Dataset Information


Clonality analysis in breast tumour pairs using aCGH data

ABSTRACT: Multiple tumours from the same patient were analysed for copy number alterations to assess tumour clonality. Seventy-four tumours corresponding to 37 patients were stratified into four groups based on the anatomic location of the multiple breast cancers (ipsilateral or bilateral) and time interval between the diagnoses (synchronous or metachronous). Ipsilateral was defined as tumours occurring in the same breast while bilateral was defined as the occurrence of tumours in both breasts. Metachronicity was defined as a time interval greater than six months between the diagnoses of the first and second tumours, while synchronicity specified that the two tumours occurred concurrently (BM: bilateral-metachronous; BS: bilateral-synchronous; IM: ipsilateral-metachronous; IS: ipsilateral-synchronous). Overall design: Genomic DNA was isolated from fresh-frozen tissue samples


ORGANISM(S): Homo Sapiens

SUBMITTER: Jana Biermann  

PROVIDER: GSE108984 | GEO | 2019-01-03


Dataset's files

Action DRS
GSE108984_RAW.tar Raw
GSE108984_norm_log2_ratios.txt.gz Txt
filelist.txt Txt
Items per page:
1 - 3 of 3
altmetric image


<h4>Background</h4>Molecular classification of tumour clonality is currently not evaluated in multiple invasive breast carcinomas, despite evidence suggesting common clonal origins. There is no consensus about which type of data (e.g. copy number, mutation, histology) and especially which statistical method is most suitable to distinguish clonal recurrences from independent primary tumours.<h4>Methods</h4>Thirty-seven invasive breast tumour pairs were stratified according to laterality and time  ...[more]

Similar Datasets

2019-01-03 | GSE108982 | GEO
2004-01-01 | S-EPMC2395303 | BioStudies
| S-EPMC8259340 | BioStudies
| S-EPMC6795528 | BioStudies
| S-EPMC1774771 | BioStudies
2018-02-13 | GSE27531 | GEO
2017-01-01 | S-EPMC5706824 | BioStudies
| S-EPMC4041672 | BioStudies
| S-EPMC7817585 | BioStudies
| S-EPMC4726500 | BioStudies