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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.
TMSB10 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
6723.9
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
15829.6
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
15757.9
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
15222.8
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
15200.8
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
14624.2
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
14258.8
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
13613.6
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
12602.5
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
12538.5
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
12476.5
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
12439.1
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
12284.9
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
11495.3
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
11478.1
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
11346.6
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
11290.1
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
11043.5
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
10928.9
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
10793.2
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
10773.3
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
10725.2
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
10645.2
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
10581.8
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
10475.1
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
10378.1
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
10264.1
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
10096.2
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
9915.1
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
9836.5
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
9708.4
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
9620.8
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
9353.0
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
9223.2
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
9151.3
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
9091.6
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
9022.0
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
9015.0
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
9005.6
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
8913.5
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
8857.2
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
8782.2
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
8653.5
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
8634.7
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
8491.7
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
8491.2
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
8484.2
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
8379.9
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
8375.3
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
8364.4
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
8357.2
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
8269.0
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
8268.2
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
8156.6
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
8151.8
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
8092.1
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
8082.0
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
8038.4
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
7985.3
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
7922.0
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
7915.4
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
7893.7
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
7881.0
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
7872.8
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
7867.4
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
7845.3
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
7753.1
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
7704.2
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
7682.9
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
7660.3
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
7640.3
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
7630.8
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
7615.1
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
7592.2
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
7559.7
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
7529.0
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
7496.0
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
7469.5
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
7428.9
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7376.4
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
7356.0
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
7295.2
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
7137.8
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
7137.0
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
7118.6
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
7117.7
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
7103.3
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
7086.8
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
7077.4
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
7068.0
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
7055.8
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
7045.6
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
7018.1
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
6944.0
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
6917.5
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
6909.2
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
6876.2
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
6868.6
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
6853.0
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
6851.6
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
6835.5
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
6827.7
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
6769.9
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
6734.2
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
6728.8
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
6712.1
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
6699.6
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
6698.1
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
6679.0
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
6673.7
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
6670.6
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
6643.4
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
6642.1
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
6637.7
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
6607.8
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
6577.9
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
6575.8
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
6491.1
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
6484.3
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
6476.1
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
6448.6
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
6415.4
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
6390.3
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
6381.5
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
6381.0
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
6347.2
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
6344.8
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
6327.7
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
6300.6
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
6247.1
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
6212.1
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
6161.6
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
6136.9
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
6121.4
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
6120.2
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
6102.2
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
6098.0
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
6061.3
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
5944.3
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
5943.5
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
5923.9
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
5921.8
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
5910.8
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
5904.7
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
5881.6
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
5871.7
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
5835.7
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
5760.1
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
5751.6
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
5737.9
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
5737.8
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
5733.0
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
5730.1
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
5716.4
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
5690.8
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
5688.5
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
5668.0
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
5666.0
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
5659.7
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
5651.6
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
5646.6
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
5586.2
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
5579.6
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
5558.4
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
5518.5
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
5517.7
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
5504.5
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
5475.0
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
5471.7
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
5454.4
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
5418.4
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5381.6
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
5351.6
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
5347.4
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
5341.2
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
5290.4
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
5270.9
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
5223.8
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
5217.6
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
5193.2
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
5190.8
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
5180.4
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
5154.7
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
5137.4
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
5119.8
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
5068.0
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
5067.2
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
5043.5
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
5032.1
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
4999.6
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
4961.3
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
4899.3
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
4894.3
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
4874.9
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
4867.9
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
4861.4
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
4831.7
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
4823.6
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
4814.4
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
4810.6
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
4806.5
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
4806.1
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
4801.5
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
4773.7
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
4770.3
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
4726.5
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
4695.0
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
4686.4
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
4682.8
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
4673.8
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
4667.8
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
4664.6
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
4657.8
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
4649.0
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
4612.6
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
4595.1
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
4558.6
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
4480.2
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
4457.3
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
4405.5
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
4394.7
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
4376.8
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
4362.0
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
4314.1
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
4302.9
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
4299.9
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
4247.9
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
4198.2
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
4192.6
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
4164.5
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
4156.5
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
4117.8
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
4112.7
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
3980.3
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
3937.0
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
3929.1
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
3923.0
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
3875.5
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
3865.1
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
3836.2
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3816.0
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3785.0
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
3664.0
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
3644.5
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
3590.7
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
3553.9
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
3498.5
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
3484.0
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
3271.3
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2978.0
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
2972.3
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
2854.6
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
2750.1
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
2584.2
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 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.
