The Clinical Application of Raman Spectroscopy for Breast Cancer Detection

Raman spectroscopy has been widely used as an important clinical tool for real-time in vivo cancer diagnosis. Raman information can be obtained from whole organisms and tissues, at the cellular level and at the biomolecular level. The aim of this paper is to review the newest developments of Raman spectroscopy in the field of breast cancer diagnosis and treatment. Raman spectroscopy can distinguish malignant tissues from noncancerous/normal tissues and can assess tumor margins or sentinel lymph nodes during an operation. At the cellular level, Raman spectra can be used to monitor the intracellular processes occurring in blood circulation. At the biomolecular level, surface-enhanced Raman spectroscopy techniques may help detect the biomarker on the tumor surface as well as evaluate the efficacy of anticancer drugs. Furthermore, Raman images reveal an inhomogeneous distribution of different compounds, especially proteins, lipids, microcalcifications, and their metabolic products, in cancerous breast tissues. Information about these compounds may further our understanding of the mechanisms of breast cancer.

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In vivo Raman spectroscopy for breast cancer: diagnosis in animal model

10.1117/12.760089 ◽

2008 ◽

Author(s):

R. Bitar ◽

M. A. Martins ◽

D. Ribeiro ◽

C. Carvalho ◽

E. A. P. Santos ◽

...

Keyword(s):

Breast Cancer ◽

Raman Spectroscopy ◽

Animal Model ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

In Vivo Raman Spectroscopy

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Raman Spectroscopy and Fluorescence Photon Migration for Breast Cancer Diagnosis and Imaging

Photochemistry and Photobiology ◽

10.1111/j.1751-1097.1998.tb05160.x ◽

1998 ◽

Vol 67 (1) ◽

pp. 15-22 ◽

Cited By ~ 106

Author(s):

Ramasamy Manoharan ◽

Karen Shafer ◽

Lev Perelman ◽

Jun Wu ◽

Kun Chen ◽

...

Keyword(s):

Breast Cancer ◽

Raman Spectroscopy ◽

Cancer Diagnosis ◽

Breast Cancer Diagnosis ◽

Photon Migration ◽

Fluorescence Photon

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Nanoparticle surface-enhanced Raman spectroscopy as a noninvasive, label-free tool to monitor hematological malignancy

Nanomedicine ◽

10.2217/nnm-2021-0076 ◽

2021 ◽

Vol 16 (24) ◽

pp. 2175-2188

Author(s):

Stacy Grieve ◽

Nagaprasad Puvvada ◽

Angkoon Phinyomark ◽

Kevin Russell ◽

Alli Murugesan ◽

...

Keyword(s):

Raman Spectroscopy ◽

Hematological Malignancies ◽

Residual Disease ◽

Surface Enhanced Raman Spectroscopy ◽

Machine Learning Algorithms ◽

Label Free ◽

Clinical Tool ◽

Surface Enhanced ◽

Surface Enhanced Raman ◽

A Cell

Aim: Monitoring minimal residual disease remains a challenge to the effective medical management of hematological malignancies; yet surface-enhanced Raman spectroscopy (SERS) has emerged as a potential clinical tool to do so. Materials & methods: We developed a cell-free, label-free SERS approach using gold nanoparticles (nanoSERS) to classify hematological malignancies referenced against two control cohorts: healthy and noncancer cardiovascular disease. A predictive model was built using machine-learning algorithms to incorporate disease burden scores for patients under standard treatment upon. Results: Linear- and quadratic-discriminant analysis distinguished three cohorts with 69.8 and 71.4% accuracies, respectively. A predictive nanoSERS model correlated (MSE = 1.6) with established clinical parameters. Conclusion: This study offers a proof-of-concept for the noninvasive monitoring of disease progression, highlighting the potential to incorporate nanoSERS into translational medicine.

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Surface-Enhanced Raman Spectroscopy for Cancer Immunotherapy Applications: Opportunities, Challenges, and Current Progress in Nanomaterial Strategies

Nanomaterials ◽

10.3390/nano10061145 ◽

2020 ◽

Vol 10 (6) ◽

pp. 1145 ◽

Cited By ~ 1

Author(s):

Shuvashis Dey ◽

Matt Trau ◽

Kevin M. Koo

Keyword(s):

Raman Spectroscopy ◽

Cancer Immunotherapy ◽

Immune Checkpoint ◽

Checkpoint Inhibitors ◽

Surface Enhanced Raman Spectroscopy ◽

Surface Enhanced ◽

Surface Enhanced Raman ◽

Checkpoint Receptors

Cancer immunotherapy encompasses a variety of approaches which target or use a patient’s immune system components to eliminate cancer. Notably, the current use of immune checkpoint inhibitors to target immune checkpoint receptors such as CTLA-4 or PD-1 has led to remarkable treatment responses in a variety of cancers. To predict cancer patients’ immunotherapy responses effectively and efficiently, multiplexed immunoassays have been shown to be advantageous in sensing multiple immunomarkers of the tumor microenvironment simultaneously for patient stratification. Surface-enhanced Raman spectroscopy (SERS) is well-regarded for its capabilities in multiplexed bioassays and has been increasingly demonstrated in cancer immunotherapy applications in recent years. This review focuses on SERS-active nanomaterials in the modern literature which have shown promise for enabling cancer patient-tailored immunotherapies, including multiplexed in vitro and in vivo immunomarker sensing and imaging, as well as immunotherapy drug screening and delivery.

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