Study on the chemodrug-induced effect in nasopharyngeal carcinoma cells using laser tweezer Raman spectroscopy

Sufang Qiu1,2,3,4, Miaomiao Li5,3, Jun Liu6,7

  • 1Department of Radiation Oncology, Fujian Medical University Cancer Hospital and Fujian Cancer Hospital, Fuzhou 350014, China.

Insights

Label-free laser tweezers Raman spectroscopy (LTRS) effectively identified biomolecular changes in nasopharyngeal carcinoma (NPC) cells treated with chemotherapy. This technique shows promise for evaluating NPC drug efficacy at the single-cell level.

Area of Science:

  • Biomedical Optics
  • Chemical Biology
  • Cancer Research

Background:

  • Nasopharyngeal carcinoma (NPC) requires effective chemotherapeutic evaluation.
  • Single-cell analysis offers detailed insights into drug effects.
  • Raman spectroscopy provides label-free molecular information.

Purpose of the Study:

  • To investigate the impact of chemotherapeutic drugs on NPC cells using Raman spectroscopy.
  • To analyze single-cell biomolecular alterations induced by gemcitabine, cisplatin, and paclitaxel.
  • To assess the potential of label-free laser tweezers Raman spectroscopy (LTRS) for evaluating NPC drug responses.

Main Methods:

  • Two NPC cell lines (CNE2, C666-1) were treated with gemcitabine, cisplatin, and paclitaxel.
  • Label-free laser tweezers Raman spectroscopy (LTRS) was used for single-cell spectral acquisition.
  • Multivariate statistical analyses, including PCA, LDA, and CRT, were applied to spectral data.

Main Results:

  • LTRS detected significant biomolecular changes in treated NPC cells, including alterations in protein structure, DNA/RNA content, and lipid reduction.
  • Specific Raman peaks indicated changes in protein (1655 cm⁻¹), DNA/RNA (830 cm⁻¹, 785 cm⁻¹), and lipids (970 cm⁻¹).
  • High discriminant accuracy (up to 96.7%) was achieved in classifying treated versus control cells using PCA/LDA and CRT.

Conclusions:

  • LTRS is a powerful tool for label-free, single-cell analysis of chemotherapeutic effects on NPC.
  • The study demonstrates LTRS's potential as a novel strategy for evaluating NPC chemotherapeutic drugs.
  • Multivariate statistical analysis enhances the capability of LTRS for precise cellular classification and drug response assessment.