We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
EEF1A1 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 pTPM
7818.1
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
19394.9
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
15847.4
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
15698.1
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
15451.3
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
15397.3
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
14620.1
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
14304.0
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
14039.5
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
14003.2
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
13472.6
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
13400.8
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
13384.3
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
12804.4
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
12727.2
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
12256.8
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
12201.5
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
11982.1
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
11803.0
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
11708.0
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
11668.4
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
11549.5
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
10951.7
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
10590.3
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
10549.0
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
10501.5
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
10499.8
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
10373.3
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
10336.1
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
10296.1
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
10244.9
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
10242.7
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
10233.9
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
10137.6
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
9957.5
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
9859.8
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
9805.8
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
9793.2
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9778.4
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
9709.9
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
9681.3
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
9665.6
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
9643.4
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
9619.5
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
9599.8
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
9593.4
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
9561.4
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
9462.5
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
9379.4
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
9361.7
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
9185.2
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
9174.4
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
9121.4
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
9120.9
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
9098.7
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
9090.6
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
9079.0
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
9042.1
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
9013.7
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
8994.4
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
8987.8
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
8980.6
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
8906.9
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
8888.3
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
8854.8
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
8833.0
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
8735.6
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
8726.2
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
8724.8
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
8691.0
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
8685.7
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
8679.0
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
8613.2
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
8604.7
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
8582.2
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
8575.8
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
8539.6
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
8523.5
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
8481.1
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
8477.5
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
8434.2
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
8408.5
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
8376.8
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
8349.6
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
8347.6
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
8342.9
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
8338.3
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
8311.2
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
8301.7
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
8284.4
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
8270.9
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
8231.9
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
8225.9
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
8214.9
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
8175.4
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
8160.0
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
8122.8
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
8113.9
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
8077.0
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
8066.8
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
8031.7
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
8009.4
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
7999.6
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
7955.0
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
7943.0
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
7928.5
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
7924.2
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
7888.1
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
7887.0
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
7875.4
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
7873.5
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
7840.8
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
7836.5
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
7834.2
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
7829.2
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
7821.3
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
7820.1
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
7818.8
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
7723.1
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
7718.3
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
7707.9
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
7692.9
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
7658.2
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7612.3
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
7599.5
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
7499.9
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
7465.2
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
7463.7
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
7449.2
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
7438.0
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
7431.1
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
7406.7
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
7398.4
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
7365.0
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
7360.1
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
7319.0
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
7280.9
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
7194.3
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
7158.3
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
7124.2
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
7079.5
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
7069.2
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
7037.4
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
7027.0
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
6965.2
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
6916.8
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
6885.2
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
6864.7
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
6847.5
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
6839.1
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
6836.2
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
6822.5
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
6803.8
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
6799.4
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
6794.8
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
6759.2
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
6756.1
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
6749.9
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
6740.7
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
6735.0
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
6712.2
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
6626.7
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
6613.9
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
6609.9
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
6599.7
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
6558.6
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
6550.4
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
6525.8
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
6522.7
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
6498.9
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
6491.6
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
6481.0
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
6480.3
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
6427.4
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
6423.5
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
6401.0
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
6400.6
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
6396.6
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
6391.4
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
6385.3
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
6370.8
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
6363.8
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
6351.5
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
6304.2
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
6295.1
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
6269.4
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
6261.1
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
6259.5
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
6258.6
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
6215.1
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
6211.7
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
6193.3
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
6159.5
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
6112.2
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
6068.6
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
6057.7
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
6047.5
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
6037.6
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
6019.2
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
6016.5
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
6012.6
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
5991.0
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
5910.1
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
5891.5
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
5777.0
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
5774.3
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
5761.3
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
5753.8
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
5750.3
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
5747.9
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
5716.4
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
5696.2
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
5674.2
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
5669.1
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
5652.9
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
5649.7
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
5639.3
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
5631.2
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
5616.8
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5612.4
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
5576.3
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
5568.7
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
5563.6
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
5543.7
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5493.0
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
5454.2
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
5447.2
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5416.0
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
5348.5
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
5339.0
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5318.8
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
5302.8
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
5275.5
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
5270.7
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
5248.2
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
5232.0
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
5224.8
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
5168.0
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
5159.7
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
5155.8
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5145.8
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
5122.4
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
5120.8
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
5119.4
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
5096.8
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
5073.2
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
4911.7
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
4845.5
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
4823.8
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4779.4
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
4772.6
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
4288.5
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
3955.7
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
3254.4
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 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.
