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Tamboli, N.

Publications and source records attributed to Tamboli, N..

3 recordsLinked to original sources

Secretome analysis of cancer-associated fibroblasts from prostate cancer to identify potential therapeutic targets

Tumor microenvironment (TME) is a complex entity comprising of several cell types secreted factors as well as an extracellular matrix. A dynamic interaction between tumor cells and their environment profoundly influences tumor survival, aggressiveness, and progression. Cancer- associated fibroblasts (CAFs) are one of the major cellular components of TME and serve as a major source of various secreted factors. These factors are known to modulate tumor survival and progression, as well as their response to therapy. Despite the importance of the TME factors on various aspects of tumor cell behavior, to date factors unique to CAFs that could be potential therapeutic targets are not identified in most systems. This study was aimed at identifying such factors from CAFs which may impact tumor behavior such as the ability to metastasize, response to therapy, relapse, etc. This would aid in identifying therapeutic targets originating from the TME. Furthermore, targeting those factors along with conventional chemotherapeutic drugs is likely to enhance the overall efficacy of the therapy. This study has used fibroblasts derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer for comparing the secretome using a quantitative proteomics approach. 66 proteins unique to CAFs and 24 unique to control (BPH) fibroblasts have been identified. Besides 236 proteins are differentially expressed between control and cancer- associated fibroblasts. Using in-silico approaches the potential processes that may be influenced by the differentially expressed proteins have also been identified. This study has identified both qualitative and quantitative differences between the secretomes of normal and cancer-associated fibroblasts with further validation, this paves the way for identifying therapeutic targets.

cancer biology↗

Comparative transcriptome of normal and cancer- associated fibroblasts

The characteristics of a tumor are largely determined by its interaction with the surrounding micro-environment (TME). TME consists of both cellular and non-cellular components. Cancer associated fibroblasts (CAFs) are a major component of the TME. They are a source of many secreted factors that influence the survival and progression of tumors as well as their response to drugs. Identification of markers either overexpressed in CAFs or unique to CAFs would pave the way for novel therapeutic strategies that would combine conventional chemotherapy and TME-targeted therapy for a better outcome. We have used fibroblast derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts. This has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts.

cancer biology↗

Gene expression signature of castrate resistant prostate cancer

Prostate gland is a highly androgen dependent gland and hence the first line of treatment for metastatic prostate cancer happens to be androgen ablation. This is achieved by multiple non-surgical methods. However, most of these cancers although respond well initially, become resistant to androgen ablation sooner or later. These cancers then become extremely aggressive and difficult to treat, thereby drastically affect the patient prognosis. The purpose of this project was to identify a gene expression signature for castrate resistant prostate cancer which may aid in identification of mechanisms responsible for castrate resistance. For this purpose, we have collected patient samples belonging to a. Control group; b. Castrate Sensitive group and c. Castrate resistant group. Gene expression profiling has been done on these samples using RNA-seq and several differentially expressed genes identified between the castrate sensitive and resistant groups. We have also identified some genes which are expressed in the castrate resistant group alone, which is of interest since these may have an implication in evolution of castrate resistance and also prognosis. We have compared this with data from The Cancer Genome Atlas (TCGA). Using criteria such as overall survival, disease free survival, progression free survival and biochemical recurrence, we have identified genes which may have relevance in progression to castrate resistance and in prognosis. Functional annotation of these genes may give an insight into the mechanism of development of castrate resistance.

cancer biology↗