Browse
Submit Data
Databases
API
Help

Dataset Information

0 Views

0 Connections

0 Citations

0 Reanalyses

0 Downloads

Omics score: 0

The effects of timing of fine needle aspiration biopsies on gene expression profiles in breast cancers

ABSTRACT: Paired fine needle aspiration biopsies (FNABs) of breast cancers were taken before (PRE) and after (POST) surgeries from 16 patients and compared the cDNA microarray data to determine the genes that were differentially expressed between the FNABs taken at the two time points. The timing of fine needle aspiration biopsies can be a confounding factor in microarray data analyses in breast cancer. FOS-related genes, which have been implicated in early hypoxia as well as the development of breast cancers, were differentially expressed before and after surgery. Therefore, it is important that future studies take timing of tissue acquisition into account. Keywords: Breast cancer, fine needle, biopsy timing, microarray standardization, early hypoxic genes

ORGANISM(S): Homo sapiens

PROVIDER: GSE12072 | GEO | 2008/09/09

SECONDARY ACCESSION(S): PRJNA113325

REPOSITORIES: GEO

ACCESS DATA

Json Xml

Dataset's files

Source:

			Action	DRS
		Other

Items per page:

1 - 1 of 1

Similar Datasets

The effects of timing of fine needle aspiration biopsies on gene expression profiles in breast cancers

Project description:Paired fine needle aspiration biopsies (FNABs) of breast cancers were taken before (PRE) and after (POST) surgeries from 16 patients and compared the cDNA microarray data to determine the genes that were differentially expressed between the FNABs taken at the two time points. The timing of fine needle aspiration biopsies can be a confounding factor in microarray data analyses in breast cancer. FOS-related genes, which have been implicated in early hypoxia as well as the development of breast cancers, were differentially expressed before and after surgery. Therefore, it is important that future studies take timing of tissue acquisition into account. Keywords: Breast cancer, fine needle, biopsy timing, microarray standardization, early hypoxic genes Dye-swap technical replicates were included both in PRE and POST FNABs for every patient, then the two replicated array data were combined for analysis.

2008-09-09 | E-GEOD-12072 | biostudies-arrayexpress

Expression data from paired matched breast cancer Fine needle aspiration (FNA) or Core needle biopsies (CBX)

Project description:Paired FNA and CBX specimens were prospectively collected from 37 breast cancers before any systemic therapy during a biomarker discovery study at The University of Texas M. D. Anderson Cancer Center. We identified 293 probe sets overexpressed in core biopsies; these included five highly coexpressed gene clusters (metagenes) corresponding to immune functions and extracellular matrix components. We compared gene expression profiles of pairs of fine-needle (stroma-poor) and core-needle (stroma-rich) biopsies from 37 cancers to identify stroma-associated genes

2011-10-31 | GSE32518 | GEO

Expression data from paired matched breast cancer Fine needle aspiration (FNA) or Core needle biopsies (CBX)

2011-10-31 | E-GEOD-32518 | biostudies-arrayexpress

Gene expression signature involved in estrogen receptor status and prognosis of breast cancers.

Project description:Fine needle aspiration biopsies (FNABs) of breast cancers were taken before and after surgeries from 16 patients. The cDNA microarray data were used to determine the gene expression profile responding to patient's clinical finding and tumor's pathological changes. A gene profile was generated as Estrogen Receptor Gene Signature (ERGS). The ERGS was verified in a reference dataset and correlated with patient's prognosis significantly. Keywords: Breast cancer, fine needle biopsy, estrogen receptor, prognostic gene signature

2009-07-01 | GSE12080 | GEO

TRANSCRIPTOMIC ANALYSIS ON ENDOSCOPIC ULTRASOUND FINE NEEDLE ASPIRATION MATERIALS FROM PRIMARY PANCREATIC ADENOCARCINOMA

Project description:The study aimed to compare the molecular profiles of metastatic, locally advanced, and resected primary pancreatic adenocarcinoma at the genomic and transcriptomic levels. DNA and mRNA were extracted from endoscopic ultrasound-guided fine needle aspiration-biopsy material of primary tumors from 397 patients, and they were subsequently analyzed by targeted deep sequencing and RNAseq.

2024-01-18 | GSE253260 | GEO

Molecular analyses of prostate tumors for diagnosis of malignancy on Fine-Needle Aspiration biopsies

Project description:Molecular analyses of prostate tumors for diagnosis of malignancy on Fine-Needle Aspiration biopsies

| PRJNA413754 | ENA

Gene expression signature involved in estrogen receptor status and prognosis of breast cancers.

2009-07-01 | E-GEOD-12080 | biostudies-arrayexpress

Molecular analyses of prostate tumors for diagnosis of malignancy on Fine-Needle Aspiration biopsies

Project description:Prostate cancer (PCa) is a common cancer and remains the second leading cause of cancer-associated mortality in men. To investigate the involvement of differentially expressing genes in PCa with deregulated pathways to allow earlier diagnosis of the disease, transcriptomic analyses of differential expression genes in Fine-Needle Aspiration (FNA) biopsies were for discrimination of PCa from benign prostatic hyperplasia (BPH). The RNA samples were extracted from four PCa biopsy samples and four BPH biopsy controls for microarray profiling and performed in Affymetrix Human U133 Plus 2 arrays for gene expression profiling analysis. Microarray data were analyzed using GeneSpring GX 10 (Agilent).On average, we detected expression of 47,000 transcripts.Under the criteria fold change > 2 or < 0.5, we obtained 1819 differential expressed genes(DEGs).Hierarchy cluster analysis also indicated that the 8 samples were distributed into two clusters, 4 PCa samples in one cluster and 4 BPH samples in another cluster.Then,qRT-PCR validation of the DEGs in PCa tissue and prostate cancer cells.The results revealed that grouping was reasonable and the data can be directly applied to further analysis.

2017-10-11 | GSE104749 | GEO

Expression data from fine-needle aspiration biopsies of breast cancer metastases from different anatomical sites

Project description:Breast cancer molecular subtypes preferentially metastasize to specific organs and the anatomical location of the metastasis is associated with the length of survival post-recurrence. We used microarrays to provide a detailed characterization of breast cancer site-specific metastases with particular focus on identifying genes predictive of breast cancer liver metastatic proprnsity We performed global gene expression profiling on fine-needle aspirates of metastatic lesions from different anatomical sites obtained from breast cancer patients treated within the Swedish randomized trial (TEX) of first-line chemotherapy for locally advanced or metastatic breast cancer. Samples were collected before commencement of treatment.

2013-12-02 | E-GEOD-46141 | biostudies-arrayexpress

Clinical relevance of DNA microarray analyses using archival formalin-fixed paraffin-embedded breast cancer specimens

Project description:This SuperSeries is composed of the following subset Series: GSE23384: Gene profiling using archival formalin-fixed paraffin-embedded breast cancer specimens can generate informative microarray data: A comparison with matched fresh fine needle aspiration biopsy samples (FFPE samples) GSE23385: Gene profiling using archival formalin-fixed paraffin-embedded breast cancer specimens can generate informative microarray data: A comparison with matched fresh fine needle aspiration biopsy samples (FNA samples) Refer to individual Series

2011-06-22 | E-GEOD-23386 | 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