EEF1A1 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 pTPM
5925.2
Number of samples
486
Samples
Sample
Description
pTPM
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
11279.7
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
11118.9
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
11009.5
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
10558.7
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
10217.6
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
10100.8
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
9965.4
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
9784.2
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
9746.2
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
9575.5
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
9533.6
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
9510.9
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
9373.3
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
9302.2
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
9301.2
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
9224.7
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
9159.7
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
9105.2
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
9045.7
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
9036.5
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
8996.6
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
8924.8
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
8837.3
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
8754.9
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
8749.9
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
8741.6
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
8633.5
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
8591.1
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
8457.5
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
8424.7
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
8399.1
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
8392.0
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
8353.6
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
8346.2
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
8346.1
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
8286.1
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
8251.9
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
8251.9
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
8236.9
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
8198.2
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
8164.2
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
8123.5
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
8119.7
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
8097.8
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
8093.5
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
8092.8
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
8068.9
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
8054.4
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
8013.3
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
7999.8
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
7990.6
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
7973.8
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
7927.5
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
7914.0
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
7898.2
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
7891.2
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
7889.3
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
7871.2
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
7847.9
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
7795.7
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
7785.6
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
7773.4
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
7734.0
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
7700.7
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
7687.8
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
7680.4
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
7664.3
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
7609.5
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
7593.8
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
7592.3
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
7560.3
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
7546.1
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
7545.4
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
7543.8
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
7542.7
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
7537.2
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
7536.4
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
7512.1
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
7497.0
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
7477.3
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
7463.1
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
7440.5
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
7438.5
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
7437.7
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
7418.4
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
7410.8
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
7389.6
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
7385.5
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
7372.2
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
7361.0
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
7354.4
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
7349.7
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
7340.3
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
7330.6
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
7325.3
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
7312.2
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
7268.0
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
7264.0
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
7258.5
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
7248.7
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
7243.8
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
7217.4
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
7205.5
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
7203.5
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
7196.3
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
7195.0
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
7180.1
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
7171.7
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
7155.9
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
7148.2
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
7135.8
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
7133.9
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
7081.9
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
7077.7
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
7077.4
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
7053.0
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
7043.1
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
7024.0
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
7008.8
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
6992.9
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
6978.7
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
6976.4
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
6932.1
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
6928.9
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
6924.1
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
6923.6
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
6913.8
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
6907.4
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
6884.8
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
6878.4
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
6864.5
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
6862.7
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
6842.3
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
6828.4
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
6807.4
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
6799.5
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
6794.7
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
6794.1
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
6793.7
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
6783.6
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
6777.7
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
6771.6
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
6771.5
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
6763.8
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
6752.0
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
6745.7
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
6737.5
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
6720.6
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
6709.6
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
6706.4
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
6694.7
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
6693.3
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
6691.2
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
6688.0
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
6684.8
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
6652.6
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
6642.2
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
6638.8
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
6629.3
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
6600.4
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
6595.0
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
6583.2
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
6574.8
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
6561.6
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
6553.3
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
6549.5
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
6544.8
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
6543.3
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
6533.0
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
6532.4
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
6531.3
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
6523.9
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
6518.9
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
6502.3
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
6496.9
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
6492.3
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
6471.3
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
6464.4
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
6458.9
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
6424.8
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
6416.2
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
6415.8
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
6402.0
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
6399.8
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
6376.0
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
6371.7
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
6365.8
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
6344.8
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
6340.4
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
6332.2
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
6318.9
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
6315.6
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
6304.0
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
6298.9
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
6289.0
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
6271.3
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
6229.2
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
6227.6
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
6221.6
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
6221.3
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
6220.3
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
6207.9
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
6196.5
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
6195.9
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
6195.6
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
6194.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
6192.3
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
6191.8
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
6177.7
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
6172.7
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
6158.2
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
6150.5
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
6149.8
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
6149.5
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
6143.8
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
6126.6
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
6119.5
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
6105.4
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
6086.4
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
6078.5
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
6070.7
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
6039.4
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
6034.8
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
6023.6
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
6019.5
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
6010.9
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
6005.2
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
6004.9
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
5989.7
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
5985.4
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
5976.3
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
5969.9
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
5969.2
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
5964.4
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
5953.2
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
5945.0
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
5934.9
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
5934.1
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
5896.9
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
5894.6
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
5890.0
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
