Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Gene expression data from very early stage lesions (T1) of colorectal cancer

ABSTRACT: There are ~1.4 million cases of colorectal cancer (CRC) annually worldwide. Due to recent implementation of bowel cancer screening (BCS), incidence of diagnosis with stage I (T1/2, N0, M0) CRC has increased nearly four-fold; from approximately 12% pre-screening to approximately 42-45%. While survival rates for patients diagnosed with stage I CRC remains above 95%, and identification of patients at this early stage provides the best opportunity to improve in cancer survival rates, recent data has provided quantitative evidence that metastatic seeding can occur from disseminated cells at the very earliest stage of CRC development. The aim of study was to give an insight into aggressive “born-to-be-bad” biology through generation and transcriptional profiling of a novel case-controlled retrospective T1 CRC discovery cohort. We performed transcriptional and histological profiling to identify molecular pathology features of the high-risk metastatic phenotypes, discriminating between relapse and non-relapse T1 lesions and found that a cohort of aggressive early disseminating stage 1 CRC is associated with high cell intrinsic TGFB signalling and not stromal signalling.

ORGANISM(S): Homo sapiens

PROVIDER: GSE162667 | GEO | 2021/11/30

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

Epithelial TGFβ activation engages growth-factor signalling to circumvent cell death and drive intestinal tumorigenesis with aggressive features.

Project description:The pro-tumourigenic role of epithelial TGFβ in colorectal cancer (CRC) has been controversial. Here we identify a cohort of aggressive ‘bad acting’ early-stage (T1) disseminating tumours characterised by high cell-intrinsic TGFβ signalling emanating from the epithelium, not stroma. To address its functional significance, we activated TGFβ signalling in the murine intestinal epithelium either alone or in concert with the common tumour suppressive and oncogenic mutations found in CRC, namely Apc and Kras. Consistent with previous studies, we found that activation of TGFβ rapidly induced apoptosis in Apc-mutant intestine and completely killed Apc-mutant organoids. However, in the presence of both Apc and Kras mutation, activation of TGFβ within the epithelium rampantly accelerates tumourigenesis. Importantly the transcriptional signatures derived from these mice overlapped with the “bad acting” T1 human tumours and this signalling could also predict recurrence in stage II CRC. Mechanistically, the activation of intrinsic TGFβ induced the expression of a growth-factor signalling module containing EGFR that synergised with Apc and Kras to drive marked activation of MAPK signalling. Importantly, inhibition of MEK and/or EGFR suppressed the acceleration conferred by TGFβ even in Kras-mutant cells, which are refractory to MEK/EGFR inhibition in the absence of epithelial TGFβ. Together, we identify both a determinant of early dissemination and a potential vulnerability for tumours with these born-to-be-bad traits.

2021-08-13 | GSE182019 | GEO

EGAS00001005734-sc-2023-05-22T14:58:04Z - samples

Project description:The introduction of bowel cancer screening has led to a significant increase in the proportion of patients being diagnosed with asymptomatic, early-stage colorectal cancer (CRC). Although the majority of these patients are successfully treated with surgery alone, a small proportion of patients have 'born-to-be-bad' aggressive lesions with early dissemination leading to distant metastases. Current standard of care histological assessment is unable to distinguish between these aggressive versus non-aggressive early lesions which is essential to provide appropriate clinical management decisions. This study aims to carry out molecular and histological profiling of approximately 300 T1 CRCs in order to develop a molecular stratifier based on the risk of relapse in early-invasive CRC. This novel T1 cohort will represent the world's largest molecularly characterised T1 cohort of samples, with digital pathology assessment alongside whole exome sequencing, copy number variation analysis and 3' RNA-seq. This data will be used to generate a robust panel of molecular and/or histological markers applicable to formalin-fixed paraffin embedded (FFPE) archival tissue which discriminates between T1 lesions based on risk of relapse, which will ultimately be used to inform clinical management of CRC at the earliest stages of the disease.

| EGAD00001010890 | EGA

Mass spectrometric detection of proteins associated with lymph node metastasis in T1/2 colorectal cancer from FFPE archival specimens

Project description:Surgical resection of colorectal cancers (CRC) that have not invaded beyond the bowel wall (i.e. Stage I) can achieve 5-year patient survival rates exceeding 90%. In the majority of Stage I cases with T1 (submucosal) or T2 (not beyond the muscularis propria) depth of tumour invasion, surgery alone is curative. However, for approximately 10% of resected T1/2 CRC, even though histopathology inspection of the tumour deems it to be restricted to the bowel wall, malignant cells are identified in draining lymph nodes, signifying local metastasis. These patients are classified with Stage IIIA disease and are at greater risk than Stage I patients whose tumours show similar invasive depth, but lack lymph node involvement. To counter the risk of distant malignant dissemination, Stage IIIA patients require more extensive treatment with adjuvant chemotherapy, while Stage I patients do not. In this study we aim to get a better understanding of the underlying biological pathways linked to lymph node metastasis (LNM) using discovery based MS (DIA) and RNASeq as well as IHC and PRM to verify possible protein marker. All of this was done on archival tissue samples (FFPE).

