Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model
dc.contributor.author | Kast, Rachel E. | en_US |
dc.contributor.author | Serhatkulu, Gulay K. | en_US |
dc.contributor.author | Cao, Alex | en_US |
dc.contributor.author | Pandya, Abhilash K. | en_US |
dc.contributor.author | Dai, Houbei | en_US |
dc.contributor.author | Thakur, Jagdish S. | en_US |
dc.contributor.author | Naik, Vaman M. | en_US |
dc.contributor.author | Naik, Ratna | en_US |
dc.contributor.author | Klein, Michael D. | en_US |
dc.contributor.author | Auner, Gregory W. | en_US |
dc.contributor.author | Rabah, Raja M. | en_US |
dc.date.accessioned | 2008-02-04T19:15:44Z | |
dc.date.available | 2009-03-04T14:20:46Z | en_US |
dc.date.issued | 2008-03 | en_US |
dc.identifier.citation | Kast, Rachel E.; Serhatkulu, Gulay K.; Cao, Alex; Pandya, Abhilash K.; Dai, Houbei; Thakur, Jagdish S.; Naik, Vaman M.; Naik, Ratna; Klein, Michael D.; Auner, Gregory W.; Rabah, Raja (2008). "Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model." Biopolymers 89(3): 235-241. <http://hdl.handle.net/2027.42/57899> | en_US |
dc.identifier.issn | 0006-3525 | en_US |
dc.identifier.issn | 1097-0282 | en_US |
dc.identifier.uri | https://hdl.handle.net/2027.42/57899 | |
dc.identifier.uri | http://www.ncbi.nlm.nih.gov/sites/entrez?cmd=retrieve&db=pubmed&list_uids=18041066&dopt=citation | |
dc.description.abstract | Raman spectroscopy shows potential in differentiating tumors from normal tissue. We used Raman spectroscopy with near-infrared light excitation to study normal breast tissue and tumors from 11 mice injected with a cancer cell line. Spectra were collected from 17 tumors, 18 samples of adjacent breast tissue and lymph nodes, and 17 tissue samples from the contralateral breast and its adjacent lymph nodes. Discriminant function analysis was used for classification with principal component analysis scores as input data. Tissues were examined by light microscopy following formalin fixation and hematoxylin and eosin staining. Discriminant function analysis and histology agreed on the diagnosis of all contralateral normal, tumor, and mastitis samples, except one tumor which was found to be more similar to normal tissue. Normal tissue adjacent to each tumor was examined as a separate data group called tumor bed. Scattered morphologically suspicious atypical cells not definite for tumor were present in the tumor bed samples. Classification of tumor bed tissue showed that some tumor bed tissues are diagnostically different from normal, tumor, and mastitis tissue. This may reflect malignant molecular alterations prior to morphologic changes, as expected in preneoplastic processes. Raman spectroscopy not only distinguishes tumor from normal breast tissue, but also detects early neoplastic changes prior to definite morphologic alteration. © 2007 Wiley Periodicals, Inc. Biopolymers 89: 235–241, 2008. This article was originally published online as an accepted preprint. The “Published Online”date corresponds to the preprint version. You can request a copy of the preprint by emailing the Biopolymers editorial office at biopolymers@wiley.com | en_US |
dc.format.extent | 297750 bytes | |
dc.format.extent | 3118 bytes | |
dc.format.mimetype | application/pdf | |
dc.format.mimetype | text/plain | |
dc.publisher | Wiley Subscription Services, Inc., A Wiley Company | en_US |
dc.subject.other | Chemistry | en_US |
dc.subject.other | Polymer and Materials Science | en_US |
dc.title | Raman spectroscopy can differentiate malignant tumors from normal breast tissue and detect early neoplastic changes in a mouse model | en_US |
dc.type | Article | en_US |
dc.rights.robots | IndexNoFollow | en_US |
dc.subject.hlbsecondlevel | Chemical Engineering | en_US |
dc.subject.hlbsecondlevel | Chemistry | en_US |
dc.subject.hlbsecondlevel | Materials Science and Engineering | en_US |
dc.subject.hlbtoplevel | Engineering | en_US |
dc.subject.hlbtoplevel | Science | en_US |
dc.description.peerreviewed | Peer Reviewed | en_US |
dc.contributor.affiliationum | Department of Natural Sciences, University of Michigan-Dearborn, Dearborn, MI | en_US |
dc.contributor.affiliationother | Department of Physics, Wayne State University, Detroit, MI ; Department of Physics, Wayne State University, Detroit, MI | en_US |
dc.contributor.affiliationother | Electrical and Computer Engineering Department, Wayne State University, Detroit, MI | en_US |
dc.contributor.affiliationother | Electrical and Computer Engineering Department, Wayne State University, Detroit, MI | en_US |
dc.contributor.affiliationother | Electrical and Computer Engineering Department, Wayne State University, Detroit, MI | en_US |
dc.contributor.affiliationother | Department of Physics, Wayne State University, Detroit, MI | en_US |
dc.contributor.affiliationother | Electrical and Computer Engineering Department, Wayne State University, Detroit, MI | en_US |
dc.contributor.affiliationother | Department of Physics, Wayne State University, Detroit, MI | en_US |
dc.contributor.affiliationother | Department of Surgery (Pediatric Surgery), Wayne State University School of Medicine and Children's Hospital of Michigan, Detroit, MI | en_US |
dc.contributor.affiliationother | Electrical and Computer Engineering Department, Wayne State University, Detroit, MI | en_US |
dc.contributor.affiliationother | Department of Pathology, Wayne State University School of Medicine and Children's Hospital of Michigan, Detroit, MI | en_US |
dc.identifier.pmid | 18041066 | |
dc.description.bitstreamurl | http://deepblue.lib.umich.edu/bitstream/2027.42/57899/1/20899_ftp.pdf | |
dc.identifier.doi | http://dx.doi.org/10.1002/bip.20899 | en_US |
dc.identifier.source | Biopolymers | en_US |
dc.owningcollname | Interdisciplinary and Peer-Reviewed |
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