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ABSTRACT:
PROVIDER: PRJNA383973 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Medulloblastoma (MB) is an embryonal tumor of the cerebellum and a highly malignant childhood brain tumor. Cell-free circulating tumor DNA (ctDNA) from the cerebrospinal fluid (CSF) of patients with brain tumors faithfully represent genomic alterations of brain tumors. Distinct epigenetic signatures among subgroups of MB allow us to detect epigenetic alterations in CSF to aid classify and guide therapy of MB tumors. Here, we evaluate DNA methylation and hydroxymethylation of ctDNA derived from small amount of CSF (200 µL) and matched tumor DNA from 3 MB patients. We find highly concordance of DNA methylation and hydroxymethylation between CSF ctDNA and tumor DNA, especially in CpG islands. Importantly, CSF ctDNA can mostly recapitulate the dynamic changes of DNA methylation and hydroxymehtylation in tumor species compared to healthy cerebellums. Those MB tumor signature CpGs’ DNA methylation status are recovered in CSF ctDNA can clearly distinguish MB subgroups by utilizing public large cohort data. We further identified potential diagnostic and prognostic DNA methylation markers in CSF ctDNA. Our results show that CSF ctNDA methylation and hydroxymethylation can be a minimal invasive method to assess epigenetic alterations of MB, which is complementary to current diagnoses of MB tumors.
2020-10-28 | GSE142241 | GEO
Project description:Gastric cancer is one of the leading causes of cancer mortality worldwide. We compared transcriptomic profiles of gastric cancer with different ferroptosis-related-scores to identify the prognostic significance of ferroptosis-related-score in gastric cancer.
2021-11-29 | GSE184336 | GEO
Project description:Gastric cancer is one of the leading causes of cancer mortality worldwide. We compared transcriptomic profiles of advanced gastric cancer with different tumour-stroma-scores to identify the prognostic significance of tumour-stroma-score in advanced gastric cancer.
2021-11-29 | GSE179252 | GEO
Project description:Three separate experiments were carried out using MeDIP-seq and cfMeDIP-seq for methylome analysis. For the first experiment, different starting amounts of HCT116 cell line DNA, sheared to mimic cell-free DNA, were analyzed using MeDIP-seq and cfMeDIP-seq. In the second experiment the limit of detection of cfMeDIP-seq was tested using varying dilutions of colorectal cancer cell line DNA (HCT116) with multiple myeloma cell line DNA (MM1.S). For both cell line DNA samples, the DNA was sheared to mimic cell-free DNA. In the final experiment, we tested the enrichment of human ctDNA using cfMeDIP-seq performed on plasma collected from patient-derived xenografts (PDXs) generated in mice from two colorectal cancer patients.
2018-04-01 | GSE79838 | GEO
Project description:The circulating tumor DNA (ctDNA) mutation-based approach shows limited performance in minimal residual disease (MRD) detection, especially for landmark MRD detection at an early-stage cancer after surgery. Here, we describe a cell-free DNA (cfDNA) fragmentomics-based method in MRD detection of resectable non-small cell lung cancer using whole genome sequencing, and the cfDNA-fragmentomics showed a great sensitivity in predicting prognosis.
| EGAS00001007192 | EGA
Project description:Medulloblastoma (MB) is an embryonal tumor of the cerebellum and a highly malignant childhood brain tumor. Cell-free circulating tumor DNA (ctDNA) from the cerebrospinal fluid (CSF) of patients with brain tumors faithfully represent genomic alterations of brain tumors. Distinct epigenetic signatures among subgroups of MB allow us to detect epigenetic alterations in CSF to aid classify and guide therapy of MB tumors. Here, we evaluate DNA methylation of ctDNA derived from small amount of CSF (200 µL) and matched tumor DNA from four subtypes of MB patients. We find highly concordance of DNA methylation between CSF ctDNA and tumor DNA in a subtype manner. Our results show that CSF ctNDA methylation can be a minimal invasive precisely method to assess epigenetic alterations of MB in a subtype manner, which is complementary to current diagnoses of MB tumors.
