LLC models, respectively, were characterized by phenotypic, histopathologic and biochemical analyses. Plasma exosomes and muscle atrophy-related proteins were quantitatively analyzed. Integrative NMR-based metabolomic and transcriptomic analyses were conducted to identify significantly altered metabolic pathways and distinctly changed metabolism-related biological processes in gastrocnemius. Results: The CT26 and LLC models displayed prominent cachexia features including decreases in body weight, skeletal muscle, adipose tissue and muscle strength. The amiloride treatment in tumor-bearing mice distinctly alleviated muscle atrophy and relieved cachexia-related features without affecting tumor growth. The CT26 and LLC cachexia mice showed increased particle density of plasma exosomes which were largely derived from tumors. Significantly, the amiloride treatment inhibited tumor-derived exosome release, which did not obviously affect exosome secretion from non-neoplastic tissues or induce observable systemic toxicities in normal healthy mice. Integrative-omics revealed significant metabolic impairments in cachectic gastrocnemius, including promoted muscular catabolism, inhibited muscular protein synthesis, blocked glycolysis and impeded ketone body oxidation. The amiloride treatment evidently improved the metabolic impairments in cachectic gastrocnemius. Conclusions: Our results demonstrated the efficacy of amiloride in ameliorating cachectic muscle wasting and elucidated the underlying mechanistic rationale for its use as an alternative strategy to improve CAC treatments.
2021-07-14 | GSE173250 | GEO
Project description:Exosomes and exosomal miRNAs from the plasma of volunteers were isolated from thyroid nodules and papillary tyriod cancer patients . Profiling of exosomal miRNA was performed using next-generation sequencing(NGS) to identify miRNA candidates for diagnosis.
2019-05-01 | GSE130512 | GEO
Project description:Background: Circular RNA (circRNA) has been reported to be involved in the pathogenesis of cardiovascular disease (CVD), however, it is unclear whether circRNA carried by exosomes (exos) can be used as biomarkers for chronic coronary syndrome (CCS). This study aimed to investigate the expression pattern of exosomal circRNAs in the plasma of CCS patients, and to screen exo-circRNAs that can act as biomarkers for the diagnosis of CCS. Methods: High-throughput sequencing technology was carried out in the plasma exosomal RNA of 15 CCS patients and 15 non-cardiac chest pain patients (NCCP, control group) (sequencing cohort) to screen for differentially expressed circRNAs. Selected differentially expressed exo-circRNAs were further verified by real time polymerase chain reaction (RT-PCR) in a small-sample cohort (derivation cohort) and a large-sample cohort (validation cohort). Receiver operating characteristic (ROC) curve analysis was performed to evaluate the diagnostic value of exo-circRNAs for CCS patients. Results: By high-throughput sequencing of circRNAs in 15 CCS patients and 15 NCCP patients, 276 circRNAs differentially expressed in plasma exosomes of CCS patients were screened by using |log2(Fold change) |>1 and q-value<0.001, and 103 were up-regulated and 173 were down-regulated. Among the 103 up-regulated circRNAs, 5 circRNAs with high expression levels and significantly increased in plasma exosomes of CCS patients were selected for validation. Twice RT-PCR validation demonstrated that exo-hsa_circ_0075269 and exo-hsa_circ_0000284 were significantly up-regulated in patients with CCS (P<0.001). Circulating exo-hsa_circ_0075269 and exo-hsa_circ_0000284 yielded the area under the curve (AUC) values of 0.761 (P<0.001, 95%CI=0.669, 0.852) and 0.623 (P=0.015, 95%CI=0.522, 0.724) for CCS, respectively by ROC curve analysis. Moreover, AUC of hsa_circ_0075269 combined with hsa_circ_0000284 for diagnosing CCS was 0.741 (P<0.001, 95%CI=0.667, 0.850). Conclusion: The expression profile of circRNA in plasma exosomes of patients with CCS was significantly different from that of the control group. Plasma exo-hsa_circ_0075269 and exo-hsa_circ_0000284 have the potential to be new biomarkers for CCS diagnosis.
2023-11-09 | GSE237983 | GEO
Project description:Exosomes were isolated from plasma of n = 12 healthy donors (HD) and n = 16 head and neck cancer (HNSCC) patients. miRNA profiling of exosomes was performed using nCounter SPRINT system. miRNAs being predicted to target EMT-related genes (CDH1, VIM, TWIST1 and SNAI1/2) were selected and compared between HD and HNSCC patients.
2022-11-09 | E-MTAB-12408 | biostudies-arrayexpress
Project description:Exosomes were isolated from plasma and saliva of healthy individuals and head and neck cancer (HNSCC) patients. miRNA profiling of plasma- and saliva-derived exosomes was performed using nCounter SPRINT system. Diagnostic panels were selected from the exosomal miRNA profile.
