Detecting Temporal and Spatial Effects of Epithelial Cancers with Raman Spectroscopy

Keller, Matthew D.; Kanter, Elizabeth M.; Lieber, Chad A.; Majumder, Shovan K.; Hutchings, Joanne; Ellis, Darrel L.; Beaven, Richard B.; Stone, Edwin M.; Mahadevan‐Jansen, Anita

doi:10.1155/2008/230307

Cited by 35 publications

(31 citation statements)

References 50 publications

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“…Thus, the motivation behind this work: if a tumor causes changes to surrounding tissues that can be detected by the Raman technique, then presumably that tumor could be detected by performing optical biopsy of an accessible tissue region. Such capabilities have been indirectly indicated in previous clinical Raman studies, including those of the author and former colleagues [9,10]. In this report, we confirm the Raman capacity to detect changes in normal tissues caused by adjacent tumor.…”

Section: Discussionsupporting

confidence: 86%

Cancer field effects in normal tissues revealed by Raman spectroscopy

Lieber¹,

Nethercott²,

Kabeer³

2010

Biomed. Opt. Express

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It has been demonstrated that the presence of cancer results in detectable changes to uninvolved tissues, collectively termed cancer field effects (CFE). In this study, we directly assessed the ability of Raman microspectroscopy to detect CFE via in-vitro study of organotypic tissue rafts approximating human skin. Raman spectra were measured from both epidermis and dermis after transfer of the rafts to dishes containing adherent cultures of either normal human fibroblasts or fibrosarcoma (HT1080) cells. Principal components analyses allowed discrimination between the groups with 86% classification accuracy in the epidermis and 94% in the dermis. These results encourage further study to evaluate the Raman capacity for detecting CFE as a possible tool for noninvasive screening for tumor presence.

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Section: Discussionsupporting

confidence: 86%

Cancer field effects in normal tissues revealed by Raman spectroscopy

Lieber¹,

Nethercott²,

Kabeer³

2010

Biomed. Opt. Express

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“…The effect seems to be limited to 50–100 μm close to the tumor. We must emphasize that this is a molecular measure of the “field effect” as opposed to prior studies using histological,57 optical61 or specific gene/protein62 measure of the effect. Reconciling the various data on model systems, such as the ones proposed here, would likely prove beneficial.…”

Section: Resultsmentioning

confidence: 99%

Characterization of tumor progression in engineered tissue using infrared spectroscopic imaging

Kong

Reddy

Bhargava

2010

Analyst

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Engineered tissues can provide models for imaging and disease progression and the use of such models is becoming increasingly prevalent. While structural characterization of these systems is documented, a combination of biochemical and structural knowledge is often helpful. Here, we apply Fourier transform infrared (FT-IR) spectroscopic imaging to examine an engineered tissue model of melanoma. We first characterize the biochemical properties and spectral changes in different layers of growing skin. Second, we introduce malignant melanocytes to simulate tumor formation and growth. Both cellular changes associated with tumor formation and growth can be observed. In particular, chemical changes associated with tumor-stromal interactions are observed during the course of tumor growth and appear to influence a 50-100 μm region. The development of this analytical approach combining engineered tissue with spectroscopy, imaging and computation will allow for quality control and standardization in tissue engineering and novel scientific insight in cancer progression.

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“…This work further demonstrates the sensitivity of Raman scattering to subtle biochemical changes which may precede macroscopic disease. 178,179 Another group reported the discrimination of normal oral tissue from three separate lesion categories with per-class accuracies ranging from 82–89% in 199 patients and 96% sensitivity and 99% specificities for normal versus malignant and 99% and 98% respectively, for normal versus potentially malignant. 180 One variability study of age and tobacco-related pathological change for oral cancer and precancer demonstrated sensitivity to age-related changes in Raman spectra, however the inclusion of this diverse control population had no impact on classification of normal and abnormal conditions.…”

Section: Clinical Applications Of Raman Spectroscopymentioning

confidence: 99%

Clinical instrumentation and applications of Raman spectroscopy

2016

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Clinical diagnostic devices provide new sources of information that give insight about the state of health which can then be used to manage patient care. These tools can be as simple as an otoscope to better visualize the ear canal or as complex as a wireless capsule endoscope to monitor the gastrointestinal tract. It is with tools such as these that medical practitioners can determine when a patient is healthy and to make an appropriate diagnosis when he/she is not. The goal of diagnostic medicine then is to efficiently determine the presence and cause of disease in order to provide the most appropriate intervention. The earliest form of medical diagnostics relied on the eye – direct visual observation of the interaction of light with the sample. This technique was espoused by Hippocrates in his 5th century BCE work Epidemics, in which the pallor of a patient’s skin and the coloring of the bodily fluids could be indicative of health. In the last hundred years, medical diagnosis has moved from relying on visual inspection to relying on numerous technological tools that are based on various types of interaction of the sample with different types of energy – light, ultrasound, radio waves, X-rays etc. Modern advances in science and technology have depended on enhancing technologies for the detection of these interactions for improved visualization of human health. Optical methods have been focused on providing this information in the micron to millimeter scale while ultrasound, X-ray, and radio waves have been key in aiding in the millimeter to centimeter scale. While a few optical technologies have achieved the status of medical instruments, many remain in the research and development phase despite persistent efforts by many researchers in the translation of these methods for clinical care. Of these, Raman spectroscopy has been described as a sensitive method that can provide biochemical information about tissue state while maintaining the capability of delivering this information in real-time, non-invasively, and in an automated manner. This review presents the various instrumentation considerations relevant to the clinical implementation of Raman spectroscopy and reviews a subset of interesting applications that have successfully demonstrated the efficacy of this technique for clinical diagnostics and monitoring in large (n ≥ 50) in vivo human studies.

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Detecting Temporal and Spatial Effects of Epithelial Cancers with Raman Spectroscopy

Cited by 35 publications

References 50 publications

Cancer field effects in normal tissues revealed by Raman spectroscopy

Cancer field effects in normal tissues revealed by Raman spectroscopy

Characterization of tumor progression in engineered tissue using infrared spectroscopic imaging

Clinical instrumentation and applications of Raman spectroscopy

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