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ABSTRACT:
PROVIDER: PRJNA255671 | ENA |
REPOSITORIES: ENA
Similar Datasets
Project description:Gene and microRNA expression profiling of breast tumors from Chinese and Italian women [gene]
| PRJNA255673 | ENA
Project description:Gene and microRNA expression profiling of breast tumors from Chinese and Italian women [miRNA]
| PRJNA255672 | ENA
Project description:Gene and miRNA profiles from a unique Chinese/Caucasian trans-ethnic collection of breast cancer from Shanghai (China) and Milan (Italy) were compared using an unsupervised approach that identified similar clusters of correlated features in Chinese and Caucasian datasets. Partition of gene expression data using previously published gene signatures, such as the PAM50 intrinsic gene list and the extracellular matrix (ECM) genes, revealed Chinese and Caucasian subgroups with equivalent gene and miRNA expression profiles. A significant reduction of Luminal-A tumors was observed in the Chinese series. Tissue samples from 78 Chinese (Han Chinese) and 97 Italian (South Europe Caucasian) consecutive primary breast tumors were subjected to gene and miRNA profiling. Tissue specimens, initially collected respectively in the Chinese and Italian hospitals, were all stored, randomly processed and analyzed in identical experimental conditions in the Italian center to minimize pre-analytical, instrumental and computational variability, enabling direct comparison of gene and miRNA profiles from the two groups.
2015-03-31 | E-GEOD-59590 | biostudies-arrayexpress
Project description:Gene and miRNA profiles from a unique Chinese/Caucasian trans-ethnic collection of breast cancer from Shanghai (China) and Milan (Italy) were compared using an unsupervised approach that identified similar clusters of correlated features in Chinese and Caucasian datasets. Partition of gene expression data using previously published gene signatures, such as the PAM50 intrinsic gene list and the extracellular matrix (ECM) genes, revealed Chinese and Caucasian subgroups with equivalent gene and miRNA expression profiles. A significant reduction of Luminal-A tumors was observed in the Chinese series. Tissue samples from 78 Chinese (Han Chinese) and 97 Italian (South Europe Caucasian) consecutive primary breast tumors were subjected to gene and miRNA profiling. Tissue specimens, initially collected respectively in the Chinese and Italian hospitals, were all stored, randomly processed and analyzed in identical experimental conditions in the Italian center to minimize pre-analytical, instrumental and computational variability, enabling direct comparison of gene and miRNA profiles from the two groups.
2015-03-31 | E-GEOD-59594 | biostudies-arrayexpress
Project description:We performed a comprehensive proteogenomic profiling of cervical cancer (CC) tumors obtained from 139 Chinese women. This study provides a valuable public resource including proteomic, phosphoproteome, acetylproteome for researchers and clinicians to delve deeper into molecular causes of CC, and to identify potential treatments and advance clinical practice.
2024-10-09 | PXD055203 | Pride
Project description:Gene and miRNA profiles from a unique Chinese/Caucasian trans-ethnic collection of breast cancer from Shanghai (China) and Milan (Italy) were compared using an unsupervised approach that identified similar clusters of correlated features in Chinese and Caucasian datasets. Partition of gene expression data using previously published gene signatures, such as the PAM50 intrinsic gene list and the extracellular matrix (ECM) genes, revealed Chinese and Caucasian subgroups with equivalent gene and miRNA expression profiles. A significant reduction of Luminal-A tumors was observed in the Chinese series.
2015-03-31 | GSE59594 | GEO
Project description:Breast Cancer is the cancer with most incidence and mortality in women. microRNAs are emerging as novel prognosis/diagnostic tools. Our aim was to identify a serum microRNA signature useful to predict cancer development. We focused on studying the expression levels of 30 microRNAs in the serum of 96 breast cancer patients versus 92 control individuals. Bioinformatic studies provide a microRNA signature, designated as a predictor, based upon the expression levels of 5 microRNAs. Then, we tested the predictor in a group of 60 randomly chosen women. Lastly, a proteomic study unveiled the over-expression and down-regulation of proteins differently expressed in the serum of breast cancer patients versus that of control individuals. Twenty-six microRNAs differentiate cancer tissue from healthy tissue and 16 microRNAs differentiate the serum of cancer patients from that of the control group. The tissue expression of miR-99a-5p, mir-497-5p, miR-362, and miR-1274, and the serum levels of miR-141 correlated with patient survival. Moreover, the predictor consisting of mir-125b-5p, miR-29c-3p, mir-16-5p, miR-1260, and miR-451a was able to differentiate breast cancer patients from controls. The predictor was validated in 20 new cases of breast cancer patients and tested in 60 volunteer women, assigning 11 out of 60 women to the cancer group. An association of low levels of mir-16-5p with a high content of CD44 protein in serum was found. Circulating microRNAs in serum can represent biomarkers for cancer prediction. Their clinical relevance and use of the predictor here described might be of potential importance for breast cancer prediction.
2020-09-18 | PXD020795 | Pride
Project description:Identification for microRNA signatures to predict breast cancer recurrence in young women were performed through expression profiling of a total 2565 miRNAs in 45 samples diagnosed as invasive ducatal carcinoma of no special type (NST) cases which had been consecutively operated on within a defined short period of time.
2017-11-22 | GSE97811 | GEO
Project description:MicroRNA (miRNA/miR) miR526b and miR655 overexpressed tumor cell-free secretions promote breast cancer phenotypes in the tumor microenvironment (TME). However, the mechanisms of miRNA regulating TME have never been investigated. With mass spectrometry analysis of MCF7-miRNA-overexpressed versus miRNA-low MCF7-Mock tumor cell secretomes, we identified 34 novel secretory proteins coded by eight genes YWHAB, TXNDC12, MYL6B, SFN, FN1, PSMB6, PRDX4, and PEA15 those are differentially regulated. We used bioinformatic tools and systems biology approaches to identify these markers’ role in breast cancer. Gene ontology analysis showed that the top functions are related to apoptosis, oxidative stress, membrane transport, and motility, supporting miRNA-induced phenotypes. These secretory markers expression is high in breast tumors, and a strong positive correlation exists between upregulated markers’ mRNA expressions with miRNA cluster expression in luminal A breast tumors. Gene expression of secretome markers is higher in tumor tissues compared to normal samples, and immunohistochemistry data supported gene expression data. Moreover, both up and downregulated marker expressions are associated with breast cancer patient survival. miRNA regulates these marker protein expressions by targeting transcription factors of these genes. Premature miRNA (pri-miR526b and pri-miR655) are established breast cancer blood biomarkers. Here we report novel secretory markers upregulated by miR526b and miR655 (YWHAB, MYL6B, PSMB6, and PEA15) are significantly upregulated in breast cancer patients’ plasma, and are potential breast cancer biomarkers.
2023-05-10 | PXD031771 | Pride
Project description:Gene and miRNA profiles from a unique Chinese/Caucasian trans-ethnic collection of breast cancer from Shanghai (China) and Milan (Italy) were compared using an unsupervised approach that identified similar clusters of correlated features in Chinese and Caucasian datasets. Partition of gene expression data using previously published gene signatures, such as the PAM50 intrinsic gene list and the extracellular matrix (ECM) genes, revealed Chinese and Caucasian subgroups with equivalent gene and miRNA expression profiles. A significant reduction of Luminal-A tumors was observed in the Chinese series.
2015-03-31 | GSE59590 | GEO