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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV3-25 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
132.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2109.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1657.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1098.8
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1063.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
899.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
894.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
763.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
760.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
730.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
680.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
657.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
648.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
635.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
609.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
586.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
542.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
526.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
526.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
516.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
491.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
464.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
450.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
420.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
404.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
397.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
381.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
357.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
357.3
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
307.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
291.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
280.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
277.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
275.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
264.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
262.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
261.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
260.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
251.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
240.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
239.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
227.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
224.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
222.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
221.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
217.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
214.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
212.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
204.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
201.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
198.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
193.0
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
192.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
190.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
187.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
178.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
174.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
166.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
162.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
160.8
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
153.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
147.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
144.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
141.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
141.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
139.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
136.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
133.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
132.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
129.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
128.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
125.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
123.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
121.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
119.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
113.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
113.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
111.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
109.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
107.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
99.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
98.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
98.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
97.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
97.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
97.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
96.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
95.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
92.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
91.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
90.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
87.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
84.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
75.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
75.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
74.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
72.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
71.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
70.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
70.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
69.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
67.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
67.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
67.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
67.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
67.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
63.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
60.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
59.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
56.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
52.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
52.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
52.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
52.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
49.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
49.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
49.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
46.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
45.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
44.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
42.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
42.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
40.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
39.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
36.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
34.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
34.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
34.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
34.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
31.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
30.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
29.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
29.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
29.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
28.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
28.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
28.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
28.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
27.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
26.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
26.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
25.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
24.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
24.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
22.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
19.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
19.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
18.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
18.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
17.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
17.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
17.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
16.7
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
16.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
16.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
15.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
15.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
14.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
14.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
14.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
12.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
11.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
11.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
11.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
10.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
9.7
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
9.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
9.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
8.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
8.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
8.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
8.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
8.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
8.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
8.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
7.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
7.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
7.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
7.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
6.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
6.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
6.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
5.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
5.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
4.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
4.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
4.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
4.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
4.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
3.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
3.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
2.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2.3
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
0.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.5
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV3-25 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
183.8
Number of samples
486
Samples
Sample
Description
TPM
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
3670.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1763.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1212.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
1179.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
1104.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
1057.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1025.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1025.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1013.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1006.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
997.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
919.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
901.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
841.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
840.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
806.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
794.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
769.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
742.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
726.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
715.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
702.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
652.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
640.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
631.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
603.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
582.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
576.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
564.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
550.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
512.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
511.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
502.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
495.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
493.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
486.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
484.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
483.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
479.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
473.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
453.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
452.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
451.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
443.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
439.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
430.5
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
428.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
427.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
424.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
419.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
412.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
400.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
396.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
395.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
391.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
391.1
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
384.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
376.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
373.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
372.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
370.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
369.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
368.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
356.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
355.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
349.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
346.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
343.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
341.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
339.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
336.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
335.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
335.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
334.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
331.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
330.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
328.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
327.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
322.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
322.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
321.7
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
318.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
309.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
309.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
308.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
301.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
299.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
294.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
292.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
283.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
283.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
273.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
271.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
271.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
265.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
264.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
264.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
259.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
257.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
257.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
255.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
251.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
251.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
250.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
248.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
247.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
246.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
245.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
245.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
244.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
242.2
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
239.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
239.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
234.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
233.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
228.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
228.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
227.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
226.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
224.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
224.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
220.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
220.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
218.6
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
216.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
211.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
210.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
209.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
209.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
208.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
207.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
204.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
202.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
201.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
201.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
200.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
198.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
196.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
195.6
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
195.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
194.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
194.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
194.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
193.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
193.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
190.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
186.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
182.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
182.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
181.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
180.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
180.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
179.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
177.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
176.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
175.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
174.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
173.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
170.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
165.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
165.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
163.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
162.4
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
161.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
160.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
160.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
157.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
157.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
155.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
155.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
153.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
153.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
153.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
152.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
152.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
151.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
148.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
148.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
147.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
147.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
146.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
144.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
143.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
143.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
142.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
140.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
139.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
139.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
138.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
137.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
136.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
136.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
136.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
135.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
135.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
135.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
135.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
134.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
133.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
133.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
133.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
132.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
131.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
131.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
130.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
128.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
128.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
127.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
126.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
125.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
122.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
122.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
121.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
120.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
120.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
119.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
119.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
117.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
117.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
117.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
117.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
117.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
115.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
113.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
113.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
111.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
111.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
111.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
110.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
110.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
109.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
109.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
106.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
104.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
104.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
103.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
103.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
103.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
103.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
103.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
101.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
101.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
101.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
100.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
100.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
99.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
99.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
98.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
97.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
97.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
97.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
96.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
96.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
95.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
95.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
94.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
94.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
94.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
94.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
94.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
93.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
92.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
92.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
92.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
91.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
