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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.
TUBB3 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
32.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
242.5
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
156.1
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
145.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
130.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
128.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
107.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
100.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
99.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
98.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
98.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
97.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
96.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
94.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
93.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
84.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
78.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
78.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
76.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
74.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
73.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
72.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
72.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
68.9
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
68.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
67.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
66.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
66.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
66.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
66.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
65.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
65.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
65.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
63.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
63.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
61.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
60.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
60.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
59.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
58.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
58.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
58.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
58.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
58.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
57.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
57.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
56.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
55.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
52.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
52.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
51.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
51.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
49.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
49.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
49.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
48.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
47.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
46.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
46.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
45.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
44.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
44.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
43.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
43.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
42.9
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
42.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
42.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
42.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
41.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
41.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
40.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
40.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
40.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
39.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
38.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
37.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
37.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
37.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
37.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
36.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
36.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
35.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
35.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
35.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
34.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
34.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
33.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
33.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
32.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
32.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
32.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
32.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
31.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
31.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
31.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
31.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
31.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
31.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
31.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
30.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
30.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
29.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
29.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
29.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
29.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
28.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
27.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
27.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
26.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
25.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
25.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
24.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
24.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
24.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
24.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
24.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
24.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
24.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
24.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
23.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
22.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
22.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
22.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
22.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
22.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
22.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
21.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
21.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
21.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
21.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
21.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
21.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
21.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
20.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
20.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
20.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
20.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
19.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
19.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
19.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
19.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
18.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
18.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
18.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
18.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
18.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
18.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
18.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
18.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
18.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
18.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
18.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
18.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
18.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
18.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.0
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
17.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
17.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
17.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
16.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
16.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
16.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
15.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
15.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
15.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
15.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
15.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
14.7
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
14.6
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
14.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
14.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
14.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
14.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
14.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
14.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
13.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
13.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
13.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
12.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
12.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
12.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
12.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
12.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
11.7
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
11.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
11.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
10.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
10.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
10.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
10.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
10.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
10.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
10.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
10.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
10.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
10.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
9.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
9.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
9.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
8.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
8.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
8.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
8.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
8.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
8.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
8.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.0
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
7.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
7.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
7.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
7.0
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
6.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
6.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
6.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
6.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
6.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
6.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
5.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
5.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
5.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
5.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
5.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
4.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
4.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
3.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 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.
TUBB3 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
18.5
Number of samples
486
Samples
Sample
Description
TPM
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
204.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
101.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
97.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
95.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
90.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
77.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
76.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
75.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
69.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
68.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
66.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
65.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
64.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
64.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
60.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
60.9
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
60.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
57.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
57.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
57.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
56.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
56.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
55.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
54.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
53.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
53.0
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
52.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
52.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
51.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
51.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
51.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
51.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
51.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
50.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
49.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
49.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
49.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
48.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
47.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
46.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
44.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
43.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
43.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
42.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
42.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
41.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
41.5
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
41.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
40.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
39.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
38.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
38.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
38.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
38.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
38.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
38.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
38.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
37.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
37.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
37.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
35.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
34.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
34.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
33.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
33.0
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
32.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
32.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
32.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
32.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
32.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
31.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
31.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
31.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
31.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
31.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
31.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
31.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
31.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
30.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
30.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
30.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
30.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
29.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
29.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
29.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
29.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
29.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
29.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
29.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
28.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
28.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
28.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
28.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
27.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
27.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.4
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
27.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
27.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
27.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
26.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
26.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
26.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
26.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
26.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
26.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
26.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
26.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
26.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
26.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
25.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
25.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
25.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
24.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
24.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
24.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
24.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
24.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
23.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
23.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
23.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
23.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
23.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
23.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
23.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
22.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
22.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
22.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
22.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
21.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
21.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
21.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
21.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
21.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
21.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
21.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
21.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
21.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
21.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
21.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
21.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
20.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
20.8
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
20.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
20.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
20.4
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
20.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
20.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
19.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
19.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
19.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
19.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
19.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
19.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
19.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
19.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
19.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
19.0
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
18.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
18.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
18.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
18.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
18.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
18.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
18.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
17.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
17.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
17.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
17.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
17.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
17.5
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
17.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
17.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
17.2
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
17.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
17.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
17.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
16.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
16.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
16.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
16.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
16.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
16.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
16.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
16.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
16.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
16.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
16.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
16.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
16.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
16.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
16.0
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
16.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
15.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
15.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
15.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
15.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
15.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
15.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
15.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
15.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
15.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
15.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
15.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
15.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
15.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
15.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
14.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
14.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
14.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
14.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
14.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
14.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
14.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
14.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
14.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
14.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
14.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
14.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
14.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
14.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
14.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
13.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
13.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
13.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
13.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
13.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
13.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
13.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
13.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
13.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
13.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
13.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
13.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
12.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
12.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
12.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
12.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
12.7
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
12.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
12.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
12.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
12.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
12.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
12.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
12.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
12.1
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
12.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
12.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
11.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
11.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
11.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
11.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
11.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
11.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
11.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
11.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
11.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
11.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
11.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
11.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
11.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
11.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
10.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
