Literature DB >> 24496495

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

Xiaohong Bi1, Brent Rexer2, Carlos L Arteaga2, Mingsheng Guo3, Anita Mahadevan-Jansen4.   

Abstract

The overexpression of human epidermal growth factor receptor 2 (HER2) is associated with increased breast cancer recurrence and worse prognosis. Effective treatments such as trastuzumab and lapatinib for patients with HER2 overexpression target the blockade of HER2 signaling activities but are often limited by the emergence of acquired drug resistance. This study applied Raman spectroscopy to differentially identify the amplification status of HER2 in cells and to characterize the biochemical composition of lapatinib resistant and sensitive HER2+ breast cancer cells in response to the drug. Raman spectra from BT474 (HER2+ breast cancer cell), MCF-10A (HER2- control), and HER2+ MCF-10A (HER2+ control) were analyzed using lasso and elastic-net regularized generalized linear models (glmnet) for multivariate statistical analysis and were discriminated to groups of different HER2 expression status with an overall 99% sensitivity and specificity. Enhanced lipid content and decreased proteome were observed in HER2+ cells. With lapatinib treatment, lapatinib-resistant breast cancer cells demonstrated sustained lipogenesis compared with the sensitive cells.

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Year:  2014        PMID: 24496495      PMCID: PMC3913568          DOI: 10.1117/1.JBO.19.2.025001

Source DB:  PubMed          Journal:  J Biomed Opt        ISSN: 1083-3668            Impact factor:   3.170


  47 in total

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3.  Comparison of autofluorescence, diffuse reflectance, and Raman spectroscopy for breast tissue discrimination.

Authors:  Shovan K Majumder; Matthew D Keller; Fouad I Boulos; Mark C Kelley; Anita Mahadevan-Jansen
Journal:  J Biomed Opt       Date:  2008 Sep-Oct       Impact factor: 3.170

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5.  Near infrared Raman spectra of human brain lipids.

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10.  Phosphoproteomic mass spectrometry profiling links Src family kinases to escape from HER2 tyrosine kinase inhibition.

Authors:  B N Rexer; A-J L Ham; C Rinehart; S Hill; N de Matos Granja-Ingram; A M González-Angulo; G B Mills; B Dave; J C Chang; D C Liebler; C L Arteaga
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2.  Small interfering RNA-mediated knockdown of fatty acid synthase attenuates the proliferation and metastasis of human gastric cancer cells via the mTOR/Gli1 signaling pathway.

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3.  Distinguishing metastatic triple-negative breast cancer from nonmetastatic breast cancer using second harmonic generation imaging and resonance Raman spectroscopy.

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4.  Iron-binding cellular profile of transferrin using label-free Raman hyperspectral imaging and singular value decomposition (SVD).

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5.  Raman-based detection of hydroxyethyl starch in kidney allograft biopsies as a potential marker of allograft quality in kidney transplant recipients.

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6.  In vivo imaging of the tumor and its associated microenvironment using combined CARS / 2-photon microscopy.

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Journal:  Intravital       Date:  2015-06-08

7.  Evaluation of aromatic amino acids as potential biomarkers in breast cancer by Raman spectroscopy analysis.

Authors:  Shaymus Contorno; Richard E Darienzo; Rina Tannenbaum
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8.  Surface-Enhanced Raman Spectroscopy Characterization of Breast Cell Phenotypes: Effect of Nanoparticle Geometry.

Authors:  Richard E Darienzo; Jingming Wang; Olivia Chen; Maurinne Sullivan; Tatsiana Mironava; Hyungjin Kim; Rina Tannenbaum
Journal:  ACS Appl Nano Mater       Date:  2019-10-20

9.  Overexpression of fatty acid synthase predicts a poor prognosis for human gastric cancer.

Authors:  Jiangman Duan; Li Sun; Hongxiang Huang; Zhenzhen Wu; Lin Wang; Wangjun Liao
Journal:  Mol Med Rep       Date:  2016-02-17       Impact factor: 2.952

10.  Multiplex coherent anti-Stokes Raman scattering microspectroscopy detection of lipid droplets in cancer cells expressing TrkB.

Authors:  Tiffany Guerenne-Del Ben; Vincent Couderc; Ludovic Duponchel; Vincent Sol; Philippe Leproux; Jean-Michel Petit
Journal:  Sci Rep       Date:  2020-10-07       Impact factor: 4.379

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