View in EDS HTML Full Text PDF Full Text

Breast cancer chemotherapy treatment monitoring based on serum sample Raman spectroscopy.

Saved in:
Bibliographic Details
Title: Breast cancer chemotherapy treatment monitoring based on serum sample Raman spectroscopy.
Authors: Torre-Gutiérrez, L. G. De la1 (AUTHOR), Martínez-Zérega, B. E.1 (AUTHOR) brenda.mzerega@academicos.udg.mx, Oseguera-Galindo, D. O.2 (AUTHOR), Aguilar-Lemarroy, A.3 (AUTHOR), Jave-Suárez, L. F.3 (AUTHOR), Torres-González, L. A.4 (AUTHOR), González-Solís, J. L.1 (AUTHOR)
Source: Lasers in Medical Science. Dec2022, Vol. 37 Issue 9, p3649-3659. 11p.
Abstract: In this paper, breast cancer patients were monitored throughout their chemotherapy treatments (CHT), with blood serum sample Raman spectroscopy and multivariate analysis, approximately for a year. First of all, we discriminate between healthy and clinically diagnosed breast cancer patients. Breast cancer detection in terms of sensitivity and specificity were 87.14% and 90.55% respectively. Although no shifts of peaks in mean spectrum of samples from breast cancer patients were found with respect to the mean spectrum from control patients, some peaks did show clear differences in intensity, the greatest disparities found at 509, 545, 1063, 1103, 1338, 1556, 1083 and 1449 cm− 1 are associated with amino acids and phospholipid, 1246 and 1654 cm− 1, corresponding to amide III and I, respectively. Other peaks of interest encountered at 450, 661, 890, 917 and 1405 cm− 1 are associated to glutathione. Then, 6 breast cancer patients were monitored during their chemotherapy treatments, the results were in complete correspondence with their medical records, enabling a detailed study of the evolution of each patient's cancer. A special interest arose in the possible correlation between the intensity of Raman peak, 450 cm− 1, corresponding to glutathione and evolution of cancer throughout CHT, i.e., glutathione appears to be a good candidate as breast cancer biomarker. The results confirmed that Raman spectroscopy and PCA are, not only a good support to current breast cancer detection techniques, but could also be excellent techniques to monitor more efficiently breast cancer patients undergoing CHT, using blood serum samples which are a lot less invasive than other methods. [ABSTRACT FROM AUTHOR]
Copyright of Lasers in Medical Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
Full text is not displayed to guests.
FullText Links:
  – Type: pdflink
Text:
  Availability: 1
Header DbId: egs
DbLabel: Engineering Source
An: 160480264
AccessLevel: 6
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Breast cancer chemotherapy treatment monitoring based on serum sample Raman spectroscopy.
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Torre-Gutiérrez%2C+L%2E+G%2E+De+la%22">Torre-Gutiérrez, L. G. De la</searchLink><relatesTo>1</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Martínez-Zérega%2C+B%2E+E%2E%22">Martínez-Zérega, B. E.</searchLink><relatesTo>1</relatesTo> (AUTHOR)<i> brenda.mzerega@academicos.udg.mx</i><br /><searchLink fieldCode="AR" term="%22Oseguera-Galindo%2C+D%2E+O%2E%22">Oseguera-Galindo, D. O.</searchLink><relatesTo>2</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Aguilar-Lemarroy%2C+A%2E%22">Aguilar-Lemarroy, A.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Jave-Suárez%2C+L%2E+F%2E%22">Jave-Suárez, L. F.</searchLink><relatesTo>3</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22Torres-González%2C+L%2E+A%2E%22">Torres-González, L. A.</searchLink><relatesTo>4</relatesTo> (AUTHOR)<br /><searchLink fieldCode="AR" term="%22González-Solís%2C+J%2E+L%2E%22">González-Solís, J. L.</searchLink><relatesTo>1</relatesTo> (AUTHOR)
– Name: TitleSource
  Label: Source
  Group: Src
  Data: <searchLink fieldCode="JN" term="%22Lasers+in+Medical+Science%22">Lasers in Medical Science</searchLink>. Dec2022, Vol. 37 Issue 9, p3649-3659. 11p.
– Name: Abstract
  Label: Abstract
  Group: Ab
  Data: In this paper, breast cancer patients were monitored throughout their chemotherapy treatments (CHT), with blood serum sample Raman spectroscopy and multivariate analysis, approximately for a year. First of all, we discriminate between healthy and clinically diagnosed breast cancer patients. Breast cancer detection in terms of sensitivity and specificity were 87.14% and 90.55% respectively. Although no shifts of peaks in mean spectrum of samples from breast cancer patients were found with respect to the mean spectrum from control patients, some peaks did show clear differences in intensity, the greatest disparities found at 509, 545, 1063, 1103, 1338, 1556, 1083 and 1449 cm− 1 are associated with amino acids and phospholipid, 1246 and 1654 cm− 1, corresponding to amide III and I, respectively. Other peaks of interest encountered at 450, 661, 890, 917 and 1405 cm− 1 are associated to glutathione. Then, 6 breast cancer patients were monitored during their chemotherapy treatments, the results were in complete correspondence with their medical records, enabling a detailed study of the evolution of each patient's cancer. A special interest arose in the possible correlation between the intensity of Raman peak, 450 cm− 1, corresponding to glutathione and evolution of cancer throughout CHT, i.e., glutathione appears to be a good candidate as breast cancer biomarker. The results confirmed that Raman spectroscopy and PCA are, not only a good support to current breast cancer detection techniques, but could also be excellent techniques to monitor more efficiently breast cancer patients undergoing CHT, using blood serum samples which are a lot less invasive than other methods. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
  Group: Ab
  Data: <i>Copyright of Lasers in Medical Science is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=160480264
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1007/s10103-022-03646-5
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 3649
    Titles:
      – TitleFull: Breast cancer chemotherapy treatment monitoring based on serum sample Raman spectroscopy.
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Torre-Gutiérrez, L. G. De la
      – PersonEntity:
          Name:
            NameFull: Martínez-Zérega, B. E.
      – PersonEntity:
          Name:
            NameFull: Oseguera-Galindo, D. O.
      – PersonEntity:
          Name:
            NameFull: Aguilar-Lemarroy, A.
      – PersonEntity:
          Name:
            NameFull: Jave-Suárez, L. F.
      – PersonEntity:
          Name:
            NameFull: Torres-González, L. A.
      – PersonEntity:
          Name:
            NameFull: González-Solís, J. L.
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 12
              Text: Dec2022
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-print
              Value: 02688921
          Numbering:
            – Type: volume
              Value: 37
            – Type: issue
              Value: 9
          Titles:
            – TitleFull: Lasers in Medical Science
              Type: main
ResultId 1