Identification of Recurrence-Related microRNAs in the Bone Marrow of Breast Cancer Patients
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
SUBMITTER: Yokobori Takehiko
PROVIDER: S-ECPF-GEOD-17646 | biostudies-other |
REPOSITORIES: biostudies-other
Similar Datasets
Project description:MicroRNA microarray analysis was performed to compare microRNA levels in bone marrow from 4 breast cancer patients with recurrent disease and 4 patients without recurrence.
2010-04-01 | GSE17646 | GEO
Project description:MicroRNA microarray analysis was performed to compare microRNA levels in bone marrow from 4 breast cancer patients with recurrent disease and 4 patients without recurrence. To achieve this goal, we used microRNA microarray analysis to compare microRNA expression in bone marrow from breast cancer patients with and without disease recurrence.
2010-04-01 | E-GEOD-17646 | biostudies-arrayexpress
Project description:Hepatocellular carcinoma (HCC) is a poor-prognosis cancer due to its high rate of recurrence. microRNAs (miRNAs) are a class of small non-coding RNA molecules that affect crucial processes in cancer development. The objective of this study is to identify the role of miRNAs in patient bone marrow (BM) and explore the function of these molecules during HCC progression. We purified miRNAs from bone marrow cells of seven HCC patients, and divided them into three fractions by cell surface markers as follows: CD14(+) (macrophage), CD14(-)/CD45(+) (lymphocyte), and CD14(-)/CD45(-)/EpCAM(+) (epithelial cell). We employed microarray-based profiling to analyze miRNA expression in the bone marrow of patients with HCC. Differentially expressed miRNAs were significantly different between fractions from whole bone marrow, macrophages, and lymphocytes, and depended on stages in tumor progression. Differences in expression of miRNAs associated with cell proliferation also varied significantly between HCC patients with recurrence, multiple tumors, and advanced clinical stages. These results suggest that miRNA profiles in separated fractions of BM cells are associated with HCC progression.
| S-EPMC4555079 | biostudies-literature
Project description:To identify the role of miRNAs in patient bone marrow (BM) and explore the function of these molecules during HCC progression, we employed microarray-based profiling to analyze miRNA expression in the BM of patients with HCC.
2015-08-06 | GSE71762 | GEO
Project description:To identify the role of miRNAs in patient bone marrow (BM) and explore the function of these molecules during HCC progression, we employed microarray-based profiling to analyze miRNA expression in the BM of patients with HCC. MicroRNA expression in the BW of HCC patients was measured by using microarray-based profiling. BM cells were separated into 3fraction by cell surface markers as follows: CD45+(macrophage), CD14-/CD45+(lymphocyte) and CD14-/CD45-/EpCAM+(epithelial cell).
2015-08-06 | E-GEOD-71762 | biostudies-arrayexpress
Project description:This study aimed to identify specific microRNAs (miRNAs) related to postmenopausal osteoporosis (OP) in human. A total of 67 conserved miRNAs, including 50 miRNAs significantly up-regulated and 17 miRNAs significantly downregulated, showed differential expression between OP group and control group. 180 hairpin structures were predicted and 199 potential novel miRNA candidates with 18 to 25 nt in length, which will greatly enrich the human miRBase. 4 miRNAs (miR-518b, miR-582-3p, miR-148a-3p and miRNA-223-3p) had upregulated expression and 4 (miR-7d-5p, miR-210-3p, miR-324-5p and miR-654-3p) showed down-regulated expression. Target genes of these miRNAs were involved in bone development, cell proliferation in bone marrow, osteoblast development, negative regulation of osteoblast differentiation, and negative regulation of osteoclast development, as well as several osteogenesis related pathways. Canonical Wnt signaling pathway was selected for verification and function analysis. The expression of Wnt1, FZD10, LRP5, DVL2 and LEF1 was down-regulated significantly, while that of SFRP1, DKK1, and CHD8 was up-regulated markedly. In conclusion, these genes play important roles in OP, which improves our understanding of pathogenesis of OP.
