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Series GSE166047 Query DataSets for GSE166047
Status Public on Mar 10, 2021
Title Transcriptional deregulation in subcutaneous adipose tissue from severely obese patients is associated with cancer: focus on gender differences and role of type 2 diabetes
Organism Homo sapiens
Experiment type Expression profiling by high throughput sequencing
Summary Obesity is a major risk factor for a high number of secondary diseases, including cancer. Specific insights into the role of gender differences and secondary co-morbidities, such as type 2 diabetes (T2D) and cancer risk, are yet to be fully obtained. The aim of this study is thus to find a correlation between the transcriptional deregulation present in the subcutaneous adipose tissue of obese patients and the risk of cancer, in the presence of T2D, and considering gender differences. Through deep RNA-sequencing we highlighted the presence of both coding and non-coding deregulated RNAs, and we subsequently assessed their oncogenic risk. We correlated the oncogenes with anthropometrical parameters, highlighting significant trends. For each analysed condition we assessed the oncogenic pathways deregulated, the specific prognosis for different cancer types and the lncRNAs involvement in oncogenic networks and tissues. Our results provided a comprehensive characterization of oncogenesis correlation in subcutaneous adipose tissue, providing specific insights into the oncogenic prognosis for obese, diabetic or gender-specific differences. These results could shed light on new molecular targets to be specifically modulated in obesity and highlight which cancers should be most looked out for a better prevention in obesity affected patients.
 
Overall design Biopsies of SAT collected from a total of 20 subjects: 5 healthy normal weight women (CTRL, age 37 ± 6.7 years, BMI 24.3 ± 0.9 kg/m2), 5 obese women (OBF, age 41 ± 12.5 years, BMI 38.2 ± 4.6 kg/m2), 5 obese women with T2D (OBT2D; age 54.6 ± 14.9 years, BMI 38.1 ± 11.8 kg/m2) and 5 obese men (OBM, age 42.4 ± 6.58 years, BMI 36.9 ± 3.5 kg/m2)
 
Contributor(s) Rey F, Messa L, Pandini C, Launi R, Micheletto G, Raimondi MT, Bertoli S, Cereda C, Zuccotti GV, Cancello R, Carelli S
Citation(s) 33671464, 33924951, 34901353
Submission date Feb 02, 2021
Last update date Dec 15, 2021
Contact name Letizia Messa
E-mail(s) [email protected]
Organization name Politecnico di Milano
Department Electronics, Informatics and Bioengineering
Street address Piazza Leonardo Da Vinci 32
City Milan
ZIP/Postal code 20133
Country Italy
 
Platforms (1)
GPL18573 Illumina NextSeq 500 (Homo sapiens)
Samples (20)
GSM5060703 NW1_S1
GSM5060704 NW2_S2
GSM5060705 NW3_S3
Relations
BioProject PRJNA699024
SRA SRP304398

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

Supplementary file Size Download File type/resource
GSE166047_RAW.tar 30.8 Mb (http)(custom) TAR (of DAT)
SRA Run SelectorHelp
Raw data are available in SRA
Processed data provided as supplementary file

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