Raman Spectroscopy Analysis of The Temporal Heterogeneity in Lung Cell Carcinogenesis Induced by Benzo(a)pyrene
10.16476/j.pibb.2023.0447
- VernacularTitle:苯并(a)芘诱导的肺细胞癌变过程中时间异质性的拉曼光谱分析
- Author:
Hai-Tao ZHOU
1
;
Wei YAO
1
;
Cao-Zhe CUI
1
;
Xiao-Tong ZHOU
1
;
Xi-Long LIANG
2
;
Cheng-Bing QIN
3
;
Lian-Tuan XIAO
3
;
Zhi-Fang WU
1
;
Si-Jin LI
1
Author Information
1. Collaborative Innovation Center of Molecular Imaging Precision Medical, Department of Nuclear Medicine, The First Hospital of Shanxi Medical University, Shanxi Medical University, Taiyuan 030001, China
2. Central Laboratory, Taiyuan Central Hospital of Shanxi Medical University, Taiyuan 030001, China
3. Collaborative Innovation Center of Extreme Optics, Shanxi University, Institute of Laser Spectroscopy, State Key Laboratory of Quantum Optics and Quantum Optics Devices, Taiyuan 030006, China
- Publication Type:Journal Article
- Keywords:
temporal heterogeneity;
lung cancer;
Raman spectroscopy;
multivariate statistical analysis;
benzo(a)pyrene exposure
- From:
Progress in Biochemistry and Biophysics
2024;51(6):1458-1470
- CountryChina
- Language:English
-
Abstract:
ObjectiveTemporal heterogeneity in lung cancer presents as fluctuations in the biological characteristics, genomic mutations, proliferation rates, and chemotherapeutic responses of tumor cells over time, posing a significant barrier to effective treatment. The complexity of this temporal variance, coupled with the spatial diversity of lung cancer, presents formidable challenges for research. This article will pave the way for new avenues in lung cancer research, aiding in a deeper understanding of the temporal heterogeneity of lung cancer, thereby enhancing the cure rate for lung cancer. MethodsRaman spectroscopy emerges as a powerful tool for real-time surveillance of biomolecular composition changes in lung cancer at the cellular scale, thus shedding light on the disease’s temporal heterogeneity. In our investigation, we harnessed Raman spectroscopic microscopy alongside multivariate statistical analysis to scrutinize the biomolecular alterations in human lung epithelial cells across various timeframes after benzo(a)pyrene exposure. ResultsOur findings indicated a temporal reduction in nucleic acids, lipids, proteins, and carotenoids, coinciding with a rise in glucose concentration. These patterns suggest that benzo(a)pyrene induces structural damage to the genetic material, accelerates lipid peroxidation, disrupts protein metabolism, curtails carotenoid production, and alters glucose metabolic pathways. Employing Raman spectroscopy enabled us to monitor the biomolecular dynamics within lung cancer cells in a real-time, non-invasive, and non-destructive manner, facilitating the elucidation of pivotal molecular features. ConclusionThis research enhances the comprehension of lung cancer progression and supports the development of personalized therapeutic approaches, which may improve the clinical outcomes for patients.
