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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1-6 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
28.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
580.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
284.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
245.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
187.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
181.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
167.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
165.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
161.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
153.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
143.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
143.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
125.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
120.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
119.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
111.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
101.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
100.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
94.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
92.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
91.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
87.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
80.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
79.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
77.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
75.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
74.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
74.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
74.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
73.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
71.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
70.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
67.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
64.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
63.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
58.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
56.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
55.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
51.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
49.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
49.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
48.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
48.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
45.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
44.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
43.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
41.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
41.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
40.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
39.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
37.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
37.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
37.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
34.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
32.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
32.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
32.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
31.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
31.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
30.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
30.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
30.0
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
29.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
29.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
28.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
27.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
26.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
25.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
25.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
24.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
24.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
24.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
23.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
23.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
22.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
21.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
20.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
20.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
20.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
18.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
17.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
17.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
17.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
17.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
17.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
17.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
17.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
17.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
16.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
16.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
16.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
15.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
15.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
15.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
13.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
13.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
12.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
12.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
12.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
12.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
11.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
11.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
11.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
10.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
10.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
10.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
9.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.8
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
9.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
9.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
9.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
8.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
8.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
8.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
8.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
8.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
7.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
7.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
7.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
7.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
7.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
6.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
6.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
6.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
6.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
6.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
6.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
6.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
5.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
5.5
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
5.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
5.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
5.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
4.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
4.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
4.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
4.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
4.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
3.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
3.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
3.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
3.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
3.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
3.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
3.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
3.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
3.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
3.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
3.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2.8
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1.0
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
0.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.9
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
0.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
0.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
0.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
0.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
0.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.2
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1-6 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
48.6
Number of samples
486
Samples
Sample
Description
TPM
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
784.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
568.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
491.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
389.3
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
345.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
333.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
333.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
321.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
318.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
303.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
302.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
278.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
228.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
224.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
216.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
209.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
208.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
197.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
193.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
182.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
175.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
164.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
164.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
155.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
155.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
155.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
142.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
142.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
141.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
141.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
141.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
137.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
133.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
126.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
124.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
122.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
122.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
121.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
120.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
119.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
114.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
112.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
112.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
111.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
109.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
109.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
109.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
108.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
108.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
107.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
106.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
105.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
105.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
103.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
103.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
100.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
100.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
98.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
98.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
98.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
97.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
97.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
97.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
97.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
95.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
94.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
93.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
91.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
88.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
88.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
87.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
87.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
87.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
86.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
86.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
85.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
83.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
82.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
82.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
82.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
80.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
79.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
79.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
78.1
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
77.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
77.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
76.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
76.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
76.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
75.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
75.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
74.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
73.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
72.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
71.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
71.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
70.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
70.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
69.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
69.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
68.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
67.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
67.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
66.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
66.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
65.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
64.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
63.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
62.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
62.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
61.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
61.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
61.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
60.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
60.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
60.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
59.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
59.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
59.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
59.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
57.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
57.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
57.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
57.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
57.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
56.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
56.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
56.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
56.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
54.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
54.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
54.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
52.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
52.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
51.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
51.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
51.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
51.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
50.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
49.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
49.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
49.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
48.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
48.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
48.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
48.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
48.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
47.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
47.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
47.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
47.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
46.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
46.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
46.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
46.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
45.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.9
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
45.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
45.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
44.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
44.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
43.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
43.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
43.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
42.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
42.3
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
42.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
42.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
41.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
41.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
41.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
40.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
40.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
40.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
39.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
38.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
38.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
38.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
38.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
38.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
37.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
37.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
37.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
37.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
36.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
36.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
35.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
35.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
35.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
35.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
35.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
35.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
35.1
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
34.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
34.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
34.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
34.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
34.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
34.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
34.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
34.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
34.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
34.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
34.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
33.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
33.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
33.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
32.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
31.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
31.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
31.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
31.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
31.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
31.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
31.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
30.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
30.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
30.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
30.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
30.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
30.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
30.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
30.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
29.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
29.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
29.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
29.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
29.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
29.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
29.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
28.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
28.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
27.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
27.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
27.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
26.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
26.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
26.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
25.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
25.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
25.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
25.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
25.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
25.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
25.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
24.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
24.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
24.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
24.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
23.8
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
23.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
23.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
23.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
23.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
23.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
23.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
23.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
23.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
22.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
22.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
22.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
22.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
22.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
22.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
22.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
22.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
21.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
21.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
21.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
21.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
21.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
21.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
21.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
