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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1-33 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
118.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
2388.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
2319.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1714.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1240.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
960.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
906.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
784.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
626.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
584.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
530.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
500.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
494.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
489.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
478.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
470.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
433.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
424.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
415.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
407.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
388.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
352.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
335.9
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
307.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
300.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
298.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
281.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
271.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
268.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
248.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
246.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
235.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
231.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
217.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
216.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
212.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
208.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
202.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
197.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
196.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
190.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
184.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
181.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
178.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
170.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
166.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
163.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
159.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
159.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
149.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
147.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
144.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
144.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
140.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
140.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
137.8
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
134.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
132.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
129.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
118.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
117.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
116.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
115.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
113.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
107.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
106.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
97.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
95.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
94.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
91.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
90.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
88.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
88.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
88.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
87.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
87.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
85.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
84.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
83.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
83.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
80.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
80.3
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
79.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
74.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
74.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
72.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
71.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
70.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
70.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
68.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
68.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
68.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
67.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
63.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
62.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
60.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
59.2
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
59.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
59.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
57.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
57.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
56.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
53.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
53.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
52.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
49.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
47.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
45.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
43.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
41.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
39.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
39.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
37.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
36.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
36.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
34.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
34.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
34.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
33.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
32.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
30.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
30.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
29.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
28.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
27.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
27.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.7
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
26.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
25.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
24.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
24.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
24.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
22.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
21.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
21.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
20.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
19.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
18.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
18.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
18.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
18.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
17.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
16.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
16.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
15.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
14.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
14.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
14.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
14.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
14.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
13.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
13.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
13.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
13.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
12.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
12.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
11.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
9.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
9.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
8.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
8.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
8.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
8.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
8.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
7.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
7.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
6.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
6.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
6.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
6.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
6.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
6.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
5.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
5.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
5.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
5.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
4.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
4.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
4.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
4.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
4.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
3.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
3.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
3.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1.9
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1.1
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
0.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
0.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
0.2
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
0.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1-33 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
236.1
Number of samples
486
Samples
Sample
Description
TPM
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
3893.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
3865.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
3099.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1681.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1522.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1416.9
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
1402.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1228.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1157.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
1114.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1093.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1090.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
994.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
951.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
921.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
918.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
906.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
839.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
777.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
771.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
766.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
755.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
753.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
744.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
714.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
702.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
696.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
695.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
680.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
669.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
651.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
649.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
648.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
642.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
626.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
625.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
625.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
619.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
616.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
615.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
597.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
578.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
572.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
561.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
546.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
545.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
536.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
528.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
526.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
502.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
501.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
500.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
498.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
493.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
487.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
485.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
485.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
479.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
475.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
475.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
468.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
468.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
460.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
458.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
457.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
455.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
455.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
450.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
450.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
441.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
432.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
432.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
419.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
419.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
416.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
411.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
409.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
405.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
399.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
394.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
393.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
391.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
389.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
388.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
386.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
386.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
383.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
380.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
377.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
376.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
376.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
374.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
372.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
367.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
362.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
362.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
361.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
347.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
347.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
344.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
341.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
333.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
332.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
331.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
327.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
326.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
320.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
319.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
317.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
314.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
313.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
313.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
311.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
311.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
309.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
304.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
303.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
302.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
301.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
296.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
296.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
291.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
288.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
288.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
287.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
286.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
285.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
284.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
280.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
279.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
277.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
272.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
272.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
272.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
268.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
267.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
265.6
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
261.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
255.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
254.9
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
254.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
252.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
250.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
249.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
249.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
249.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
247.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
246.3
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
244.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
244.1
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
244.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
241.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
241.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
241.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
241.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
240.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
238.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
237.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
236.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
233.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
232.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
232.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
231.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
229.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
229.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
229.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
228.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
225.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
224.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
222.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
217.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
217.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
217.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
217.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
216.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
213.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
213.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
210.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
208.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
204.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
203.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
203.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
202.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
202.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
201.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
198.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
195.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
195.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
194.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
193.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
190.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
190.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
185.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
182.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
181.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
181.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
181.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
180.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
180.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
179.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
179.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
179.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
175.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
173.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
171.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
171.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
170.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
167.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
165.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
165.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
164.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
163.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
163.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
162.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
160.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
160.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
156.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
156.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
155.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
154.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
153.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
153.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
152.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
152.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
152.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
149.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
146.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
145.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
143.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
143.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
143.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
142.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
139.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
139.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
136.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
135.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
133.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
133.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
133.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
132.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
130.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
129.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
128.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
127.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
125.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
124.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
123.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
122.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
121.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
121.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
120.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
119.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
118.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
118.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
117.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
117.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
116.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
115.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
115.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
114.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
114.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
112.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
111.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
110.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
110.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
109.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
109.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
108.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
108.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
108.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
107.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
107.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
107.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
106.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
105.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
105.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
