TY - JOUR
T1 - Raman metabolic imaging
T2 - an emerging tool for the study of drug resistance in cancer
AU - Zhao, Wenying
AU - Yue, Shuhua
N1 - Publisher Copyright:
© 2025 IOP Publishing Ltd. All rights, including for text and data mining, AI training, and similar technologies, are reserved.
PY - 2025/4/28
Y1 - 2025/4/28
N2 - Metabolic heterogeneity within tumors is a key driver of drug resistance, as distinct subpopulations adapt to the tumor microenvironment by exploiting specific metabolic pathways. This diversity enables certain subpopulations to evade therapeutic intervention, thereby leading to therapy failure and cancer relapse. Metabolic reprogramming exacerbates resistance by enabling cancer cells to modulate their metabolic pathways to counteract therapeutic pressures, promoting the survival of resistant subpopulations. Traditional metabolic analyses generally measure average metabolite levels across cell populations, while Raman metabolic imaging offers a more precise, subcellular perspective, enabling non-destructive and real-time monitoring of dynamic metabolic processes related to drug resistance. Our review highlights advancements in Raman spectroscopy and microscopy, and explores their applications in cancer drug resistance research. We focus on their role in revealing intratumoral metabolic heterogeneity, monitoring metabolic reprogramming in drug-resistant cells, and enabling rapid cancer drug sensitivity evaluation.
AB - Metabolic heterogeneity within tumors is a key driver of drug resistance, as distinct subpopulations adapt to the tumor microenvironment by exploiting specific metabolic pathways. This diversity enables certain subpopulations to evade therapeutic intervention, thereby leading to therapy failure and cancer relapse. Metabolic reprogramming exacerbates resistance by enabling cancer cells to modulate their metabolic pathways to counteract therapeutic pressures, promoting the survival of resistant subpopulations. Traditional metabolic analyses generally measure average metabolite levels across cell populations, while Raman metabolic imaging offers a more precise, subcellular perspective, enabling non-destructive and real-time monitoring of dynamic metabolic processes related to drug resistance. Our review highlights advancements in Raman spectroscopy and microscopy, and explores their applications in cancer drug resistance research. We focus on their role in revealing intratumoral metabolic heterogeneity, monitoring metabolic reprogramming in drug-resistant cells, and enabling rapid cancer drug sensitivity evaluation.
KW - Raman metabolic imaging
KW - cancer drug resistance
KW - drug sensitivity analysis
KW - metabolic heterogeneity
KW - metabolic reprogramming
UR - https://www.scopus.com/pages/publications/105000773432
U2 - 10.1088/1361-6463/adbfa2
DO - 10.1088/1361-6463/adbfa2
M3 - 文献综述
AN - SCOPUS:105000773432
SN - 0022-3727
VL - 58
JO - Journal of Physics D: Applied Physics
JF - Journal of Physics D: Applied Physics
IS - 17
M1 - 173001
ER -