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A consensus molecular subtypes classification strategy for clinical colorectal cancer tissues

ABSTRACT: A consensus molecular subtypes classification strategy for clinical colorectal cancer tissues

PROVIDER: PRJNA1109343 | ENA |

REPOSITORIES: ENA

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			Action	DRS
	SRR28968100_1.fastq.gz	Fastqsanger.gz
	SRR28968100_2.fastq.gz	Fastqsanger.gz
	SRR28968101_1.fastq.gz	Fastqsanger.gz
	SRR28968101_2.fastq.gz	Fastqsanger.gz
	SRR28968102_1.fastq.gz	Fastqsanger.gz

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A consensus molecular subtypes classification strategy for clinical colorectal cancer tissues

Project description:This work presents a novel Consensus Molecular Subtypes (CMS) classifier for colorectal cancer (CRC), optimized for degraded RNA stemming from clinical formalin-fixed paraffin-embedded tissue samples.

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A consensus molecular subtypes classification strategy for clinical colorectal cancer tissues.

Project description:Consensus Molecular Subtype (CMS) classification of colorectal cancer (CRC) tissues is complicated by RNA degradation upon formalin-fixed paraffin-embedded (FFPE) preservation. Here, we present an FFPE-curated CMS classifier. The CMSFFPE classifier was developed using genes with a high transcript integrity in FFPE-derived RNA. We evaluated the classification accuracy in two FFPE-RNA datasets with matched fresh-frozen (FF) RNA data, and an FF-derived RNA set. An FFPE-RNA application cohort of metastatic CRC patients was established, partly treated with anti-EGFR therapy. Key characteristics per CMS were assessed. Cross-referenced with matched benchmark FF CMS calls, the CMSFFPE classifier strongly improved classification accuracy in two FFPE datasets compared with the original CMSClassifier (63.6% versus 40.9% and 83.3% versus 66.7%, respectively). We recovered CMS-specific recurrence-free survival patterns (CMS4 versus CMS2: hazard ratio 1.75, 95% CI 1.24-2.46). Key molecular and clinical associations of the CMSs were confirmed. In particular, we demonstrated the predictive value of CMS2 and CMS3 for anti-EGFR therapy response (CMS2&3: odds ratio 5.48, 95% CI 1.10-27.27). The CMSFFPE classifier is an optimized FFPE-curated research tool for CMS classification of clinical CRC samples.

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Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer

Project description:Consensus molecular subtypes classification of colorectal cancer as a predictive factor for chemotherapeutic efficacy against metastatic colorectal cancer

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RNA-seq profiling of upper tract urothelial carcinoma: bladder cancer consensus classification relevance, molecular heterogeneity and differential immune signatures

Project description:Analyses of large transcriptomics datasets of muscle-invasive bladder cancer (MIBC) has led to a consensus classification. Molecular subtypes of upper tract urothelial carcinomas (UTUC) are less known. Our objective was to determine the relevance of consensus classification in UTUCs by characterizing a novel cohort of surgically treated ≥pT1 tumors.Subtype IHC markers GATA3-CK5/6-TUBB2B in multiplex, CK20, p16 and Ki67, MMR proteins, PD-L1 IHC were evaluated. Heterogeneity was assessed morphologically and/or with subtype IHC. FGFR3 mutations were identified by pyrosequencing. We performed 3’RNA-seq, including with multisampling in heterogeneous cases. Consensus classes, unsupervised groups, and microenvironment cell abundance were determined using gene expression.Most of the 66 patients were men (77.3%), with pT1 (n=23, 34.8%) or pT2-4 stage UTUC (n=43, 65.2%). FGFR3 mutations and dMMR status were identified in 40% and 4.7% of cases, respectively. Consensus subtypes robustly classified UTUCs and reflected intrinsic subgroups. All pT1 tumors were classified as Luminal papillary (LumP). Combining our consensus classification results to that of previously published UTUC cohorts, LumP tumors represented 57.2% of ≥pT2 UTUC, which was significantly higher than in MIBC. Ten patients (15.2%) harbored areas of distinct subtypes. Consensus classes were associated with FGFR3 mutations, stage, morphology and IHC. The majority of LumP tumors were characterized by low immune infiltration and PD-L1 expression, in particular if FGFR3 mutated.

