Abstract
Abstract Background- Pancreatic cancer (PanCa) is one of the most aggressive forms of cancer and its incidence rate is continuously increasing every year. It is expected that by 2030, PanCa will become the 2nd leading cause of cancer related deaths in the United States due to the lack of understanding of the complexity of disease, early diagnostic methods, and extremely poor survival. Despite great advancements in biomedical research, there are very limited modalities available for the early detection of PanCa and its treatment. Thus, understanding of disease biology and identification of newer diagnostic and therapeutic modalities are high priority research in the field. Our group has identified Thyroid Receptor Interacting Protein -13 (TRIP13) as an oncogenic protein which contributes to early events of PanCa. Methodology- High dimensional omics and structural elucidation of TRIP13 was conducted using publicly available databases like Consurf, Phosphosite, GTEx and GEPIA2. Molecular biology techniques were applied to cross validate all our bioinformatics data. qPCR, immunoblotting and IHC analysis was performed in progressive PDAC cell lines and human tissues to decipher the expression level of TRIP13 in various pathological staging including functional enrichment analysis using Linkdomics. Results- The structural elucidation analysis revealed that most of the functionally exposed residues, phosphorylation and ubiquitylation sites situated at AAA domain of TRIP13. As compared to normal, TRIP13 is significantly over expressed in pancreatic tumor samples. Pathological staging 2 and 1 (early stages) showed relatively higher expression of TRIP13 as compared advanced stage. Of the total 7 isoforms of TRIP13, only one isoform (TRIP13-001) has shown the over expression in pancreatic tumor samples and shown association with poor survival. In correlation studies, TRIP13 has shown positive association with other pancreatic cancer biomarkers (CEACAM5, S100A4, MUC1, MSLN, CA125). The functional enrichment analyses suggest that TRIP13 is involved in important patho-physiological pathways like DNA repair, viral carcinogenesis, cellular senescence, and cell cycle. Our wet lab experiments also support our computational biology observation. Conclusion- This integrated computational biology study suggests a potential role of TRIP13 in pancreatic cancer progression via modulation of important oncological pathways. Wet lab experimentations also validated the involvement of TRIP13 in pancreatic cancer progression. TRIP13 expression may be associated with patient prognosis. Thus, its inhibitory small molecules can be useful for boosting pancreatic cancer therapies in clinical settings. Key words- TRIP13, Pancreatic cancer, Early events of cancer, Integrative Biology, Transcriptomics, Computational biology Citation Format: Swati Dhasmana, Anupam Dhasmana, Stella Rios, Iris A. Perez, Sheema Khan, Farrukh Afaq, Upender Manne, Murali M. Yallapu, Subhash C. Chauhan. TRIP13 augments pancreatic cancer progression- An integrated systems biology study [abstract]. In: Proceedings of the American Association for Cancer Research Annual Meeting 2024; Part 1 (Regular Abstracts); 2024 Apr 5-10; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2024;84(6_Suppl):Abstract nr 6220.
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