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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV4-69 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
41.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1939.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
522.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
453.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
373.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
267.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
263.8
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
226.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
207.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
202.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
201.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
185.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
180.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
173.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
165.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
147.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
141.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
140.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
139.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
122.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
97.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
97.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
97.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
96.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
93.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
92.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
91.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
90.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
88.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
87.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
86.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
84.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
81.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
80.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
75.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
74.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
72.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
70.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
67.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
62.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
58.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
58.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
57.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
56.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
51.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
50.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
48.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
47.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
43.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
43.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
42.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
40.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
40.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
39.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
38.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
38.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
37.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
37.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
37.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
36.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
36.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
36.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
36.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
34.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
34.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
34.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
33.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
32.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
32.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
31.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
31.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
30.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
29.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
29.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
28.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
27.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
27.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
27.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
27.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
26.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
26.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
26.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
25.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
25.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
23.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
22.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
22.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
22.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
21.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
20.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
20.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
20.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
19.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
19.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
18.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
18.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
18.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
17.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
16.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
16.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
15.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
15.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
15.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
15.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
15.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
14.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
14.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
14.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
14.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
13.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
13.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
13.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
13.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
12.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
12.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
10.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
10.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
9.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
8.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
8.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
8.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
7.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
7.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7.3
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
7.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
6.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
6.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
6.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
6.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
6.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
5.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
5.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
5.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
5.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
4.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
4.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
4.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
4.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
3.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
3.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
3.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
3.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
3.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
3.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
2.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
2.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
0.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
0.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
0.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
0.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
0.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
0.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
0.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
0.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 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.
IGLV4-69 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
71.9
Number of samples
486
Samples
Sample
Description
TPM
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1576.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1101.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
904.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
759.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
740.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
665.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
656.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
494.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
468.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
461.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
442.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
417.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
371.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
368.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
348.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
325.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
325.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
302.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
287.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
268.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
261.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
244.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
225.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
222.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
207.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
205.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
204.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
202.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
195.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
193.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
188.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
180.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
175.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
171.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
167.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
162.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
159.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
158.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
158.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
157.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
150.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
150.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
149.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
148.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
143.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
142.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
142.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
142.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
141.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
141.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
140.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
140.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
139.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
139.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
138.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
137.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
136.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
132.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
132.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
131.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
127.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
126.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
124.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
124.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
121.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
120.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
119.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
118.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
117.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
116.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
115.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
115.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
114.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
113.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
112.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
110.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
110.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
109.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
109.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
107.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
106.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
106.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
105.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
103.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
103.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
101.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
101.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
101.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
100.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
99.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
99.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
98.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
96.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
96.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
95.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
95.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
94.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
94.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
93.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
92.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
92.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
92.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
92.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
92.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
90.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
89.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
88.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
88.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
87.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
86.9
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
86.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
85.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
84.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
84.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
83.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
83.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
82.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
81.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
81.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
81.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
81.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
80.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
78.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
78.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
78.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
78.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
77.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
77.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
77.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
77.1
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
76.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
76.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
76.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
75.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
75.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
74.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
74.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
73.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
73.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
72.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
72.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
71.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
71.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
71.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
70.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
70.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
70.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
67.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
67.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
67.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
66.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
66.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
66.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
65.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
65.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
64.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
63.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
63.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
63.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
62.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
62.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
62.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
62.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
62.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
62.1
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
61.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
60.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
60.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
60.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
60.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
59.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
59.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
59.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
59.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
59.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
58.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
57.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
56.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
56.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
56.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
55.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
55.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
55.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
54.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
54.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
54.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
53.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
53.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
53.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
53.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
52.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
52.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
52.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
51.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
51.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
51.5
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
51.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
50.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
50.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
50.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
50.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
50.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
50.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
50.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
49.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
48.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
48.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
48.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
47.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
47.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
47.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
46.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
46.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
46.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
46.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
45.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
45.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
45.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
45.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
45.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
44.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
44.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
44.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
43.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
43.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
42.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
42.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
42.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
42.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
41.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
41.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
40.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
39.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
39.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
39.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
39.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
39.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
38.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
38.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
38.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
38.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
37.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
37.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
37.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
36.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
36.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
35.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
35.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
35.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
34.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
34.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
34.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
33.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
33.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
32.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
32.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
32.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
32.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
31.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
31.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
30.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
30.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
30.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
30.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
30.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
29.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
29.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
29.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
29.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
28.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
28.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
