Please use this identifier to cite or link to this item: http://10.1.7.192:80/jspui/handle/123456789/10111
Title: Analyse the Effect of Anti - Estrogen on TGF- B Signaling in Triple Negative Breast Cancer Cells
Authors: Barad, Krishna
Rathod, Avani
Desai, Krisha
Moryani, Kamlesh
Keywords: Biochemistry
Project Report
Project Report 2021
19MBT
19MBC
19MBT002
19MBT036
19MBC005
19MBC011
Issue Date: May-2021
Publisher: Institute of Science, Nirma University
Series/Report no.: ;SDR00397
Abstract: Breast cancer is the most prevalent disease among women in the world. Current Breast Cancer Management revolve around targeting the Hormone receptors namely Estrogen receptor (ER) & Progesterone Receptor (PR) and Growth Factor receptor namely HER-2 Receptor (Human Epidermal Growth Factor Receptor-2). Antiestrogen Therapies using Tamoxifen and other hormone antagonists have been successful in treating hormone-sensitive Breast Cancers worldwide. The tumour with no presence of these markers is known as Triple-negative breast cancer and there is no treatment of these TNBC patients. Taking together it is difficult to manage TNBC tumors and along with that if it metastasizes than it will be more difficult to treat. Hence, we intended to unearth the Transcriptomic analysis of TNBC patients. In our present study we aim to analyze the effect of antiestrogen Drugs such as Tamoxifen and 4-OH Tamoxifen on triple negative Breast cancer Cells. For this we did Growth Curve analysis of MCF-7 Cell lines and also the effect of Short Term Drug Exposure on Breast Cancer cells. We also wanted to perform Long term Drug Exposure But due to COVID-19 Pandemic We can’t perform. We modify our objectives and we intend to identify the key genes responsible for bone metastasis using bioinformatics APPROACH. Subsequently, validation of the key genes will be done by using TNBC breast cancer cell lines. We have used various approaches and used numerous software (PANTHER, Network analyst, R package). Moreover, various databases like e (NCBI, GEO2R, Array express). Gene expression profiling of breast cancer helped in the understanding of the heterogeneity of breast cancer at the genomic level. A panel of genes were found to be significantly differentially expressed. Five of up regulated genes are 1, 2, 3, 4, 5 which have been associated with tumour progression, angiogenesis, and metastasis of breast cancer. This will help for the earlier diagnosis of breast and to find a potential biomarker for breast cancer metastasis. Gene expression profiling of breast cancer helped in the understanding of the heterogeneity of breast cancer at the genomic level. Moreover, we are trying to identify key genes which consider as a biomarkers.
Description: SDR00397
URI: http://10.1.7.192:80/jspui/handle/123456789/10111
Appears in Collections:Dissertation, BC

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