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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.
IGLV2-11 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
220.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
18117.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
3499.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1985.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1567.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1396.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1253.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1209.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1184.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1055.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
734.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
727.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
683.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
680.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
589.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
564.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
524.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
514.9
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
512.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
478.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
475.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
466.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
442.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
402.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
387.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
362.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
358.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
357.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
338.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
338.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
336.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
325.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
323.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
317.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
307.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
306.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
304.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
260.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
246.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
237.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
235.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
231.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
226.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
224.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
212.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
210.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
204.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
203.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
196.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
196.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
184.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
184.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
179.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
178.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
175.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
173.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
170.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
168.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
155.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
155.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
151.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
149.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
148.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
145.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
144.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
144.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
142.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
141.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
140.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
139.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
137.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
129.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
128.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
124.5
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
122.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
115.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
113.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
112.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
110.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
105.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
103.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
102.9
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
101.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
99.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
98.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
90.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
90.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
90.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
89.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
88.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
88.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
88.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
87.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
86.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
86.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
84.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
80.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
80.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
79.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
77.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
76.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
75.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
71.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
70.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
69.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
69.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
67.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
67.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
65.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
63.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
61.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
58.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
56.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
55.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
52.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
51.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
51.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
51.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
50.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
50.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
49.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
48.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
48.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
47.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
46.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
44.8
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
44.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
44.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
44.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
44.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
42.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
41.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
39.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
38.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
37.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
35.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
34.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
34.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
33.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
32.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
32.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
32.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
32.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
31.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
31.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
31.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
30.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
29.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
29.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
28.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
28.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
27.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
26.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
26.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
26.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
26.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
26.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
26.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
26.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
23.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
22.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
19.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
18.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
18.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
18.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
17.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
17.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
16.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
16.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
16.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
15.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
15.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
13.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
13.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
12.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
12.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
10.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
10.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
9.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
9.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
8.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
8.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
8.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
8.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
7.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
7.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
6.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
6.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
6.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
6.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
6.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
5.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
5.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
4.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
4.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
4.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
4.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
4.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
3.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
3.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
3.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
3.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
3.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2.3
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
0.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
0.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
0.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
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.
IGLV2-11 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
364.2
Number of samples
486
Samples
Sample
Description
TPM
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
6702.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
4758.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
4634.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
3650.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
2994.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
2852.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
2606.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
2199.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
2112.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
1863.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1709.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
1698.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1554.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
1489.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
1346.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1292.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1286.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1187.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
1182.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1174.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1098.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1063.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1025.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
951.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
951.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
950.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
940.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
930.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
918.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
901.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
887.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
877.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
876.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
868.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
865.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
835.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
832.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
832.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
830.8
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
825.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
824.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
810.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
796.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
789.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
785.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
777.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
772.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
769.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
767.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
764.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
741.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
739.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
726.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
722.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
722.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
715.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
714.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
714.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
707.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
699.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
695.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
694.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
689.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
687.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
673.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
667.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
664.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
663.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
642.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
623.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
621.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
610.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
609.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
603.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
597.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
597.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
597.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
594.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
590.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
575.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
562.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
561.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
560.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
557.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
555.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
554.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
551.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
545.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
526.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
522.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
522.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
520.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
517.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
517.3
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
516.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
516.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
512.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
506.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
505.8
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
499.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
497.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
496.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
494.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
491.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
490.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
489.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
486.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
486.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
476.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
476.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
474.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
474.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
474.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
469.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
461.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
450.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
449.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
449.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
447.1
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
443.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
442.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
440.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
439.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
436.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
435.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
435.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
434.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
430.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
430.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
427.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
426.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
422.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
422.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
421.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
412.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
402.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
397.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
396.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
395.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
394.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
391.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
386.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
383.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
381.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
375.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
374.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
373.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
370.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
370.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
368.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
367.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
367.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
363.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
363.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
363.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
363.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
362.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
360.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
354.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
352.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
348.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
347.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
347.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
346.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
344.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
344.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
343.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
341.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
339.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
339.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
328.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
328.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
327.1
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
326.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
325.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
321.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
321.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
319.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
317.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
317.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
316.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
315.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
312.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
308.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
308.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
305.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
305.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
302.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
301.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
300.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
299.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
299.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
299.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
299.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
298.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
297.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
297.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
294.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
292.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
291.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
282.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
278.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
277.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
275.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
271.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
270.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
268.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
267.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
267.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
265.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
265.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
263.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
261.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
258.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
257.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
256.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
255.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
254.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
253.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
251.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
248.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
244.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
244.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
244.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
241.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
240.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
240.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
240.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
240.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
239.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
238.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
237.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
237.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
235.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
234.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
233.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
233.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
233.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
232.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
231.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
230.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
230.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
229.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
221.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
217.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
215.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
214.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
214.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
212.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
209.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
208.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
208.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
206.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
204.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
204.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
200.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
196.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
189.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
186.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
184.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
184.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
182.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
181.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
179.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
179.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
178.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
177.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
176.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
174.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
174.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
174.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
173.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
