Homo sapiens
Ontology highlight
ABSTRACT:
OTHER RELATED OMICS DATASETS IN: PXD013455MSV000080374
PROVIDER: PRJNA356065 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Colorectal cancer (CRC) is the third most common cancer worldwide and liver metastasis remains the major cause of death in CRC. Extensive genomic analysis provided valuable insight into the pathogenesis and progression of CRC. However, the major proteogenomic characterization of CRC liver metastasis is still unknown. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human colorectal cancer liver metastasis.
2019-12-27 | GSE93286 | GEO
Project description:Solid tumors are complex organs comprising neoplastic cells and stroma, yet cancer cell lines remain widely used to study tumor biology, biomarkers and experimental therapy. Here, we performed a fully integrative analysis of global proteomic data comparing human colorectal cancer (CRC) cell lines to primary tumors and normal tissues. We found a significant, systematic difference between cell line and tumor proteomes, with a major contribution from tumor stroma proteomes. Nevertheless, cell lines overall mirrored the proteomic differences observed between tumors and normal tissues, in particular for genetic information processing and metabolic pathways, indicating that cell lines provide a system for the study of the intrinsic molecular programs in cancer cells. Intersection of cell line data with tumor data provided insights into tumor cell specific proteome alterations driven by genomic alterations. Our integration of cell line proteogenomic data with drug sensitivity data highlights the potential of proteomic data in predicting therapeutic response. We identified representative cell lines for the proteomic subtypes of primary tumors, and linked these to drug sensitivity data to identify subtype-specific drug candidates.
2016-12-01 | MSV000080374 | MassIVE
Project description:Integrative analysis of global RNASeq and proteomic data comparing human colorectal cancer (CRC) cell lines to primary tumors and normal tissues.
2018-01-12 | GSE90830 | GEO
Project description:Proteogenomic characterization and comprehensive integrative genomic analysis of human colorectal cancer liver metastasis
| PRJNA360468 | ENA
Project description:Current clinical therapy of non-small cell lung cancer depends on histo-pathological classification. This approach poorly predicts clinical outcome for individual patients. Proteogenomic characterization analysis holds promise to improve clinical stratification, thus paving the way for individualized therapy. We investigated proteogenomic characterization and performed comprehensive integrative genomic analysis of human large cell lung cancer. Here we analyzed proteomes of 29 paired normal lung tissues and large cell lung cancer, identified significantly deregulated proteins associated with large cell lung cancer.
2019-01-16 | PXD012393 | iProX
Project description:RNAseq of primary colorectal cancer cell lines.
| PRJNA680585 | ENA
Project description:Colorectal cancer (CRC) is one of the most prevalent tumors, with a high mortality rate. Nearly half of CRC patients develop metastasis, which accounts for as many as 90% of CRC-related deaths. In the metastasis process, cancer cells exhibit altered dependency on specific metabolic pathways and some of the metabolites discovered might be useful as potential diagnostic biomarkers. To identify metabolic pathway dependencies in CRC metastasis, mass spectrometry-based untargeted metabolomic analysis was performed in two pairs of CRC cell lines with different metastatic abilities. Each pair of cell lines was comprised of primary and metastatic colorectal cancer cell lines (SW480 vs. SW620; HT-29 vs. COLO 205). Relative levels of intracellular metabolites distinguished high-metastatic CRC cells from low-metastatic CRC cells.
2022-10-06 | ST002341 | MetabolomicsWorkbench
Project description:The genomic VCF data of the Integrative proteogenomic characterization of early esophageal cancer project ,this dataset contains 90 VCF files.
| EGAD00001008672 | EGA
Project description:Colorectal cancer is the second leading cause of cancer death worldwide, and the incidence of this disease is expected to increase as global socioeconomic changes occur. Immune checkpoint inhibition therapy is effective in treating a minority of colorectal cancer tumors; however, microsatellite stable tumors do not respond well to this treatment. Emerging cancer immunotherapeutic strategies aim to activate a cytotoxic T cell response against tumor-specific antigens, presented exclusively at the cell surface of cancer cells. These antigens are rare and are most effectively identified with a mass spectrometry-based approach, which allows the direct sampling and sequencing of these peptides. While the few tumor-specific antigens identified to date derived from coding regions of the genome, recent findings indicate that a large proportion of tumor-specific antigens originate from allegedly noncoding regions. Here, we employed a novel proteogenomic approach to identify tumor antigens in a collection of colorectal cancer-derived cell lines and biopsy samples consisting of matched tumor and normal adjacent tissue. The generation of personalized cancer databases paired with mass spectrometry analyses permitted the identification of more than 30 000 unique MHC I-associated peptides. We identified 19 putative tumor-specific antigens in both microsatellite stable and unstable tumors, over two-thirds of which were derived from non-coding regions. Many of these peptides were derived from source genes known to be involved in colorectal cancer progression, suggesting that antigens from these genes could have therapeutic potential in a wide range of tumors. These findings could benefit the development of T cell-based vaccines, in which T cells are primed against these antigens to target and eradicate tumors. Such a vaccine could be used in tandem with existing immune checkpoint inhibition therapies, to bridge the gap in treatment efficacy across subtypes of colorectal cancer with varying prognoses.
2022-04-13 | PXD028309 | Pride
Project description:The objective of this study was to gain insights into the biological basis of colon cancer progression by characterizing gene expression differences between normal colon epithelium, corresponding colorectal primary tumors and metastases. We found a close similarity in gene expression patterns between primary tumors and metastases, indicating a correlation between gene expression and morphological characteristics. PRDX4 was identified as highly expressed both in primary colon tumors and metastases, and selected for further characterization. Our study revealed that Prdx4 (PrxIV, AOE372) shows functional similarities to other Prx family members by negatively effecting apoptosis induction in tumor cells. In addition, our studies link Prdx4 with Hif-1M-NM-1, a key regulatory factor of angiogenesis. Targeting Prdx4 may be an attractive approach in cancer therapy, as its inhibition is expected to lead to induction of apoptosis and blockade of Hif-1M-NM-1-mediated tumor angiogenesis. mRNA expression profiling of normal colon epithelium (5), primary colon tumors (12 with 1 replicate) and either lymph node metastases (9 with 2 replicates) or liver metastases (2) and cell lines (4) from twelve colon cancer patients.
2011-06-01 | E-GEOD-26571 | biostudies-arrayexpress