최지은 (서울대학교)

이도엽 (서울대학교)

최지은 (서울대학교)

박영재 (서울대학교)

채우리 (서울대학교)

이주은 (한국기초과학지원연구원 (KBSI))

조주연 (서울대학교)

이도엽 (서울대학교)

Cancer is a leading cause of mortality worldwide. It originates from cells that evade the normal cycle of apoptosis, leading to uncontrolled proliferation and disruption of bodily functions. Medical professionals emphasize that early diagnosis of cancer is crucial due to limited treatment options in advanced stages of the disease.

Metabolomics, the comprehensive analysis of metabolic processes, is widely utilized to identify key biomarkers indicative of disease states. Liquid chromatography-mass spectrometry (LC-MS) has emerged as a predominant analytical technique in this field. However, quality control (QC) in LC-MS-based analyses remains a significant challenge despite its widespread application. This study aimed to enhance QC in LC-MS analysis of cancer cell lines by employing chemical mixtures and internal standards. We analyzed cell lines derived from lung, colorectal, and breast cancers (n = 5, 6, and 6, respectively) to establish robust baseline data by characterizing their metabolic profiles.

This foundational work facilitates subsequent comparative studies focused on identifying specific biomarkers associated with these cancers. By improving quality QC measures in LC-MS analysis, we contribute to the development of more reliable and reproducible metabolomic profiling techniques for cancer research, potentially leading to improved diagnostic and prognostic tools.