Song J, Yan XX, Zhang FL, Lei YY, Ke ZY, Li F, Zhang K, He YQ, Li W, Li C, Pan YM. Unveiling the secrets of gastrointestinal mucous adenocarcinoma survival after surgery with artificial intelligence: A population-based study. World J Gastrointest Oncol 2024; 16(6): 2404-2418 [PMID: 38994138 DOI: 10.4251/wjgo.v16.i6.2404]
Corresponding Author of This Article
Yuan-Ming Pan, PhD, Cancer Research Center, Beijing Chest Hospital, Capital Medical University/Beijing Tuberculosis and Thoracic Tumor Research Institute, No. 9 Beiguan Street, Tongzhou District, Beijing 101149, China. peterfpan2020@mail.ccmu.edu.cn
Research Domain of This Article
Gastroenterology & Hepatology
Article-Type of This Article
Retrospective Cohort 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. Jun 15, 2024; 16(6): 2404-2418 Published online Jun 15, 2024. doi: 10.4251/wjgo.v16.i6.2404
Table 1 Data filtering condition
Option in SEER
Value
Database
SEER Research Plus Data, 18 registries. Nov 2020 Sub (2000-2018)
ICD-O-3 Hist/behav
8480/3: Mucinous adenocarcinoma
Primary site-labeled
C16.0-Cardia, NOS
C16.1-Fundus of stomach
C16.2-Body of stomach
C16.3-Gastric antrum
C16.4-Pylorus
C16.5-Lesser curvature of stomach NOS
C16.6-Greater curvature of stomach NOS
C16.8-Overlapping lesion of stomach
C16.9-Stomach, NOS
C17.0-Duodenum
C17.1-Jejunum
C17.2-Ileum
C17.8-Overlapping lesion of small intestine
C17.9-Small intestine, NOS
C18.0-Cecum
C18.1-Appendix
C18.2-Ascending colon
C18.3-Hepatic flexure of colon
C18.4-Transverse colon
C18.5-Splenic flexure of colon
C18.6-Descending colon
C18.7-Sigmoid colon
C18.8-Overlapping lesion of colon
C18.9-Colon, NOS
C19.9-Rectosigmoid junction
C20.9-Rectum, NOS
Other
Receive surgery and records without missing value
Table 2 Clinical features of patients, n (%)
Discovery cohort (n = 7972)
Validation cohort (n = 2392)
Test cohort (n = 1026)
Statistical test method
P value
Age
Kruskal-Wallis
0.5211
Median (IQR)
69 (58, 79)
70 (59, 79)
69 (58, 80)
Sex
Chi-square
0.4781
Female
4029 (50.54)
1219 (50.96)
539 (52.53)
Male
3943 (49.46)
1173 (49.04)
487 (47.47)
Malignant tumor history
Chi-square
0.2368
No
6217 (77.99)
1830 (76.51)
807 (78.65)
Yes
1755 (22.01)
562 (23.49)
219 (21.35)
Site
Chi-square
0.6989
Stomach
180 (2.26)
46 (1.92)
18 (1.75)
Small intestine
105 (1.32)
37 (1.55)
11 (1.07)
Cecum and appendix
2312 (29.00)
729 (30.48)
293 (28.56)
Rectum and rectosigmoid junction
1003 (12.58)
295 (12.33)
129 (12.57)
Other colon
4372 (54.84)
1285 (53.72)
575 (56.04)
T
Chi-square
0.3557
T1
265 (3.32)
75 (3.14)
27 (2.63)
T1a
2 (0.03)
2 (0.08)
0 (0.00)
T1b
16 (0.20)
4 (0.17)
1 (0.10)
T2
883 (11.08)
301 (12.58)
107 (10.43)
T3
4505 (56.51)
1331 (55.64)
591 (57.60)
T4
54 (0.68)
20 (0.84)
8 (0.78)
T4a
1323 (16.60)
356 (14.88)
173 (16.86)
T4b
924 (11.59)
303 (12.67)
119 (11.60)
N
Chi-square
0.6443
N0
4123 (51.72)
1284 (53.68)
543 (52.92)
N1
260 (3.26)
74 (3.09)
22 (2.14)
N1a
832 (10.44)
235 (9.82)
96 (9.36)
