We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
IGLV3-10 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
46.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
945.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
493.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
449.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
414.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
359.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
311.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
300.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
266.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
262.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
258.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
251.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
243.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
195.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
194.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
184.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
183.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
183.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
179.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
171.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
160.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
148.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
143.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
142.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
139.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
137.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
133.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
132.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
131.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
131.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
121.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
115.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
113.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
112.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
111.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
107.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
105.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
104.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
99.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
96.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
84.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
80.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
80.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
79.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
79.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
75.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
74.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
74.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
73.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
73.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
70.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
68.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
67.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
64.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
60.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
58.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
58.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
57.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
55.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
52.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
51.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
50.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
49.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
49.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
48.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
47.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
46.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
46.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
44.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
40.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
38.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
38.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
37.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
37.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
36.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
36.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
33.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
33.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
32.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
32.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
31.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
29.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
28.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
27.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
26.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
26.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
24.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
24.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
23.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
23.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
20.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
20.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
20.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
19.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
18.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
18.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
17.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
16.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
16.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
16.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
15.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
15.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
15.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
15.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
14.6
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
14.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
13.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
13.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
12.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
12.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
12.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
11.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
11.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
11.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
10.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
10.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
10.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
9.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
9.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
9.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
8.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
8.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
8.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
7.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
7.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
7.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
7.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
7.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
7.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
7.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
7.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
7.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
6.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
6.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
6.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
5.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
5.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
5.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
5.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
5.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
5.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
5.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
5.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
4.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
4.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
4.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
4.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
4.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
3.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.2
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
3.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
3.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
3.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
3.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
3.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
2.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
2.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1.2
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
0.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
0.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
0.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
0.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
0.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
0.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
0.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
0.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
0.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
0.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
0.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
0.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.0
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 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.
IGLV3-10 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
69.0
Number of samples
486
Samples
Sample
Description
TPM
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
1454.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
993.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
712.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
664.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
600.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
588.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
564.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
552.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
430.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
386.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
383.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
335.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
323.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
315.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
304.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
291.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
290.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
280.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
268.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
268.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
254.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
247.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
229.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
228.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
224.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
219.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
217.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
215.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
215.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
211.9
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
211.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
209.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
209.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
207.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
206.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
201.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
195.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
193.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
191.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
189.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
185.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
184.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
180.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
178.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
177.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
175.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
172.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
171.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
168.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
167.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
164.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
162.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
158.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
154.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
153.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
152.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
150.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
149.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
149.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
148.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
148.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
146.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
144.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
142.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
139.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
139.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
135.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
131.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
129.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
128.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
128.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
127.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
126.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
126.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
126.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
123.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
123.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
121.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
120.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
118.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
117.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
112.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
112.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
110.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
109.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
108.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
108.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
108.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
107.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
106.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
105.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
105.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
105.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
104.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
102.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
102.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
100.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
99.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
99.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
99.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
99.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
99.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
98.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
98.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
97.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
96.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
96.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
95.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
95.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
94.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
94.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
93.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
92.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
89.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
88.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
85.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
85.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
85.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
84.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
84.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
83.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
82.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
82.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
81.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
80.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
79.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
77.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
77.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
76.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
76.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
75.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
75.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
74.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
74.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
72.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
72.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
72.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
71.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
70.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
70.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
70.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
69.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
67.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
66.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
65.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
64.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
64.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
62.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
61.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
61.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
60.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
60.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
59.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
59.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
59.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
59.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
59.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
58.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
58.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
58.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
58.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
57.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
56.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
55.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
54.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
53.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
53.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
52.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
52.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
52.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
51.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
50.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
50.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
50.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
48.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.7
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
46.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
45.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
45.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
45.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
44.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
44.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
44.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
43.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
42.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
42.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
42.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
42.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
41.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
41.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
41.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
41.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
41.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
41.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
41.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
41.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
40.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
40.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
39.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
39.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
39.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
39.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
39.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
38.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
38.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
37.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
37.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
37.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
37.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
36.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
36.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
36.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
35.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
35.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
35.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
34.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
34.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
34.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
34.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
34.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
34.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
34.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
33.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
33.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
33.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
32.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
32.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
32.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
31.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
31.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
31.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
31.7
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
31.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
31.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
30.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
30.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
30.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
30.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
29.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
29.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
29.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
28.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
28.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
27.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
27.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
27.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
27.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
27.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
27.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
27.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
26.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
26.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
26.3
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
26.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
26.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
25.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