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A panel of DNA methylation markers for the classification of consensus molecular subtypes 2 and 3 in patients with colorectal cancer

Project description:INTRODUCTION. Consensus molecular subtypes (CMSs) can guide precision treatment of colorectal cancer (CRC). Currently available dedicated assays can identify CMS1 and CMS4 cases very well while a dedicated test to distinguish CMS2 and 3 is lacking. This study aimed to identify a panel of methylation markers to distinguish between CMS2 and 3 in patients with CRC. METHODS. Fresh-frozen tumor tissue of 239 patients with stage I-III CRC who underwent surgery between 2007 and 2014 was included. CMS classification was performed on RNA-seq data using the single-sample prediction parameter from the “CMSclassifier” package. Methylation profiles were gathered/obtained using the Infinium HumanMethylation450 BeadChip for 146 samples (124 CMS2 and 22 CMS3) . We performed adaptive group-regularised logistic ridge regression with post-hoc group-weighted elastic net marker selection to build prediction models for classification of CMS2 and CMS3 based on 15, 10 or 5 methylation markers. Data from the Cancer Genome Atlas project was used for independent validation of our obtained models. RESULTS. Overall methylation profiles differed between CMS2 and CMS3 tumors. Group-regularisation of the methylation probes was done based on their location either relative to a CpG island or relative to a gene present in the CMS classifier. This resulted in two different prediction models and subsequently different marker panels. For both panels, even when using only 5 markers, the sensitivity, specificity, and accuracy were >90%. Independent validation of the fixed models in TCGA data showed comparable performances. CONCLUSION. Our highly sensitive and specific methylation marker panel can be used to distinguish CMS2 and 3. This enables future development of a qPCR DNA methylation assay in patients with CRC to provide a specific and non-invasive classification tool.

2021-12-08 | GSE164811 | GEO

Matrisome-focused integrative omics analysis reveals stromal phenotypes associated with consensus molecular subtypes in colorectal cancer

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A panel of DNA methylation markers for the classification of consensus molecular subtypes 2 and 3 in patients with colorectal cancer

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Clinical-proteomic classification and precision treatment strategy of chordoma

Project description:Clinical-proteomic classification and precision treatment strategy of chordoma

2024-07-04 | PXD053631 |

Small bowel carcinomas in celiac disease: transcriptomic profiling and comparison with the consensus molecular subtypes of colorectal cancers

Project description:Purpose: Celiac disease (CD) is a risk factor for developing Small Bowel Carcinoma (SBC) with a 14 folds higher risk than that of the general population. As SBCs associated with CD (CD-SBCs) are extremely rare, very few molecular data are currently available about their pathogenesis and information about CD-SBC transcriptomic profiling is completely lacking. Patients and Methods: We generated RNA-seq data on 13 CD-SBCs selected from the largest and well-characterized series of CD-SBCs published so far that was collected by the Small Bowel Cancer Italian Consortium. In all cases we compared the CD-SBC transcriptional signatures with the four consensus molecular subtypes (CMS) of colorectal carcinoma (CRC) applying the ‘CMS classifier’. CpG Island Methylator Phenotype (CIMP+) was evaluated in all cases using methylation-sensitive multiple ligation-dependent probe amplification. Results: RNA-based signatures of CD-SBCs exhibited strong similarities with CRCs. Twelve of 13 CD-SBCs (92%) fell within the two main subtypes exhibiting high immune and inflammatory signatures, i.e. CMS1 and CMS4. CMS1 CD-SBCs (62% of cases) were commonly MSI/CIMP+ tumors and showed increased expression of genes associated with a diffuse TH1 and cytotoxic T immune infiltrate, up-regulation of apoptosis, cell cycle progression and proteasome pathways. CMS4 CD-SBCs (31% of cases) showed prominent TGF-β activation and were characterized by complement-associated inflammation, matrix remodeling, stromal invasion and angiogenesis Conclusions: RNA-based signatures of CD-SBCs strongly recapitulate CMS classification of CRC, give a promising tool to improve our knowledge of this rare entity and provide clinically useful information using the wealth of data available for CRC.

2020-03-01 | E-MTAB-7760 | biostudies-arrayexpress

Consensus Molecular Subtype predicts differential vulnerability of colorectal cancer to the survivin suppressant YM155 II

Project description:Tumor heterogeneity is a major challenge to the treatment of colorectal cancer (CRC). Recently, a transcriptome-based classification was developed, segregating CRC into four consensus molecular subtypes (CMS) with distinct biological and clinical characteristics. Here, we applied the CMS classification on CRC cell lines to identify novel subtype-specific drug vulnerabilities. We combined publicly available transcriptome data from multiple resources to assign 159 CRC cell lines to CMS. By integrating results from large scale drug screens, we discovered that CMS1 cancer is highly vulnerable to the survivin suppressor YM155. We confirmed our results using an independent panel of CRC cell lines and demonstrate a 100-fold higher sensitivity of CMS1 lines. This vulnerability was specific to YM155 and not observed for commonly used chemotherapeutic agents. In CMS1 cancer, low concentrations of YM155 induced apoptosis and expression signatures associated with NFkappaB and ER stress mediated apoptosis signaling. Using a genome-wide CRISPR/Cas9 screen, we discovered a novel role of genes involved in LDL-receptor recycling as modulators of YM155 response in CMS1 CRC. Our work shows that combining drug response data with CMS classification in cell lines can reveal specific vulnerabilities and propose YM155 as novel CMS1 specific drug. We performed expression profiling experiments in order to validate molecular subtypes for selected cell lines

2018-07-03 | GSE116528 | GEO

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