Homo sapiens
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ABSTRACT:
PROVIDER: PRJNA108977 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:This SuperSeries is composed of the following subset Series: GSE10128: Genomic copy number alterations as predictive markers of systemic recurrence in breast cancer GSE10129: Genomic copy number alterations as predictive markers of neoadjuvant chemotherapy response in breast cancer Refer to individual Series
2010-05-27 | E-GEOD-10181 | biostudies-arrayexpress
Project description:Genomic copy number alterations as predictive markers in breast cancer
| PRJNA108393 | ENA
Project description:Genomic copy number alterations as predictive markers of neoadjuvant chemotherapy response in breast cancer
| PRJNA108979 | ENA
Project description:Intratumor heterogeneity fosters the evolution of the genome leading to metastatic progress and therapy resistance . Here, we investigate the relative contribution of tumor aneuploidy and genomic heterogeneity involving CNAs and mutational events as prognostic and predictive determinants for disease recurrence in early-stage colon cancer patients. We combined SNP arrays, targeted next-generation sequencing, fluorescence in situ hybridization and inmunohistochemistry on a retrospective cohort of 84 untreated stage II colon cancer patients. We assessed the subclonality of copy-number alterations (CNAs) and mutations, CD8+ lymphocyte infiltration levels and their association with time to recurrence (TTR).
2021-12-01 | GSE171777 | GEO
Project description:Background: Metastases result in 90% of all cancer deaths. Prostate cancer primary tumors evolve to become metastatic through selective alterations, such as amplification and deletion of genomic DNA. Methods: Genomic DNA copy number alterations were used to develop a gene signature that measured the metastatic potential of a prostate cancer primary tumor. We studied the genomic landscape of these alterations in 294 primary tumors and 49 metastases from 5 independent cohorts. Receiver-operating characteristic cross-validation and Kaplan-Meier survival analysis were performed to assess the accuracy of our predictive model. The signature was measured in a panel of 337 cancer cell lines from 29 different tissue origins. Results: We identified 399 copy number alterations around genes that were over-represented in metastases and predictive of whether a primary tumor will metastasize. Cross-validation analysis resulted in a predictive accuracy of 80.5% and log rank analysis of the metastatic potential score was significantly related to the endpoint of metastasis-free survival (p=0.014). The metastatic signature was observed in cell lines originating from lung, breast, colon, thyroid, rectum, pancreas and melanoma. The signature was comprised in part of genes of known or putative metastatic role — 8 solute carrier genes, 6 Cadherin family genes and 5 potassium channel genes — that function in metabolism, cell-to-cell adhesion and escape from anoikis/apoptosis. Conclusions: Somatic Copy number alterations are an independent predictor of metastatic potential. The data indicate a prognostic utility for using primary tumor genomics to assist in clinical decision making and developing therapeutics for prostate and likely other cancers. genomic DNA from 29 prostate cancer tumors with matched normals run on Affymetrix 6.0 SNP arrays.
2013-12-01 | E-GEOD-27105 | biostudies-arrayexpress
Project description:Colorectal adenomas are common precancerous lesions with the potential for malignant transformation to colorectal adenocarcinoma. Endoscopic polypectomy provides an opportunity for cancer prevention, however, recurrence rates are high. We collected formalin-fixed paraffin-embedded tissue of fourteen primary adenomas with recurrence, fourteen primary adenomas without recurrence, and fourteen matched pair samples (primary adenoma and the corresponding recurrent adenoma). These samples were analysed by array-based comparative genomic hybridisation (aCGH) to understand the dynamics of copy number alterations (CNAs) and to identify molecular markers to predict recurrence. ACGH analysis confirmed the genetic landscape specific for colorectal tumorigenesis, i.e., CNAs of chromosomes 7 (13.7%), 13q (13.7%), 18 (5.8%) and 20q (13.7%). CNAs were detected in 41/51 (80.4%) of colorectal adenomas (2N). Focal aberrations (≤10 Mbp) were mapped to chromosome bands 6p22.1-p21.33 (33.3%), 7q22.1 (31.4%) and 16q21 (29.4%). Gains of CDX2 were exclusively seen in adenomas with recurrence compared to adenomas without recurrence. However, the average number of copy alterations failed to discriminate primary adenomas with recurrence from primary adenomas without recurrence.
2018-04-01 | GSE110221 | GEO
Project description:Background: Metastases result in 90% of all cancer deaths. Prostate cancer primary tumors evolve to become metastatic through selective alterations, such as amplification and deletion of genomic DNA. Methods: Genomic DNA copy number alterations were used to develop a gene signature that measured the metastatic potential of a prostate cancer primary tumor. We studied the genomic landscape of these alterations in 294 primary tumors and 49 metastases from 5 independent cohorts. Receiver-operating characteristic cross-validation and Kaplan-Meier survival analysis were performed to assess the accuracy of our predictive model. The signature was measured in a panel of 337 cancer cell lines from 29 different tissue origins. Results: We identified 399 copy number alterations around genes that were over-represented in metastases and predictive of whether a primary tumor will metastasize. Cross-validation analysis resulted in a predictive accuracy of 80.5% and log rank analysis of the metastatic potential score was significantly related to the endpoint of metastasis-free survival (p=0.014). The metastatic signature was observed in cell lines originating from lung, breast, colon, thyroid, rectum, pancreas and melanoma. The signature was comprised in part of genes of known or putative metastatic role — 8 solute carrier genes, 6 Cadherin family genes and 5 potassium channel genes — that function in metabolism, cell-to-cell adhesion and escape from anoikis/apoptosis. Conclusions: Somatic Copy number alterations are an independent predictor of metastatic potential. The data indicate a prognostic utility for using primary tumor genomics to assist in clinical decision making and developing therapeutics for prostate and likely other cancers.
2013-12-01 | GSE27105 | GEO
Project description:We analysed a cohort of pure DCIS cases treated only with wide local excision for genome-wide copy number and loss of heterozygosity using Affymetrix OncoScan® MIP arrays. Cases included those without recurrence within 6 years (n=25) and with recurrence between 1-5 years after diagnosis (n=15). Additional cases were excluded for low grade (n=6) or non-clonal recurrence (n=2). Recurrence tumour was available for 8 cases. Pure DCIS were broadly similar in copy number changes compared to invasive breast cancer, with the consistent exception of a greater frequency of ERBB2 amplification in DCIS. There were no significant differences in age or ER status between the cases with a recurrence versus those without. Overall, the DCIS cases with recurrence had more copy number events than the DCIS without recurrence. The increased copy number appeared non-random with several genomic regions showing an increase in frequency in recurrent cases including 20q gain, ERBB2 amplification and 15q loss. Copy number changes may provide prognostic information for DCIS recurrence but validation in additional cohorts is required.
2015-12-01 | GSE66746 | GEO
Project description:An oligo array based high-resolution analysis of copy number alterations in 171 primary breast tumors of relatively small size and low NPI, and 49 breast cancer cell-lines. Objectives of the study were to study the molecular taxonomy and the genomic aberration patterns in a breast cancer cohort representative of breast cancer demographics. Keywords: array comparative genomic hybridisation
2007-08-16 | GSE8757 | GEO
Project description:DNA from 136 resected breast cancer tissues from patients exposed to ioinising radiation and non-exposed controls was analysed for genomic copy number alterations. The two groups were compared for the delination of genomic copy number changes associated with exposure status.
2018-04-02 | E-MTAB-6176 | biostudies-arrayexpress