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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.
TP53 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
53.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
135.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
129.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
118.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
116.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
116.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
108.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
108.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
105.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
104.6
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
101.8
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
97.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
96.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
95.6
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
93.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
93.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
93.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
92.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
91.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
90.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
89.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
88.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
87.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
86.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
86.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
85.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
84.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
84.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
83.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
83.5
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
83.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
83.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
83.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
81.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
81.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
80.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
79.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
78.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
78.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
78.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
77.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
77.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
77.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
77.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
77.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
76.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
75.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
75.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
75.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
75.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
74.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
74.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
72.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
72.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
72.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
72.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
71.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
71.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
71.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
71.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
70.6
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
70.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
70.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
69.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
68.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
68.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
68.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
67.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
67.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
67.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
67.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
67.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
67.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
67.1
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
67.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
66.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
66.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
66.4
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
66.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
65.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
65.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
64.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
64.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
64.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
64.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
63.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
63.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
63.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
63.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
63.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
63.4
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
62.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
62.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
62.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
62.3
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
62.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
61.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
61.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
61.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
60.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
60.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
60.3
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
60.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
59.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
59.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
59.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
59.8
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
59.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
59.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
59.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
59.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
58.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
58.5
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
58.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
57.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
57.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
56.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
56.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
55.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
55.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
55.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
55.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
55.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
55.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
54.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
54.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
54.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
54.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
53.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
53.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
51.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
51.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
51.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
51.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
51.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
51.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
51.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
50.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
50.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
50.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
50.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
50.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
49.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
49.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
49.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
49.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
48.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
48.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
48.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
48.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
48.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
47.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
47.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
47.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
47.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
47.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
46.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
46.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
46.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
45.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
45.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
45.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
45.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
44.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
44.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
43.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
43.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
43.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
43.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
42.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
42.4
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
41.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
41.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
41.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
41.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
41.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
40.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
40.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
39.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
38.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.7
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
38.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
38.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
37.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
37.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
37.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
36.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
35.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
35.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
35.1
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
34.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
34.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
34.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
31.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
31.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
31.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
31.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
30.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
30.1
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
29.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
29.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
28.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
24.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
24.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
22.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
21.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
20.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
19.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
19.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
18.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
18.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
17.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
16.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
16.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
16.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
15.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
14.3
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
14.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
13.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
13.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
13.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
13.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
12.1
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
11.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
11.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
11.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
10.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
10.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
10.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
9.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
9.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
9.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
9.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
8.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
8.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
8.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
7.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
7.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
7.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
5.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
5.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
5.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
4.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 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.
TP53 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
94.0
Number of samples
486
Samples
Sample
Description
TPM
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
423.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
360.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
284.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
227.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
215.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
213.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
204.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
192.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
192.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
189.9
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
188.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
185.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
184.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
182.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
180.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
177.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
174.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
173.7
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
171.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
165.7
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
164.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
164.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
163.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
162.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
161.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
159.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
158.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
158.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
158.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
157.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
150.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
150.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
149.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
149.0
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
148.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
148.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
147.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
146.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
146.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
145.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
145.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
145.5
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
145.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
144.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
143.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
143.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
142.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
141.6
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
141.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
140.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
140.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
140.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
139.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
139.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
138.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
137.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
137.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
137.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
137.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
137.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
135.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
135.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
135.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
135.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
135.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
134.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
134.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
134.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
134.2
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
134.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
134.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
133.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
133.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
133.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
133.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
132.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
132.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
132.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
132.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
132.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
132.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
131.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
130.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
130.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
129.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
129.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
129.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
128.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
128.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
127.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
127.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
127.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
127.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
127.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
126.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
126.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
126.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
126.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
126.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
126.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
126.1
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
125.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
125.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
124.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
124.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
124.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
123.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
122.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
122.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
122.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
122.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
121.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
121.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
121.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
120.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
120.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
120.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
120.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
120.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
120.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
119.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
119.6
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
119.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
119.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
119.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
118.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
118.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
118.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
118.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
118.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
116.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
116.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
116.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
115.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
115.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
115.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
115.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
114.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
114.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
114.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
114.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
113.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
113.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
113.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
113.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
112.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
112.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
112.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
112.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
111.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
111.5
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
111.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
111.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
111.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
111.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
111.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
110.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
110.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
110.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
110.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
110.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
110.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
110.0
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
109.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
109.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
109.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
108.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
108.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
108.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
108.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
107.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
107.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
107.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
106.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
105.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
105.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
105.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
105.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
105.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
105.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
105.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
105.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
105.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
104.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
104.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
104.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
104.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
103.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
103.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
103.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
102.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
102.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
102.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
102.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
102.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
101.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
101.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
101.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
101.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
101.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
100.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
100.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
100.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
100.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
99.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
99.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
99.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
99.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
99.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
98.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
98.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
98.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
98.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
98.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
98.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
98.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
98.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
97.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
97.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
97.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
97.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
96.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
96.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
95.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
95.7
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
95.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
95.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
95.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
95.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
95.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
94.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
93.8
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
93.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
93.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
93.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
93.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
93.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
92.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
92.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
92.4
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
92.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
91.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
90.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
90.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
90.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
90.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
89.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
89.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
89.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
89.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
89.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
89.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
88.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
88.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
88.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
88.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
88.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
88.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
88.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
87.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
87.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
87.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
87.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
86.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
86.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
86.4
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
86.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
86.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
86.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
86.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
85.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
85.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
84.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
84.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
84.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
84.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
