Project Abstract

Cancer is a devastating disease that continues to challenge the scientific community, with its complex and constantly evolving nature. Understanding the fundamental mechanisms underlying the metabolic alterations in cancer cells is crucial for developing more effective therapeutic strategies. This project aims to conduct a comprehensive investigation of the molecular underpinnings of metabolic pathways in cancer cells, with the goal of elucidating novel targets for intervention and ultimately improving patient outcomes. Cancer cells exhibit a distinct metabolic profile, characterized by a shift towards aerobic glycolysis, also known as the Warburg effect. This metabolic reprogramming allows cancer cells to efficiently generate ATP and metabolic precursors to support their rapid proliferation and survival. However, the precise molecular mechanisms driving these metabolic changes and their downstream effects on cellular processes remain incompletely understood. This project will employ a multifaceted approach, combining state-of-the-art experimental techniques and bioinformatic analyses, to dissect the complex network of metabolic pathways in cancer cells. First, we will utilize advanced omics technologies, such as metabolomics and transcriptomics, to comprehensively profile the metabolic landscape of various cancer cell lines and patient-derived samples. This will provide a detailed snapshot of the altered metabolic signatures and identify key metabolic hubs and pathways that are dysregulated in cancer. Next, we will delve into the molecular mechanisms underlying these metabolic alterations by investigating the role of specific enzymes, transcription factors, and signaling cascades that regulate metabolic pathways. Through a combination of genetic manipulations, biochemical assays, and functional studies, we will elucidate the regulatory mechanisms that drive the metabolic reprogramming in cancer cells. This knowledge will be crucial for identifying potential therapeutic targets and developing targeted interventions. Furthermore, we will explore the dynamic interplay between metabolic pathways and other cellular processes, such as cell proliferation, survival, and drug resistance. By integrating multi-omics data and employing computational modeling, we aim to uncover the complex interactions and feedforward/feedback loops that govern the metabolic adaptations in cancer cells. This Systems Biology approach will provide a holistic understanding of how metabolic rewiring influences broader cellular phenotypes and may reveal novel vulnerabilities that can be exploited for therapeutic intervention. The findings from this project will have far-reaching implications for cancer research and clinical practice. By elucidating the molecular underpinnings of metabolic pathways in cancer cells, we will expand the fundamental knowledge in this field and pave the way for the development of innovative, targeted therapies. The identification of novel metabolic vulnerabilities and therapeutic targets may lead to the design of more effective and personalized treatment strategies, ultimately improving the prognosis and quality of life for cancer patients. In conclusion, this comprehensive investigation of the molecular basis of metabolic pathways in cancer cells holds the promise of unlocking new insights and therapeutic opportunities in the fight against this devastating disease. The multidisciplinary approach and the integration of cutting-edge technologies will drive the field forward, contributing to the ongoing efforts to understand and conquer cancer.

Project Overview