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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.
IGKV1-17 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
40.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
431.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
417.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
327.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
292.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
281.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
261.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
253.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
241.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
236.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
196.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
196.0
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
188.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
180.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
175.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
172.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
159.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
146.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
134.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
128.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
128.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
124.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
121.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
120.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
120.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
115.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
113.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
110.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
101.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
99.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
98.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
96.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
96.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
95.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
94.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
93.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
91.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
91.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
87.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
85.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
83.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
80.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
79.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
78.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
77.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
74.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
73.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
73.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
72.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
69.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
65.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
59.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
59.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
56.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
52.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
51.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
50.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
50.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
50.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
47.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
46.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
46.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
43.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
42.6
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
40.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
40.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
39.5
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
39.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
38.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
37.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
37.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
35.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
35.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
35.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
35.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
34.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
32.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
32.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
32.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
32.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
31.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
30.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
30.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
29.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
27.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
27.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
26.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
26.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
24.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
24.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
22.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
22.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
21.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
21.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
19.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
19.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
18.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
18.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
18.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
18.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
16.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
16.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
16.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
15.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
14.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
14.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
14.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
13.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
13.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
13.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
13.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
12.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
12.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
12.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
12.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
11.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
11.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
10.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
10.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
10.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
9.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
9.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
8.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
8.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
7.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
7.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
7.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
7.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
6.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
6.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
5.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
5.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
5.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
5.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
5.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
5.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
4.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
4.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
4.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
4.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
3.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
3.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
3.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
0.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
0.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
0.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
0.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
0.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.0
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 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.
IGKV1-17 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
77.0
Number of samples
486
Samples
Sample
Description
TPM
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
3263.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1023.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
904.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
616.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
464.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
439.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
431.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
421.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
406.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
380.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
367.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
351.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
335.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
314.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
310.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
283.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
280.3
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
265.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
262.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
253.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
244.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
243.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
213.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
213.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
200.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
198.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
195.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
193.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
193.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
193.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
192.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
192.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
189.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
186.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
179.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
179.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
176.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
175.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
173.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
171.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
168.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
168.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
168.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
168.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
166.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
164.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
163.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
161.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
161.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
160.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
156.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
154.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
150.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
150.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
149.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
145.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
144.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
143.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
142.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
141.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
139.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
137.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
133.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
132.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
131.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
130.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
130.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
130.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
128.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
126.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
126.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
124.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
124.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
123.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
123.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
122.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
122.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
120.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
119.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
116.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
115.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
115.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
114.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
111.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
110.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
110.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
108.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
107.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
106.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
105.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
104.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
104.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
104.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
103.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
102.9
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
101.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
101.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
101.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
100.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
99.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
98.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
98.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
98.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
97.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
97.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
97.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
97.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
95.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
95.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
95.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
94.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
93.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
93.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
93.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
93.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
93.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
92.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
91.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
91.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
90.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
90.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
90.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
89.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
88.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
88.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
88.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
88.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
87.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
87.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
86.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
84.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
84.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
84.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
83.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
83.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
82.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
82.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
81.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
81.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
80.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
80.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
80.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
80.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
79.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
79.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
78.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
77.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
77.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
76.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
76.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
76.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
76.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
75.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
74.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
74.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
74.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
74.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
73.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
73.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
72.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
71.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
70.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
70.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
70.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
70.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
70.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
70.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
69.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
68.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
68.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
67.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
67.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
67.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
67.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
66.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
66.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
66.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
66.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
65.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
64.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
64.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
64.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
63.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
63.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
63.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
62.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
62.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
62.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
62.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
61.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
61.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
60.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
60.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
60.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
60.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
59.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
59.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
58.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
58.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
57.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
57.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
57.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
56.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
55.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
55.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
53.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
53.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
52.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
52.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
51.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
51.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
50.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
50.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
50.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
50.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
50.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
50.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
49.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
48.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
48.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
48.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
48.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
48.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
47.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
47.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
46.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
45.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
44.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
44.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
43.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
43.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
43.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
43.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
42.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
42.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
42.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
41.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
40.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
40.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
40.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
40.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
40.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
39.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
39.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
38.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
38.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
38.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
38.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
38.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
37.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
36.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
36.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
36.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
36.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
36.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
36.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
36.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
35.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
35.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
34.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
34.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
34.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
34.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
34.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
34.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
33.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
33.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
33.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
32.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
32.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
32.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
31.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
31.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
30.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
30.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
29.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
