Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

Clinicopathological differences between small and large T1 colorectal cancer

ABSTRACT: Primary outcome(s): Clinicopathological features included patient age, sex, initial treatment, tumor size, morphology, invasion depth, histological grade, lymphatic invasion, vascular invasion, tumor budding, and lymph node metastasis.

DISEASE(S): Early Colorectal Cancer

PROVIDER: 2660159 | ecrin-mdr-crc |

REPOSITORIES: ECRIN MDR

ACCESS DATA

Json Xml

Similar Datasets

Clinicopathological differences between right and left-sided T1 colorectal cancer

Project description:Primary outcome(s): Clinicopathological features included patient age, sex, initial treatment, tumor size, morphology, invasion depth, histological grade, lymphatic invasion, vascular invasion, tumor budding, and lymph node metastasis.

| 2647855 | ecrin-mdr-crc

The muscular, hepatic and adipose tissues proteomes in Muskox (Ovibos moschatus): differences between males and females

Project description:The proteomes of the muskox muscle, hepatic and adipose tissues are characterized for the first time. In addition, the effect of sex on tissue protein abundance is studied. Our results reveal that sex dimorphism goes from morphology to the molecular level in this species, affecting protein, lipid and carbohydrate metabolism. This contributes for an in-depth look into sex dimorphism using proteomics which is lacking in most mammals, apart from model species. Moreover, this information has been related to nutritional status, which is particularly important when managing the muskox population and the transformation of its habitat in relation to external factors such as climate changes that can severely affect ecosystems.

2019-08-15 | PXD014147 | Pride

LncRNA-miRNA-mRNA network interactions with clinicopathological outcomes in gastric cancer patients

Project description:To investigate lncRNA-miRNA-mRNA network interactions with clinicopathological outcomes in gastric cancer, microarray analysis was obtained by microRNA profiling from the patient samples. The potential target genes were then predicted by miRmap, targetscan, and miRWalk2.0. The candidate lncRNAs were collected by the LncRNA2target and TANRIC databases. The expression levels of candidate lncRNAs, miRNAs, and mRNAs were measured in tumor and normal samples using qRT-PCR and ELIZA techniques and compared with the clinicopathological outcomes. We then performed gene expression profiling analysis using data obtained from RNA-seq of two tissue samples of gastric cancer patients.

2022-07-02 | GSE207154 | GEO

Sporadic early-onset colorectal carcinoma is a distinct clinicopathological and molecular entity

2014-08-04 | GSE39084 | GEO

Sexual differences in the gonochoristic tardigrade Paramacrobiotus metropolitanus,

Project description:Sex dimorphism is a diversification that can be observed in single species of gonochoristic animals. Phylum Tardigrada exhibits remarkable diversity in sex dimorphism in its morphology and behavior. Despite the wealth of genomic and zoological knowledge accumulating, sexual genetic differences of tardigrades have been identified yet. In this study, we focused on the gonochoristic species Paramacrobiotus metropolitanus, employing omics analyses to unravel the basis of sex differences. Approximately 2,000 male-biased expression genes were concentrated in 29 non-male-specific genomic loci, of which two paralogs of a new Doublesex-Mab-3-related (DM) subfamily specific to Macrobiotidae were discovered. We also identified several tardigrade specific anhydrobiosis genes exhibiting sex-biased　expression, suggesting a potential role in protecting sex-specific gametes. The existence of male-biased, but not male specific genomic loci and the limited conservation of the newly identified dimorphically-expressed DM subfamily would provide the foundation for understanding the diverse sex determination cascade in tardigrades.

2024-06-26 | GSE253242 | GEO

Magnifying chromoscopic colonoscopy versus endoscopic ultrasonography to predict depth of invasion for early colorectal cancer

Project description:Interventions: "A group: MC followed by EUS" for diagnosis of invasion depth From February 2011 to December 2013 "B group: EUS followed by MC" for diagnosis of invasion depth From February 2011 to December 2013 Primary outcome(s): Accuracy rate for invasion depth of early colorectal cancer by MC and EUS Study Design: Cross-over Randomized

| 2620527 | ecrin-mdr-crc

Gene expression profiling of colorectal cancers to understand molecular changes and clinicopathological features

Project description:Gene expression was analyzed in terms of canonical molecular changes and clinicopathological features to elucidate alternative or subordinate pathways during colorectal tumorigenesis and tumor growth. Eighty-four sporadic colorectal cancer patients, standardized by tumor location, were consecutively enrolled. Representative molecular changes including APC, TP53, Wnt, RAF, and mismatch repair defect (MMR) were recorded for each sample. Keywords: disease state analysis; sub-type analysis within colorectal cancers

2009-03-01 | GSE10982 | GEO

Usefulness of forward-viewing radial-array endoscopic ultrasonography for evaluating invasion depth of colorectal neoplasms

Project description:Interventions: We diagnose the invasion depth by pit pattern and EUS in the same group. Primary outcome(s): The accuracy for invasion depth of colorectal neoplasms Study Design: Single arm Non-randomized

| 2643268 | ecrin-mdr-crc

Sporadic early-onset colorectal carcinoma is a distinct clinicopathological and molecular entity

Project description:Sporadic early onset colorectal carcinoma (EOCRC) is a growing problem that remains poorly understood. Clinical specificities and mechanisms of tumorigenesis might be relevant to both diagnosis and treatment. In this prospective study, clinicopathological features, genomic and gene expression profiles of sporadic EOCRC were compared to other well defined groups of CRC. Seventy selected patients were divided into 4 groups according to age (< 45 or > 60 years) and mismatch repair status. Mutations of key genes involved in colorectal carcinogenesis (P53, KRAS, BRAF, PIK3CA) were detected and the methylator phenotype (CIMP) established. Gene expression profiles (GEP) were obtained using pangenomic Affymetrix GeneChip.

2014-08-04 | E-GEOD-39084 | biostudies-arrayexpress

Comparative genomic hybridization of breast tumors to identify links between copy number alterations and specific clinicopathological parameter

Project description:Breast cancer is a leading cause of cancer-death among women, where the clinicopathological features of tumors are used to prognosticate and guide therapy. DNA copy number alterations (CNAs), which occur frequently in breast cancer and define key pathogenetic events, are also potentially useful prognostic or predictive factors. Here, we report a genome-wide array-based comparative genomic hybridization (array CGH) survey of CNAs in 89 breast tumors from a patient cohort with locally advanced disease. Statistical analysis links distinct cytoband loci harboring CNAs to specific clinicopathological parameters, including tumor grade, estrogen receptor status, presence of TP53 mutation, and overall survival. Notably, distinct spectra of CNAs also underlie the different subtypes of breast cancer recently defined by expression-profiling, implying these subtypes develop along distinct genetic pathways. In addition, higher numbers of gains/losses are associated with the "basal-like" tumor subtype, while high-level DNA amplification is more frequent in "luminal-B" subtype tumors, suggesting also that distinct mechanisms of genomic instability might underlie their pathogenesis. The identified CNAs may provide a basis for improved patient prognostication, as well as a starting point to define important genes to further our understanding of the pathobiology of breast cancer.

2006-12-01 | E-SMDB-3878 | biostudies-arrayexpress

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