5884.7
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
5849.2
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
5836.9
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
5833.9
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
5821.7
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
5821.1
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
5789.6
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
5777.1
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
5776.4
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
5775.9
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
5760.3
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
5750.3
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
5737.5
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
5732.5
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
5721.6
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
5719.9
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
5715.2
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
5702.1
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
5676.6
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
5641.8
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
5637.5
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
5631.3
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
5630.7
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
5621.6
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
5621.0
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
5619.5
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
5618.6
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
5616.1
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
5610.1
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
5609.6
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
5599.3
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
5596.4
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
5596.2
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
5590.7
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
5588.1
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
5587.9
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
5555.4
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
5551.1
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
5547.9
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
5538.2
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
5533.3
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
5532.1
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
5526.6
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
5514.6
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
5495.0
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
5491.2
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
5491.0
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
5458.2
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
5440.9
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
5437.3
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
5430.0
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
5428.5
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
5412.0
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
5405.9
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
5405.6
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
5392.3
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
5392.1
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
5362.5
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
5357.1
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
5347.8
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
5339.2
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
5336.2
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
5334.6
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
5333.0
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
5313.1
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
5300.4
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
5299.6
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
5289.2
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
5281.9
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
5265.3
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
5264.9
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
5263.4
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
5258.9
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
5256.5
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
5250.4
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
5235.5
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
5234.3
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
5231.9
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
5220.0
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
5217.5
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
5203.5
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
5201.5
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
5198.1
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
5180.8
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
5160.4
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
5159.5
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
5157.7
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
5150.2
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
5145.5
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
5137.2
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
5124.7
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
5109.1
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
5084.3
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
5061.0
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
5055.8
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
5052.1
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
5048.9
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
4991.1
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
4964.0
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
4955.5
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
4944.6
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
4939.1
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
4937.0
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
4927.0
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
4880.4
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
4880.1
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
4876.5
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
4861.9
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
4845.0
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
4835.3
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
4831.8
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
4831.0
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
4828.8
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
4813.3
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
4811.4
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
4802.4
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
4788.4
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
4779.6
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
4778.9
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
4766.8
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
4763.1
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
4759.3
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
4749.0
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
4733.0
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
4730.3
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
4729.3
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
4728.5
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
4713.3
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
4707.8
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
4707.3
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
4702.7
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
4678.5
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
4664.4
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
4663.5
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
4651.1
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
4631.2
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
4627.8
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
4608.3
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
4606.3
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
4606.1
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
4598.2
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
4595.6
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
4581.8
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
4577.9
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
4544.2
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
4538.0
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
4537.9
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
4537.7
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
4535.5
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
4524.3
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
4521.9
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
4507.5
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
4482.4
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
4478.1
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
4477.3
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
4418.4
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
4407.0
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
4394.5
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
4389.9
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
4389.2
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
4358.0
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
4357.5
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
4356.8
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
4351.5
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
4309.8
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
4307.8
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
4281.5
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
4281.4
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
4273.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
4267.2
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
4223.7
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
4219.9
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
4213.2
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
4176.5
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
4171.0
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
4150.5
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
4126.0
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
4124.1
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
4094.5
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
4064.0
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
4051.1
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
4047.4
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
4044.3
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
4042.5
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
4029.0
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
4029.0
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
4009.9
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
4007.0
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
3999.7
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
3998.1
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
3996.9
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
3986.3
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
3946.8
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
3935.6
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
3935.6
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
3932.3
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
3925.9
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
3893.8
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
3889.6
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
3872.7
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
3866.5
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
3826.7
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
3825.6
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
3811.8
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
3809.4
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
3755.8
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
3744.6
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
3729.0
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
3715.8
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
3674.1
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
3671.8
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
3642.8
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
3637.3
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
3581.3
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
3556.1
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
3549.1
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
3542.6
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
3523.1
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
3497.7
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
3467.8
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
3418.2
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
3408.7
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
3400.0
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
3388.3
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
3384.2
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
3328.1
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
3315.3
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
3278.4
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
3222.9
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
3203.6
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
3197.3
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
3190.4
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
3148.9
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
3061.8
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
3057.7
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
3054.0
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
3042.5
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
3029.4
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
3008.3
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
2997.3
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
2641.9
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
2421.8
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
2274.3
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
638.7
U0074
89 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.