2021-01-14 | PXD020808 | Pride

Molecular risk stratification in patients with T1 colorectal cancer WES

Project description:The introduction of bowel cancer screening has led to a significant increase in the proportion of patients being diagnosed with asymptomatic, early-stage colorectal cancer (CRC). Although the majority of these patients are successfully treated with surgery alone, a small proportion of patients have Ã¢Â€Â˜born-to-be-badÃ¢Â€Â™ aggressive lesions with early dissemination leading to distant metastases. Current standard of care histological assessment is unable to distinguish between these aggressive versus non-aggressive early lesions which is essential to provide appropriate clinical management decisions. This study aims to carry out molecular and histological profiling of approximately 300 T1 CRCs in order to develop a molecular stratifier based on the risk of relapse in early-invasive CRC. This novel T1 cohort will represent the worldÃ¢Â€Â™s largest molecularly characterised T1 cohort of samples, with digital pathology assessment alongside whole exome sequencing, copy number variation analysis and 3Ã¢Â€Â™ RNA-seq. This data will be used to generate a robust panel of molecular and/or histological markers applicable to formalin-fixed paraffin embedded (FFPE) archival tissue which discriminates between T1 lesions based on risk of relapse, which will ultimately be used to inform clinical management of CRC at the earliest stages of the disease.

| EGAS00001005734 | EGA

Identification of Differential Tumor Subtypes of T1 Bladder Cancer

Project description:Stage T1 bladder cancers have the highest progression and recurrence rates of all non-muscle invasive bladder tumors. T1 tumors are heterogeneous; while most T1 patients are treated with BCG, many will progress and die from bladder cancer, and particularly aggressive tumors could be treated by early cystectomy. To better understand the molecular heterogeneity of T1 cancers, we performed transcriptome profiling and unsupervised clustering, identifying five consensus subtypes of T1 tumors treated with reTUR, induction and maintenance BCG. The T1-LumGU subtype was associated with CIS (6/13, 46% of all CIS), had high E2F1 and EZH2 expression, and enriched E2F target and G2M checkpoint Hallmarks. T1-Inflam was inflamed and infiltrated with immune cells. While most T1 tumors were classified as luminal papillary, the T1-TLum subtype had the highest median Luminal Papillary score and FGFR3 expression, no recurrence events, and the fewest copy number gains. T1-Myc and T1-Early subtypes had the most recurrences (14/30 within 24 months), highest median MYC expression, and, when combined, had significantly worse recurrence-free survival than the other three subtypes. T1-Early had 5 (38%) recurrences within the first 6 months of BCG, and repressed IFN-alpha and IFN-gamma Hallmarks and inflammation. We developed a single-patient T1 classifier and validated our subtype biology in a second cohort of T1 tumors. Future research will be necessary to validate the proposed T1 subtypes and to determine if therapies can be individualized for each subtype.

2020-07-13 | GSE154261 | GEO

OSCC whole genome expression by T stage

Project description:Differentially expressed genes between T4 and T1 stage human oral squamous cell carcinoma (OSCC) 36 OSCC samples separated by tumor size T stage, in dual color microarray, using a pool of human cell lines as control. Screening for differentially expressed genes was performed in a cohort of 36 patients randomly selected. Transcriptional profiles were performed using Agilent one color hybridizations in a G4851A platform.

2015-06-23 | E-GEOD-59069 | biostudies-arrayexpress

microRNA profiles for lymph node metastasis in T1-stage colorectal cancers.

Project description:If we can more accurately predict the likelihood of regional lymph node metastasis (LNM) for endoscopically resected T1-stage colorectal cancers (CRC), the number of unnecessary additional surgeries can be reduced. We aimed of identify miRNA markers that can predict LNM-positive tumors among T1-stage CRCs and we also developed a miRNA classifier set for facilitating the accuracy and applicability.

