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 inf...

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Published in:BMC cancer Vol. 24; no. 1; pp. 1231 - 31
Main Authors: Abikar, Apoorva, Mustafa, Mohammad Mehaboob Subhani, Athalye, Radhika Rajiv, Nadig, Namratha, Tamboli, Ninad, Babu, Vinod, Keshavamurthy, Ramaiah, Ranganathan, Prathibha
Format: Journal Article
Language:English
Published: England BioMed Central Ltd 05-10-2024
BioMed Central
BMC
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Summary: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 in combination with conventional chemotherapy are likely to have better patient outcome. Fibroblasts have been derived from Benign Prostatic Hyperplasia (BPH) and prostate cancer. RNA from these has been used to perform a transcriptome analysis in order to get a comparative profile of normal and cancer-associated fibroblasts. The study has identified 818 differentially expressed mRNAs and 17 lincRNAs between normal and cancer-associated fibroblasts. Also, 15 potential lincRNA-miRNA-mRNA combinations have been identified which may be potential biomarkers. This study identified differentially expressed markers between normal and cancer-associated fibroblasts that would help in targeted therapy against CAFs/derived factors, in combination with conventional therapy. However, this would in future need more experimental validation.
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ISSN:1471-2407
1471-2407
DOI:10.1186/s12885-024-13006-x