Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA351932 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:A ""Cartes d'Identite des Tumeurs"" (CIT) project from the french Ligue Nationale Contre le Cancer (http://cit.ligue-cancer.net). 65 samples on Affymetrix HG-U133A GeneChips arrays (57 tumoral samples, 3 hepatocellular adenomas, 5 non-tumoral pools). Identification of six subgroups of Hepatocellular carcinoma (HCC) closely associated with clinical and genetic annotations (esp. risk factors and genetic alterations). Identification of a 16-gene diagnostic predictor of class membership, as well as a 5-gene signature predicting patient prognosis irrespective of HCC sub-group and which outperforms common clinical prognostic markers. Validation of both gene signatures in an independent set of 63 HCC.
2007-03-26 | E-TABM-36 | biostudies-arrayexpress
Project description:Considering that these potential diagnostic and prognostic targets may be regulated by events that do not imply variation in protein abundance levels, we investigated the hypothesis that changes in protein conformation can be associated with diagnosis and prognosis, revealing biological processes and novel targets of clinical relevance. For this, we employed LiP-MS in saliva samples to explore structural alterations comparing the proteome of healthy control and squamous cell carcinoma (OSCC) patients, with and without lymph node metastasis (N0 and N+, respectively). Our LiP strategy revealed 311 proteins with structural rearrangements when comparing among control and OSCC patients and 15 unique enriched biological processes, in contrast to 66 and 11 processes enriched in traditional proteomics workflow, mostly associated with immunity events. Moreover, 51 proteins with potential structural rearrangements were associated with clinical patient features, indicating conformotypic peptides associated with lymph node metastasis.
2025-03-11 | PXD042574 | Pride
Project description:Identifying lincRNA as prognostic biomarker for clear cell renal cell carcinoma
| PRJNA289133 | ENA
Project description:Epigenetic deregulation is a critical event in human malignancies. A number of DNA methylation markers are currently under evaluation as diagnostic and prognostic biomarkers for many cancers. However, its potential role in hepatocellular carcinoma (HCC) is under-explored. Aims: To develop a DNA methylation-based prognostic signature in surgically resected HCC
2015-02-13 | GSE56588 | GEO
Project description:Identifying a novel candidate diagnostic and prognostic biomarker SPRR3 for oral squamous cell carcinoma via mRNA Sequencing and Bioinformatics
| PRJNA590628 | ENA
Project description:Saliva is rich in proteins, DNA, RNA and microorganisms, and can be regarded as a biomarker library. In order to explore a noninvasive and simple means of early screening for liver cancer, proteomics was used to screen salivary markers of hepatitis B associated liver cancer. We used mass spectrometry coupled isobaric tags for relative and absolute quantitation (iTRAQ)-technology to identify differentially expressed proteins (DEPs). Western blot, immunohistochemistry and enzyme linked immunosorbent assay were used to detect marker expression of in tissues and saliva. Statistical analysis was used to analyze the diagnostic efficacy of the markers was analyzed through statistical analyses. By comparing the hepatocellular carcinoma (HCC) group with non-HCC groups, we screened out 152 salivary DEPs. We found orosomucoid 1(ORM1) had significantly higher expression in saliva of HCC patients compared with non-HCC groups (p<0.001) and the expression of ORM1 in liver cancer tissues was significantly higher than that in adjacent normal tissues(p<0.001). The combination of salivary ORM1 and alpha-fetoprotein (AFP) showed reasonable specificities and sensitivities for detecting HCC. In a word, salivary ORM1 as a new biomarker of hepatitis B associated hepatocellular carcinoma, combination of salivary ORM1 and AFP as an improved diagnostic tool for hepatocellular carcinoma.
2022-07-13 | PXD033752 | Pride
Project description:Long noncoding RNA (lncRNA) in plasma exosomes is a potential non-invasive diagnostic biomarker for diabetic retinopathy (DR). However, the changes in plasma exosomal lncRNAs and diagnostic relevance in patients with DR patients remain unclear. A case–control study with type 2 diabetes mellitus (T2DM) and patients with comorbid DR were enrolled, and their clinical information and blood samples were collected.
2022-09-06 | GSE212594 | GEO
Project description:Hepatocellular carcinoma (HCC) is currently the third leading cause of death worldwide and the most common type of primary liver cancer, finding noninvasive biomarkers for HCC diagnostic and prognostic are very urging. Previous genomic studies mainly focus on finding miRNA biomarkers for HCC. In this study, we focus on finding circRNA fragments suitable for serving as hcc biomarkers with plasma exosomal RNA-seq..
2021-12-01 | GSE164953 | GEO
Project description:Circular RNAs, a novel class of noncoding RNAs, have recently drawn lots of attention in the pathogenesis of human cancers. However, the role of circRNAs in esophageal squamous cell carcinoma remains unclear. In this study, we aimed to identify novel circRNAs that regulate ESCC progression and explored their regulatory mechanisms and clinical significance in ESCC. We found that CircGSK3beta exerts critical roles in promoting ESCC metastasis and may serve as an exploitable therapeutic target for patients with ESCC. The plasma level of circGSK3beta have promising potential to serve as a novel diagnostic and prognostic biomarker for ESCC detection.
2019-11-25 | GSE131969 | GEO
Project description:Background: The presence of vascular invasion (VI) in pathology specimens has been widely described as closely linked to poor outcome in hepatocellular carcinoma (HCC) patients after tumor resection. Previous attempts have been conducted to achieve molecular markers or signatures to predict HCC recurrence in HCC. Here, we aim to develop a diagnostic model combining clinical and genomic variables able to detect the presence of VI prior to surgery and link it to survival estimation. Methods: Seventy-nine HCV related HCC samples from patients that underwent surgical resection as a treatment for HCC were subjected to Genome-wide gene expression profiling and a predictive model of vascular invasion was constructed. The model was tested in an independent-validation set of 153 fixed tissue samples of resected HCC. Quantitative RTPCR and inmunohistochemistry were performed in HCC samples to test a potential biomarker. Results: A 39-gene signature was able to accurately (72%) identify vascular invasion in HCC patients treated with resection. A model including tumor size and the signature is able to predict presence of VI with 85% accuracy in HCV-related HCC patients, and is able to exclude VI in up to 87% cases in HCC from all etiologies. Conclusions: Using the VI gene signature together with tumor size, VI can be successfully detected in HCC patients. The diagnostic model, integrated in a previously reported survival chart is able to provide an estimated survival for selected cases. Clinical implications of this fact are relevant to provide objective data to further apply expanded indication of curative treatments in HCC. Gene-expression profiling was performed using formalin-fixed, paraffin-embedded hepatocellular carcinoma tissues obtained at the time of surgical resection.
2011-07-30 | E-GEOD-20017 | biostudies-arrayexpress