Ito H, Uragami N, Miyazaki T, Yang W, Issha K, Matsuo K, Kimura S, Arai Y, Tokunaga H, Okada S, Kawamura M, Yokoyama N, Kushima M, Inoue H, Fukagai T, Kamijo Y. Highly accurate colorectal cancer prediction model based on Raman spectroscopy using patient serum. World J Gastrointest Oncol 2020; 12(11): 1311-1324 [PMID: 33250963 DOI: 10.4251/wjgo.v12.i11.1311]
Corresponding Author of This Article
Hiroaki Ito, MD, PhD, Associate Professor, Department of Surgery, Digestive Disease Center, Showa University Koto Toyosu Hospital, 5-1-38 Toyosu, Koto-ku, Tokyo 135-8577, Japan. h.ito@med.showa-u.ac.jp
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Study
Open-Access Policy of This Article
This article is an open-access article which was selected by an in-house editor and fully peer-reviewed by external reviewers. It is distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/
World J Gastrointest Oncol. Nov 15, 2020; 12(11): 1311-1324 Published online Nov 15, 2020. doi: 10.4251/wjgo.v12.i11.1311
Table 1 Patients and evaluations
Parameters
n = 184
Sex
Male
110
Female
74
Age in yr, mean (range)
56.9 (20-80)
Gastroscopy
100
Computed tomography
51
Ultrasonography
5
Magnetic resonance imaging
5
Table 2 Main diagnosis
Main diagnosis
n = 184
Cancer
12
Colon, TNM stage 0-II
5
Colon, TNM stage III or IV
3
Rectum, TNM stage III or IV
3
Colon and rectum, double, TNM stage IIA
1
Malignant potential tumor
2
Rectal neuroendocrine tumor
2
Adenoma
68
Hyperplastic polyp
18
Other diseases
54
Leiomyoma
1
Nonspecific colitis
9
Ulcerative colitis
2
Colon diverticulum
24
Nonspecific ileitis
3
Internal hemorrhoids
15
No specific findings
30
Table 3 Assignment of serum sample
Raman shift, cm-1
Assignments
Nucleic acids
Proteins
Lipids
A1
611-631
Phenylalanine
A2
700-720
Cholesterol, C-N-C
A3
751-771
DNA, pyrimidines
Tryptophan
A4
830-859
Tyrosine, pro C-C
A5
993-1013
Phenylalanine
A6
1060-1080
Skeletal C-C, C-N
Skeletal C-C
A7
1091-1111
PO2 stretching, DNA
Skeletal C-C
A8
1123-1143
Skeletal C-C, C-N
Skeletal C-C
A9
1244-1264
Adenine, thymine, cytosine
Amide III
=CH, CH2
A10
1275-1295
Amide III
A11
1322-1343
Guanine, adenine
CH3CH2
CH
A12
1408-1428
COO-
A13
1448-1468
CH2
CH2
A14
1596-1616
Cytosine
Phenylalanine, tyrosine
A15
1647-1667
Thymine, guanine, cytosine
Amide I
C=C
Table 4 Boosted tree model for the prediction of colorectal disease
Cancer
Adenoma
Hyperplastic polyp
NET
Measure
Training
Entropy R-square
0.9977
0.9269
0.9947
0.9985
Generalized R-square
0.9982
0.9630
0.9962
0.9986
Raman shift, cm-1
Effect
A1
611-631
0.0176
0.0285
0.2404
0.0148
A2
700-720
0.0191
0.0636
0.0476
0.0062
A3
751-771
0.1716
0.0479
0.0274
0.0182
A4
830-859
0.0580
0.2008
0.1936
0.0246
A5
993-1013
0.0084
0.0478
0.0054
0.0324
A6
1060-1080
0.0052
0.0555
0.0407
0.0000
A7
1091-1111
0.0686
0.0370
0.2886
0.0180
A8
1123-1143
0.1873
0.0722
0.0563
0.0412
A9
1244-1264
0.0481
0.0548
0.0129
0.0022
A10
1275-1295
0.2291
0.1146
0.0224
0.0000
A11
1322-1343
0.0505
0.0463
0.0149
0.7714
A12
1408-1428
0.0663
0.0551
0.0132
0.0662
A13
1448-1468
0.0089
0.0066
0.0041
0.0000
A14
1596-1616
0.0145
0.0758
0.0293
0.0049
A15
1647-1667
0.0470
0.0936
0.0033
0.0000
Citation: Ito H, Uragami N, Miyazaki T, Yang W, Issha K, Matsuo K, Kimura S, Arai Y, Tokunaga H, Okada S, Kawamura M, Yokoyama N, Kushima M, Inoue H, Fukagai T, Kamijo Y. Highly accurate colorectal cancer prediction model based on Raman spectroscopy using patient serum. World J Gastrointest Oncol 2020; 12(11): 1311-1324