173.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
173.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
171.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
171.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
171.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
170.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
169.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
169.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
167.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
166.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
166.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
165.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
165.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
163.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
162.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
160.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
160.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
159.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
159.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
159.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
158.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
158.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
157.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
156.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
155.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
153.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
153.1
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
152.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
152.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
151.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
151.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
150.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
149.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
149.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
148.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
147.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
146.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
146.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
145.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
142.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
142.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
140.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
138.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
138.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
137.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
136.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
135.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
134.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
133.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
132.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
132.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
132.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
129.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
128.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
128.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
127.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
126.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
126.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
122.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
121.5
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
120.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
119.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
118.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
117.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
117.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
116.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
115.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
114.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
114.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
114.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
112.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
111.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
111.2
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
111.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
110.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
110.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
109.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
109.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
107.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
105.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
104.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
103.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
98.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
97.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
95.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
95.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
94.6
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
93.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
92.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
91.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
88.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
86.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
85.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
85.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
84.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
84.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
83.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
82.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
82.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
81.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
81.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
80.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
80.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
78.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
75.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
75.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
74.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
74.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
73.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
72.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
72.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
71.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
71.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
70.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
69.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
68.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
67.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
67.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
67.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
67.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
66.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
65.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
65.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
65.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
63.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
63.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
62.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
62.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
60.6
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
60.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
57.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
56.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
56.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
53.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
53.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
52.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
52.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
51.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
51.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
51.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
51.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
49.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
49.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
48.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
48.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
46.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
45.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
44.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
44.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
43.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
42.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
41.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
41.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
38.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
38.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
37.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
36.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
34.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
33.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
33.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
33.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
33.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
32.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
29.4
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
28.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
28.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
28.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
26.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
25.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
25.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
23.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
22.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
22.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
20.7
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
20.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
19.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
18.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
18.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
18.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
17.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
16.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
16.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
16.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
16.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
14.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
14.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
12.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
11.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
10.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
10.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
9.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
6.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
6.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
6.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
5.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
5.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
4.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
4.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
4.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
4.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
3.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 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.
IGLV2-11 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
130.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1362.7
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1361.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
817.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
533.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
452.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
450.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
373.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
371.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
345.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
343.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
307.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
277.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
253.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
247.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
216.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
215.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
209.6
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
192.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
173.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
167.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
160.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
149.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
132.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
125.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
120.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
111.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
104.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
93.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
92.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
90.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
89.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
83.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
82.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
82.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
80.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
77.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
76.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
76.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
73.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
62.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
61.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
58.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
44.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
43.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
43.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
40.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.9
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
36.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
33.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
31.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
30.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
30.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
27.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
27.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
26.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
25.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
24.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
22.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
22.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
18.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
16.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
16.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
13.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
13.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
11.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
10.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
9.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
8.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
7.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
6.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
4.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
4.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
4.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
0.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.5
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGLV2-11 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
371.0
Number of samples
207
Samples
Sample
Description
TPM
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
3741.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
2940.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
2042.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1858.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1740.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
1646.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
1148.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1140.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1013.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
991.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
914.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
896.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
894.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
881.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
873.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
869.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
864.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
860.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
854.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
847.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
837.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
834.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
832.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
802.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
780.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
763.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
720.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
703.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
702.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
676.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
668.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
665.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
657.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
657.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
655.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
648.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
628.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
619.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
600.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
575.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
567.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
538.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
529.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
529.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
492.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
479.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
477.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
477.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
472.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
470.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
465.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
463.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
454.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
453.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
444.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
439.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
439.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
438.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
435.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
435.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
430.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
421.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
408.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
404.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
401.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
397.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
393.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
393.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
392.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
389.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
388.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
383.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
382.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
381.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
376.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
374.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
373.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
373.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
371.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
368.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
367.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
363.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
355.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
354.3
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
351.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
346.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
345.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
335.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
329.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
328.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
327.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
323.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
323.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
319.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
314.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
310.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
306.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
305.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
303.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
295.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
283.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
281.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
280.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
270.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
264.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
261.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
260.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
249.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
246.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
246.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
245.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
239.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
229.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
223.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
218.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
212.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
212.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
204.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
203.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
200.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
199.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
198.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
190.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
190.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
186.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
180.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
177.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
176.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
170.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
166.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
161.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
158.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
150.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
146.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
145.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
144.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
135.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
133.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
129.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
128.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
127.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
124.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
124.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
123.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
121.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
116.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
115.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
106.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
106.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
105.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
102.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
100.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
95.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
95.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
94.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
94.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
93.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
92.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
92.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
92.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
86.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
85.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
72.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
68.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
63.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
63.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
62.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
62.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
62.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
60.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
49.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
48.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
47.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
47.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
45.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
44.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
43.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
41.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
41.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
40.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
40.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
39.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
38.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
30.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
29.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
27.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
22.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
19.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
18.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
17.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
17.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
15.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
15.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
12.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
11.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
11.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
8.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
8.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
7.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
5.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
4.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.7
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
4.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
2.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.8
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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
