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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.
IGHV2-5 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
46.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
625.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
542.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
505.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
366.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
325.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
324.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
274.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
272.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
269.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
244.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
236.6
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
228.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
227.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
222.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
216.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
204.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
188.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
175.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
170.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
166.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
161.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
156.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
154.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
151.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
144.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
134.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
131.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
127.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
117.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
115.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
107.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
107.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
103.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
102.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
102.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
98.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
97.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
90.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
86.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
80.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
79.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
76.0
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
74.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
74.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
73.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
73.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
72.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
71.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
70.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
70.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
69.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
68.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
68.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
63.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
60.8
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
59.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
56.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
56.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
56.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
48.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
48.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
48.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
47.3
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
46.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
46.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
44.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
44.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
44.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
42.3
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
40.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
40.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
40.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
40.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
37.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
37.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
36.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
34.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
34.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
33.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
32.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
31.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
29.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
29.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
29.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
29.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
28.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
27.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
26.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
26.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
25.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
25.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
24.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
22.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
22.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
21.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
21.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
19.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
19.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
17.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
17.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
17.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
16.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
16.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
16.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
16.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
16.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
15.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
15.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
14.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
14.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
14.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
14.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
13.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
13.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
12.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
12.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
11.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
11.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
10.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
10.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
10.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
10.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
10.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
9.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.7
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
9.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
9.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
8.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
8.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
8.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
8.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
8.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
7.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
7.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
7.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
7.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
6.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
6.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
5.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
5.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
5.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
5.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
5.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
5.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
4.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
4.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
4.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
4.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
4.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
4.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
3.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
3.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
3.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
3.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
3.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
3.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
3.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
2.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
2.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
0.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
0.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
0.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
0.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
0.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
0.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
0.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
0.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
0.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
0.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
0.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
0.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
0.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
0.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
0.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 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.
IGHV2-5 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
139.0
Number of samples
486
Samples
Sample
Description
TPM
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1142.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1101.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1080.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1045.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
850.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
846.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
746.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
716.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
713.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
701.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
701.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
663.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
661.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
659.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
596.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
578.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
573.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
570.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
546.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
532.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
528.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
490.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
480.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
466.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
450.8
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
431.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
429.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
429.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
427.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
425.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
422.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
417.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
410.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
403.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
387.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
380.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
378.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
367.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
367.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
354.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
352.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
348.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
345.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
339.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
335.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
334.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
329.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
323.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
322.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
317.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
317.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
316.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
310.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
310.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
300.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
296.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
294.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
292.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
287.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
279.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
278.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
278.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
273.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
273.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
273.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
271.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
270.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
268.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
263.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
258.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
258.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
257.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
257.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
257.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
252.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
247.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
246.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
246.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
244.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
239.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
237.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
237.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
236.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
235.1
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
234.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
232.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
227.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
226.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
226.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
224.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
224.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
222.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
221.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
220.4
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
219.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
218.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
218.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
216.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
215.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
212.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
211.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
210.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
209.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
207.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
204.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
202.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
200.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
198.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
198.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
198.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
197.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
195.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
195.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
194.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
194.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
192.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
188.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
188.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
181.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
179.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
179.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
174.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
173.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
173.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
173.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
172.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
172.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
170.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
169.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
167.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
165.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
164.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
164.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
164.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
163.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
163.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
161.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
160.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
160.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
159.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
158.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
157.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
157.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
157.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
156.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
154.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
153.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
151.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
151.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
150.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
150.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
149.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
149.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
148.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
148.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
145.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
145.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
144.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
143.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
142.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
142.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
141.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
140.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
139.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
138.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
136.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
134.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
133.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
133.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
132.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
132.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
132.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
132.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
131.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
130.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
130.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
127.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
127.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
127.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
126.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
125.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
123.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
122.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
122.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
120.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
119.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
119.1
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
118.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
114.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
113.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
113.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
113.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
112.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
110.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
110.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
109.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
109.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
109.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
108.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
107.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
106.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
106.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
106.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
106.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
105.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
104.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
103.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
103.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
102.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
102.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
102.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
101.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
100.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
99.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
99.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
98.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
98.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
98.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
98.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
98.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
98.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
97.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
97.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
97.3
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
96.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
94.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
93.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
92.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
91.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
91.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
88.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
86.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
84.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
84.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
83.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
83.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
82.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
82.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
81.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
81.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
81.3
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
81.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
80.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
80.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
80.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
79.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
79.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
78.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
77.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
77.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
77.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
76.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
76.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
76.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
76.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
75.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
75.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
75.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
74.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
74.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
73.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
72.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
71.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
71.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
70.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
70.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
69.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
69.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
68.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
68.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
68.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
