Gene expression profiling of colorectal cancer tissue samples
Ontology highlight
ABSTRACT:
ORGANISM(S): Homo sapiens
PROVIDER: GSE178120 | GEO | 2021/07/27
REPOSITORIES: GEO
Similar Datasets
Project description:We have analyzed the gene expression-based consensus molecular subtypes of colorectal cancer. These samples represent a subset of the total series analyzed.
2018-01-02 | GSE96528 | GEO
Project description:We have analyzed transcriptomic intra-tumor heterogeneity among 2-4 multiregional samples from each of 98 primary colorectal cancers. We investigated the level and prognostic value of intra-tumor heterogeniety of the consensus molecular subtypes, and identified subtypes more robust to heterogeneity based on genes with uniform expression levels across tumor regions.
2024-04-04 | GSE241101 | GEO
Project description:We present a novel approach for investigating transcriptomic differences between primary colorectal cancers (CRC) and distant CRC metastases, which may help to identify primaries at high risk for future dissemination and to inform the development of metastasis-targeted therapies. Eliminating tissue specificity of the “host” organs where tumors are located and adjusting for confounders such as exposure to chemotherapy and radiation, allows for an effective comparison of primary CRC and metastatic lesion transcriptomes at both the gene and pathway levels. Using this approach, our discovery-validation design identified that metastases are characterized by reduced epithelial-mesenchymal-transition (EMT) but increased MYC target and DNA repair pathway activities. The most significant gene-level expression differences between primaries and metastases were in FBN2 and MMP3, which showed over a 7-fold difference. In addition, we uncovered two distinct subtypes of CRC metastases that are characterized by either EMT-inflammatory or proliferative phenotypes, and demonstrated that none of the metastases examined were of consensus molecular subtype (CMS) 3 suggesting subtype exclusivity. Highlighting transcriptome differences between primary tumors and CRC metastases delineates pathways that may be activated in metastases and may assist in the development and/or selection of existing targeted treatment regimens for individuals with metastatic disease.
2019-05-18 | GSE131418 | GEO
Project description:Objective: In order to personalise standard therapies based on molecular profiles, we previously classified colorectal cancers (CRCs) into five distinct subtypes (CRCAssigner) and later into four consensus molecular subtypes (CMS) with different prognoses and treatment responses. For clinical application, here we developed a low-cost multiplex biomarker assay. Design: Three cohorts of primary (except one liver metastases) untreated and fresh frozen CRC samples (n=57) profiled by microarray and RNA-Seq were analyzed. A reduced 38-gene panel (CRCAssigner-38) was selected from the 786-gene CRCAssigner signature (CRCAssigner-786) using an in-house class prediction approach. A customised NanoString Technologies’ nCounter platform-based assay (NanoCRCAssigner) was developed for comparison with different classifiers (CMS subtypes), platforms (microarrays and RNA-Seq), and gene sets (CRCAssigner-38 and CRCAssigner-786). Results: NanoCRCAssigner classified samples (n=48; except those showing a mixture of subtypes) into all five CRCAssigner subtypes with overall high concordance across platforms (>87%) and with CMS subtypes (81%) irrespective of variable tumour cellularity. The association of subtypes with their known molecular (microsatellite-instable and stemness), mutational (KRAS/BRAF), and clinical characteristics (including overall survival) further demonstrated assay validity. To reduce costs, we switched from standard protocol to a low-cost protocol with a high Pearson correlation co-efficient (0.9) between protocols. Technical replicates were highly correlated (0.98).
2019-03-04 | GSE101472 | GEO
Project description:Objective: In order to personalise standard therapies based on molecular profiles, we previously classified colorectal cancers (CRCs) into five distinct subtypes (CRCAssigner) and later into four consensus molecular subtypes (CMS) with different prognoses and treatment responses. For clinical application, here we developed a low-cost multiplex biomarker assay. Design: Three cohorts of primary (except one liver metastases) untreated and fresh frozen CRC samples (n=57) profiled by microarray and RNA-Seq were analyzed. A reduced 38-gene panel (CRCAssigner-38) was selected from the 786-gene CRCAssigner signature (CRCAssigner-786) using an in-house class prediction approach. A customised NanoString Technologies’ nCounter platform-based assay (NanoCRCAssigner) was developed for comparison with different classifiers (CMS subtypes), platforms (microarrays and RNA-Seq), and gene sets (CRCAssigner-38 and CRCAssigner-786). Results: NanoCRCAssigner classified samples (n=48; except those showing a mixture of subtypes) into all five CRCAssigner subtypes with overall high concordance across platforms (>87%) and with CMS subtypes (81%) irrespective of variable tumour cellularity. The association of subtypes with their known molecular (microsatellite-instable and stemness), mutational (KRAS/BRAF), and clinical characteristics (including overall survival) further demonstrated assay validity. To reduce costs, we switched from standard protocol to a low-cost protocol with a high Pearson correlation co-efficient (0.9) between protocols. Technical replicates were highly correlated (0.98).
