Determination of HER2 amplification status in breast cancer cells using Raman spectroscopy

2010 ◽  
Author(s):  
Xiaohong Bi ◽  
Brent Rexer ◽  
Carlos L. Arteaga ◽  
Mingsheng Guo ◽  
Ming Li ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Her2 Amplification

scholarly journals Evaluating HER2 amplification status and acquired drug resistance in breast cancer cells using Raman spectroscopy

2014 ◽  
Vol 19 (2) ◽  
pp. 025001 ◽  
Author(s):  
Xiaohong Bi ◽  
Brent Rexer ◽  
Carlos L. Arteaga ◽  
Mingsheng Guo ◽  
Anita Mahadevan-Jansen
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Drug Resistance ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Her2 Amplification ◽  
Acquired Drug Resistance

scholarly journals Coarse Raman and optical diffraction tomographic imaging enable label-free phenotyping of isogenic breast cancer cells of varying metastatic potential

2020 ◽  
Author(s):  
Santosh Kumar Paidi ◽  
Vaani Shah ◽  
Piyush Raj ◽  
Kristine Glunde ◽  
Rishikesh Pandey ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Molecular Imaging ◽  
Single Cell ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Metastatic Potential ◽  
Optical Diffraction ◽  
Multivariate Curve Resolution ◽  
Label Free

AbstractIdentification of the metastatic potential represents one of the most important tasks for molecular imaging of cancer. While molecular imaging of metastases has witnessed substantial progress as an area of clinical inquiry, determining precisely what differentiates the metastatic phenotype has proven to be more elusive underscoring the need to marry emerging imaging techniques with tumor biology. In this study, we utilize both the morphological and molecular information provided by 3D optical diffraction tomography and Raman spectroscopy, respectively, to propose a label-free route for optical phenotyping of cancer cells at single-cell resolution. By using an isogenic panel of cell lines derived from MDA-MB-231 breast cancer cells that vary in their metastatic potential, we show that 3D refractive index tomograms can capture subtle morphological differences among the parental, circulating tumor cells, and lung metastatic cells. By leveraging the molecular specificity of Raman spectroscopy, we demonstrate that coarse Raman microscopy is capable of rapidly mapping a sufficient number of cells for training a random forest classifier that can accurately predict the metastatic potential of cells at a single-cell level. We also leverage multivariate curve resolution – alternating least squares decomposition of the spectral dataset to demarcate spectra from cytoplasm and nucleus, and test the feasibility of identifying metastatic phenotypes using the spectra only from the cytoplasmic and nuclear regions. Overall, our study provides a rationale for employing coarse Raman mapping to substantially reduce measurement time thereby enabling the acquisition of reasonably large training datasets that hold the key for label-free single-cell analysis and, consequently, for differentiation of indolent from aggressive phenotypes.

scholarly journals Anti-cancer effect of bee venom on human MDA-MB-231 breast cancer cells using Raman spectroscopy

2018 ◽  
Vol 9 (11) ◽  
pp. 5703 ◽  
Author(s):  
Gyeong Bok Jung ◽  
Jeong-Eun Huh ◽  
Hyo-Jung Lee ◽  
Dohyun Kim ◽  
Gi-Ja Lee ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Bee Venom ◽  
Anti Cancer

Microarray determination of Bcl-2 family protein inhibition sensitivity in breast cancer cells

2013 ◽  
Vol 238 (2) ◽  
pp. 248-256 ◽  
Author(s):  
Sandra G Hudson ◽  
Devin R Halleran ◽  
Barbara Nevaldine ◽  
Anna Shapiro ◽  
Robert E Hutchison ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Protein Inhibition ◽  
Family Protein

scholarly journals Roles of BIM induction and survivin downregulation in lapatinib-induced apoptosis in breast cancer cells with HER2 amplification

Oncogene ◽  
2011 ◽  
Vol 30 (39) ◽  
pp. 4097-4106 ◽  
Author(s):  
J Tanizaki ◽  
I Okamoto ◽  
S Fumita ◽  
W Okamoto ◽  
K Nishio ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Her2 Amplification ◽  
Induced Apoptosis

scholarly journals 3P Determination of therapeutic effects of multifunctional micelle-based nanocarriers on breast cancer cells

2021 ◽  
Vol 32 ◽  
pp. S1
Author(s):  
G.T. Ulu ◽  
N.N. Bayram ◽  
N. Abdulhadi ◽  
S. Gürdap ◽  
A. İşoğlu ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Cancer Cells ◽  
Breast Cancer Cells ◽  
Therapeutic Effects
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