2015-09-30 | GSE70574 | GEO

Transcriptomic analyses of high-grade neuroendocrine carcinoma of gynecologic origin

Project description:High-grade neuroendocrine carcinomas (NECs) of the cervix are rare, aggressive cancers accounting for about 1-1.5% of all cervical cancer. The 5-year survival is up to 36% for early-stage disease; however, the advanced-stage disease has <10% survival, with relapse rates exceeding 90%. These cancers are likely to have a vascular invasion and nodal or visceral metastasis. Unfortunately, NEC of the cervix affects young women with a median age of 37. High-grade NECs of other gynecologic origins are even rarer, share similar aggressive behavior and poor outcomes. We performed stranded paired-end RNA-seq of 13 samples, including 12 samples with matched whole exome sequencing (WES) data. Sites of origin for tumors in our cohort were the cervix (69%), ovary (19%), and endometrium (12%). The median number of prior lines of therapy was 1. Median PFS and OS were 1 and 12 months, respectively, indicating their highly lethal nature. Comparing transcriptomic profiles with TCGA cervical and ovarian cancers, chromatin assembly and nucleosome organization were the top GO functions for significantly over-expressed genes in our cohort. Remarkably, under-expressed genes in our cohort were enriched for protein modification and catabolic processes, and neutrophil-mediated immunity. Compared to small cell lung cancer (SCLC), our cohort showed highly distinct transcriptomic patterns, and represented the YAP1 high molecular subtype.

2021-09-01 | GSE157601 | GEO

Aspirin Suppresses Age-Related Methylation Drift in Healthy Colon by Targeting Epigenetic Regulators

Project description:DNA of 124 normal mucosa biopsies from cecum (proximal) and sigmoid (distal) colon obtained at baseline (t1) and after 10years (t2) from 31 screening females was subjected to measure DNA methylation profiles by Illumina Infinium EPIC Human Methylation BeadChip across approximately 850,000 CpGs.

2020-11-09 | GSE142257 | GEO

Extracellular vesicle membrane protein profiling and targeted mass spectrometry unveil novel plasma biomarkers for detection of colorectal cancer

Project description:Extracellular vesicles (EVs) are valuable sources for the discovery of useful cancer biomarkers. This study explores the potential usefulness of tumor cell-derived EV membrane proteins as plasma biomarkers for early detection of colorectal cancer (CRC). EVs were isolated from the culture supernatants of four CRC cell lines by ultracentrifugation, and their protein profiles were analyzed by LC-MS/MS. Bioinformatics analysis of identified proteins revealed 518 EV membrane proteins in common among at least three CRC cell lines. We next used accurate in-clusion mass screening (AIMS) in parallel with iTRAQ-based quantitative proteomic analysis to highlight candidate proteins and validated their presence in pooled plasma-generated EVs from 30 healthy controls and 30 CRC patients. From these, we chose 14 potential EV-derived targets for further quantification by targeted MS assay in a separate individual cohort comprising of 73 CRC and 80 healthy subjects. Quantitative analyses revealed significant increases in ADAM10, CD59 and TSPAN9 levels (2.19- to 5.26-fold, p <0.0001) in plasma EVs from CRC patients, with AUC values of 0.83, 0.95 and 0.87, respectively. Higher EV CD59 levels were significantly corre-lated with distant metastasis (p = 0.0475), and higher EV TSPAN9 levels were significantly asso-ciated with lymph node metastasis (p = 0.0011), distant metastasis at diagnosis (p = 0.0104) and higher TNM stage (p = 0.0065). A two-marker panel consisting of CD59 and TSPAN9 outper-formed the conventional marker CEA in discriminating CRC and stage I/II CRC patients from healthy controls, with AUC values of 0.98 and 0.99, respectively. Our results identify EV mem-brane proteins in common among CRC cell lines and altered plasma EV protein profiles in CRC patients, and suggest plasma EV CD59 and TSPAN9 as a novel biomarker panel for detecting early-stage CRC.

2023-03-11 | PXD038871 | Pride

OmicsDI is part of the ELIXIR infrastructure

OmicsDI is an Elixir interoperability service. Learn more ›

Tweets

OmicsDI Databases

PRIDE
PeptideAtlas
MassIVE
JPOST Repository
Physiome Model Repository

EGA
EVA
ENA
LINCS
PAXDB
Cell Collective

MetaboLights
Metabolomics Workbench
MetabolomeExpress
GNPS
BioModels
FAIRDOMHub

ArrayExpress
dbGaP
ExpressionAtlas
GEO
NODE

Information

Databases
Help
API
Contact us
Code on GitHub
Terms of use
Submit Data