91.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
91.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
90.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
89.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
89.6
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
89.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
89.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
87.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
87.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
85.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
85.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
85.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
84.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
83.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
82.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
82.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
82.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
82.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
82.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
81.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
80.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
80.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
79.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
79.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
79.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
78.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
78.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
78.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
77.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
77.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
76.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
75.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
75.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
74.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
74.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
73.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
73.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
73.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
72.2
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
72.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
70.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
70.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
69.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
68.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
68.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
68.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
66.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
64.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
64.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
64.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
63.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
63.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
63.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
63.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
62.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
62.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
61.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
61.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
59.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
59.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
59.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
58.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
58.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
58.1
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
58.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
57.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
57.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
56.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
56.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
55.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
53.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
52.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
51.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
51.4
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
50.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
50.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
49.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
49.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
49.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
48.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
48.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
48.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
48.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
48.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
47.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
47.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
47.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
47.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
47.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
47.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
46.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
45.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
45.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
45.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
45.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
44.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
44.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
43.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
43.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
43.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
43.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
42.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
42.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
42.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
42.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
41.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
41.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
41.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
40.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
40.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
39.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
39.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
38.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
37.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
37.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
37.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
35.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
35.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
34.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
34.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
34.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
33.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
32.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
32.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
31.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
30.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
30.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
30.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
30.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
30.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
29.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
29.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
29.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
29.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
28.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
27.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
27.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
27.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
27.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
26.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
25.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
25.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
25.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
24.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
24.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
23.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
22.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
22.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
20.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
20.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
20.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
20.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
19.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
19.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
19.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
19.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
18.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
18.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
18.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
18.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
17.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
17.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
17.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
16.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
16.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
16.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
15.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
15.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
15.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
15.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
15.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
14.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
13.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
12.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
12.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
12.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
11.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
11.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
10.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
10.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
10.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
9.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
9.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
9.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
9.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
8.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
8.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
8.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
8.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
8.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
8.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
7.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
6.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
6.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
5.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
5.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
5.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
4.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
4.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
4.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
2.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
2.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
0.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV3-25 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
129.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2878.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
680.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
648.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
592.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
450.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
409.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
353.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
330.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
278.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
251.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
237.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
234.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
205.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
204.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
196.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
183.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
181.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
179.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
178.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
171.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
159.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
156.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
154.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
138.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
130.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
129.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
119.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
100.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
99.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
98.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
75.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
75.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
65.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
59.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
57.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
49.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
49.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
49.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
41.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
41.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
37.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
34.6
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
34.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
33.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
32.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
29.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
28.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
25.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
24.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
24.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
24.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
21.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
20.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
18.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
17.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
15.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
15.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
14.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
14.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
10.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
8.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
7.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
6.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
6.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
6.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
5.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
0.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
0.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV3-25 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
164.8
Number of samples
207
Samples
Sample
Description
TPM
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
2822.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
2628.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
1106.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
853.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
804.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
746.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
684.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
675.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
579.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
548.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
528.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
383.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
370.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
364.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
356.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
332.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
331.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
329.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
323.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
322.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
316.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
304.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
302.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
293.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
285.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
274.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
268.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
256.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
255.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
253.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
250.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
246.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
244.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
239.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
239.1
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
237.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
236.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
235.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
234.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
232.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
226.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
219.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
213.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
212.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
212.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
210.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
210.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
209.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
207.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
200.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
200.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
200.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
197.4
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
196.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
196.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
195.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
192.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
188.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
184.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
182.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
180.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
173.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
173.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
171.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
168.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
162.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
161.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
161.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
157.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
156.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
155.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
154.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
154.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
147.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
146.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
141.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
139.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
139.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
136.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
135.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
132.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
128.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
123.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
122.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
120.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
119.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
115.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
115.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
110.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
109.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
109.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
108.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
108.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
108.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
106.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
106.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
105.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
105.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
104.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
102.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
101.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
100.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
100.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
96.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
96.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
95.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
92.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
91.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
88.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
87.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
86.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
85.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
84.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
81.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
79.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
78.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
77.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
77.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
77.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
76.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
74.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
73.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
71.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
71.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
69.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
68.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
66.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
65.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
65.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
62.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
60.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
60.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
56.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
50.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
49.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
48.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
48.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
47.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
46.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
46.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
45.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
41.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
40.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
39.0
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
38.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
37.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
36.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
33.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.1
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
30.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
29.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
29.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
29.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
29.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
24.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
23.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
23.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
22.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
21.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
20.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
17.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
17.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
17.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
16.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
16.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
15.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
15.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
12.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
12.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
11.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
11.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
10.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
10.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
10.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
10.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
9.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
9.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
8.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
8.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
8.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
7.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
7.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
7.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
6.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
5.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
4.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
4.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
4.6
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
4.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
3.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
2.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
2.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
1.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
