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Series GSE22495 Query DataSets for GSE22495
Status Public on Dec 20, 2012
Title Gene expression profiling of breast carcinomas using leftovers from diagnostic Fine Needle Aspiration Cytology
Organism Homo sapiens
Experiment type Expression profiling by array
Summary INTRODUCTION. Gene expression profiling has emerged as a potentially useful tool for personalized management of breast cancer. Adequate RNA can be obtained for this scope from dedicated fine-needle aspiration cytology (FNAC), with the limitation that separate sampling prohibits direct comparison with the material used for cytology. The aim of this study was to investigate whether syringe leftovers of cytological smears obtained in diagnostic FNACs can be successfully used to extract RNA for reliable PCR- and microarray-based gene expression analysis.

METHODS. Twenty-eight FNACs were performed under ultrasound guide. After preparing two smears for cytological diagnosis, the syringes were immediately rinsed with Trizol® to extract RNA from residual material. The abundance and type of cells obtained from the smears was recorded and compared to RNA amounts and quality as determined by spectrophotometry and RT-PCR. FNAC leftovers of eleven breast cancers of different size, histological type, grade and immunoprofile were then selected for gene expression profiling using oligonucleotide microarrays.

RESULTS. FNAC leftovers yielded an average of over 10 micrograms of RNA, more proportional to the amount of cells on the smear than to the lesion size, and adequate for expression analysis in 26/28 cases. The samples chosen for microarray analysis were clustered according to four criteria: (i) gene expression profiles of all detected genes; (ii) gene expression profiles of a previously defined stromal gene signature; (iii) “biological scores”, related to diagnostic cytological variables; (iv) “technical scores”, related to RNA/cRNA/microarray quality controls. Clusters generated by both expression profiles partitioned the samples in well-distinguished subgroups that were highly overlapping with clusters obtained using biological scores. Conversely, poor overlap was observed with clusters based on technical scores, demonstrating that sample divergences in RNA quality and amounts due to acquisition, handling and processing did not severely influence gene expression profiling.

CONCLUSIONS. The syringe leftover after the smearing procedures of FNAC samples is suitable for RNA banking even when taken from small, non-palpable breast lesions, which guarantees congruity between morphological and molecular analysis. RNA yield mostly correlates with cellularity of the smears, and gene expression profiles are consistent with the cytologic features, and therefore with tumour biology.
 
Overall design Eleven fine needle aspirates, each from a different breast cancer.
 
Contributor(s) Medico E, Sapino A
Citation(s) 22741037
Submission date Jun 22, 2010
Last update date Feb 13, 2020
Contact name Enzo Medico
E-mail(s) enzo.medico@ircc.it
Phone +39-011-9933234
Organization name Candiolo Cancer Institute, University of Torino
Department Oncology
Lab Laboratory of Oncogenomics
Street address Strada Prov. 142, km 3,95
City Candiolo
State/province TO
ZIP/Postal code 10060
Country Italy
 
Platforms (1)
GPL6947 Illumina HumanHT-12 V3.0 expression beadchip
Samples (11)
GSM658807 Breast Ca FNA B
GSM658808 Breast Ca FNA C
GSM658809 Breast Ca FNA E
Relations
BioProject PRJNA128657

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE22495_RAW.tar 6.2 Mb (http)(custom) TAR
GSE22495_non-normalized.txt.gz 3.7 Mb (ftp)(http) TXT
Processed data included within Sample table

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