TY - JOUR
T1 - Establishing Monoclonal Gammopathy of Undetermined Significance as an Independent Pre-Disease State of Multiple Myeloma Using Raman Spectroscopy, Dynamical Network Biomarker Theory, and Energy Landscape Analysis
AU - Yonezawa, Shota
AU - Haruki, Takayuki
AU - Koizumi, Keiichi
AU - Taketani, Akinori
AU - Oshima, Yusuke
AU - Oku, Makito
AU - Wada, Akinori
AU - Sato, Tsutomu
AU - Masuda, Naoki
AU - Tahara, Jun
AU - Fujisawa, Noritaka
AU - Koshiyama, Shota
AU - Kadowaki, Makoto
AU - Kitajima, Isao
AU - Saito, Shigeru
N1 - Publisher Copyright:
© 2024 by the authors.
PY - 2024/2
Y1 - 2024/2
N2 - Multiple myeloma (MM) is a cancer of plasma cells. Normal (NL) cells are considered to pass through a precancerous state, such as monoclonal gammopathy of undetermined significance (MGUS), before transitioning to MM. In the present study, we acquired Raman spectra at three stages—834 NL, 711 MGUS, and 970 MM spectra—and applied the dynamical network biomarker (DNB) theory to these spectra. The DNB analysis identified MGUS as the unstable pre-disease state of MM and extracted Raman shifts at 1149 and 1527–1530 (Formula presented.) as DNB variables. The distribution of DNB scores for each patient showed a significant difference between the mean values for MGUS and MM patients. Furthermore, an energy landscape (EL) analysis showed that the NL and MM stages were likely to become stable states. Raman spectroscopy, the DNB theory, and, complementarily, the EL analysis will be applicable to the identification of the pre-disease state in clinical samples.
AB - Multiple myeloma (MM) is a cancer of plasma cells. Normal (NL) cells are considered to pass through a precancerous state, such as monoclonal gammopathy of undetermined significance (MGUS), before transitioning to MM. In the present study, we acquired Raman spectra at three stages—834 NL, 711 MGUS, and 970 MM spectra—and applied the dynamical network biomarker (DNB) theory to these spectra. The DNB analysis identified MGUS as the unstable pre-disease state of MM and extracted Raman shifts at 1149 and 1527–1530 (Formula presented.) as DNB variables. The distribution of DNB scores for each patient showed a significant difference between the mean values for MGUS and MM patients. Furthermore, an energy landscape (EL) analysis showed that the NL and MM stages were likely to become stable states. Raman spectroscopy, the DNB theory, and, complementarily, the EL analysis will be applicable to the identification of the pre-disease state in clinical samples.
KW - Raman spectroscopy
KW - dynamical network biomarker theory
KW - energy landscape analysis
KW - monoclonal gammopathy of undetermined significance
KW - multiple myeloma
UR - http://www.scopus.com/inward/record.url?scp=85184705316&partnerID=8YFLogxK
U2 - 10.3390/ijms25031570
DO - 10.3390/ijms25031570
M3 - 学術論文
C2 - 38338848
AN - SCOPUS:85184705316
SN - 1661-6596
VL - 25
JO - International Journal of Molecular Sciences
JF - International Journal of Molecular Sciences
IS - 3
M1 - 1570
ER -