25.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
25.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
25.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
24.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
24.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
24.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
24.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
23.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
23.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
23.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
23.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
23.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
22.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
22.4
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
22.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
21.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
21.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
21.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
21.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
21.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
21.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
20.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
20.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
20.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
20.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
20.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
19.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
19.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
19.2
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
19.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
19.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
18.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
18.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
18.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
18.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
18.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
17.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
17.9
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
17.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
17.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
17.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
17.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
16.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
16.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
16.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
16.5
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
16.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
16.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
15.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
15.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
15.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
15.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
15.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
15.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
15.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
15.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
15.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
14.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
14.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
14.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
14.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
13.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
13.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
13.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
13.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
13.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
13.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
13.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
13.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
13.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
12.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
12.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
12.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
12.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
12.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
12.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
12.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
11.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
11.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
11.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
11.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
11.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
11.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
11.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
11.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
11.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
10.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
10.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
10.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
10.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
10.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
10.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
10.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
9.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
9.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
9.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
9.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
9.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
8.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
8.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
8.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
8.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
8.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
8.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
8.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
8.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
7.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
7.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
7.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
7.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
7.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
7.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
7.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
7.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
6.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
6.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
6.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
6.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
6.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
6.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
6.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
6.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
5.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
5.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
5.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
5.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
5.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
5.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
5.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
5.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
5.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
5.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
4.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
4.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
4.9
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
4.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
4.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
4.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
4.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
4.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
4.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
4.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
3.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
3.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
3.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
3.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
3.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
3.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
3.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
3.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
3.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
2.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
2.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
2.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
2.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
2.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
2.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
2.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
2.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
2.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
2.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
2.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
2.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
2.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
2.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
2.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
2.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
2.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
2.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
1.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
1.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
0.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
0.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
0.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
0.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
0.7
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
0.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
0.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
0.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
0.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
0.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
0.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.1
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
0.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
0.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
0.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
0.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
0.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 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.
IGLV3-10 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
48.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
922.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
319.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
282.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
189.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
186.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
181.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
178.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
162.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
159.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
138.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
130.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
116.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
81.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
80.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
80.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
72.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
62.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
56.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
52.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
49.3
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
48.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
39.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
38.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
34.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
33.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
33.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
26.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
22.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
20.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
20.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
18.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
17.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
16.2
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
16.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
12.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
11.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
10.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
8.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
7.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
7.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
7.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
6.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
6.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
5.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
5.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
4.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.2
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
4.0
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
3.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
3.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
3.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
3.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
3.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
2.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
0.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
0.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
0.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.1
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 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.
IGLV3-10 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
68.6
Number of samples
207
Samples
Sample
Description
TPM
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1642.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
789.2
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
568.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
541.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
476.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
308.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
245.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
240.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
217.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
204.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
189.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
173.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
161.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
148.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
147.7
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
146.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
143.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
138.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
137.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
131.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
128.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
127.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
125.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
121.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
118.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
117.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
117.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
114.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
112.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
111.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
105.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
104.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
101.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
100.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
98.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
94.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
93.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
93.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
92.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
92.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
89.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
88.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
88.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
87.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
87.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
87.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
86.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
85.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
84.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
83.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
83.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
83.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
83.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
77.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
75.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
74.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
73.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
71.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
68.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
68.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
68.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
67.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
66.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
65.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
63.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
63.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
61.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
60.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
59.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
55.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
55.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
55.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
54.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
53.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
53.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
52.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
52.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
51.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
50.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
50.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
50.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
50.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
49.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
49.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
48.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
48.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
45.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
44.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
43.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
43.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
43.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
42.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
42.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
40.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
40.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
39.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
38.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
37.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
37.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
36.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
36.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
33.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
31.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
30.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
30.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
29.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
29.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
29.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
28.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
26.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
26.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
25.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
24.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
24.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
24.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
23.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
23.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
23.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
22.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
22.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
21.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
21.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
21.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
20.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
20.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
19.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
19.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
19.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
18.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
18.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
17.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
17.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
15.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
14.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
12.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
12.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
12.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
12.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
12.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
12.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
11.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
11.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
10.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
10.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
10.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
9.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
9.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
8.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
8.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
7.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
7.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
6.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
6.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
6.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
6.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
6.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
6.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
6.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
5.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
5.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
5.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
5.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
4.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
4.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
4.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
4.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
3.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
3.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
3.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
3.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
3.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
2.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
2.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
2.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
1.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
0.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
0.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
0.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
0.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
0.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
0.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
0.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
0.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
0.0
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
