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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
S100A6 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
8487.6
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
41933.2
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
28999.5
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
26106.4
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
23990.8
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
23513.3
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
22396.1
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
20830.0
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
20657.4
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
20439.8
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
20207.4
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
18782.8
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
18569.1
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
17870.7
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
17144.4
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
16941.8
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
16807.3
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
16729.0
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
16474.7
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
15947.3
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
15330.2
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
14511.3
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
14148.0
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
14070.5
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
13997.0
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
13745.3
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
13696.4
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
13620.2
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
12952.8
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
12910.5
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
12832.0
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
12763.9
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
12752.1
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
12675.2
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
12616.5
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
12422.7
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
12370.7
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
12315.4
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
12219.9
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
12137.8
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
11914.4
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
11876.7
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
11796.3
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
11558.2
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
11452.8
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
11363.1
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
11292.2
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
11195.8
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
11100.6
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
11088.5
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
11084.6
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
10965.9
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
10912.4
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
10884.0
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
10860.9
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
10815.6
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
10761.8
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
10749.0
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
10740.2
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
10691.7
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
10687.2
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
10627.8
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
10565.0
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
10544.9
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
10483.8
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
10463.9
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
10384.5
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
10338.7
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
10116.1
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
10106.0
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
9937.7
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
9906.7
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
9893.4
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
9880.7
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
9874.9
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
9854.0
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
9853.5
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
9796.7
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
9761.6
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
9733.2
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
9729.3
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
9692.0
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
9607.1
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
9546.0
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
9545.4
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
9482.0
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
9410.5
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
9401.6
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
9300.1
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9281.3
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
9261.6
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
8994.3
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
8969.6
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
8939.7
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
8889.9
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
8778.7
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
8742.1
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8730.8
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
8639.7
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
8628.7
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8565.0
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
8395.0
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
8394.8
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
8305.6
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
8274.3
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
8245.6
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
8198.3
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8177.1
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
8139.6
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
8106.3
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
8078.9
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
8048.8
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
7884.1
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
7857.5
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
7836.8
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
7792.9
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
7769.6
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
7725.9
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
7689.5
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
7683.7
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
7665.6
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
7504.6
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
7500.9
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
7470.9
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
7461.3
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
7447.8
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
7438.6
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
7402.5
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
7402.3
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7354.4
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
7337.0
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
7281.6
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
7272.9
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
7250.8
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
7237.5
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
7199.3
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
7162.1
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
7111.7
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
6986.4
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
6980.6
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
6878.0
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
6834.2
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
6803.5
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
6802.8
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
6747.0
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
6652.2
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
6604.1
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
6598.6
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
6568.6
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
6553.5
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
6488.1
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
6473.7
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
6456.7
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
6456.6
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
6450.8
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
6435.8
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
6410.8
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
6381.6
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
6380.4
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
6332.7
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
6315.2
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
6302.1
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
6296.3
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
6268.7
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
6256.4
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
6214.5
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
6180.3
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
6145.3
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
6045.7
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
6044.6
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
6011.0
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
5985.2
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
5937.9
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
5929.5
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
5927.4
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
5925.7
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
5909.0
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
5853.4
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
5815.3
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
5769.3
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
5764.1
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5752.8
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
5744.1
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
5612.3
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
5584.3
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
5550.1
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
5541.4
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
5515.5
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
5506.5
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
5488.4
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
5477.0
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5468.0
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
5450.7
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
5444.1
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
5418.2
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
5398.5
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
5315.6
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
5302.4
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
5252.1
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
5219.1
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
5215.1
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
5150.9
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
5147.7
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
5093.2
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
4960.5
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
4925.6
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
4912.3
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
4790.5
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
4788.0
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
4785.6
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
4784.3
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
4765.7
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4724.6
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
4676.1
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
4672.2
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
4618.3
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
4616.8
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
4596.6
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
4516.9
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
4474.1
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
4456.5
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
4446.5
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
4445.0
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
4419.1
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
4404.0
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4369.1
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
4322.6
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
4282.6
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
4172.9
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
4055.7
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
3774.4
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
3635.5
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
3566.1
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
3428.8
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
3271.6
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
3269.7
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
3268.2
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
3252.8
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
3249.3
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
3113.9
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
2860.2
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
2808.7
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
2789.3
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
2777.6
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
2600.6
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
2577.4
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
2450.0
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
2381.1
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
2095.5
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
2094.7
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
2066.4
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1941.5
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
1907.5
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
1774.4
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 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.
