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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.
IGLV3-21 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
130.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1782.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1517.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1227.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1194.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1158.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1144.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1015.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
885.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
813.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
808.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
798.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
797.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
761.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
713.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
674.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
645.6
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
644.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
526.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
463.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
410.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
397.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
394.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
379.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
377.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
363.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
363.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
311.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
309.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
303.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
296.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
295.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
293.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
291.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
288.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
284.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
283.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
260.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
251.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
245.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
242.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
239.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
185.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
184.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
183.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
170.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
167.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
167.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
160.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
158.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
158.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
157.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
157.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
155.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
151.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
150.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
150.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
149.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
149.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
135.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
127.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
126.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
123.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
123.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
122.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
121.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
120.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
117.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
114.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
109.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
107.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
104.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
102.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
101.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
92.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
89.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
84.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
84.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
84.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
83.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
82.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
80.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
80.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
79.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
78.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
77.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
77.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
76.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
64.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
64.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
61.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
59.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
54.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
52.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
50.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
50.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
47.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
46.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
45.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
44.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
43.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
42.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
42.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
41.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
41.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
40.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
40.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
38.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
38.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
36.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
36.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
35.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
34.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
34.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
33.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
33.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
30.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
30.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
29.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
29.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
28.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
28.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
27.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
27.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
27.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
27.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
27.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
26.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
26.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.4
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
23.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
23.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
22.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
21.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
21.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
20.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
20.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
20.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
19.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
19.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
19.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
17.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
17.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
16.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
16.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
16.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
15.7
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
15.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
15.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
14.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
14.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
14.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
14.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
12.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
11.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
10.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
10.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
9.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
9.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
9.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
8.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
8.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
8.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
8.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
7.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
7.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
6.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
6.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
6.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
6.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
5.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
5.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
4.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
4.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
4.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
3.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
3.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
3.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
2.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.2
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 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.
IGLV3-21 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
160.0
Number of samples
486
Samples
Sample
Description
TPM
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
5790.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
2243.1
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1309.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1195.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1110.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1081.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1081.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
925.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
810.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
753.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
732.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
691.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
661.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
641.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
637.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
630.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
627.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
600.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
592.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
590.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
570.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
570.4
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
558.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
521.5
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
497.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
491.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
486.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
483.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
469.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
455.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
444.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
437.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
434.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
429.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
427.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
419.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
413.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
413.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
405.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
402.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
399.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
398.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
389.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
388.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
381.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
381.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
381.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
376.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
373.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
370.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
348.2
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
348.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
335.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
332.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
327.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
326.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
317.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
313.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
309.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
304.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
303.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
303.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
295.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
293.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
288.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
287.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
284.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
284.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
283.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
282.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
281.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
275.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
273.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
270.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
253.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
252.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
250.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
248.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
247.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
242.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
241.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
241.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
240.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
238.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
237.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
237.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
235.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
232.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
231.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
230.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
225.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
223.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
219.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
218.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
217.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
214.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
213.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
209.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
208.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
208.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
206.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
204.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
203.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
203.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
200.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
199.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
197.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
194.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
194.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
193.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
191.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
188.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
187.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
186.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
186.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
186.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
185.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
185.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
185.0
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
181.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
180.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
179.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
179.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
179.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
178.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
177.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
177.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
175.1
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
174.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
174.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
174.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
174.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
173.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
173.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
173.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
169.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
168.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
166.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
166.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
166.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
165.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
163.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
163.4
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
163.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
162.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
162.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
161.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
161.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
161.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
160.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
158.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
158.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
156.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
155.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
154.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
153.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
144.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
142.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
141.0
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
140.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
138.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
136.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
135.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
134.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
134.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
133.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
132.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
132.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
131.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
129.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
129.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
129.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
129.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
128.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
127.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
127.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
126.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
125.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
125.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
123.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
123.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
123.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
122.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
122.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
120.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
119.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
119.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
118.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
118.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
116.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
115.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
113.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
112.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
112.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
110.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
108.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
108.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
107.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
107.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
107.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
107.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
105.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
105.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
103.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
103.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
103.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
102.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
101.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
100.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
100.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
98.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
97.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
97.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
97.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
97.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
96.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
96.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
96.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
95.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
94.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
94.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
94.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
94.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
93.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
92.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
92.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
92.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
92.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
92.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
92.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
92.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
91.4
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
91.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
91.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
90.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
88.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
88.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
87.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
87.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
86.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
86.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
86.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
85.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
85.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
85.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
84.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
83.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
82.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
82.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
82.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
81.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
81.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
81.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
81.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
81.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
80.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
80.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
80.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
79.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
78.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
77.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
76.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
76.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
76.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
75.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
74.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
73.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
72.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
72.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
72.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
71.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
