NCBI Logo
GEO Logo
   NCBI > GEO > Accession DisplayHelp Not logged in | LoginHelp
GEO help: Mouse over screen elements for information.
          Go
Series GSE108166 Query DataSets for GSE108166
Status Public on Dec 20, 2019
Title Differential clinicopathological and molecular features within late-onset colorectal cancer according to tumor location
Organism Homo sapiens
Experiment type Genome variation profiling by genome tiling array
Summary Background: Since there is a predilection of some clinical and molecular features for a given tumor location, we assessed whether this can be confirmed in late-onset colorectal cancer (LOCRC). Methods: We analyzed clinical and molecular characteristics of LOCRC at different tumor locations in order to determine if there are differential phenotypes related with the location in the colon. Results: Right colon cancers showed features associated with sporadic Microsatellite Instability: predominance of female cases and BRAF mutations, and an important mucinous component. Left colon cancers developed a higher number of polyps and multiple primary CRCs, showed the strongest familial component, and had better prognosis. Rectal cancers showed a predominantly sporadic phenotype, with worse prognosis and a CpG Island Methylator Phenotype (CIMP)-High. No copy number alterations (CNAs) greater than or equal to 50% were observed in this LOCRC group, and the most recurrent alterations were losses at 5q13 and 14q11, and gains at 7q11, 7q21-q22, 19p13-p12, 19q13 and 20p11-q11. KRAS and PIK3CA were the only mutated genes showing differences according to the tumor location, mainly for right colon cancers. Conclusions: Categorizing LOCRC according to tumor location appears to be an adequate first step to resolving the heterogeneity of this subset of CRC.
 
Overall design A total of 100 consecutive individuals with colorectal cancer diagnosed at an age of 70 years or older were collected from our institution, starting from January 2002. All patients, or a first degree relative in case of death of the index case, provided written consent. 86 of these samples could be adequately processed for Array Comparative Genomic Hybridisation (a-CGH).
 
Contributor(s) Brandariz L, Arriba M, García JL, Cano JM, Rueda D, Rubio E, Rodríguez Y, Pérez J, Vivas A, Sánchez C, Tapial S, Pena L, García-Arranz M, García-Olmo D, Urioste M, González-Sarmiento R, Perea J
Citation missing Has this study been published? Please login to update or notify GEO.
Submission date Dec 15, 2017
Last update date Dec 21, 2019
Contact name Juan Luis Garcia
E-mail(s) jlgarcia@usal.es
Phone +34923294812
Organization name Centro de Investigación del Cáncer IBMCC-CIC
Lab Laboratorio 12
Street address Campus Miguel de Unamuno
City Salamanca
State/province Salamanca
ZIP/Postal code 37007
Country Spain
 
Platforms (1)
GPL10197 Nimblegen Human 12x135K array [090527_HG18_WG_CGH_v3.1_HX12]
Samples (86)
GSM2891526 CRC ≥ 70 years. Sample 2
GSM2891527 CRC ≥ 70 years. Sample 3
GSM2891528 CRC ≥ 70 years. Sample 4
Relations
BioProject PRJNA422799

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
GSE108166_RAW.tar 449.8 Mb (http)(custom) TAR (of PAIR)
Processed data included within Sample table

| NLM | NIH | GEO Help | Disclaimer | Accessibility |
NCBI Home NCBI Search NCBI SiteMap