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Project description:In addition to their roles in different biological processes, microRNAs in the tumor microenvironment appear to be potential diagnostic and prognostic biomarkers for various malignant diseases, including acute myeloid leukemia (AML). To date, no screening of circulating miRNAs has been carried out in the bone marrow compartment of AML. Accordingly, we investigated the circulating miRNA profile in AML bone marrow at diagnosis (AMLD) and first complete remission post treatment (AMLPT) in comparison to healthy donors (HD). Circulating miRNAs were isolated from AML bone marrow aspirations, and a low-density TaqMan miRNA array was performed to identify deregulated miRNAs followed by quantitative RT-PCR to validate the results. Bioinformatic analysis was conducted to evaluate the diagnostic and prognostic accuracy of the highly and significantly identified deregulated miRNA(s) as potential candidate biomarker(s). We found several deregulated miRNAs between the AMLD vs. HD vs. AMLPT groups, which were involved in tumor progression and immune suppression pathways. We also identified significant diagnostic and prognostic signatures with the ability to predict AML patient treatment response. This study provides a possible role of enriched circulating bone marrow miRNAs in the initiation and progression of AML and highlights new markers for prognosis and treatment monitoring.
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Project description:Tumor recurrence-related microRNAs (miRNAs) in hepatocellular carcinoma (HCC) following orthotopic liver transplantation (OLT) are not clear yet. This study was designed to determine whether altered miRNA expression is associated with HCC recurrence and prognosis following OLT. 18 miRNAs, including 6 up-regulated and 12 down-regulated miRNAs were identified by microarray in primary HCC samples of patients who had developed HCC recurrence (n = 5) compared to those with non-recurrence (n = 5) following OLT by using p < 0.05 as cutoff value. The six most significantly altered miRNAs (fold change ≥ 2: miR-19a, miR-886-5p, miR-126, miR-223, miR-24 and miR-147) were further confirmed by qRT-PCR in the remaining 105 HCC samples. In receiver-operating characteristic curve analysis, this six miRNAs were of high sensitivity and specificity in predicting HCC recurrence. Using Cox regression and risk score analysis, we built a six-miRNA signature based on their qRT-PCR readings for the prediction of outcome of HCC following OLT. Kaplan-Meier and Cox proportional regression revealed this six-miRNA signature was a significant independent predictor of overall survival (log-rank p = 0.020) and recurrence-free survival (log-rank p < 0.001). Finally, the data were further reconfirmed in an independent cohort of 50 patients from another transplant center. In addition, bioinformatics Gene Ontology and pathway analysis were also performed to better understand the critical roles of these miRNAs in HCC recurrence. Our study, in addition to suggesting a different miRNA expression pattern between HCC samples of patients with recurrence and those with non-recurrence, proposes that this six-miRNA signature may serve as biomarker for prognosis of HCC patients following OLT.
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Project description:Experimental studies suggest that bone fractures result in the release of cytokines and cells that might promote metastasis. Obtaining observational data on bone fractures after breast cancer diagnoses related to distant breast cancer recurrence could help to provide first epidemiological evidence for a metastasis-promoting effect of bone fractures. We used data from the largest German statutory health insurance fund (Techniker Krankenkasse, Hamburg, Germany) in a population-based cohort study of breast cancer patients with ICD-10 C50 codes documented between January 2015 and November 2019. The risk of metastasis overall, regional, distant non-bone or bone metastasis related to a fracture was modeled by an adjusted discrete time-to-event analysis with time-dependent exposure. Of 154,000 breast cancer patients, 84,300 fulfilled the inclusion criteria and had a follow-up time of more than half a year. During follow-up, fractures were diagnosed in 13,579 (16.1%) patients. Metastases occurred in 7047 (8.4%) patients; thereof 1544 had affected regional lymph nodes only and 5503 distant metastases. Fractures demonstrated a statistically significant association with subsequent metastasis overall (adjusted HR 1.12, 95% CI 1.04, 1.20). The highest risk for metastasis was observed in patients with subsequent bone metastasis (adjusted HR 1.18, 95% CI 1.05, 1.34), followed by distant non-bone metastasis (adjusted HR 1.16, 95% CI 1.07, 1.26) and lymph node metastasis (adjusted HR 1.08, 95% CI 0.97, 1.21).
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Project description:Expression profiles of primary breast tumors were investigated in relation to disseminated tumor cells (DTCs) in bone marrow (BM) in order to increase our understanding of the dissemination process. Tumors were classified into five pre-defined molecular subtypes, and presence of DTC identified (at median 85 months follow-up) a subgroup of luminal A patients with particular poor outcome (p=0.008). This was not apparent for other tumor subtypes. Gene expression profiles associated with DTC and with systemic relapse for luminal A patients were identified. This study suggests that DTC in BM differentially distinguishes clinical outcome in patients with luminal A type tumors and that DTC-associated gene expression analysis may identify genes of potential importance in tumor dissemination.
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