Intratumoral heterogeneity of DNA methylation in an ovarian metastasis from lobular breast cancer
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PROVIDER: PRJNA603490 | ENA |
REPOSITORIES: ENA
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Project description:In lobular breast cancer, metachronous distant metastasis may become evident many years after primary tumor diagnosis and often affect the ovary. Little is known about tumor dormancy and intratumoral heterogeneity of DNA methylation in metastasis from lobular breast cancer. In this exploratory analysis, DNA methylation patterns were studied in six spacially separated regions of an ovarian metastasis from lobular breast cancer.
2021-12-01 | GSE144359 | GEO
Project description:Ductal carcinoma in situ (DCIS) is a nonobligate precursor of invasive breast cancer. Its biological features, particularly its intratumoral heterogeneity, remain obscure. Moreover, mechanism of lymph node metastasis is unclear. To address this deficiency, we performed single-cell transcriptome profiling of DCIS, invasive ductal carcinoma (IDC) and lymph node metastasis. Single-cell transcriptome analysis revealed that breast cancer exhibits intratumoral heterogeneity at the transcriptional level, defining specific functions, and that DCIS has similar heterogeneity to IDC.
2022-08-02 | GSE195861 | GEO
Project description:Copy number analyses of regionally separated intratumoral biopsies of prostate cancers. Intratumoral heterogeneity (ITH) leads to regional biases of the mutational landscape in a single tumor and may influence the single biopsy-based clinical diagnosis and treatment decision. To evaluate the extent of ITH in unifocal prostate cancers (PCAs) that had not been sought, we analyzed multiple regional biopsies from three PCAs using DNA copy number analyses. DNA copy number showed ITH including regional biases in the presentation of a well-known driver of TMPRSS2-ERG fusion. Our analyses identified a substantial level of genetic ITH in unifocal PCAs at the genomic levels, which should be taken into account for the curation of biomarkers in the clinical setting. Four intratumoral biopsies were obtained per tumor for three prostate cancers. Radical prostatectomy tissue from three patients with prostate cancers were obtained. Board-certified pathologists reviewed the hematoxylin&eosin stained sections and identified tumor-rich regions (> 80% purity). We selected four different areas for biopsy that were at least 5mm apart and were comprised of the most common Gleason pattern (the most common histologic patterns with minimal histologic differences). Copy number profiling was performed using Agilent 180K platform according to the manufacturer's protocol.
2014-01-18 | E-GEOD-54185 | biostudies-arrayexpress
Project description:The aim of this study was to investigate the effect of VEGF targeted therapy (sunitinib) on intratumoral heterogeneity (ITH) in metastatic clear cell renal cancer (mRCC). 138 samples from patients with clear cell renal cell carcinoma, including biological replicates of nephrectomy samples. RNA extracted fresh frozen tissue samples.
2015-05-25 | E-GEOD-65615 | biostudies-arrayexpress
Project description:Copy number analyses of regionally separated intratumoral biopsies of prostate cancers. Intratumoral heterogeneity (ITH) leads to regional biases of the mutational landscape in a single tumor and may influence the single biopsy-based clinical diagnosis and treatment decision. To evaluate the extent of ITH in unifocal prostate cancers (PCAs) that had not been sought, we analyzed multiple regional biopsies from three PCAs using DNA copy number analyses. DNA copy number showed ITH including regional biases in the presentation of a well-known driver of TMPRSS2-ERG fusion. Our analyses identified a substantial level of genetic ITH in unifocal PCAs at the genomic levels, which should be taken into account for the curation of biomarkers in the clinical setting.
2014-01-18 | GSE54185 | GEO
Project description:The aim of this study was to investigate the effect of VEGF targeted therapy (sunitinib) on intratumoral heterogeneity (ITH) in metastatic clear cell renal cancer (mRCC).
2015-05-25 | GSE65615 | GEO
Project description:Exploring the expression profile of ovarian clear cell carcinoma cancer cell subpopulations- derived tumors grown within a murine and a human cellular tissues. RNA samples were obtained from laser micro-dissected from two cancer cell subpopulations (CCSPs C12 and C13)- derived tumors that developed within a murine (intratumoral) and a human (intra-teratoma) and from in vitro grown cells; a total of 9 RNA samples of CCSP's C12 and 9 RNA samples of CCSP's C13 .
2013-01-07 | E-GEOD-43208 | biostudies-arrayexpress
Project description:Ovarian cancer has a clear predilection for metastasis to the omentum, but the underlying mechanisms involved in ovarian cancer spread are not well understood. Here, we used a parabiosis model that demonstrates preferential hematogenous metastasis of ovarian cancer to the omentum. Our studies revealed that the ErbB3-neuregulin1 (NRG1) axis is a dominant pathway responsible for hematogenous omental metastasis. Elevated levels of ErbB3 in ovarian cancer cells and NRG1 in the omentum allowed for tumor cell localization and growth in the omentum. Depletion of ErbB3 in ovarian cancer substantially impaired omental metastasis. Our results highlight hematogenous metastasis as a previously under-recognized mode of ovarian cancer metastasis. These findings have implications for designing new strategies aimed at preventing and treating ovarian cancer metastasis.
2014-07-14 | GSE52999 | GEO
Project description:Ovarian cancer is the most frequent cause of cancer death in women and the leading cause of death related to gynecological cancer, accounting for 5% of estimated cancer deaths. Due to its asymptomatic nature at early stages, most ovarian cancers were diagnosed at an advanced stage, with distant metastasis in the abdominal cavity. Cancer metastasis is the primary cause of morbidity, and contributes to 95% of cancer-related deaths. Metastatic ovarian cancer is closely related with recurrence and drug resistance, rendering metastasis as the major challenge in the course of ovarian cancer treatment. Thorough understanding of ovarian cancer metastasis is believed to contribute to improve cancer cure rates, while it is still not well elucidated. One important aspect of ovarian cancer metastasis research is the identification of driver molecular. To identify proteins required for ovarian cancer metastasis, we carried out unbiased high-throughput screening by comparing the expression profile of ovarian cancer primary and metastasis tissues.
2023-01-20 | GSE222982 | GEO
Project description:Polysome profiling of a human glioblastoma reveals intratumoral heterogeneity
| PRJNA534298 | ENA