JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE) ›› 2021, Vol. 41 ›› Issue (2): 159-165.doi: 10.3969/j.issn.1674-8115.2021.02.006
• Basic research • Previous Articles Next Articles
Yan-ru MA1(), Lin-hua JI2, Tian-ying TONG1, Yu-qing YAN1, Chao-qin SHEN1, Xin-yu ZHANG1, Ying-ying CAO1, Jie HONG1, Hao-yan CHEN1(
)
Received:
2020-05-21
Online:
2021-02-28
Published:
2021-02-28
Contact:
Hao-yan CHEN
E-mail:mayanru0213@163.com;haoyanchen@shsmu.edu.cn
Supported by:
CLC Number:
Yan-ru MA, Lin-hua JI, Tian-ying TONG, Yu-qing YAN, Chao-qin SHEN, Xin-yu ZHANG, Ying-ying CAO, Jie HONG, Hao-yan CHEN. Establishment and validation of prognostic prediction model of colorectal cancer based on single-cell RNA sequencing[J]. JOURNAL OF SHANGHAI JIAOTONG UNIVERSITY (MEDICAL SCIENCE), 2021, 41(2): 159-165.
Item | Training set (n=293) | Validation set (n=295) | P value① |
---|---|---|---|
Gender/n (%) | 0.406 | ||
Male | 160 (54.61) | 145 (49.20) | |
Female | 133 (45.39) | 150 (50.80) | |
Age/year | 66.86±12.77 | 65.43±12.96 | 0.178 |
T stage/n (%) | 0.478 | ||
T1 | 9 (3.07) | 13 (4.41) | |
T2 | 56 (19.11) | 45 (15.25) | |
T3 | 198 (67.58) | 201 (68.14) | |
T4 | 30 (10.24) | 36 (12.20) | |
N stage/n (%) | 0.592 | ||
N0② | 173 (59.05) | 165 (44.93) | |
N1③ | 119 (40.61) | 129 (43.73) | |
NA④ | 1 (0.34) | 1 (0.34) | |
M stage/n (%) | 0.342 | ||
M0 | 220 (75.09) | 217 (73.56) | |
M1 | 36 (12.29) | 46 (15.59) | |
NA④ | 37 (12.62) | 32 (10.85) | |
Score | -0.02±0.16 | 0.04±0.17 | 0.222 |
Tab 1 Clinical characteristics of patients with CRC
Item | Training set (n=293) | Validation set (n=295) | P value① |
---|---|---|---|
Gender/n (%) | 0.406 | ||
Male | 160 (54.61) | 145 (49.20) | |
Female | 133 (45.39) | 150 (50.80) | |
Age/year | 66.86±12.77 | 65.43±12.96 | 0.178 |
T stage/n (%) | 0.478 | ||
T1 | 9 (3.07) | 13 (4.41) | |
T2 | 56 (19.11) | 45 (15.25) | |
T3 | 198 (67.58) | 201 (68.14) | |
T4 | 30 (10.24) | 36 (12.20) | |
N stage/n (%) | 0.592 | ||
N0② | 173 (59.05) | 165 (44.93) | |
N1③ | 119 (40.61) | 129 (43.73) | |
NA④ | 1 (0.34) | 1 (0.34) | |
M stage/n (%) | 0.342 | ||
M0 | 220 (75.09) | 217 (73.56) | |
M1 | 36 (12.29) | 46 (15.59) | |
NA④ | 37 (12.62) | 32 (10.85) | |
Score | -0.02±0.16 | 0.04±0.17 | 0.222 |
Variable | OR(95%CI) | P value |
---|---|---|
Age | 1.01 (0.99?1.03) | 0.406 |
Gender | 0.93 (0.54?1.57) | 0.779 |
T stage | 2.82 (1.73?4.82) | 0.000 |
N stage | 2.15 (1.55?3.00) | 0.000 |
M stage | 6.47 (3.09?13.95) | 0.000 |
Score | 35.35 (6.27?241.99) | 0.000 |
Tab 2 Univariate Logistic regression analysis of scores and clinical candidate predictors in training set
Variable | OR(95%CI) | P value |
---|---|---|
Age | 1.01 (0.99?1.03) | 0.406 |
Gender | 0.93 (0.54?1.57) | 0.779 |
T stage | 2.82 (1.73?4.82) | 0.000 |
N stage | 2.15 (1.55?3.00) | 0.000 |
M stage | 6.47 (3.09?13.95) | 0.000 |
Score | 35.35 (6.27?241.99) | 0.000 |
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