29.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
28.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
28.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
28.0
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
28.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
27.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
26.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
26.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
26.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
26.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
26.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
26.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
25.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
25.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
25.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
25.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
24.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
24.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
24.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
24.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
24.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
24.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
23.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
23.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
23.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
23.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
23.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
23.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
23.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
23.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
22.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
22.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
22.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
22.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
22.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
21.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
21.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
21.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
20.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
20.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
20.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
20.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
20.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
20.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
20.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
20.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
20.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
19.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
19.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
19.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
19.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
18.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
18.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
18.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
18.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
18.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
18.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
18.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
18.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
17.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
17.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
17.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
17.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
17.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
17.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
17.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
17.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
16.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
16.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
16.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
16.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
16.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
16.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
16.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
16.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
15.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
15.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
15.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
15.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
15.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
15.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
15.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
15.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
14.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
14.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
14.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
14.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
14.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
13.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
13.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
13.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
13.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
13.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
13.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
12.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
12.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
12.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
11.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
11.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
11.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
11.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
11.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
11.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
11.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
10.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
10.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
10.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
10.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
9.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
9.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
9.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
9.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
9.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
9.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
9.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
9.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
8.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
8.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
8.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
8.4
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
8.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
8.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
8.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
8.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
8.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
7.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
7.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
7.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
7.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
7.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
7.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
7.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
7.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
7.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
7.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
6.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
6.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
6.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
6.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
6.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
6.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
6.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
5.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
5.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
5.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
5.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
5.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
5.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
5.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
5.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
4.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
4.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
4.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
4.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
4.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
4.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
4.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
3.7
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3.5
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
3.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
3.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
3.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
3.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
3.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
3.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
2.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
2.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
2.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
2.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
2.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
2.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
2.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
0.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
0.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
0.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
0.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
0.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
0.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 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.
IGKV1-17 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
42.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
397.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
350.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
245.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
220.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
167.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
148.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
139.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
128.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
101.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
99.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
86.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
78.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
78.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
78.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
77.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
76.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
69.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
63.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
63.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
63.2
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
62.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
59.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
53.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
45.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
42.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
40.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
40.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
38.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
36.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
35.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
33.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
31.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
30.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
27.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
23.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
21.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
19.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
19.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
17.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
15.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
13.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
13.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
12.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
10.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
9.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
8.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
8.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
8.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
8.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
7.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
6.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
6.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
6.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
5.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
5.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
5.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
3.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
3.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
3.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
IGKV1-17 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
91.0
Number of samples
207
Samples
Sample
Description
TPM
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
2184.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
1032.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
726.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
589.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
352.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
310.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
299.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
277.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
267.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
265.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
263.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
251.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
238.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
218.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
218.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
218.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
214.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
210.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
194.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
192.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
189.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
186.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
180.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
169.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
164.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
152.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
148.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
146.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
139.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
137.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
136.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
136.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
136.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
132.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
132.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
131.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
128.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
124.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
121.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
120.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
120.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
119.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
119.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
118.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
117.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
116.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
116.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
114.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
111.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
109.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
107.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
103.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
103.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
102.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
98.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
97.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
94.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
94.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
94.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
93.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
93.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
91.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
87.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
86.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
85.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
84.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
83.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
81.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
81.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
80.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
75.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
75.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
74.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
74.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
74.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
74.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
72.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
71.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
71.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
70.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
69.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
69.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
68.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
67.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
67.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
66.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
66.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
66.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
66.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
65.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
65.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
65.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
64.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
64.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
63.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
61.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
59.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
57.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
55.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
55.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
55.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
54.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
52.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
50.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
49.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
49.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
48.4
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
48.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
44.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
43.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
43.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
42.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
42.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
42.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
40.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
39.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
38.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
37.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
37.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
36.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
36.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
35.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
34.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
34.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
33.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
32.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
30.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
30.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
29.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
28.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
27.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
27.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
26.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
26.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
25.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
24.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
22.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
22.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
22.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
21.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
20.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
19.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
17.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
17.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
15.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
15.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
14.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
14.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
14.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
13.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
13.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
13.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
13.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
13.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
12.6
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
12.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
11.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
11.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
10.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
10.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
10.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
10.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
10.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
9.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
9.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
9.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
9.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
9.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
8.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
8.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
7.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
7.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
6.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
6.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
6.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
5.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
5.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
5.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
5.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
4.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
4.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
4.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
4.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
4.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
3.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
3.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
2.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
0.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
0.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
0.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_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
