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Series GSE101447 Query DataSets for GSE101447
Status Public on Feb 14, 2022
Title Intratumor heterogeneity in metastic endometrial carcinoma
Organism Homo sapiens
Experiment type Genome variation profiling by genome tiling array
Summary Endometrial cancer (EC) is the most common female genital malignancy and the fourth most common cancer in women in the developing world1. EC has been traditionally classified into two main groups with different clinical, pathological and molecular features2,3. Type I or endometrioid endometrial carcinomas (EECs) account for about 75% of the cases and are typically estrogen-related and low-grade tumors with good prognosis that coexist or are preceded by endometrial hyperplasia, mainly diagnosed in perimenopausal women. In contrast, type II or non-endometrioid endometrial carcinomas (NEECs) are high-grade aggressive tumors associated with endometrial atrophy and poor prognosis, unrelated to estrogen and diagnosed in older women. These comprise several histological subtypes, being the most common the serous carcinomas (SEC)4. In recent years numerous large-scale studies of primary endometrioid and serous tumors have been performed5, revealing new mutated genes and establishing a new molecular subclassification based on the results obtained by The Cancer Genome Atlas (TCGA) consortium6, which implies different clinical outcomes. More recently, the genomic evolution of EC has been analyzed through a comparative study of samples from endometrial atypical hyperplasia, primary tumors and paired metastases7, revealing the presence of intratumor heterogeneity as previously described in primary EC and other tumor types8,9. However an in-depth study considering multiple regions from primary tumor and paired metastases has not been performed up to now to our knowledge. Here we analyze by whole-exome sequencing (WES), massive parallel targeted sequencing and array comparative genomic hybridization (aCGH) the clonal evolution and intratumor heterogeneity of 7 endometrioid and 3 serous metastatic endometrial carcinomas. Different locations from the primary tumor as well as from their paired metastases were included in the study, allowing the reconstruction of the spatial and temporal phylogenetic evolution of the tumor. Different phylogenetic evolution patterns were identified, independently of the classical histological or molecular classification of the tumor, although similar patterns were found in ovarian metastasis and recurrent disease.
Overall design At least 5 different tumor regions obtained from primary tumor and metastic disease from the same patient were analyzed
Contributor(s) Mota A, Burke KA, Selenic P, Colas E, Triviño JC, Garcia-Sanz P, Gatius S, Garcia A, Rojo-Sebastian A, Rodriguez-Perales S, Torres-Ruiz R, Vidal A, Gil-Moreno A, Reis-Filho JS, Matias-Guiu BX, Moreno-Bueno G
Citation(s) 35145232
Submission date Jul 14, 2017
Last update date Feb 15, 2022
Contact name Gema Moreno-Bueno
Organization name Instituto de Investigaciones Biomédicas "Alberto Sols" CSIC-UAM
Department Biochemistry
Lab Translational Cancer Research Lab
Street address Arzobispo Morcillo 4
City Madrid
ZIP/Postal code 28029
Country Spain
Platforms (1)
GPL10123 Agilent-022060 SurePrint G3 Human CGH Microarray 4x180K (Feature Number version)
Samples (18)
GSM2703732 US22502553_252206068702_S01_CGH_1105_Oct12_1_1
GSM2703733 US22502553_252206068701_S01_CGH_1105_Oct12_1_1
GSM2703734 US22502553_252206068701_S01_CGH_1105_Oct12_1_2
BioProject PRJNA394258

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
GSE101447_RAW.tar 350.6 Mb (http)(custom) TAR (of TXT)
Processed data included within Sample table
Processed data provided as supplementary file

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