2019-03-04 | GSE101588 | GEO
Project description:Comparison of genomic alterations of primary colorectal cancers with liver metastases of the same patient Keywords: array CGH, colorectal cancer, colon cancer, liver metastasis 21 primary colorectal cancers and 21 matched liver metastases hybridized against sex-matched control pools
2010-07-07 | E-GEOD-10179 | biostudies-arrayexpress
Project description:Matrisome-focused integrative omics analysis reveals stromal phenotypes associated with consensus molecular subtypes in colorectal cancer
This reseaerch is conducted using colorectal cancer.
TMT 11plex experiment
2022-10-27 | MSV000090604 | MassIVE
Project description:Objective: In order to personalize standard therapies based on molecular profiles, we previously classified colorectal cancers (CRCs) into five distinct subtypes (CRCAssigner) and later into four consensus molecular subtypes (CMS) with different prognoses and treatment responses. For clinical application, here we developed an inexpensive multiplex biomarker-based assay.Objective: In order to personalise standard therapies based on molecular profiles, we previously classified colorectal cancers (CRCs) into five distinct subtypes (CRCAssigner) and later into four consensus molecular subtypes (CMS) with different prognoses and treatment responses. For clinical application, here we developed a low-cost multiplex biomarker assay. Design: Three cohorts of untreated fresh frozen CRC samples (n = 57) predominantly from primary tumours and profiled by microarray/RNA-Seq were analysed. A reduced 38-gene panel (CRCAssigner-38) was selected from the published 786-gene CRCAssigner signature (CRCAssigner-786) using an in-house gene selection approach. A customised NanoString Technologies nCounter platform-based assay (NanoCRCAssigner) was developed for comparison with different classifiers (CMS subtypes), platforms (microarrays and RNA-Seq), and gene sets (CRCAssigner-38 and CRCAssigner-786). An additional cohort of fresh-frozen paraffin embedded (FFPE) samples (n = 24) was subtyped using NanoCRCAssigner as a proof-of-concept. Results: NanoCRCAssigner classified fresh frozen samples (n = 48; except those showing a mixture of subtypes) into all five CRCAssigner subtypes with overall high concordance across platforms (>87%) and with CMS subtypes (81%) irrespective of variable tumour cellularity. The association of subtypes with their known molecular (microsatellite-instable and stemness), mutational (KRAS/BRAF), and clinical characteristics (including overall survival) further demonstrated assay validity. To reduce costs, we switched from the standard protocol to a low-cost protocol with a high Pearson correlation co-efficient (0.9) between protocols. Technical replicates were highly correlated (0.98). FFPE samples were also successfully classified and showed high reproducibility (0.96).
2019-03-04 | GSE101481 | GEO
Project description:Characterizing transcriptomic differences between between primary colorectal adenocarcinomas and distant metastases reveals subtypes of metastatic colorectal cancer
| PRJNA543504 | ENA
Project description:Recently a consensus molecular subtype (CMS) classification of colorectal cancer (CRC) has been established that is based on the transcriptional rather than the genetic profile of an individual tumor and which may ultimately help to individualize CRC therapy. So far, however, the lack of appropriate animal models that faithfully recapitulate the different molecular subtypes impedes adequate preclinical testing of stratified therapeutic concepts. Here we demonstrate that constitutive AKT activation in intestinal epithelial cells markedly enhances colonic tumor invasion and metastasis in Trp53DIEC mice (Trp53ΔIECAktE17K) upon challenge with the carcinogen azoxymethane (AOM). Gene-expression profiling indicates that Trp53ΔIECAktE17K tumors closely resemble the human mesenchymal colorectal cancer subtype (CMS4), which is characterized by the poorest survival rate among the four consensus molecular subtypes of CRC. Trp53ΔIECAktE17K tumors are further characterized by a NOTCH pathway gene signature and a distinct cell autonomous upregulation of Notch3 in tumor epithelia while treatment of Trp53ΔIECAktE17K mice with a NOTCH3-inhibiting antibody reduces invasion and metastasis. Conversely, selective activation of NOTCH3 by overexpression of NOTCH3-IC in Akt wt tumor organoids strongly promotes development of metastasis in an orthotopic transplantation model. In CRC patients NOTCH3 expression correlates positively with tumor grading and the presence of lymph node as well as distant metastases and is specifically upregulated in CMS4 tumors. Therefore, we suggest NOTCH3 as a putative target for advanced CMS4 CRC patients.
2021-09-08 | PXD014778 | Pride