Life Sciences & Biotechnology
Title : | Transcriptome profiling to identify LncRNA-miRNA-mRNA regulatory axes involved in chemoresistance in esophageal cancer |
Area of research : | Life Sciences & Biotechnology |
Focus area : | Cancer Biology, Genomics |
Principal Investigator : | Dr. Rinu Sharma, Guru Gobind Singh Indraprastha Vishwavidyalaya, Delhi |
Timeline Start Year : | 2023 |
Timeline End Year : | 2026 |
Contact info : | rinusharma@gmail.com |
Details
Executive Summary : | Esophageal cancer (EC) is a growing global issue, with new cases in India accounting for 10.5% of the total EC burden. EC ranks third in cancer-related deaths among men in India, with a mortality to incidence ratio of 0.9. Recurrence is common after curative abscission, and the 5-year survival rate remains unaltered for decades. Neoadjuvant chemotherapy is recommended to improve patient survival, but the outcomes are not uniform. A significant number of esophageal tumors are highly resistant to standard chemotherapy, with pathologic complete response expected in 25%-30% of patients. Determining the molecular mechanisms underlying EC is crucial to overcome chemoresistance and improve prognosis. Long non-coding RNAs (lncRNAs) have been found to play a pivotal role in conferring anticancer drug resistance. LncRNAs, which are transcripts of over 200 nucleotides, play the role of 'fine-tuners' and contribute to transcription and post-transcriptional control and protein activity. Recent findings reveal the role of individual lncRNA/miRNA/mRNA axes in the development and progression of several cancers. However, whether lncRNAs and their associated miRNA/mRNA axes serve as prognostic factors or predictive factors for response to neoadjuvant therapy remains unclear. The current study aims to understand lncRNA mediated regulation of chemoresistance in esophageal cancer and evaluate their potential as predictors of chemotherapy response. The study also intends to identify and evaluate the role of specific lncRNA/miRNA/mRNA axes in EC and chemoresistance using integrated analysis of transcriptome profiles in parental and resistant EC cell lines. |
Total Budget (INR): | 45,35,687 |
Organizations involved