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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SGK2 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
13.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
62.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
45.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
42.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
40.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
40.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
39.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
36.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
35.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
35.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
32.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
32.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
31.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
30.1
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
30.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
30.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
29.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
28.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
27.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
27.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
26.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
26.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
26.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
26.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
25.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
25.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
25.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
25.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
24.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
24.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
23.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
23.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
23.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
22.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
22.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
22.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
22.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
22.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
22.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
22.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
21.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
21.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
21.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
21.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
21.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
21.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
20.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
20.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
20.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
19.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
19.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
19.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
19.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
18.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
18.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
18.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
18.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
18.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
17.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
17.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.6
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
17.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
17.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
16.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
16.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
16.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
16.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
16.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
16.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
16.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
16.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
15.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
15.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
15.7
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
15.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
15.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
15.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
14.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
14.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
14.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
14.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
13.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
13.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
13.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
13.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
13.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
13.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
13.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
12.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
12.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
12.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
12.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
12.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
12.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
12.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
12.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
12.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
12.1
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
12.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
11.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
11.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
11.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
11.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.6
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
11.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
11.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
11.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
11.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
10.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
10.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
9.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
9.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
9.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
9.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
9.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
9.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
9.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
9.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
8.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
8.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
8.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
8.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
7.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
7.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
7.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
7.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
7.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
7.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
6.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
6.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
6.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
6.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
6.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
6.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
6.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
6.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
6.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
6.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
5.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
5.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
5.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
5.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
5.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
5.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
5.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
5.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
5.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
5.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
5.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
5.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
4.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
4.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
4.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
4.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
4.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
4.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
3.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
3.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
3.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
3.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
3.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
3.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
3.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
3.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
3.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
3.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
2.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
0.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
0.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
0.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
0.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
0.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
0.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
0.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
0.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SGK2 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
28.2
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
293.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
177.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
155.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
135.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
98.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
97.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
96.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
96.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
86.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
84.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
81.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
80.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
80.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
79.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
78.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
77.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
76.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
74.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
73.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
72.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
72.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
71.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
70.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
68.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
67.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
64.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
64.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
63.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
62.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
62.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
61.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
60.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
59.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
59.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
58.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
58.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
57.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
56.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
56.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
56.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
54.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
54.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
54.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
53.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
53.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
53.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
52.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
52.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
52.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
52.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
51.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
51.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
51.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
50.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
50.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
49.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
49.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
49.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
48.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
48.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
47.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
47.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
47.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
47.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
46.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
46.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
46.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
46.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
46.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
46.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
45.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
45.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
45.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
44.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
44.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
44.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
44.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
44.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
43.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
43.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
43.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
42.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
42.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
42.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
42.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
42.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
42.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
42.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
42.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
41.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
41.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
41.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
41.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
40.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
40.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
40.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
40.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
40.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
40.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
40.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
40.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
39.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
39.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
39.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
39.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
39.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
38.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
38.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
38.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
38.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
38.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
38.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
38.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
38.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
38.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
38.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
37.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
37.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
37.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
37.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
37.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
37.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
37.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
36.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
36.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
36.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
36.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
36.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
35.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
35.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
35.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
34.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
34.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
34.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
34.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
34.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
34.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
33.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
33.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
33.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
33.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
33.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
32.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
32.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
32.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
31.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
31.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
31.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
31.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
31.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
31.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
31.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
30.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
30.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
30.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
30.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
30.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
30.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
29.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
29.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
29.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
29.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
29.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
29.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
29.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
28.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
28.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
28.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
28.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
28.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
28.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
28.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
28.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
28.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
28.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
28.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
28.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
28.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
28.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
27.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
27.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
27.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
27.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
27.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
27.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
27.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
27.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
27.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
27.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
27.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
26.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
26.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
26.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
26.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
26.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
26.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
26.5
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
26.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
26.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
26.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
25.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
25.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
25.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
25.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
25.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
25.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
25.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
25.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
25.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
25.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
24.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
24.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
24.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
24.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
24.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
24.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
24.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
24.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
24.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
24.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
24.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
24.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
24.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
23.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
23.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
23.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
23.6
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
23.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
23.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
23.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
23.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
23.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
23.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
23.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
23.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
22.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
22.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
22.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
22.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
22.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
22.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
22.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
22.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
22.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
21.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
21.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
21.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
21.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
21.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
21.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
21.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
21.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
20.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
20.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
20.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
20.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
20.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
20.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
20.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
20.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
20.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