10.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
10.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
10.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
10.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
10.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
10.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
10.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
10.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
10.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
10.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
10.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
10.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
10.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
10.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
9.9
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
9.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
9.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
9.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
9.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
9.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
9.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
9.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
9.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
9.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
9.2
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
9.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
9.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
9.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
9.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
9.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
9.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
8.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
8.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
8.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
8.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
8.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
8.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
8.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
8.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
8.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
8.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
8.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
8.4
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
8.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
8.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
8.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
8.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
8.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
8.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
8.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
8.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
8.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
8.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
8.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
7.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
7.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
7.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
7.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
7.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
7.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
7.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
7.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
7.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
7.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
7.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
7.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
7.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
7.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
7.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
7.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
7.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
7.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
7.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
7.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
7.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
7.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
6.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
6.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
6.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
6.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
6.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
6.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
6.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
6.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
6.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
6.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
6.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
6.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
6.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
6.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
6.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
6.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
6.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
6.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
6.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
6.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
6.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
6.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
5.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
5.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
5.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
5.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
5.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
5.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
5.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
5.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
5.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
5.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
5.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
5.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
5.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
5.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
5.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
5.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
5.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
5.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
5.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
5.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
4.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
4.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
4.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
4.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
4.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
4.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
4.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
4.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
4.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
4.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
4.4
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
4.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
4.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
4.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
4.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
4.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
4.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
4.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
4.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
4.1
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
4.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
4.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
4.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
4.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
3.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
3.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
3.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
3.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
3.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
3.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
3.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
3.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
3.7
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
3.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
3.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
3.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
3.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
3.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
3.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
3.4
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
3.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
3.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
3.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
3.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
3.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
3.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
3.2
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
3.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
3.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
3.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
3.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
2.9
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
2.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
2.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
2.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
2.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
2.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
2.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
2.4
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
2.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
2.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
2.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
2.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
2.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
2.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
2.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1.2
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
1.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
0.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
0.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
0.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
0.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
0.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
0.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
0.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
0.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
0.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
0.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
0.4
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
TUBB3 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
34.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
148.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
117.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
111.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
110.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
100.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
96.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
89.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
87.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
77.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
74.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
73.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
69.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
68.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
61.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
59.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
59.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
57.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
57.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
55.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
53.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
52.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
51.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
47.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
46.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
43.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
43.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
40.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
38.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
37.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
36.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
32.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
32.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
30.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
29.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
26.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
25.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
25.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
25.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
25.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
23.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
22.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
22.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
21.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
20.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
20.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
19.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
19.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
18.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
17.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
16.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
15.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
15.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
14.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
13.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
13.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
12.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
12.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
12.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
12.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
12.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
12.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
12.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
11.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
10.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
9.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
9.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
8.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
8.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
8.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
8.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
8.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
8.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
7.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
7.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
7.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.1
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
4.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
3.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 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.
TUBB3 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
15.3
Number of samples
207
Samples
Sample
Description
TPM
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
97.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
79.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
66.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
62.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
61.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
59.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
56.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
54.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
54.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
50.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
49.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
48.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
46.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
46.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
39.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
39.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
39.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
38.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
38.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
36.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
32.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
31.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
30.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
29.9
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
29.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
29.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
26.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
26.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
25.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
24.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
24.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
24.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
24.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
24.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
23.7
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
23.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
23.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
22.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
22.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
22.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
22.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
22.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
21.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
21.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
21.1
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
20.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
20.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
20.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
19.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
19.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
19.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
19.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
19.4
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
19.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
19.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
19.1
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
18.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
18.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
18.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
18.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
18.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
18.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
17.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
17.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
17.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
17.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
17.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
17.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
16.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
16.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
15.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
15.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
14.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
14.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
14.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
14.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
14.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
14.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
14.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
14.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
14.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
14.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
14.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
14.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
13.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
13.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
13.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
13.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
13.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
13.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
13.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
13.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
13.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
12.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
12.8
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
12.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
12.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
12.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
12.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
11.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
11.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
11.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
11.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
11.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
10.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
10.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
10.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
10.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
9.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
9.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
9.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
9.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
9.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
9.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
9.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
8.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
8.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
8.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
8.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
8.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
7.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
7.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
7.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
7.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
7.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
7.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
7.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
7.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
7.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
7.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
7.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
7.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
6.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
6.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
6.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
6.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
6.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
6.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
6.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
6.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
6.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
6.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
6.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
6.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
6.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
6.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
5.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
5.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
5.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
5.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
5.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
5.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
5.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
5.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
5.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
5.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
5.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
5.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
4.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
4.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
4.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
4.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
4.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
4.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.7
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
4.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
4.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
4.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
4.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
4.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
3.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
3.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
3.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
3.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
3.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
3.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
3.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
3.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
3.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
2.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
2.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
2.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
2.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
2.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
2.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
2.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
2.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
2.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
2.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
1.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
1.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
1.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
1.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
1.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
1.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
1.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1.2
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
0.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
0.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
0.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
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Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
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Tumor
-0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
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Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
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Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
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Normal
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
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Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
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Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
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Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
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Normal
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.4
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