71.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
70.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
70.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
69.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
68.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
68.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
67.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
67.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
66.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
66.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
65.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
65.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
65.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
65.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
64.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
64.7
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
64.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
64.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
63.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
63.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
62.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
62.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
60.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
60.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
60.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
59.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
58.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
58.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
58.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
57.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
57.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
57.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
56.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
56.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
55.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
55.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
55.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
54.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
54.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
54.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
53.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
52.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
51.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
50.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
50.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
50.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
49.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
49.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
48.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
48.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
48.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
47.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
47.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
47.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
46.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
46.3
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
45.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
45.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
45.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
45.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
44.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
44.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
42.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
42.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
42.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
42.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
41.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
40.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
40.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
39.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
39.3
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
38.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
38.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
37.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
36.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
36.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
36.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
35.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
34.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
33.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
33.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
31.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
31.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
30.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
30.6
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
30.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
30.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
30.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
30.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
30.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
29.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
28.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
28.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
28.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
28.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
27.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
27.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
26.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
26.5
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
26.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
25.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
25.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
24.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
24.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
24.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
24.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
24.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
24.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
23.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
22.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
22.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
22.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
22.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
21.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
21.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
21.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
21.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
20.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
19.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
19.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
19.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
18.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
18.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
18.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
18.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
17.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
17.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
17.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
17.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
17.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
17.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
17.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
16.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
16.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
16.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
16.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
15.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
15.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
15.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
15.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
15.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
15.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
14.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
14.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
14.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
14.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
13.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
13.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
12.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
12.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
12.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
12.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
11.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
11.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
11.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
11.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
10.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
10.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
10.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
9.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
9.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
8.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
8.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
7.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
7.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
7.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
7.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
6.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
6.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
6.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
5.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
5.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
5.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
5.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
4.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
4.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
4.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
4.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
4.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
3.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
3.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
3.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
3.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
2.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
2.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
2.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
2.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
1.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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.
IGLV3-21 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
146.4
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
6713.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
583.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
536.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
398.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
322.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
307.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
294.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
257.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
234.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
157.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
152.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
144.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
143.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
129.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
127.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
119.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
116.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
111.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
101.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
100.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
100.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
94.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
92.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
91.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
78.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
78.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
64.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
63.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
63.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
62.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
61.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
54.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
52.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
51.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
45.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
44.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
43.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
40.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
35.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
32.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
32.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
31.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
30.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
30.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
26.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
26.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
26.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
24.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
24.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
24.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
23.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
21.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
19.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
18.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
18.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
14.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
14.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
12.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
11.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
9.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
7.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
6.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
6.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
5.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
5.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
5.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
3.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.4
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.
IGLV3-21 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
131.7
Number of samples
207
Samples
Sample
Description
TPM
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1039.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
948.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
933.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
697.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
643.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
549.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
508.0
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
506.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
478.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
459.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
455.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
408.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
397.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
378.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
372.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
357.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
320.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
315.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
315.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
312.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
309.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
295.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
294.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
273.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
266.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
265.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
262.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
254.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
254.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
252.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
248.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
244.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
240.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
238.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
230.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
226.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
217.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
215.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
211.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
204.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
200.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
195.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
193.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
191.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
187.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
181.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
180.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
178.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
173.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
169.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
167.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
164.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
163.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
163.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
159.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
158.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
157.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
156.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
156.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
155.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
155.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
153.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
153.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
150.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
148.9
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
148.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
147.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
144.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
143.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
136.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
136.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
134.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
133.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
131.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
129.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
124.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
123.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
121.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
119.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
118.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
117.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
117.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
114.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
113.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
109.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
106.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
104.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
104.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
102.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
98.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
95.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
91.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
90.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
88.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
85.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
83.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
82.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
82.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
82.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
82.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
81.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
81.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
80.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
79.7
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
76.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
74.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
74.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
72.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
71.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
70.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
69.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
67.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
65.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
64.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
62.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
62.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
62.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
61.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
61.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
60.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
58.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
58.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
56.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
56.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
55.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
54.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
54.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
53.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
53.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
52.0
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
49.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
47.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
47.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
46.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
45.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
45.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
44.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
43.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
43.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
43.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
42.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
42.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
40.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
39.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
38.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
38.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
37.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
36.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
35.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
33.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
31.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
31.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
29.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
29.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.1
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
27.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
27.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
26.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
25.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
23.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
22.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
21.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
21.2
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
18.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
17.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
17.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
16.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
16.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
16.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
16.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
15.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
15.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
14.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
14.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
13.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
12.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
12.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
12.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
11.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
10.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
10.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
9.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
9.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
9.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
8.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
6.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
6.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
6.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
5.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
5.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
5.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
3.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
3.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
3.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
3.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
2.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
0.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
0.2
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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.
The Human Protein Atlas project is funded
