Project description:Transcription profiling by array of human colorectal cancer epithelial (HCT116) p53 null cells treated with SN38 for 6, 12 and 24h

2025-01-22 | E-MEXP-1194 | ExpressionAtlas

E-GEOD-32526

Project description:Expression data from breast cancer tumor-initiating cells

2025-01-24 | E-GEOD-32526 | ExpressionAtlas

Detection of metastasis-specific miRNA for metastatic lesion of colorectal cancer

Project description:We carried out comprehensive analysis for the miRNA profiling of primary tumor and metastatic lesion which seems to be source of circulating miRNA. We picked up two patients who treated with primary tumor resection initially and received chemotherapy followed by surgical resection of liver metastasis. The total miRNA was isolated from frozen tissue specimens. SurePrint G3 Human miRNA microarray kit Rel.21.0 (Agilent Technologies) contains 2549 human microRNA probes. As previously reported, hsa-miR200c revealed specifically high expression in metastatic sites at both two cases. In two colorectal cancer patients, the frozen primary tumor, normal mucosa and liver-metastatic lesion were analyzed by microRNA microarray.

2015-09-19 | E-GEOD-73178 | biostudies-arrayexpress

Single-cell metabolic fingerprints discover a cluster of circulating tumor cells with distinct metastatic potential

Project description:Circulating tumor cells (CTCs) are recognized as direct seeds of metastasis. However, CTC count may not be the 'best' indicator of metastatic risk because their heterogeneity is generally neglected. In this study, we develop a molecular typing system to predict colorectal cancer metastasis potential based on the metabolic fingerprints of single CTCs. After identification of the metabolites potentially related to metastasis using mass spectrometry-based untargeted metabolomics, setup of a home-built single-cell quantitative mass spectrometric platform for target metabolite analysis in individual CTCs and use of a machine learning method composed of non-negative matrix factorization and logistic regression, CTCs are divided into two subgroups, C1 and C2, based on a 4-metabolite fingerprint. Both in vitro and in vivo experiments demonstrate that CTC count in C2 subgroup is closely associated with metastasis incidence. This is an interesting report on the presence of a specific population of CTCs with distinct metastatic potential at the single-cell metabolite level.

2023-08-21 | MTBLS5028 | MetaboLights

E-PROT-138

Project description:Molecular characterization of colorectal adenomas reveals POFUT1 as a candidate driver of tumor progression

2024-06-05 | E-PROT-138 | ExpressionAtlas

E-GEOD-3325

Project description:Transcription profiling by array of human benign prostate, primary and metastatic prostate cancer samples to reveal signatures of metastatic progression

2025-01-24 | E-GEOD-3325 | ExpressionAtlas

E-PROT-104

Project description:Proteome Landscapes of the Human Colorectal Mucosa, and its Adenoma and Cancer

2023-06-21 | E-PROT-104 | ExpressionAtlas