20.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
20.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
20.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
19.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
19.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
19.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
19.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
19.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
19.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
19.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
19.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
18.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
18.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
18.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
18.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
18.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
18.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
18.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
18.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
18.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
18.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
18.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
18.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
18.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
18.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
18.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
17.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
17.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
17.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
17.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
17.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
17.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
17.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
17.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
16.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
16.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
16.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
16.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
16.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
16.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
16.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
16.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
16.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
16.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
15.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
15.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
15.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
15.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
15.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
15.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
15.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
15.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
15.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
15.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
15.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
14.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
14.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
14.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
14.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
14.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
14.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
14.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
14.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
14.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
14.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
14.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
14.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
14.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
14.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
14.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
14.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
13.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
13.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
13.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
13.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
13.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
13.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
13.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
13.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
13.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
13.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
13.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
12.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
12.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
12.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
12.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
12.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
12.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
12.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
12.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
12.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
12.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
12.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
12.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
11.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
11.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
11.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
11.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
11.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
11.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
11.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
11.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
10.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
10.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
10.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
10.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
10.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
10.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
10.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
10.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
10.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
10.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
10.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
10.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
9.9
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
9.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
9.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
9.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
9.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
9.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
9.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
9.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
9.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
9.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
8.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
8.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
8.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
8.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
8.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
8.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
8.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
7.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
7.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
7.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
7.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
7.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
7.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
7.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
7.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
7.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
7.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
6.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
6.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
6.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
6.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
6.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
6.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
6.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
6.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
6.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
6.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
6.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
5.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
5.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
5.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
5.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
5.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
4.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
4.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
4.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
4.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
4.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
4.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
4.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
4.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
4.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
4.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
3.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
3.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
3.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
3.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
3.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
3.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
3.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
3.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
3.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
3.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
3.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
2.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
2.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
0.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
0.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
0.7
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SGK2 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
11.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
32.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
31.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
27.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
27.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
22.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
21.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
21.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
21.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
20.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
20.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
20.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
19.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
19.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
18.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
17.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
17.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
17.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
17.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
16.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
16.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
16.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
16.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
15.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
15.3
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
14.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
14.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
13.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
12.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
12.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
11.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
11.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
11.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
11.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
11.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
11.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
10.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
10.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
10.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
9.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
9.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
8.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
8.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
8.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
8.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
7.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
7.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
7.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
7.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
6.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
6.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
6.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
5.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
5.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
5.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
5.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
4.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
4.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
4.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
3.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
3.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
3.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
3.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
3.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
3.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SGK2 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
30.8
Number of samples
207
Samples
Sample
Description
TPM
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
149.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
100.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
96.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
88.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
75.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
69.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
68.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
64.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
63.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
60.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
59.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
58.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
58.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
57.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
55.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
53.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
53.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
52.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
52.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
52.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
49.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
48.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
48.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
47.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
47.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
46.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
45.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
45.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
45.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
44.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
44.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
43.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
43.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
43.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
43.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
42.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
42.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
42.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
42.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
41.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
41.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
41.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
40.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
40.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
40.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
39.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
39.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
39.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
39.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
39.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
39.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
38.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
38.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
37.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
36.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
36.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
36.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
36.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
35.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
35.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
34.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
34.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
34.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
34.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
33.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
33.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
33.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
32.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
32.4
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
32.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
31.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
31.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
31.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
31.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
31.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
30.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
30.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
30.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
30.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
29.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
28.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
28.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
28.5
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
28.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
28.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
28.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
28.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
28.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
28.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
27.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
27.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
26.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
26.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
26.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
25.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
25.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
25.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
25.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
25.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
25.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
25.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
25.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
25.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
24.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
24.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
24.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
23.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
23.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
23.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
23.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
22.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
22.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
22.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
22.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
22.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
21.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
21.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
21.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
21.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
21.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
21.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
20.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
20.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
20.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
20.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
20.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
20.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
19.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
19.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
19.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
19.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
18.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
18.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
18.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
17.7
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
17.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
17.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
17.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
16.9
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
16.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
16.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
16.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
16.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
16.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
16.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
15.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
15.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
15.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
15.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
15.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
15.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
14.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
14.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
14.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
13.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
13.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
13.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
13.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
12.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
12.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
12.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
12.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
12.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
12.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
11.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
11.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
11.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
11.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
10.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
10.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
9.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
9.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
8.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
8.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
7.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
7.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
7.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
6.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
4.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
2.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
1.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
1.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.9
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.8
1c070992-647b-4173-a481-904c4d_D2
Normal
0.8
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.6
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
8cc7e656-0152-4359-8566-0581c3
Tumor
0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.6
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-1.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