S100A6 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
2565.5
Number of samples
486
Samples
Sample
Description
pTPM
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
8953.7
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
8457.6
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
7768.9
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
7553.9
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
6980.4
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
6694.5
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
6689.1
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
6617.1
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
6561.1
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
6395.4
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
6380.5
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
6339.3
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
6302.3
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
6224.4
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
6117.1
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
6080.8
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
6072.6
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
6020.6
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
5951.2
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
5856.6
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
5776.9
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
5518.1
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
5441.8
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
5318.3
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
5103.9
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
5077.2
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
5022.7
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
4967.3
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
4908.2
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
4886.8
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
4841.7
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
4781.5
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
4698.6
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
4679.4
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
4612.5
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
4596.2
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
4589.6
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
4569.3
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
4566.7
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
4517.4
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
4501.4
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
4484.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
4484.0
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
4463.3
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
4446.0
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
4419.1
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
4407.7
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
4397.5
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
4382.7
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
4369.8
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
4333.4
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
4247.3
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
4244.9
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
4227.2
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
4179.1
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
4176.4
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
4171.6
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
4138.5
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
4063.5
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
4011.9
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
3990.3
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
3973.2
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
3964.2
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
3949.0
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
3912.5
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
3906.5
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
3873.2
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
3863.3
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
3842.4
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
3835.6
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
3829.6
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
3801.9
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
3766.7
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
3762.6
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
3754.0
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
3749.8
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
3740.7
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
3699.7
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
3687.8
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
3684.1
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
3677.0
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
3656.6
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
3646.8
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
3627.5
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
3616.1
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
3605.3
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
3597.0
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
3587.6
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
3586.4
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
3579.0
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
3558.7
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
3558.6
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
3557.4
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
3506.7
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
3499.6
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
3491.5
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
3482.8
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
3466.6
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3439.0
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
3435.8
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
3423.0
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
3411.6
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
3386.6
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
3384.8
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
3375.0
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
3369.6
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
3354.6
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
3352.8
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
3347.3
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
3328.8
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
3302.7
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
3299.5
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
3291.8
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
3290.3
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
3266.5
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
3260.9
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
3256.1
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
3204.7
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
3186.4
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
3175.4
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
3172.9
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
3159.7
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
3139.0
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
3131.7
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
3088.2
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
3083.6
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
3071.2
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
3061.7
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
3057.6
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
3056.3
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
3035.7
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
3029.5
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
3024.5
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
3017.1
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
2994.3
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
2984.2
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
2979.3
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
2976.7
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
2960.6
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
2957.5
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
2938.0
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
2935.5
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
2934.2
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
2931.0
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
2913.9
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
2897.6
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
2889.2
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
2876.9
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
2875.0
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
2868.1
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
2850.8
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
2842.7
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
2837.9
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
2835.8
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
2831.7
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
2820.1
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
2810.9
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
2802.6
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
2785.6
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
2739.8
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
2739.2
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
2736.2
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
2729.2
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
2728.4
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
2719.3
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
2689.4
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
2688.7
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
2688.0
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
2676.1
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
2676.1
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
2663.6
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
2662.4
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
2660.6
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
2645.6
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
2625.8
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
2625.6
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
2622.9
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
2614.4
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
2597.6
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
2590.1
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
2589.2
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
2579.5
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
2575.4
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
2560.0
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
2548.6
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
2547.8
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
2545.9
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
2542.6
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
2522.7
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
2520.7
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
2516.5
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
2507.1
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
2504.4
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
2504.2
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
2488.2
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
2477.5
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
2468.8
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
2454.4
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
2446.0
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
2442.6
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
2441.2
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
2440.6
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
2439.2
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
2421.0
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
2420.5
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
2413.1
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
2409.6
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
2408.5
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
2391.2
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
2391.1
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
2387.3
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
2382.9
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
2382.1
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
2378.0
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
2373.5
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
2369.8
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
2364.2
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
2353.8
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
2349.6
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
2342.4
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
2341.9
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
2340.4
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
2338.3
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
2334.7
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
2332.0
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
2326.6
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
2315.2
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
2313.3
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
2310.6
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
2309.5
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
2304.5
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
2304.1
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
2303.7
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
2303.4
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
2303.0
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
2296.9
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
2279.7
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
2269.2
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
2269.0
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
2267.3
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
2260.8
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
