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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.
IGHV3-33 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
135.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
3606.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
2101.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1404.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1041.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
959.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
883.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
868.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
715.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
620.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
619.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
614.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
550.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
545.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
545.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
542.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
515.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
510.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
489.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
483.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
479.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
478.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
461.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
438.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
431.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
420.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
406.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
396.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
392.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
388.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
386.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
362.0
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
350.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
337.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
307.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
261.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
254.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
236.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
214.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
212.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
211.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
208.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
203.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
199.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
199.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
189.8
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
188.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
186.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
184.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
183.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
179.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
174.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
159.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
158.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
146.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
145.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
145.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
144.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
143.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
136.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
136.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
135.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
135.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
133.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
128.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
125.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
122.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
116.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
112.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
107.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
105.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
104.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
103.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
101.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
100.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
100.3
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
98.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
97.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
94.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
93.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
92.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
86.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
85.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
85.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
79.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
79.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
77.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
75.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
73.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
72.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
72.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
70.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
70.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
68.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
68.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
65.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
60.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
59.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
59.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
58.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
57.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
57.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
57.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
57.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
54.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
53.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
51.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
45.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
44.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
44.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
44.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
42.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
42.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
40.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
40.4
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
37.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
37.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
37.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
37.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
36.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
35.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
35.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
35.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
34.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
34.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
31.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
30.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
30.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
30.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
29.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
26.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
25.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
24.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
24.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
23.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
23.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
23.1
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
22.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
22.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
22.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
22.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
21.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
21.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
21.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
21.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
20.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
20.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
19.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
18.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
18.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
17.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
17.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
15.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
14.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
14.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
14.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
14.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
14.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
14.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
13.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
12.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
10.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
10.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
10.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
9.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
9.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
9.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
9.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
8.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
8.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
7.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
7.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
7.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
5.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
5.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
4.7
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
4.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
4.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
4.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
4.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
3.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.6
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
3.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1.0
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
0.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
0.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
0.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
0.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
0.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
0.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
0.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
0.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
0.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
0.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
0.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
0.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
0.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
0.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
0.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
0.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
0.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
0.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
0.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
0.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
0.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
0.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
0.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
0.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
0.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
0.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
0.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
0.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
0.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
0.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
0.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
0.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 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.
IGHV3-33 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
260.6
Number of samples
486
Samples
Sample
Description
TPM
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
2621.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
2035.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
2010.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1870.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1742.2
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1717.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1629.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1510.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1378.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1146.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
1111.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1089.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1054.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1049.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1046.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1014.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
958.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
951.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
951.1
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
920.2
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
907.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
857.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
840.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
837.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
819.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
809.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
805.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
802.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
799.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
781.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
775.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
766.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
759.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
726.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
718.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
706.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
694.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
680.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
669.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
625.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
622.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
621.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
619.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
614.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
609.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
606.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
601.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
599.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
591.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
588.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
586.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
586.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
579.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
569.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
569.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
562.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
560.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
557.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
546.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
546.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
544.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
541.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
540.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
535.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
528.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
525.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
525.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
517.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
513.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
513.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
512.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
512.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
509.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
499.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
498.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
497.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
496.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
490.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
485.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
476.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
476.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
468.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
463.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
458.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
453.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
443.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
441.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
439.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
434.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
432.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
426.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
420.7
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
420.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
411.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
408.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
392.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
390.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
388.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
386.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
385.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
384.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
377.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
376.8
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
376.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
375.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
371.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
370.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
366.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
362.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
360.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
358.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
353.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
353.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
351.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
350.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
348.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
346.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
346.7
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
344.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
344.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
342.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
341.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
336.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
331.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
331.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
329.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
329.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
327.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
326.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
325.6
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
324.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
323.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
320.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
318.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
316.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
315.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
314.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
312.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
311.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
311.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
309.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
307.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
307.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
305.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
304.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
304.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
303.1
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
299.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
298.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
292.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
291.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
291.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
290.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
287.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
286.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
284.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
283.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
282.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
278.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
278.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
275.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
273.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
273.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
267.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
257.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
257.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
257.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
257.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
256.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
255.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
255.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
254.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
254.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
252.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
250.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
247.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
242.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
242.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
241.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
235.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
234.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
233.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
229.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
229.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
229.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
226.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
226.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
226.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
225.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
223.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
222.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
222.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
221.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
220.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
219.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
219.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
213.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
213.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
207.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
205.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
204.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
203.2
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
202.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
202.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
201.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
201.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
198.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
197.0
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
193.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
192.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
191.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
190.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
190.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
190.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
188.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
187.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
184.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
183.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
181.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
181.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
181.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
180.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
179.9
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
179.0
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
176.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
175.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
174.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
174.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
174.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
173.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
170.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
170.0
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
169.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
165.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
165.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
164.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
163.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
160.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
160.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
158.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
158.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
157.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
157.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
157.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
156.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
156.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
155.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
151.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
150.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
150.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
150.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
149.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
148.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
147.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
146.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
146.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
144.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
143.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
140.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
139.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
138.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
138.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
136.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
132.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
130.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
129.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