N1b
920 (11.54)
267 (11.16)
126 (12.28)
N1c
137 (1.72)
29 (1.21)
16 (1.56)
N2
104 (1.30)
31 (1.30)
13 (1.27)
N2a
654 (8.20)
208 (8.70)
99 (9.65)
N2b
898 (11.26)
255 (10.66)
107 (10.43)
N3
11 (0.14)
4 (0.17)
2 (0.19)
N3a
20 (0.25)
3 (0.13)
1 (0.10)
N3b
13 (0.16)
2 (0.08)
1 (0.10)
M
Chi-square
0.4620
M0
6689 (83.91)
2022 (84.53)
873 (85.09)
M1
96 (1.20)
22 (0.92)
10 (0.97)
M1a
563 (7.06)
162 (6.77)
79 (7.70)
M1b
624 (7.83)
186 (7.78)
64 (6.24)
Stage
Chi-square
0.8700
I
883 (11.08)
292 (12.21)
102 (9.94)
IA
10 (0.13)
3 (0.13)
0 (0.00)
IB
21 (0.26)
3 (0.13)
2 (0.19)
II
3 (0.04)
1 (0.04)
0 (0.00)
IIA
2236 (28.05)
675 (28.22)
305 (29.73)
IIB
405 (5.08)
112 (4.68)
52 (5.07)
IIC
303 (3.80)
111 (4.64)
46 (4.48)
III
2 (0.03)
1 (0.04)
0 (0.00)
IIIA
222 (2.78)
67 (2.80)
28 (2.73)
IIIB
1742 (21.85)
506 (21.15)
227 (22.12)
IIIC
862 (10.81)
251 (10.49)
111 (10.82)
IV
96 (1.20)
22 (0.92)
10 (0.97)
IVA
523 (6.56)
145 (6.06)
73 (7.12)
IVB
603 (7.56)
188 (7.86)
63 (6.14)
IVC
61 (0.77)
15 (0.63)
7 (0.68)
Tumor size (mm)
Kruskal-Wallis
0.4812
Median (IQR)
53.5 (38.0, 72.0)
53.0 (38.0, 75.0)
51.0 (40.0, 70.0)
Median (IQR)
Regional nodes positive
Kruskal-Wallis
0.4721
Median (IQR)
0 (0, 3)
0 (0, 3)
0 (0, 3)
Regional nodes examined
Kruskal-Wallis
0.4691
Median (IQR)
18 (13, 24)
18 (13, 24)
17 (13, 23)
Radiotherapy
Chi-square
0.4074
No
7231 (90.70)
2180 (91.14)
943 (91.91)
Yes
741 (9.30)
212 (8.86)
83 (8.09)
Chemotherapy
Chi-square
0.6545
No
4615 (57.89)
1378 (57.61)
608 (59.26)
Yes
3357 (42.11)
1014 (42.39)
418 (40.74)
Survival time
Kruskal-Wallis
0.2472
Median (IQR)
45 (20.00, 69.00)
45 (20.75, 69.00)
48 (21.00, 71.75)
Status
Chi-square
0.8302
Alive
4034 (50.60)
1195 (49.96)
522 (50.88)
Dead
3938 (49.40)
1197 (50.04)
504 (49.12)
Table 3 Overall performance of the model
AUC
AUC, 95%CI
Mean
Low
High
Discovery cohort
0.7433
0.7424
0.7442
Validation cohort
0.7244
0.7234
0.7254
Test cohort
0.7388
0.7378
0.7398
Table 4 Model’s performance at 1-, 3- and 5-years’ overall survival prediction
Discovery cohort
Validation cohort
Test cohort
1 yr
3 yr
5 yr
1 yr
3 yr
5 yr
1 yr
3 yr
5 yr
AUC
0.7953
0.8034
0.7971
0.7757
0.7843
0.7772
0.7938
0.7888
0.7871
AUC, 95%CI
0.7817-0.8090
0.7933-0.8136
0.7873-0.8069
0.7501-0.8012
0.7650-0.8036
0.7587-0.7958
0.7566-0.8310
0.7603-0.8173
0.7597-0.8146
Specificity
0.7688
0.7675
0.7985
0.6493
0.7260
0.7586
0.7182
0.6869
0.7296
Sensitivity
0.6742
0.6963
0.6595
0.7775
0.7242
0.6746
0.7386
0.7507
0.7127
Accuracy
0.7536
0.7421
0.7365
0.6697
0.7253
0.7203
0.7212
0.7086
0.7222
NPV
0.9250
0.8200
0.7441
0.9388
0.8234
0.7355
0.9400
0.8424
0.7655
PPV
0.3581
0.6243
0.7253
0.2964
0.5987
0.7010
0.3148
0.5527
0.6723
Citation: Song J, Yan XX, Zhang FL, Lei YY, Ke ZY, Li F, Zhang K, He YQ, Li W, Li C, Pan YM. Unveiling the secrets of gastrointestinal mucous adenocarcinoma survival after surgery with artificial intelligence: A population-based study. World J Gastrointest Oncol 2024; 16(6): 2404-2418