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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.
IGLV1-40 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
89.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1081.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
918.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
870.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
848.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
691.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
688.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
561.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
512.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
492.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
459.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
454.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
365.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
357.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
351.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
313.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
308.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
296.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
295.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
280.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
270.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
265.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
263.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
254.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
249.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
249.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
246.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
238.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
229.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
229.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
227.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
227.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
226.5
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
205.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
202.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
198.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
196.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
189.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
176.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
175.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
168.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
167.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
167.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
165.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
160.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
156.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
154.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
152.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
150.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
149.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
147.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
147.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
139.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
136.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
136.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
127.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
127.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
123.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
122.5
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
117.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
114.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
101.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
99.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
97.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
96.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
96.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
90.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
90.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
89.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
87.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
85.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
84.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
84.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
83.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
81.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
74.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
73.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
72.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
70.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.2
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
68.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
67.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
63.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
63.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
61.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
60.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
60.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
59.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
59.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
58.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
57.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
56.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
56.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
56.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
56.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
54.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
52.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
51.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
49.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
46.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
45.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
42.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
40.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
40.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
39.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
38.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
38.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
38.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
38.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
37.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
36.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
35.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
35.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
35.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
35.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
35.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
34.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
31.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
31.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
30.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
30.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
29.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
29.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
27.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
27.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
27.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
27.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
26.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
25.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
25.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
24.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
24.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
24.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
23.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
23.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
22.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
21.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
20.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
19.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
17.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
17.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
17.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
17.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
16.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
15.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
14.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
14.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
14.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
13.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
11.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
10.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
9.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
9.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
9.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
8.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
8.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
8.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
8.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
8.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
8.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
8.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
7.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
7.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
7.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
7.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
7.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
6.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
6.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
6.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
6.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
6.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
5.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
5.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
5.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
4.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
4.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.7
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
3.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
3.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
3.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
3.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2.9
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1.0
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
0.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
0.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV1-40 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
157.3
Number of samples
486
Samples
Sample
Description
TPM
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
2250.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
1948.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1306.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1037.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
991.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
938.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
867.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
805.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
780.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
750.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
696.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
688.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
665.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
653.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
639.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
608.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
597.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
546.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
521.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
520.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
490.5
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
470.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
470.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
445.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
444.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
443.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
441.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
431.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
429.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
422.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
419.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
418.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
412.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
400.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
397.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
394.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
389.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
389.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
387.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
384.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
383.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
380.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
378.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
372.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
366.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
365.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
364.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
358.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
354.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
352.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
347.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
346.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
342.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
333.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
318.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
317.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
315.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
313.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
311.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
310.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
310.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
310.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
305.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
304.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
300.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
294.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
294.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
290.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
286.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
286.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
286.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
284.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
280.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
280.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
274.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
271.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
269.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
264.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
263.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
261.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
258.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
258.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
252.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
252.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
251.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
250.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
247.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
246.7
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
244.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
239.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
238.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
235.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
233.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
230.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
229.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
228.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
226.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
226.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
225.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
225.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
225.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
224.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
224.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
222.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
221.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
218.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
218.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
215.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
214.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
214.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
213.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
213.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
211.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
211.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
210.2
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
209.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
208.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
206.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
205.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
203.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
194.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
192.6
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
191.3
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
190.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
186.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
186.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
184.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
184.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
181.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
178.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
178.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
177.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
175.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
174.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
174.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
171.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
171.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
171.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
169.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
169.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
168.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
168.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
167.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
164.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
164.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
164.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
162.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
162.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
162.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
162.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
162.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
161.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
159.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
157.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
155.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
153.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
152.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
152.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
152.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
151.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
150.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
150.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
149.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
149.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
148.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
147.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
146.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
146.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
145.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
144.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
143.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
143.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
142.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
142.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
142.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
141.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
140.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
140.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
139.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
139.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
138.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
137.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
136.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
136.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
134.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
134.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
132.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
129.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
129.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
129.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
129.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
128.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
128.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
128.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
127.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
127.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
125.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
125.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
125.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
124.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
123.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
122.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
121.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
121.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
120.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
119.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
119.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
118.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
118.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
116.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
116.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
115.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
115.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
115.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
114.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
114.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
114.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
112.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
112.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
111.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
109.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
108.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
108.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
107.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
107.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
107.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
106.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
105.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
105.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
104.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
104.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
103.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
102.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
102.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
102.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
102.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
101.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
100.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
100.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
100.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
100.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
100.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
99.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
99.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
99.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
99.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
98.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
97.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
97.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
97.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
97.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
97.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
97.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
95.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
94.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
94.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
94.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
93.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
93.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
92.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
92.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
91.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
90.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
89.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
89.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
89.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
88.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
88.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
88.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
87.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
87.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
86.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
86.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