2257.7
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
2257.3
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
2255.3
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
2236.8
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
2230.7
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
2224.0
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
2202.7
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
2199.4
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
2197.6
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
2195.1
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
2188.2
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
2188.2
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
2176.7
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
2169.6
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
2169.6
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
2163.2
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
2158.4
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
2153.8
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
2145.1
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
2139.0
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
2134.7
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
2133.5
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
2124.9
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
2124.3
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
2123.1
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
2117.9
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
2115.0
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
2097.3
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
2094.6
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
2080.1
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
2070.9
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
2069.5
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
2056.9
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
2054.5
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
2046.6
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
2043.3
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
2039.2
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
2021.3
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
2019.7
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
2015.8
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
2006.6
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
1998.7
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
1996.9
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
1996.8
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
1990.6
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
1988.6
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
1986.4
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
1984.3
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
1984.1
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
1983.8
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
1981.6
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
1978.8
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
1975.5
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
1973.7
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
1967.9
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
1956.0
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
1955.8
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
1950.9
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
1950.8
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
1947.7
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
1944.0
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
1933.2
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
1930.4
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
1912.7
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
1895.6
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
1889.5
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
1885.9
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
1873.7
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
1868.2
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
1865.7
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
1865.0
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
1860.8
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
1860.3
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
1855.5
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
1850.4
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
1850.0
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
1843.4
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
1841.3
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
1836.4
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
1829.8
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
1828.1
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
1821.7
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
1819.7
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
1818.2
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
1805.4
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
1801.9
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
1801.5
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
1799.2
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
1794.6
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
1780.1
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
1777.5
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
1774.1
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
1769.7
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
1767.5
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
1752.5
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
1731.3
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
1722.0
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
1719.3
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
1718.8
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
1717.7
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
1717.4
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
1710.5
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
1708.3
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
1703.9
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
1702.8
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
1697.7
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
1695.8
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
1693.9
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
1691.7
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
1691.6
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
1690.5
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
1688.4
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
1679.5
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
1679.5
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
1679.0
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
1678.7
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
1678.3
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
1673.5
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
1666.8
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
1665.0
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
1663.5
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
1652.9
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
1651.0
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
1644.1
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
1638.3
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
1630.2
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
1626.3
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
1625.8
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
1615.5
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
1605.7
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
1601.9
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
1600.4
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
1587.8
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
1584.1
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
1583.2
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
1577.5
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
1573.9
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
1572.0
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
1563.3
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
1563.3
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
1558.4
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
1543.6
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
1532.3
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
1528.8
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
1528.0
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
1525.4
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
1516.3
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
1509.8
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
1509.3
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
1508.9
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
1503.9
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
1495.3
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
1493.9
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
1491.3
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
1488.4
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
1482.3
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
1473.6
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
1470.5
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
1457.9
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
1451.5
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
1450.7
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
1448.1
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
1446.0
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
1444.7
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
1443.9
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
1441.5
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
1440.4
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
1437.5
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
1436.8
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
1436.5
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
1432.0
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
1431.4
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
1428.4
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
1417.3
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
1409.1
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
1408.7
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
1404.7
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
1393.9
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
1393.5
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
1390.1
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
1387.0
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
1383.2
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
1374.0
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
1373.5
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
1373.4
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
1362.7
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
1349.6
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
1348.4
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
1347.4
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
1335.5
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
1323.9
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
1323.0
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
1317.9
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
1314.3
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
1303.8
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
1301.0
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
1296.2
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
1291.4
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
1285.8
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
1285.3
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
1276.4
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
1268.2
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
1256.8
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
1246.2
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
1244.7
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
1231.9
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
1230.0
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
1225.9
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
1204.5
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
1198.4
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
1198.0
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
1196.6
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
1192.0
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
1175.7
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
1174.4
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
1171.2
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
1169.7
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
1157.8
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
1155.6
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
1155.5
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
1148.2
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
1144.3
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
1120.5
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
1105.9
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
1086.0
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
1080.9
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
1067.4
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
1062.1
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
1013.7
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
1011.0
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
961.5
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
929.8
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
929.8
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
920.0
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
912.4
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
909.8
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
886.2
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
876.0
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
838.7
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
783.6
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
768.1
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
702.5
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
599.8
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
480.5
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.
