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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.
TAP1 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
82.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
572.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
513.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
495.7
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
327.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
275.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
247.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
230.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
228.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
225.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
218.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
212.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
204.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
202.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
199.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
190.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
187.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
178.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
176.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
169.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
155.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
151.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
148.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
148.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
146.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
143.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
143.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
141.1
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
140.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
137.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
137.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
132.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
130.5
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
130.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
130.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
128.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
128.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
127.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
124.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
124.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
121.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
120.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
120.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
120.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
118.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
116.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
116.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
115.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
115.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
114.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
114.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
112.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
110.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
110.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
109.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
108.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
107.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
107.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
105.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
104.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
103.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
103.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
103.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
101.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
101.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
101.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
101.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
100.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
100.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
99.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
99.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
98.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
97.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
96.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
95.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
94.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
94.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
92.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
91.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
90.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
90.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
88.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
86.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
86.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
85.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
82.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
82.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
81.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
80.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
80.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
80.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
79.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
79.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
78.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
78.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
77.5
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
77.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
77.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
76.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
75.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
75.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
75.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
72.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
72.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
72.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
72.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
71.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
70.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
70.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
70.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
69.8
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
69.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
69.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
69.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
68.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
68.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
67.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
67.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
67.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
66.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
66.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
66.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
66.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
65.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
65.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
65.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
65.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
64.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
63.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
63.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
63.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
62.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
61.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
61.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
60.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
60.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
60.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
58.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
58.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
58.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
58.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
57.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
57.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
57.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
57.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
57.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
57.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
56.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
56.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
55.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
54.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
54.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
53.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
53.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
53.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
53.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
53.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
53.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.8
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
52.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
52.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
51.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
51.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
51.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
51.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
50.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
50.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
50.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
49.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
49.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
49.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
49.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
49.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
49.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
49.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
48.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
48.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
47.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
46.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
46.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
46.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
46.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
45.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
45.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
43.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
43.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
42.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
42.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
42.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
42.0
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
41.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
41.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
40.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
40.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
39.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
38.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
38.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
38.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
37.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
37.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
36.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
36.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
36.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
36.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
36.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
36.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
35.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
35.7
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
34.9
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
34.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
34.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
34.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
34.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
33.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
33.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
33.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
32.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
31.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
31.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
30.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
30.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
30.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
30.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
29.9
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
29.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
29.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
28.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
27.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
26.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
26.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
26.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
26.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
25.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
25.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
24.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
24.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
24.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
21.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
20.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
20.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
19.8
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
18.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
16.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
14.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
12.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
11.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 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.
TAP1 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
59.3
Number of samples
486
Samples
Sample
Description
TPM
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
284.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
238.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
234.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
224.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
224.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
208.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
206.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
202.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
196.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
195.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
195.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
195.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
190.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
171.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
168.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
167.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
167.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
159.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
159.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
154.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
154.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
152.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
149.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
148.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
147.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
147.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
145.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
143.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
142.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
142.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
139.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
136.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
135.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
135.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
135.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
132.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
132.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
131.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
130.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
130.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
128.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
126.9
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
126.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
123.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
122.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
122.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
121.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
118.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
117.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
115.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
114.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
112.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
112.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
112.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
111.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
109.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
109.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
108.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
108.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
107.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
106.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
105.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
104.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
103.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
100.8
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
100.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
100.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
100.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
99.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
99.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
99.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
98.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
98.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
97.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
94.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
94.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
94.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
93.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
93.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
92.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
91.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
91.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
90.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
90.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
90.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
89.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
87.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
87.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
86.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
86.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
86.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
86.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
85.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
85.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
84.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
84.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
84.5
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
84.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
82.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
82.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
82.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
81.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
81.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
80.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
79.6
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
79.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
79.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
79.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
78.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
78.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
78.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
77.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
77.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
77.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
76.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
76.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
75.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
75.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
74.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
74.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
74.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
74.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
74.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
74.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
73.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
73.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
72.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
71.9
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
71.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
70.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
70.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
70.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
69.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
69.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
69.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
68.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
68.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
67.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
67.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
67.3
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
66.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
66.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
66.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
65.8
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
65.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
65.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
64.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
64.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
63.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
63.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
63.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
63.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
62.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
62.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
62.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
62.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
61.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
61.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
61.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
61.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
61.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
61.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
60.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
60.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
60.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
60.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
60.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
59.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
59.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
58.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
58.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
58.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
58.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
58.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
57.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
57.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
57.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
57.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
57.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
56.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
56.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
56.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
56.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
56.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
55.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
55.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
55.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
55.1
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
55.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
54.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
54.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
54.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
54.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
53.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
53.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
53.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
53.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
52.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
52.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
52.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
52.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
52.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
51.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
51.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
51.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
51.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
51.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
50.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
50.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
50.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
50.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
50.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
49.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
49.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
49.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
49.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
49.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
49.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
49.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
49.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
48.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
48.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
48.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
48.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
48.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
48.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
48.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
47.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
47.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
47.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
47.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
47.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
47.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
46.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
46.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
46.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
46.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
46.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
46.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
46.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
46.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
45.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
45.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
45.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
45.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
45.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
45.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
44.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
44.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
44.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