84.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
84.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
84.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
84.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
83.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
83.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
83.2
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
83.1
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
82.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
82.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
82.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
82.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
82.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
82.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
81.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
81.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
81.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
81.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
81.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
81.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
81.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
80.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
80.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
80.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
79.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
79.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
79.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
79.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
79.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
78.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
78.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
77.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
77.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
77.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
77.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
77.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
77.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
76.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
76.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
76.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
76.4
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
76.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
76.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
75.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
75.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
75.5
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
75.4
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
75.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
75.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
75.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
74.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
74.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
74.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
74.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
73.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
73.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
73.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
73.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
72.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
72.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
72.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
71.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
71.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
71.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
71.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
71.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
71.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
70.7
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
70.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
70.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
70.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
70.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
70.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
69.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
69.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
69.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
68.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
68.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
68.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
68.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
67.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
67.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
67.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
67.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
67.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
66.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
66.6
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
66.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
66.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
66.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
65.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
65.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
64.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
64.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
64.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
63.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
63.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
63.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
63.2
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
62.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
62.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
62.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
62.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
60.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
60.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
60.1
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
59.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
58.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
58.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
58.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
58.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
57.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
57.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
57.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
56.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
56.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
56.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
56.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
56.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
55.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
55.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
55.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
54.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
54.7
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
54.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
54.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
54.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
54.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
53.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
53.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
53.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
52.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
51.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
51.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
49.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
49.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
48.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
48.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
47.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
47.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
47.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
46.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
46.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
45.4
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
45.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
44.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
44.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
44.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
44.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
41.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
40.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
39.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
39.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
38.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
38.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
38.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
38.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
37.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
36.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
36.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
36.1
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
35.6
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
35.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
34.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
34.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
34.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
34.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
34.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
34.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
34.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
32.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
32.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
32.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
32.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
31.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
31.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
31.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
30.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
30.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
29.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
29.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
29.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
29.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
28.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
27.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
27.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
27.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
25.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
25.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
25.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
23.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
21.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
21.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
19.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
18.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
17.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
16.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
16.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
14.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
14.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
14.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.9
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.
TP53 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
51.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
145.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
132.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
130.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
115.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
115.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
108.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
107.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
106.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
95.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
91.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
89.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
85.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
84.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
84.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
81.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
80.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
80.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
79.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
75.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
73.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
70.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
70.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
69.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
68.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
68.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
67.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
67.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
64.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
63.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
61.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
61.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
60.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
60.0
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
59.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
57.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
56.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
55.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
55.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
54.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
54.6
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
53.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
53.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
53.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
52.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
51.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
50.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
49.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
48.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
48.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
48.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
47.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
45.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
45.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
44.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
42.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
42.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
41.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
41.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
38.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
35.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
33.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
31.4
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
30.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
23.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
20.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
14.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
13.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
13.6
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
13.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
13.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
12.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
11.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
10.5
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
10.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
9.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
9.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
9.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
9.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
8.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
8.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
8.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
7.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
6.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
5.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
TP53 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
84.0
Number of samples
207
Samples
Sample
Description
TPM
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
242.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
212.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
208.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
192.0
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
188.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
159.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
158.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
153.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
153.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
153.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
150.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
146.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
146.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
144.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
141.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
141.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
136.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
135.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
133.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
133.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
132.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
130.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
129.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
128.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
127.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
127.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
126.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
126.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
126.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
126.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
125.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
125.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
123.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
120.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
120.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
116.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
115.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
113.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
113.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
113.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
111.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
111.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
111.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
109.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
108.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
108.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
107.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
107.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
106.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
106.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
105.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
105.5
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
105.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
101.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
101.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
100.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
99.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
98.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
98.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
98.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
98.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
98.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
97.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
96.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
96.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
96.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
95.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
95.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
95.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
95.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
94.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
94.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
94.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
93.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
93.8
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
93.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
93.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
92.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
92.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
91.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
91.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
91.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
91.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
91.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
90.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
89.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
88.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
87.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
87.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
87.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
87.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
87.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
87.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
86.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
86.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
85.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
85.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
84.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
83.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
83.7
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
82.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
82.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
81.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
81.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
81.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
81.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
81.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
81.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
80.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
80.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
80.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
78.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
78.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
77.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
77.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
77.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
77.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
76.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
76.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
76.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
75.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
75.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
75.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
75.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
73.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
73.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
71.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
71.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
71.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
71.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
70.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
69.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
69.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
68.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
68.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
67.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
66.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
66.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
65.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
65.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
64.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
64.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
63.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
62.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
60.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
60.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
60.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
60.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
59.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
58.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
58.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
58.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
58.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
58.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
57.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
57.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
57.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
56.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
55.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
55.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
54.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
54.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
52.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
52.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
51.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
50.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
50.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
49.4
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
49.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
48.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
45.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
44.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
44.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
42.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
42.5
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
42.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
39.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
39.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
39.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
39.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
37.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
37.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
37.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
35.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
33.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
32.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
32.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
32.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
31.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
30.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
30.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
28.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
27.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
26.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
25.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
24.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
24.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
23.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
23.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
20.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
19.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
16.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
14.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
12.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
3.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
2.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
2.4
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
2.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
2.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
2.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
1.6
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
1.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
1.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
1.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.9
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.8
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.6
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.6
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.7
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.7
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.8
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.8
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.8
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.9
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.9
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.9
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.9
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-1.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-1.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-1.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-1.5
b2400046-1d25-429d-a821-6040a6
Tumor
-1.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-2.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-2.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-2.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-2.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-2.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-2.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