86.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
85.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
85.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
84.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
84.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
83.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
82.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
82.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
81.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
81.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
80.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
79.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
78.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
77.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
77.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
76.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
75.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
75.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
74.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
73.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
73.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
73.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
73.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
73.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
72.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
72.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
72.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
71.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
70.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
70.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
70.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
69.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
68.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
68.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
68.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
68.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
67.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
67.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
67.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
66.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
66.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
66.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
66.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
66.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
65.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
65.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
64.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
64.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
64.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
63.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
63.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
62.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
62.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
62.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
62.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
61.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
61.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
60.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
60.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
60.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
59.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
59.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
58.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
58.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
58.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
57.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
57.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
57.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
56.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
56.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
56.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
54.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
54.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
54.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
54.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
52.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
51.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
50.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
49.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
49.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
48.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
47.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
47.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
47.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
46.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
46.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
46.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
43.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
43.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
42.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
42.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
42.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
42.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
41.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
41.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
41.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
40.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
39.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
38.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
37.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
37.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
36.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
36.7
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
36.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
35.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
35.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
34.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
33.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
32.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
32.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
32.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
32.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
32.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
32.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
31.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
31.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
29.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
28.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
28.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
27.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
27.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
26.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
26.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
26.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
26.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
25.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
25.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
24.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
24.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
24.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
24.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
24.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
24.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
23.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
23.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
22.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
22.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
21.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
21.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
21.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
21.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
20.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
20.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
20.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
19.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
19.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
18.8
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
18.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
17.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
17.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
17.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
17.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
16.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
15.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
14.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
14.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
14.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
14.7
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
13.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
13.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
13.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
13.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
11.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
11.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
11.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
11.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
10.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
9.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
9.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
9.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
7.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
7.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
7.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
6.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
5.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
5.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
4.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
4.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
3.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
3.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
3.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
3.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
3.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
3.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.1
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
3.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
2.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
2.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
2.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
2.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1.1
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
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.
IGLV1-40 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
73.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
860.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
437.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
421.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
375.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
281.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
256.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
223.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
219.9
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
210.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
199.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
195.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
187.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
175.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
167.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
146.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
129.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
121.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
115.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
99.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
92.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
87.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
85.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
76.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
70.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
69.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
60.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
57.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
55.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
52.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
48.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
40.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
39.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
37.9
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
35.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
32.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
31.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
31.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
31.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
28.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
27.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
26.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
26.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
26.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
25.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
25.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
24.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
24.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
24.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
23.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
21.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
20.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
20.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
18.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
15.6
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
13.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
13.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
11.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
10.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
10.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
9.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
9.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
8.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
8.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
8.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
6.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
5.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
5.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
3.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
3.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1.4
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
0.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.7
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.
IGLV1-40 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
145.1
Number of samples
207
Samples
Sample
Description
TPM
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1277.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
912.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
746.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
594.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
565.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
548.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
502.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
489.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
479.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
470.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
447.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
445.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
436.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
421.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
384.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
379.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
352.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
351.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
350.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
350.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
346.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
340.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
330.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
327.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
316.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
303.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
296.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
296.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
292.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
277.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
272.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
264.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
240.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
233.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
232.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
230.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
229.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
227.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
224.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
224.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
213.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
211.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
209.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
207.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
204.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
201.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
198.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
197.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
194.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
191.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
190.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
184.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
183.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
182.2
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
182.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
180.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
177.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
170.7
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
170.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
168.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
166.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
166.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
165.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
162.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
162.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
161.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
158.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
157.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
157.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
154.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
152.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
150.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
143.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
143.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
142.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
141.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
141.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
140.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
138.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
138.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
135.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
129.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
128.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
127.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
124.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
123.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
123.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
123.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
123.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
119.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
118.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
118.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
115.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
114.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
113.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
113.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
112.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
111.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
109.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
107.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
102.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
98.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
98.1
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
98.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
97.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
97.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
95.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
94.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
93.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
93.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
93.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
92.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
89.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
89.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
87.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
86.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
85.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
84.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
84.5
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
84.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
83.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
80.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
79.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
76.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
72.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
72.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
71.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
71.1
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
70.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
69.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
67.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
66.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
65.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
62.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
61.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
61.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
58.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
58.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
54.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
53.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
52.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
47.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
46.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
43.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
43.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
42.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
42.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
41.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
39.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
39.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
38.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
38.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
37.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
36.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
34.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
33.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
33.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
31.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
30.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
26.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
26.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
25.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
24.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
24.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
22.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
22.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
21.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
21.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
21.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
20.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
20.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
20.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
19.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
19.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
18.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
18.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
16.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
16.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
16.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
14.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
14.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
12.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
11.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
11.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
10.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
8.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
8.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
8.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
6.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
5.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
5.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
5.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
3.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
3.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
2.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
2.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
1.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
The Human Protein Atlas project is funded