67.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
67.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
67.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
67.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
66.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
66.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
66.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
66.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
65.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
65.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
65.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
64.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
64.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
64.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
63.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
63.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
62.4
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
61.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
59.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
58.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
57.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
57.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
57.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
56.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
56.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
56.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
55.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
54.6
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
53.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
53.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
53.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
53.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
52.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
52.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
52.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
51.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
50.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
50.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
50.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
50.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
49.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
49.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
49.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
48.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
48.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
47.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
47.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
46.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
46.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
45.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
45.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
45.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
44.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
44.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
43.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
42.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
42.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
42.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
42.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
41.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
41.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
40.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
40.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
40.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
39.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
39.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
39.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
39.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
38.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
35.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
35.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
35.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
34.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
34.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
33.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
33.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
32.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
31.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
31.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
31.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
31.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
30.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
30.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
30.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
30.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
29.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
29.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
29.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
28.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
27.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
27.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
26.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
26.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
26.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
26.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
25.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
25.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
25.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
25.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
25.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
24.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
24.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
24.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
24.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
23.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
23.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
22.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
22.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
22.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
22.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
22.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
21.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
21.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
21.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
21.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
20.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
20.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
20.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
20.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
20.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
20.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
19.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
19.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
19.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
18.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
18.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
17.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
17.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
17.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
17.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
17.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
17.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
17.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
16.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
16.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
16.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
16.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
16.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
16.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
15.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
15.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
15.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
15.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
14.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
14.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
14.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
13.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
12.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
12.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
12.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
11.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
11.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
10.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
10.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
10.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
9.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
9.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
9.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
9.1
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
9.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
8.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
8.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
8.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
7.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
7.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
6.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
6.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
5.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
5.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
5.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
4.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
4.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
4.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
4.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
4.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
3.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
3.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
3.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
3.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
3.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
2.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
2.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
2.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
2.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
2.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
0.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
0.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
0.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.3
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGHV2-5 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
35.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
476.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
239.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
217.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
214.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
158.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
155.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
136.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
95.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
94.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
93.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
85.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
72.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
59.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
58.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
58.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
56.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
53.6
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
52.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
52.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
49.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
48.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
45.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
44.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
43.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
32.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
29.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
28.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
24.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
21.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
21.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
19.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
18.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
17.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
15.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
14.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
12.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
11.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
10.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
10.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
9.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
9.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
9.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
9.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
9.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
8.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
7.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
7.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
7.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
7.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
6.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
6.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
6.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
5.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
5.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
4.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
4.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
4.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
0.7
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
0.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
0.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
0.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.0
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.
IGHV2-5 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
162.8
Number of samples
207
Samples
Sample
Description
TPM
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
2698.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1827.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
877.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
844.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
698.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
622.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
599.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
595.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
542.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
536.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
520.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
518.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
515.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
466.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
424.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
417.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
405.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
390.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
378.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
355.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
349.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
339.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
336.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
317.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
297.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
296.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
281.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
281.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
276.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
269.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
265.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
263.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
262.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
261.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
250.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
238.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
237.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
231.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
227.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
226.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
223.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
220.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
220.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
217.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
213.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
208.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
206.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
204.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
201.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
198.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
197.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
192.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
192.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
188.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
184.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
184.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
183.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
183.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
178.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
176.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
174.4
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
171.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
165.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
163.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
158.4
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
153.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
149.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
147.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
147.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
146.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
146.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
143.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
143.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
143.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
142.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
142.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
140.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
136.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
134.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
133.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
131.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
128.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
124.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
123.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
122.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
121.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
121.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
120.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
120.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
117.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
116.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
116.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
116.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
115.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
111.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
111.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
106.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
104.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
104.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
103.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
99.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
99.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
96.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
96.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
95.5
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
94.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
94.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
93.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
91.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
90.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
88.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
87.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
87.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
86.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
86.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
85.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
84.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
83.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
81.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
80.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
77.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
72.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
71.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
71.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
71.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
71.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
68.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
68.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
68.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
66.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
65.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
63.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
62.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
62.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
61.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
59.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
59.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
58.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
52.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
52.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
49.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
48.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
48.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
47.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
47.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
46.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
45.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
45.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
44.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
43.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
43.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
41.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
38.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
37.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
35.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
34.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
34.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
34.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
33.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
31.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
31.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
31.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
30.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
29.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
27.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
25.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
22.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
22.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
21.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
19.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
18.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
18.0
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
16.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
16.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
15.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
15.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
14.9
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
14.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
13.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
12.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
12.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
11.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
11.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
10.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
9.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
9.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
9.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
9.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
8.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
8.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
7.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
6.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
5.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
5.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
4.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
4.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
2.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
2.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
2.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
2.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