2023-06-01 | GSE178169 | GEO
Project description:Medulloblastoma (MB) is an embryonal tumor of the cerebellum and a highly malignant childhood brain tumor. Cell-free circulating tumor DNA (ctDNA) from the cerebrospinal fluid (CSF) of patients with brain tumors faithfully represent genomic alterations of brain tumors. Distinct epigenetic signatures among subgroups of MB allow us to detect epigenetic alterations in CSF to aid classify and guide therapy of MB tumors. Here, we evaluate DNA methylation of ctDNA derived from small amount of CSF (200 µL) and matched tumor DNA from four subtypes of MB patients. We find highly concordance of DNA methylation between CSF ctDNA and tumor DNA in a subtype manner. Our results show that CSF ctNDA methylation can be a minimal invasive precisely method to assess epigenetic alterations of MB in a subtype manner, which is complementary to current diagnoses of MB tumors.
2024-06-10 | GSE178666 | GEO
Project description:Neoadjuvant PD-1 blockade may be efficacious in patients with high-risk, resectable oral-cavity, head-and-neck cancer. To explore correlates of response patterns to neoadjuvant nivolumab treatment and post-surgical recurrences, we analyzed longitudinal tumor and blood samples in a cohort of 12 patients displaying 33% responsiveness. Pretreatment tumor-based detection of FLT4 mutations and PTEN signature enrichment favors response, and high tumor mutational burden improves recurrence-free survival. In contrast, preexisting and/or acquired mutations (in CDKN2A, YAP1, JAK2) correlate with innate resistance and/or tumor recurrence. Immunologically, tumor response after therapy entails T-cell receptor repertoire diversification in peripheral blood and intratumoral expansion of preexisting T-cell clones. A high ratio of regulatory to Th17 T cells in pretreatment blood predicts innate resistance, low cytolytic T-cell signature in pretreatment tumor, and low T-cell receptor repertoire diversity in pretreatment blood. Our study provides a molecular framework to advance neoadjuvant anti-PD-1 therapy for patients with resectable head-and-neck cancer.
2021-09-30 | GSE179730 | GEO
Project description:The paper "Metabolomic Machine Learning Predictor for Diagnosis and Prognosis of Gastric Cancer" addresses the need for non-invasive diagnostic tools for gastric cancer (GC). Traditional methods like endoscopy are invasive and expensive. The authors conducted a targeted metabolomics analysis of 702 plasma samples to develop machine learning models for GC diagnosis and prognosis. The diagnostic model, using 10 metabolites, achieved a sensitivity of 0.905, outperforming conventional protein marker-based methods. The prognostic model effectively stratified patients into risk groups, surpassing traditional clinical models.
I have successfully reproduced the diagnosis model from the paper. This machine learning-based system differentiates GC patients from non-GC controls using metabolomics data from plasma samples analyzed by liquid chromatography-mass spectrometry (LC-MS). The model focuses on 10 metabolites, including succinate, uridine, lactate, and serotonin. Employing LASSO regression and a random forest classifier, the model achieved an AUROC of 0.967, with a sensitivity of 0.854 and specificity of 0.926. This model significantly outperforms traditional diagnostic methods and underscores the potential of integrating machine learning with metabolomics for early GC detection and treatment.
2024-07-23 | MODEL2407230001 | BioModels
Project description:The prognosis after curative resection of gastric cancer (GC) remains unsatisfactory, and thus, the development of treatments involving alternative molecular and genetic targets is critical. Circular RNAs (circRNAs), new stars of the non-coding RNA network, have been identified as critical regulators in various cancers. Here, we aimed to determine the circRNA expression profile and investigate the functional and prognostic significance of circRNA in GC. Using next-generation sequencing profiling, we first characterized an abundant circRNA, hsa_circ_0008549, derived from the OSBPL10 gene, and named it circOSBPL10. The expression of circOSBPL10 was found via quantitative real-time RT-PCR (qRT-PCR) to be upregulated in GC tissues, and silencing of circOSBPL10 significantly inhibited gastric cancer cell growth, migration and invasion in multiple experiments. We further confirmed that miR-136-5p is a downstream target of circOSBPL10 using RNA pull-down and luciferase reporter assays. Rescue experiments confirmed that circOSBPL10 regulates biological functions in GC cells via a circOSBPL10-miR-136-5p-WNT2 axis. In vivo experiments showed that circOSBPL10 promotes tumor growth and metastasis in mice. Furthermore, the level of circOSBPL10 was observed to be a prognostic marker of the overall survival and disease-free survival of patients with GC. Taken together, our findings reveal that circOSBPL10 may serve as a new proliferation factor and prognostic marker in gastric cancer.
2018-11-22 | GSE122796 | GEO