Search for a novel diagnostic marker for liver cancer.
Ontology highlight
ABSTRACT:
PROVIDER: PRJNA481878 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Search for a novel diagnostic marker for liver cancer.
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Project description:Analysis of the gene expression profiles of tumor and normal tissue samples from Hepatocellular carcinoma (HCC). Find potential secretory protein to serve as diagnostic marker for liver cancer.
2019-04-02 | GSE117361 | GEO
Project description:Analysis of the circular RNA expression profiles of tumor and normal tissue samples from Hepatocellular carcinoma (HCC).Find potential circular RNA to serve as diagnostic marker for liver cancer.
2020-10-09 | GSE159220 | GEO
Project description:The extensive heterogeneity both between and within the medulloblastoma (MB) subgroups underscores a critical need for variant-specific biomarkers and therapeutic strategies. We previously identified a role for the CD271/p75 neurotrophin receptor (p75NTR) in regulating stem/progenitor cells in the SHH MB subgroup. Here, we demonstrate the utility of CD271 as a novel diagnostic and prognostic marker for SHH MB using immunohistochemical analysis as well as transcriptome data across 763 primary tumors. Characterization of CD271+ and CD271- cells by RNA sequencing revealed that these two subpopulations are molecularly distinct, co-existing cellular subsets both in vitro and in vivo. MAPK/ERK signaling is upregulated in the CD271+ population and inhibiting this pathway reduced CD271 levels, stem/progenitor cell proliferation and cell survival as well as cell migration in vitro. Importantly, the MEK inhibitor selumetinib extends survival and reduces CD271 levels in vivo. Our study demonstrates the clinical utility of CD271 as both a diagnostic and prognostic tool for SHH MB tumors and reveals a novel role for MEK inhibitors in targeting CD271+ SHH MB cells.
2019-12-31 | GSE107701 | GEO
Project description:CD271/p75NTR is a novel diagnostic marker, prognostic indicator and therapeutic target in SHH medulloblastoma
| PRJNA421151 | ENA
Project description:Dr. Kate Olson's Lab is interested to expand these analysis to comparisons between human normal lung tissue and human lung tumor tissue. In hopes that this will help in finding a diagnostic marker for lung cancer. Since there will be more variability between these samples, we would like to get preliminary data on ten normal lung tissue and ten lung tumor tissues from the same patient.
2011-06-14 | GSE29927 | GEO
Project description:Dr. Kate Olson's Lab is interested to expand these analysis to comparisons between human normal lung tissue and human lung tumor tissue. In hopes that this will help in finding a diagnostic marker for lung cancer. Since there will be more variability between these samples, we would like to get preliminary data on ten normal lung tissue and ten lung tumor tissues from the same patient. We have already analyzed 4 cell lines and we saw gene expression variability related to how metastatic the cell lines were. This has been written and submitted for publication. We would like to expand these analysis to comparisons between human normal lung tissue and human lung tumor tissue. We hope that this will help in finding a diagnostic marker for lung cancer. Since there will be more variability between these samples, we would like to get preliminary data on ten normal lung tissue and ten lung tumor tissues from the same patient. The samples were dissected by a pathologist prior to extraction to maximize the amount of normal tissue included in the tumor samples. RNA samples from non tumor and tumor lung cancer patients were received by Core E. The RNA was amplified, labeled, and hybridized to the GLYCOv3 microarrays.
2011-06-14 | E-GEOD-29927 | biostudies-arrayexpress
Project description:MiR-146a-5p and miR-191-5p as novel diagnostic marker candidates for ovarian clear cell carcinoma
| PRJNA1000564 | ENA
Project description:In cancer management, early and accurate diagnosis of hepatocellular carcinoma (HCC) is important for enhancing survival rate of patients. Currently, serum alpha-fetoprotein (AFP) is the only one biomarker for detection of HCC. However, serum AFP is not satisfactory for diagnosis of HCC due to its low accuracy (about 60-70%). In this study, we collected 109 serum samples (discovery set) from healthy control (HC) and patients with chronic hepatitis B (CHB), liver cirrhosis (LC) and HCC, and analyzed them with custom lncRNA microarray. Profiling analysis shows 181 differentially expressed lncRNAs between HCs and patients with CHB, LC and HCC. Then a 48-lncRNA diagnostic signature was identified with 100% predictive accuracy for all subjects in the discovery set. This diagnostic signature was verified with a cross-validation analysis in the discovery set. To further corroborate the signature, we gathered another 66 serum samples (validation set) and also analyzed them with microarray. The result indicates that the same signature has similar diagnostic accuracy for HC (100%), CHB (73%), LC (88%) and HCC (95%), implying a reproducible diagnostic biomarker for HCC. Receiver operating characteristic (ROC) analysis exhibits that this signature has significantly higher diagnostic accuracy for HCC and non-cancerous subjects (area under curve [AUC]: 0.994) than AFP (AUC: 0.773) in the discovery set and this was also verified in the validation set (0.964 vs 0.792). More importantly, the signature detected small HCC (<3cm) with 100% (13/13) accuracy while AFP with only 61.5% (8/13). Altogether, this study demonstrates that the serum 48-lncRNA signature is not only a powerful and sensitive biomarker for diagnosis of HCC but also a potential biomarker for LC. ***************************************************************** Submitter declares these data are subject to patent number ZL 2016 1 0397094. *****************************************************************
2022-10-15 | GSE78160 | GEO
Project description:Ovarian cancer is a malignant gynecologic disease rarely diagnosed in the early stages. Among ovarian cancers, clear cell carcinoma has a poor prognosis due to its malignant potential. MicroRNAs (miRNAs) regulate gene expression in cells by suppressing the translation of the target gene or by degrading the target mRNA. They are also secreted from the cells in the blood, binding to the proteins or lipids and assisting in cell-cell communication. Hence, serum miRNAs can also be diagnostic biomarkers for ovarian cancer. This study investigated and identified specific miRNAs for ovarian clear cell carcinoma and compared them to those of ovarian endometrioma in healthy patients. CA125, an ovarian tumor marker, did not differ between patients with ovarian clear cell carcinoma, endometriosis, or healthy controls. Four miRNAs (miR-146a-5p, miR-191-5p, miR-484, and miR-574-3p) were analyzed. The miR-146a-5p and miR-191-5p expression levels were significantly increased in the serum samples from the patients with ovarian clear cell carcinoma compared to the healthy controls but not in the patients with endometriosis (P < 0.05). Furthermore, the bioinformatics analysis showed that CCND2 and NOTCH2 were the candidate target genes of miR 146a-5p and miR-191-5p. In conclusion, our results showed that miR 146a-5p and miR-191-5p might be useful as early and non-invasive diagnostic tools in ovarian clear cell carcinoma. These miRNAs can help in distinguishing between ovarian clear cell carcinoma and ovarian endometrioma. To the best of our knowledge, no studies have screened any candidates specifically for clear cell carcinoma.
2023-10-06 | GSE239685 | GEO