28.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
28.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
28.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
27.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
27.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
27.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
26.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
26.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
26.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
26.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
26.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
26.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
26.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
25.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
25.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
25.9
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
25.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
25.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
25.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
25.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
24.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
24.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
24.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
23.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
23.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
23.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
23.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
22.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
22.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
22.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
22.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
22.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
22.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
21.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
21.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
20.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
20.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
20.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
20.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
20.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
20.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
19.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
19.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
19.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
18.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
18.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
18.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
18.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
18.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
17.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
17.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
17.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
17.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
17.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
17.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
16.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
16.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
16.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
16.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
16.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
16.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
16.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
16.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
16.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
16.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
16.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
15.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
15.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
15.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
14.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
14.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
14.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
14.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
14.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
14.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
14.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
13.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
13.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
13.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
13.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
12.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
12.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
12.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
12.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
12.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
12.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
11.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
11.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
11.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
11.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
11.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
11.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
11.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
11.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
11.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
10.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
10.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
10.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
10.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
10.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
10.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
10.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
10.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
10.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
10.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
9.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
9.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
9.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
9.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
9.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
9.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
9.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
9.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
8.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
8.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
8.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
8.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
8.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
8.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
7.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
7.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
7.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
7.4
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
7.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
7.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
7.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
7.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
7.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
7.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
6.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
6.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
6.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
6.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
6.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
6.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
6.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
6.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
6.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
6.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
6.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
5.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
5.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
5.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
5.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
5.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
5.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
5.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
5.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
5.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
4.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
4.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
4.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
4.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
4.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
4.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
4.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
4.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
3.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
3.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
3.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
3.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
3.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
3.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
3.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
2.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
2.6
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
2.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
2.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
2.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
2.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
2.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
0.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
0.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
0.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
0.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
0.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
0.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
0.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV4-69 is potential prognostic, high expression is favorable 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
31.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
246.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
213.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
200.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
189.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
174.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
148.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
147.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
100.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
84.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
81.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
77.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
72.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
66.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
59.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
56.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
39.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
35.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
35.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
32.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
31.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
30.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
29.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
24.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
22.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
21.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
21.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
20.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
17.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
17.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
16.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
15.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
14.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
13.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
12.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
12.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
12.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
11.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
11.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
11.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
11.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
10.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
10.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
9.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
9.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
8.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
8.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
8.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
8.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
7.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
6.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
6.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
5.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
5.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
5.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
4.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
0.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
0.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV4-69 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
88.1
Number of samples
207
Samples
Sample
Description
TPM
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1127.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1109.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1067.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
873.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
607.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
446.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
417.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
413.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
382.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
347.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
254.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
247.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
240.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
234.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
230.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
202.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
198.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
197.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
197.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
186.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
183.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
176.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
169.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
165.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
158.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
157.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
155.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
147.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
142.2
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
142.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
135.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
129.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
127.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
127.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
127.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
124.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
124.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
122.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
122.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
118.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
114.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
112.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
110.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
110.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
105.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
105.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
102.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
101.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
99.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
98.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
95.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
94.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
92.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
92.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
91.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
89.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
88.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
86.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
83.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
83.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
81.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
81.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
80.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
80.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
77.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
76.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
76.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
76.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
74.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
72.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
71.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
67.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
65.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
64.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
64.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
64.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
63.6
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
62.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
61.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
61.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
60.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
58.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
57.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
55.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
54.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
54.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
54.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
53.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
51.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
51.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
51.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
51.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
50.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
50.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
50.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
50.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
49.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
48.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
47.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
46.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
45.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
44.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
43.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
42.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
41.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
40.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
38.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
38.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
38.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
37.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
36.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
36.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
34.3
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
34.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
33.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
32.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
32.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
31.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
31.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
30.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
30.4
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
29.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
28.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
28.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
27.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
27.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
27.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
26.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
26.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
25.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
24.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
24.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
23.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
22.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
22.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
22.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
21.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
20.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
20.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
19.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
19.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
18.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
18.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
18.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
17.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
17.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
17.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
17.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
17.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
16.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
16.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
15.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
15.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
15.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
14.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
14.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
13.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
13.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
11.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
11.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
10.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
10.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
9.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
9.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
9.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
8.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
7.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
7.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
7.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
7.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
7.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
6.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
6.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
6.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
5.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
5.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
5.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
5.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
4.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
4.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
4.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
3.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
2.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
2.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
2.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
2.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
1.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
1.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
1.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1.0
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
0.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
0.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
0.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
0.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.