44.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
44.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
44.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
44.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
44.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
43.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
43.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
43.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
43.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
43.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
43.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
43.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
42.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
42.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
42.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
41.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
41.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
41.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
41.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
41.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
41.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
40.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
40.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
40.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
40.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
40.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
40.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
40.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
40.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
39.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
39.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
39.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
39.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
39.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
38.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
38.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
38.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
38.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
38.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
37.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
37.8
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
37.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
37.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
37.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
37.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
37.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
37.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
37.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
37.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
36.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
36.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
36.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
36.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
36.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
36.2
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
36.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
36.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
36.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
36.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
35.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
35.5
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
35.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
35.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
35.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
35.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
35.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
35.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
35.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
34.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
34.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
34.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
34.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
34.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
34.1
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
34.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
33.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
33.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
33.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
33.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
33.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
33.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
33.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
32.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
32.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
32.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
32.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
32.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
31.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
31.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
31.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
31.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
31.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
31.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
31.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
31.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
31.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
31.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
30.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
30.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
30.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
30.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
30.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
30.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
30.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
30.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
29.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
29.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
29.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
29.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
29.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
28.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
28.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
28.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
28.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
28.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
28.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
28.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
28.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
28.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
28.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
27.9
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
27.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
27.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
27.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
27.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
27.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
27.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
27.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
26.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
26.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
26.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
26.4
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
26.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
26.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
26.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
26.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
25.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
25.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
25.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
25.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
25.2
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
25.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
24.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
24.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
24.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
24.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
24.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
24.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
23.5
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
23.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
23.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
23.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
23.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
23.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
23.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
23.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
23.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
22.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
22.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
22.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
22.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
22.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
22.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
22.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
22.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
22.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
22.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
22.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
21.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
21.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
21.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
21.3
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
21.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
21.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
21.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
20.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
20.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
20.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
20.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
20.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
20.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
20.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
20.1
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
20.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
19.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
19.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
19.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
19.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
18.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
18.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
18.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
18.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
18.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
18.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
18.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
18.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
17.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
16.6
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
16.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
16.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
16.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
15.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
15.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
15.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
15.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
14.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
14.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
13.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
12.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
9.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
8.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
8.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
6.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
5.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
TAP1 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
60.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
177.7
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
137.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
133.3
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
127.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
123.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
111.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
104.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
101.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
101.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
101.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
98.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
95.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
94.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
91.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
87.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
87.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
86.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
86.0
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
85.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
82.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
78.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
75.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
73.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
72.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
72.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
71.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
71.4
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
70.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
70.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
68.7
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
64.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
64.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
63.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
63.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
61.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
61.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
60.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
60.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
59.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
56.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
55.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
54.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
54.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
54.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
53.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
53.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
52.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
52.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
50.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
50.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.8
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
49.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
49.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
49.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
48.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
47.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
46.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.6
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
44.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
43.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
43.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
42.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
41.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
40.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
40.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
37.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
37.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
36.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.7
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
34.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
34.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
33.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
31.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
31.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
29.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
28.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
28.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
26.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
23.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
21.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
19.5
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
19.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 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.
TAP1 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
38.8
Number of samples
207
Samples
Sample
Description
TPM
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
134.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
119.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
111.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
100.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
92.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
90.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
86.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
85.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
85.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
83.9
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
83.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
80.1
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
78.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
77.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
77.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
75.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
74.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
72.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
71.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
67.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
66.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
66.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
64.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
62.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
62.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
61.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
59.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
57.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
57.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
56.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
56.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
56.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
55.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
55.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
55.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
55.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
55.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
54.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
54.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
54.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
53.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
53.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
52.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
51.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
51.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
51.1
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
50.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
49.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
49.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
49.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
49.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
48.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
48.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
47.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
47.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
47.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
47.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
47.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
46.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
46.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
45.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
45.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
45.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
45.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
44.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
44.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
43.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
43.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
43.2
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
43.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
42.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
41.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
41.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
41.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
41.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
41.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
41.2
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
40.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
39.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
39.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
39.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
39.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
38.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
38.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
37.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
37.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
37.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
36.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
35.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
35.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
35.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
35.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
34.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
34.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
33.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
33.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
33.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
32.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
32.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
32.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
32.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
32.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
31.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
31.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
31.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
31.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
30.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
30.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
30.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
29.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
29.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
29.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
29.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
29.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
28.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
28.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
28.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
28.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
28.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
28.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
27.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
27.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
27.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
27.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
27.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
27.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
27.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
26.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
26.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
26.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
26.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
26.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
26.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
26.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
26.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
25.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
25.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
25.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
25.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
25.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
25.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
24.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
24.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
24.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
24.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
24.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
23.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
23.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
23.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
23.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
22.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
22.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
22.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
22.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
22.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
21.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
21.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
21.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
21.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
21.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
20.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
20.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
20.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
20.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
20.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
19.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
19.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
19.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
19.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
18.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
18.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
18.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
17.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
17.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
17.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
17.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
17.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
17.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
16.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
16.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
16.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
15.5
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
15.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
14.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
14.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
13.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
13.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
13.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
12.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
11.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
10.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
9.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
9.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
7.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
2.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
1.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
1.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
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Tumor
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.4
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.7
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.7
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.9
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-1.0
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