129.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
129.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
128.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
125.0
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
124.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
124.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
123.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
123.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
123.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
123.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
121.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
120.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
118.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
118.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
118.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
116.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
115.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
114.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
114.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
114.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
113.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
113.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
111.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
110.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
110.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
110.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
109.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
108.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
106.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
106.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
106.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
106.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
105.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
104.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
104.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
104.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
103.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
103.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
102.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
100.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
100.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
100.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
100.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
100.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
99.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
99.3
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
98.6
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
98.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
97.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
97.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
96.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
95.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
93.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
93.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
93.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
92.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
90.5
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
90.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
89.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
89.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
88.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
87.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
86.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
85.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
85.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
84.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
83.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
83.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
82.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
81.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
81.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
81.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
79.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
77.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
76.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
76.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
76.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
75.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
74.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
73.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
73.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
72.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
71.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
70.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
70.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
69.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
69.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
68.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
67.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
67.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
66.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
66.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
65.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
62.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
61.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
61.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
59.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
58.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
55.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
55.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
55.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
54.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
54.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
52.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
52.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.8
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
51.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
51.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
50.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
49.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
49.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
49.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
48.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
48.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
48.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
46.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
45.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
45.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
45.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
45.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
44.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
44.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
43.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
41.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
40.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
40.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
39.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
39.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
39.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
39.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
38.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
38.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
36.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
35.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
34.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
34.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
34.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
34.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
33.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
33.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
32.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
32.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
32.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
31.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
31.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
31.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
31.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
31.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
30.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
30.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
30.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
28.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
28.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
28.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
27.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
27.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
27.6
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
27.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
27.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
27.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
25.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
24.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
24.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
23.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
23.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
23.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
23.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
23.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
22.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
22.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
22.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
21.9
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
21.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
21.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
21.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
20.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
19.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
19.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
18.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
17.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
16.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
16.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
16.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
14.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
13.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
13.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
13.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
11.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
10.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
10.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
9.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
8.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
8.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
7.8
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
7.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
6.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
5.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
5.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
4.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
4.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
4.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
4.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
4.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
3.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
2.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
2.0
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
1.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
0.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
IGHV3-33 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
124.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
2464.1
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1201.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
958.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
891.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
605.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
519.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
494.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
302.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
217.5
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
172.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
162.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
155.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
154.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
149.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
143.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
139.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
116.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
104.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
104.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
94.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
87.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
80.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
75.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
71.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
69.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
67.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
66.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
63.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
59.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
58.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
55.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
52.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
49.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
49.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
49.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
48.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
46.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
45.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
45.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
41.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
39.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
39.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
38.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
36.3
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
35.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
34.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
32.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
27.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
21.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
21.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
21.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
20.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
20.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
15.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
15.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
13.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
12.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
10.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
9.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
8.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
6.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
5.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
5.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
5.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
5.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
4.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
3.2
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
2.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
2.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
0.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
0.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
0.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
0.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
0.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
0.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
0.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 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.
IGHV3-33 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
337.4
Number of samples
207
Samples
Sample
Description
TPM
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
6142.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
4446.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
2584.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1519.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1508.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
1344.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
1235.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
1208.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1153.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
1096.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
1089.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
1046.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
999.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
978.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
925.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
859.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
854.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
831.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
825.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
792.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
770.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
750.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
749.9
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
704.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
703.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
700.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
683.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
675.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
650.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
632.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
624.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
604.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
604.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
601.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
576.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
556.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
530.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
517.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
514.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
512.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
488.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
477.9
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
456.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
449.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
448.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
443.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
436.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
435.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
432.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
431.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
429.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
416.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
395.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
392.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
392.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
391.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
383.2
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
361.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
350.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
344.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
339.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
337.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
321.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
314.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
311.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
307.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
300.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
299.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
298.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
295.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
286.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
282.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
278.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
274.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
267.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
248.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
246.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
243.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
238.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
238.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
236.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
225.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
218.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
217.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
216.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
215.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
209.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
209.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
201.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
200.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
190.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
189.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
187.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
185.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
185.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
179.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
174.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
174.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
172.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
171.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
169.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
167.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
167.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
166.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
161.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
160.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
160.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
157.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
153.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
152.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
151.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
146.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
137.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
136.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
134.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
133.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
132.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
132.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
131.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
130.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
125.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
124.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
124.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
122.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
122.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
119.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
119.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
115.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
114.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
114.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
113.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
112.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
111.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
109.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
107.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
106.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
102.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
101.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
98.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
98.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
93.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
89.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
87.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
82.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
82.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
80.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
79.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
77.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
77.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
76.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
72.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
72.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
70.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
69.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
68.4
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
60.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
58.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
51.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
48.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
47.7
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
47.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
45.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
41.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
39.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
38.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
38.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
37.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
33.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
30.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
29.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
27.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
26.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
26.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
24.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
24.1
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
23.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
22.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
22.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
21.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
21.6
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
21.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
20.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
19.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
18.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
16.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
16.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
14.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
11.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
10.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
9.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
9.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
7.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
7.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
6.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
6.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
6.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
6.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
5.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
2.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
2.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
2.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
0.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.