21.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
21.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
20.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
20.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
19.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
19.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
19.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
19.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
18.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
18.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
18.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
18.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
18.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
18.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
18.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
18.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
18.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
18.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
17.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
17.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
17.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
17.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
17.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
17.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
16.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
16.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
16.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
16.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
16.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
16.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
16.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
16.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
15.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
15.7
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
15.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
15.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
15.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
15.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
15.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
15.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
15.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
15.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
15.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
14.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
14.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
14.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
13.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
13.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
13.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
13.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
13.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
13.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
13.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
13.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
13.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
12.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
12.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
12.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
12.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
12.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
12.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
12.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
12.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
12.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
11.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
11.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
11.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
11.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
11.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
11.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
11.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
11.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
11.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
11.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
11.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
11.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
10.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
10.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
10.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
10.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
10.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
10.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
10.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
10.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
10.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
10.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
10.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
9.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
9.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
9.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
9.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
9.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
9.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
9.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
8.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
8.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
8.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
8.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
8.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
8.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
8.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
8.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
8.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
8.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
8.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
8.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
8.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
7.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
7.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
7.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
7.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
7.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
7.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
7.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
7.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
6.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
6.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
6.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
6.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
6.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
6.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
6.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
6.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
6.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
6.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
6.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
5.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
5.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
5.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
5.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
5.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
5.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
5.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
4.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
4.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
4.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
4.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
4.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
4.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
4.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
4.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
4.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
4.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
4.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
4.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
4.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
4.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
3.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
3.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
3.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
3.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
3.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
3.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
3.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
3.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
2.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
2.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
2.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
2.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
2.6
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
2.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
2.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
2.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
2.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
2.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
2.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
2.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
2.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
2.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
2.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
2.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1.0
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
0.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
0.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
0.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
0.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
0.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
0.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
0.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
0.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1-6 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
36.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
672.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
442.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
212.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
131.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
117.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
113.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
108.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
107.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
105.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
83.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
74.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
67.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
61.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
53.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
53.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
51.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
46.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
44.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
38.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
34.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
32.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
29.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
27.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
26.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
24.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
23.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
21.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
20.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
20.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
18.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
17.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
17.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
16.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
16.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
15.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
13.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
11.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
11.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
11.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
11.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
8.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
8.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
8.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
8.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
7.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
7.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
7.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.4
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
7.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
6.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
6.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
6.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
5.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
5.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
5.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
4.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
4.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
3.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
3.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
0.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
0.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
0.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
0.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
0.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.3
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1-6 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
72.3
Number of samples
207
Samples
Sample
Description
TPM
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
2316.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1908.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
1075.6
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
529.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
502.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
416.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
253.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
190.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
173.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
169.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
153.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
128.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
126.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
125.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
119.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
113.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
110.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
108.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
107.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
106.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
105.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
103.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
103.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
100.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
100.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
99.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
95.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
84.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
83.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
83.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
83.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
83.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
82.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
81.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
79.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
74.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
73.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
73.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
73.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
72.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
72.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
71.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
69.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
69.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
68.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
67.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
66.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
65.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
65.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
63.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
62.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
62.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
61.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
61.6
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
60.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
59.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
56.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
56.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
56.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
56.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
55.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
55.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
55.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
55.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
54.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
54.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
53.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
52.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
52.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
51.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
50.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
50.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
49.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
49.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
49.2
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
48.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
47.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
47.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
45.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
44.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
43.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
42.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
41.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
40.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
39.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
39.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
39.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
38.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
38.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
36.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
36.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
34.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
34.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
34.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
34.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
32.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
30.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
30.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
30.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
30.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
30.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
29.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
29.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
29.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
29.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
28.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
28.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
27.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
26.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
26.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
24.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
24.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
23.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
23.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
23.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
23.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
22.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
22.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
22.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
22.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
21.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
21.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
21.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
21.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
20.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
20.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
18.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
18.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
18.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
17.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
17.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
17.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
16.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
15.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
15.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
15.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
14.8
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
14.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
14.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
14.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
13.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
13.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
13.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
12.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
12.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
12.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
11.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
11.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
11.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
11.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
10.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
10.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
9.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
9.8
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
9.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
9.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
8.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
8.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
8.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
7.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
7.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
7.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
7.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
6.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
6.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
6.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
5.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
5.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
5.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
5.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
5.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
4.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
4.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
4.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
4.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
4.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
3.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
3.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
3.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
3.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
3.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
3.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
3.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
2.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
2.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
2.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
0.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
0.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
0.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
0.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
0.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