105.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
104.6
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
104.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
103.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
103.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
102.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
102.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
102.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
102.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
102.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
101.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
101.3
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
100.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
100.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
100.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
99.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
99.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
95.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
94.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
94.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
94.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
93.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
93.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
93.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
92.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
91.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
90.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
90.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
88.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
87.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
85.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
85.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
83.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
82.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
81.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
80.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
80.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
80.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
79.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
79.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
79.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
79.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
79.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
77.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
77.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
75.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
75.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
73.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
73.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
73.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
73.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
72.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
72.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
69.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
69.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
68.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
68.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
66.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
65.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
65.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
65.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
64.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
64.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
63.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
63.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
62.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
61.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
60.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
60.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
59.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
58.9
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
57.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
56.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
56.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
56.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
55.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
53.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
53.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
52.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
51.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
51.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
50.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
48.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
48.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
48.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
47.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
47.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
46.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
46.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
45.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
45.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
44.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
44.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
43.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
43.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
43.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
42.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
42.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
41.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
41.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
41.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
40.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
40.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
39.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
39.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
38.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
37.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
37.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
36.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
36.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
36.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
36.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
36.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
35.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
35.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
34.9
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
34.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
34.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
34.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
33.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
33.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
33.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
31.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
30.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
29.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
29.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
29.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
29.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
28.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
28.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
28.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
27.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
27.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
27.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
27.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
27.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
26.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
26.8
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
26.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
26.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
26.1
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
26.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
25.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
24.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
22.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
22.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
22.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
22.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
21.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
20.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
20.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
20.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
20.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
19.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
19.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
19.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
19.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
18.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
18.8
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
18.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
18.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
18.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
18.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
17.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
17.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
17.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
17.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
17.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
15.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
14.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
14.2
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
12.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
12.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
11.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
11.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
11.2
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
11.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
10.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
8.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
8.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
8.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
8.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
7.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
7.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
7.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
6.1
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
5.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
5.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
5.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
5.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
5.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
5.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
5.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
4.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
3.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
3.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
3.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
2.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
0.9
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
0.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1-33 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
80.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1104.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
657.8
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
560.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
530.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
499.1
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
386.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
289.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
215.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
199.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
197.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
140.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
133.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
113.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
99.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
97.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
93.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
85.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
83.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
80.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
64.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
63.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
62.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
62.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
60.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
60.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
58.4
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
57.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
54.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
52.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
50.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
49.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
40.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
40.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
36.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
36.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
32.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
31.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
30.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
28.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.1
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
28.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
27.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
24.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
22.4
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
21.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
20.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
19.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
17.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
17.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
17.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
16.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
16.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
15.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
12.9
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
12.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
10.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
10.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
9.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
8.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
7.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
6.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
6.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
6.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
4.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
4.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
4.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
3.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
3.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.6
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
0.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
0.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
0.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGKV1-33 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
224.8
Number of samples
207
Samples
Sample
Description
TPM
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
2920.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
2235.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1226.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
968.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
952.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
951.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
946.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
913.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
864.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
855.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
837.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
820.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
807.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
775.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
670.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
583.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
574.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
572.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
545.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
516.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
509.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
504.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
479.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
470.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
456.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
437.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
435.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
426.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
390.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
387.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
378.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
369.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
358.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
351.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
345.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
327.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
325.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
316.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
312.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
311.4
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
307.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
300.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
299.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
296.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
294.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
289.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
288.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
285.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
279.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
274.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
271.9
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
268.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
266.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
266.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
265.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
263.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
259.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
255.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
253.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
249.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
248.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
246.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
245.5
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
232.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
226.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
224.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
222.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
216.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
205.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
202.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
196.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
195.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
193.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
191.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
186.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
184.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
183.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
182.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
182.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
181.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
181.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
180.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
178.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
177.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
177.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
168.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
165.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
164.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
164.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
160.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
159.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
159.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
156.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
153.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
152.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
151.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
149.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
149.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
149.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
147.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
147.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
146.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
144.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
137.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
137.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
136.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
134.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
133.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
131.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
127.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
127.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
126.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
118.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
117.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
110.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
107.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
107.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
106.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
103.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
102.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
100.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
96.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
96.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
96.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
94.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
91.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
89.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
87.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
86.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
85.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
85.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
84.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
84.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
83.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
80.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
79.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
79.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
76.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
75.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
72.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
71.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
70.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
69.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
68.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
64.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
60.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
60.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
58.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
58.5
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
53.3
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
51.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
50.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
50.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
49.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
48.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
47.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
47.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
46.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
43.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
42.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
41.4
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
41.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
36.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
36.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
34.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
33.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
32.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
30.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
29.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
27.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
27.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
24.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
22.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
17.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
17.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
17.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
16.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
16.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
16.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
15.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
15.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
14.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
12.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
10.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
9.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
8.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
7.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
6.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
6.4
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
6.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
6.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
5.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
5.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
4.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
2.2
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
2.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
0.8
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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.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.