2022-08-31 | GSE209670 | GEO
Project description:There is an unmet clinical need for improved tissue and liquid biopsy tools for cancer detection. We investigated the proteomic profile of exosomes in 426 human samples from tissue explants (TE), plasma and other bodily fluids. Among traditional exosome markers, CD9, HSPA8, ALIX, HSP90AB1 represent pan-exosomes/exomeres. Moreover, we identified novel pan-exosome/exomere markers (e.g., ACTB, MSN, RAP1B). As proof of principle that exosomes are ideal diagnostic tools, we analyzed the proteome of TE exosomes (n=151) or plasma-derived exosomes (n=120). Comparison of TE exosomes identified proteins (e.g., VCAN, TNC, THBS2) that distinguish tumors from normal tissues with 90% sensitivity/94% specificity. Machinelearning classification of plasma-derived exosomes revealed 95% sensitivity/90% specificity in identifying cancer-associated exosomes. Finally, we defined a panel of tumor-type specific exosomal proteins in TE and plasma, which may help classify tumors of unknown primary origin. Overall, exosomal proteins can serve as reliable biomarkers for cancer detection and for determining cancer type
2020-08-17 | PXD018301 | Pride
Project description:Cancer-associated cachexia (CAC) is a metabolic syndrome characterized by progressive depletion of adipose and muscle tissue which cannot be corrected by conventional nutritional therapy. Adipose tissue, as an important energy storage, could appear obvious loss in early stage of CAC, which becomes a negative factor affecting the quality of life, efficacy of chemotherapy and so on. In order to identify differentially expressed RNAs in adipose tissue of CAC patients with noncachexia patients, we chose three gastric cancer patients with remarkable weight loss as CAC group and three gastric cancer patients without significant weight change within half a year as the control group. We resected a small subcutaneous adipose tissue from the abdomen of these six patients at time of surgery and completed transcriptome sequencing using Illumina platform. Compared with NCBI genome detabase, etc, we finally identified 386 differentially expressed mRNAs, 410 differentially expressed lncRNAs, 66 differentially expressed cirRNAs and 98 differentially expressed miRNAs. We hoped to provide more bases for follow-up study of adipose metabolism in cachexia.
2021-05-10 | GSE174128 | GEO
Project description:Over 80% of patients with pancreatic ductal adenocarcinoma (PDAC) suffer from cachexia, characterized by severe muscle and fat loss and yet, there are no biomarkers identified for this debilitating condition. Our objective was to identify circulating protein biomarkers using serum for human PDAC cachexia and understand their biological functions. Serum from 30 patients with PDAC was collected and protein profiles were generated using SOMAscan. The protein profiles were correlated with clinical variables such as Cancer associated weight loss (CAWL), body composition measurements of skeletal muscle index (SMI), skeletal muscle density (SMD), total adipose index (TAI) using Spearman’s correlation. Overall, 110 proteins of 1294 correlated with these clinical measures - 47 proteins for CAWL, 19 for SMI, 14 for SMD, and 30 for TAI (r-value 0.5, p<0.05). LYVE1, a homolog of CD44 implicated in tumor metastasis, was the top CAWL-associated protein (r= 0.67, p=0.0001). Protein co-expression network analysis identified immune system related pathways such as B-cell signaling, natural killer cell signaling, IL6 signaling in addition to identifying other known pathways in cachexia. Taken together, these data identify both immune system molecules and additional secreted factors and pathways not previously associated with PDAC and confirm the activation of previously identified pathways.
2020-12-31 | GSE119483 | GEO
Project description:Cancer cachexia (CC) is a poorly understood cause of morbidity and mortality, which has no efficacious treatment or generally-accepted management strategy. The consensus definition for CC identified skeletal muscle loss as a key marker in the diagnosis and classification of cachexia. The importance of fat wasting however, is less understood. During cachexia, different adipose depots demonstrate differential wasting rates. Studies from animal models have suggested adipose tissue may be a key driver of muscle wasting through fat-muscle crosstalk but human studies in this area are lacking. We performed global gene expression profiling of intra-abdominal (IAAT) and subcutaneous (SAT) adipose from weight stable and cachectic cancer patients and healthy controls. Cachexia was defined as >2% weight loss plus low CT-muscularity. Biopsies of SAT and IAAT were taken from patients undergoing resection for oesophago-gastric cancer, and healthy controls (donor nephrectomy) (n=16 and 8 respectively). RNA was isolated and reverse transcribed. cDNA was hybridised to the Affymetrix Clariom S Microarray and data was analysed using R/Bioconductor. Differential expression of genes was assessed using empirical Bayes and moderated-t-statistic approaches. Category enrichment analysis was used with a tissue-specific background to examine the biological context of differentially expressed genes. Selected differentially regulated genes were validated by qPCR. ELISA for Intelectin-1 was performed on IAAT samples for the corresponding patients. The current cohort plus 12 additional patients from each group also had plasma Intelectin-1 ELISA carried out. In IAAT versus SAT comparisons there were 2101, 1722 and 1659 significantly regulated genes in the cachectic, weight stable and control groups respectively. There were 2200 significantly regulated genes from IAAT in cachectic patients compared to controls and 1253 significantly regulated genes from IAAT in weight stable cancer patients compared to controls. The gene showing the largest difference in expression was Intelectin-1 (Omentin-1) (FDR corrected p=0.0001); a novel adipocytokine associated with weight loss in other groups. Genes involving inflammation were enriched in cancer and control IAAT versus SAT though different groups of genes contributed. Energy metabolism and fat browning genesets were downregulated in cancer IAAT as were key fat browning genes (e.g. UCP1). SAT and IAAT have unique gene expression signatures. IAAT is metabolically active in cancer, and maybe a target for therapeutic manipulation. IAAT may play a fundamental role in cachexia, but the downregulation of energy metabolism genes implies a limited role for fat browning in human cachectic patients, in contrast to pre-clinical models.
2020-05-29 | GSE131835 | GEO