Enhanced characterization of breast cancer phenotypes using Raman micro-spectroscopy on stainless steel substrate.
Giju ThomasSean T FitzgeraldRekha GautamFuyao ChenEzekiel HaugenPratheepa Kumari RasiahWilson R AdamsAnita Mahadevan-JansenPublished in: Analytical methods : advancing methods and applications (2023)
Biochemical insights into varying breast cancer (BC) phenotypes can provide a fundamental understanding of BC pathogenesis, while identifying novel therapeutic targets. Raman spectroscopy (RS) can gauge these biochemical differences with high specificity. For routine RS, cells are traditionally seeded onto calcium fluoride (CaF 2 ) substrates that are costly and fragile, limiting its widespread adoption. Stainless steel has been interrogated previously as a less expensive alternative to CaF 2 substrates, while reporting increased Raman signal intensity than the latter. We sought to further investigate and compare the Raman signal quality measured from stainless steel versus CaF 2 substrates by characterizing different BC phenotypes with altered human epidermal growth factor receptor 2 (HER2) expression. Raman spectra were obtained on stainless steel and CaF 2 substrates for HER2 negative cells - MDA-MB-231, MDA-MB-468 and HER2 overexpressing cells - AU565, SKBr3. Upon analyzing signal-to-noise ratios (SNR), stainless steel provided a stronger Raman signal, improving SNR by 119% at 1450 cm -1 and 122% at 2925 cm -1 on average compared to the CaF 2 substrate. Utilizing only 22% of laser power on sample relative to the CaF 2 substrate, stainless steel still yielded improved spectral characterization over CaF 2 , achieving 96.0% versus 89.8% accuracy in BC phenotype discrimination and equivalent 100.0% accuracy in HER2 status classification. Spectral analysis further highlighted increased lipogenesis and altered metabolism in HER2 overexpressing cells, which was subsequently visualized with coherent anti-Stokes Raman scattering microscopy. Our findings demonstrate that stainless steel substrates deliver improved Raman signal and enhanced spectral characterization, underscoring its potential as a cost-effective alternative to CaF 2 for non-invasively monitoring cellular biochemical dynamics in translational cancer research.
Keyphrases
- raman spectroscopy
- induced apoptosis
- cell cycle arrest
- epidermal growth factor receptor
- optical coherence tomography
- endoplasmic reticulum stress
- signaling pathway
- machine learning
- squamous cell carcinoma
- type diabetes
- adipose tissue
- pi k akt
- magnetic resonance imaging
- metabolic syndrome
- sensitive detection
- computed tomography
- papillary thyroid
- skeletal muscle
- tyrosine kinase
- breast cancer cells
- drinking water
- advanced non small cell lung cancer
- single cell
- drug induced