S100A6 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
7442.3
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
19569.3
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
18850.1
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
17320.4
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
16066.4
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
13254.7
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
13046.0
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
13023.2
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
12445.8
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
10925.3
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
10925.2
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
10798.3
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
10627.6
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
10552.1
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
10432.8
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
10386.5
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
10305.9
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
10222.0
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
10154.3
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
10073.6
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
10042.0
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
9385.0
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
9357.9
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
8922.0
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
8887.4
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
8700.5
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
8674.5
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
8542.8
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
8358.0
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
8340.0
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
8330.0
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
8315.5
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
8251.5
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
8099.2
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
8080.5
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
7819.4
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
7687.4
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
7643.2
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
7519.2
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
7234.8
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
7107.4
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
6747.5
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
6686.9
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
6659.7
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
6619.4
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
6578.9
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
6561.5
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
6543.8
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6363.9
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
6310.3
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
6222.6
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
6217.4
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
6110.2
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
6102.6
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
6098.6
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
6074.8
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
5978.4
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
5941.3
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
5906.6
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
5819.8
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
5813.4
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
5715.4
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
5650.5
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
5498.6
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
5405.8
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
5386.7
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
5210.3
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
5098.8
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
5093.5
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
5075.3
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
4890.8
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
4838.6
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
4543.8
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4391.9
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
4318.6
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
4091.7
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
3887.6
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
3818.9
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
3706.6
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
3667.3
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
3564.1
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
3452.4
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
3445.2
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
3257.9
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
2840.0
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
2773.3
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
2364.1
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 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.
S100A6 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
1990.1
Number of samples
207
Samples
Sample
Description
pTPM
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
7028.5
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
5617.4
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
5282.3
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
4502.9
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
4489.7
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
4407.1
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
4237.2
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
4196.4
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
4000.2
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
3925.8
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
3842.7
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
3672.3
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
3667.0
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
3619.0
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
3505.6
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
3501.4
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
3268.3
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
3268.2
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
3264.7
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
3239.7
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
3182.9
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
3160.2
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
3122.2
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
3102.8
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
3048.6
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
2924.7
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
2880.7
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
2864.9
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
2863.3
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
2851.3
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
2845.8
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
2829.6
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
2815.7
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
2773.8
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
2754.0
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
2745.8
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
2696.7
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
2679.9
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
2670.6
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
2669.4
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
2655.2
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
2641.0
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
2583.6
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
2571.6
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
2567.4
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
2562.9
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
2555.7
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
2553.7
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
2546.3
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
2534.9
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
2532.4
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
2526.1
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
2517.6
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
2508.7
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2506.0
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
2500.9
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
2492.5
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
2452.5
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
2448.4
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
2446.4
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
2376.7
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
2375.0
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
2366.7
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
2350.7
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
2346.9
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
2339.8
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
2331.1
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
2328.5
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
2298.1
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
2295.4
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
2282.4
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
2255.4
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
2235.9
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
2164.9
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
2156.8
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
2148.5
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
2126.1
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
2117.5
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
2115.7
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
2086.9
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
2084.7
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
2077.2
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
2068.4
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
2051.2
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
2040.5
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
2032.9
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
2014.5
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
1990.0
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1977.5
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
1975.8
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1967.3
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
1952.9
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
1943.1
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
1909.4
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
1893.3
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
1854.3
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
1848.9
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
1846.6
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
1839.1
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
1827.7
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
1799.4
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
1796.0
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
1780.2
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
1771.2
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
1765.1
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
1757.8
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
1750.9
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
1737.3
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
1735.6
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
1723.1
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
1715.1
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
1710.2
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
1693.0
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
1692.0
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
1668.9
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
1663.1
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
1653.9
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
1653.4
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
1650.3
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
1642.4
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
1627.4
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
1626.3
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
1617.8
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
1582.0
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
1555.3
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
1547.5
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
1531.9
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
1526.3
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
1511.8
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
1506.3
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
1490.9
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
1487.3
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
1483.1
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
1462.4
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
1435.1
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
1430.3
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
1428.2
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
1424.4
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
1419.8
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
1402.5
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
1400.1
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
1388.7
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
1382.0
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
1372.4
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
1371.8
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
1363.0
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
1350.1
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1349.1
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
1345.9
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
1326.9
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
1323.7
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
1322.8
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
1322.8
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
1293.6
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
1273.9
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
1268.2
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
1256.9
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
1242.3
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
1226.0
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
1206.0
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
1205.6
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
1204.1
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
1200.1
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
1194.0
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
1190.7
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
1185.4
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
1177.4
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
1165.9
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
1159.7
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
1148.3
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
1147.2
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
1147.1
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
1140.7
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
1138.9
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1131.7
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
1124.4
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
1119.6
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
1116.9
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
1088.1
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
1073.3
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1048.6
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
1040.8
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
1014.7
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
1011.9
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
999.1
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
968.6
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
961.0
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
951.1
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
944.7
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
931.4
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
914.1
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
903.3
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
895.0
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
888.4
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
888.2
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
886.9
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
839.7
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
839.6
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
822.3
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
818.7
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
817.9
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
813.5
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
800.1
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
757.7
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
564.4
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
535.3
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
182.7
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
1.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
1.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.9
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.0
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.4
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.6
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.6
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.7
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.7
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.8
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.9
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.9
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.9
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-1.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-1.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.