EEF1A1 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 pTPM
7389.2
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
15645.2
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
13267.5
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
11994.1
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
11598.2
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
11477.3
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
11117.1
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
10878.3
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
10554.8
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
10383.6
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
10288.7
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
10259.1
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
10208.0
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
10114.7
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
9960.2
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
9915.5
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
9625.6
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
9591.8
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
9300.5
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
9249.1
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
9134.3
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
9048.1
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
8856.1
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
8394.7
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
8393.0
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
8392.2
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
8379.0
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
8254.3
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
8226.3
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
8204.2
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
8052.6
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
8051.5
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
8034.9
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
7989.5
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
7888.1
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
7820.5
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
7805.2
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
7758.4
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
7681.8
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
7666.1
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
7533.7
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
7474.5
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
7461.7
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
7384.6
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
7335.0
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
7273.2
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
7231.7
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
6964.3
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
6940.1
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6900.3
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
6790.3
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
6656.1
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
6577.7
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
6558.2
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
6469.3
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
6362.4
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
6355.4
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
6354.2
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
6226.0
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
6183.8
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
6157.6
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
6139.9
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
6131.9
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
6090.8
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
6054.0
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
5970.1
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
5920.8
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
5915.9
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
5780.3
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
5636.2
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
5601.4
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
5517.4
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
5221.5
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
5073.1
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
5009.4
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
5005.2
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
4938.0
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
4885.2
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
4880.2
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
4789.6
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
4669.1
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
4639.4
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
4480.4
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
4415.9
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
4058.8
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
3639.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
3427.0
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
2417.0
TCGA-DC-6155-01A
31 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.
EEF1A1 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 pTPM
4564.9
Number of samples
207
Samples
Sample
Description
pTPM
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
12073.9
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
10082.4
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
9754.4
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
9123.6
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
9088.7
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
8276.4
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
8113.9
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
8060.5
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
8026.0
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
8025.6
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
7643.8
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
7567.4
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
7530.9
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
7451.8
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
7412.4
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
7375.0
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
7372.0
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
7266.6
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
7254.8
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
7218.0
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
6939.4
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
6744.7
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
6646.0
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
6597.6
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
6593.8
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
6392.6
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
6364.3
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
6285.2
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
6246.3
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
6240.8
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
6118.5
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
6036.9
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
5901.6
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
5753.1
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
5728.4
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
5724.9
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
5656.5
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
5631.8
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
5620.3
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
5602.0
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
5553.5
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
5552.9
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
5523.0
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
5504.7
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
5480.1
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
5480.0
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
5468.7
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
5460.9
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
5423.7
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
5332.2
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
5318.8
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
5313.5
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
5304.8
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
5298.8
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
5288.6
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
5230.9
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
5204.8
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
5200.0
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
5190.1
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
5188.6
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
5180.9
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
5169.6
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
5135.6
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
5111.5
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
5032.5
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
5015.6
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
5005.1
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
4980.0
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
4945.7
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
4895.1
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
4885.9
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
4870.4
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
4868.9
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
4854.3
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
4849.8
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
4843.2
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
4823.2
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
4815.7
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
4793.8
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
4788.8
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
4762.0
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
4742.5
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
4740.3
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
4707.7
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
4705.4
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
4678.5
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
4666.7
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
4662.9
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
4646.4
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
4627.1
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
4615.0
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
4610.1
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
4583.8
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
4578.8
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
4534.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
4534.2
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
4500.3
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
4490.9
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
4471.9
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
4432.3
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
4410.1
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
4392.9
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
4342.1
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
4339.1
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
4336.5
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
4325.9
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
4312.2
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
4293.8
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
4234.2
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
4223.5
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
4199.5
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
4182.7
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
4100.2
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
4079.6
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
4071.6
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
4064.7
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
4051.4
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
4031.9
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
4002.4
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
3997.0
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
3990.1
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
3950.1
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
3942.9
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
3909.6
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
3887.9
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
3883.8
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
3847.6
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
3837.5
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
3833.9
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
3792.6
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
3789.4
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
3772.1
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
3737.8
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
3731.5
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
3725.4
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
3708.4
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
3707.3
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
3701.8
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
3695.7
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
3694.1
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
3681.4
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
3678.7
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
3644.8
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
3633.9
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
3624.1
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
3606.3
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
3590.5
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
3566.8
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
3533.5
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
3523.7
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
3500.0
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
3476.5
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
3473.6
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
3473.2
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
3458.0
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
3455.5
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
3452.1
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
3447.6
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
3368.8
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
3363.4
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
3330.0
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
3324.9
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
3313.3
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
3296.7
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
3261.4
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
3200.0
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
3175.2
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
3156.2
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
3121.5
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
3106.4
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
3097.5
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
3086.3
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
3082.3
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
3067.1
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
3040.9
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
3027.5
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
3003.2
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
2987.4
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
2963.5
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
2900.9
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
2900.5
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
2896.5
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
2890.0
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
2843.2
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
2819.3
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
2774.9
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
2742.0
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
2725.2
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
2690.8
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
2688.6
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
2662.0
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
2655.7
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
2605.5
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
2569.7
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
2540.4
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
2527.0
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
2524.3
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
2458.0
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
2431.4
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
2378.7
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
2275.3
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
2242.1
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
2165.8
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
2064.3
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
1763.5
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
1532.4
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
332.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.4
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
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