TMSB10 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
3816.1
Number of samples
486
Samples
Sample
Description
pTPM
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
8565.4
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
8257.9
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
8113.7
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
8109.2
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
8075.0
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
7726.2
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
7689.4
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
7486.8
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
7350.4
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
7219.3
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
7195.9
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
7072.0
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
7029.0
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
7001.2
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
6781.7
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
6662.2
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
6649.8
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
6570.2
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
6562.4
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
6503.4
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
6483.2
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
6358.2
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
6342.0
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
6312.0
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
6298.6
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
6239.2
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
6221.5
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
6185.8
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
6159.7
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
6152.4
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
6138.7
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
6132.9
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
5991.6
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
5951.0
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
5926.9
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
5876.2
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
5854.7
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
5824.5
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
5768.0
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
5753.5
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
5702.1
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
5697.6
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
5635.3
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
5631.8
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
5628.8
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
5614.3
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
5604.2
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
5564.8
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
5562.2
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
5530.9
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
5529.9
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
5424.2
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
5378.4
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
5363.1
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
5356.7
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
5338.8
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
5326.2
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
5324.1
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
5313.5
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
5308.8
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
5280.5
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
5273.3
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
5273.1
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
5270.1
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
5233.6
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
5232.8
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
5222.1
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
5162.3
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
5140.4
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
5135.0
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
5133.4
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
5112.7
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
5094.1
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
5076.3
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
5069.8
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
5061.6
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
5046.1
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
5040.6
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
5031.1
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
5023.2
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
5014.3
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
4997.3
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
4990.8
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
4977.9
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
4964.6
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
4941.2
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
4938.4
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
4931.1
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
4926.6
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
4908.5
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
4902.2
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
4898.9
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
4896.4
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
4892.6
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
4891.7
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
4880.9
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
4874.3
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
4858.5
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
4857.4
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
4856.5
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
4850.3
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
4849.5
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
4841.8
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
4830.7
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
4816.3
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
4815.6
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
4814.2
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
4813.9
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
4797.2
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
4794.4
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
4752.0
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
4750.6
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
4744.3
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
4742.2
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
4730.4
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
4690.8
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
4665.2
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
4652.2
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
4652.1
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
4648.9
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
4645.4
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
4611.3
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
4599.8
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
4574.1
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
4570.3
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
4569.3
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
4558.6
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
4555.9
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
4554.8
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
4542.6
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
4537.8
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
4537.4
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
4513.0
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
4512.6
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
4501.1
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
4461.9
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
4456.1
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
4438.5
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
4429.6
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
4426.3
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
4419.1
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
4407.3
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
4398.8
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
4396.1
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
4381.2
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
4363.4
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
4354.2
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
4351.2
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
4346.9
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
4332.9
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
4307.6
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
4294.7
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
4286.8
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
4277.8
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
4269.1
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
4263.8
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
4244.1
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
4242.6
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
4236.9
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
4235.0
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
4232.2
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
4211.1
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
4207.2
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
4201.8
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
4188.8
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
4174.3
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
4163.4
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
4139.6
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
4137.4
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
4133.8
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
4129.8
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
4126.9
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
4123.0
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
4110.2
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
4096.9
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
4080.1
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
4076.9
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
4076.4
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
4049.4
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
4044.7
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
4030.5
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
4027.2
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
4025.7
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
4013.0
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
4009.6
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
4003.4
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
3985.9
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
3984.4
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
3972.7
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
3968.0
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
3967.9
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
3961.3
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
3958.6
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
3941.4
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
3939.9
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
3925.5
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
3921.1
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
3919.4
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
3910.0
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
3907.1
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
3898.3
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
3894.7
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
3888.2
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
3887.8
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
3884.4
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
3875.5
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
3866.3
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
3865.1
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
3863.1
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
3860.8
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
3849.8
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
3848.7
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
3838.5
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
3838.2
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
3834.6
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
3830.8
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
3830.1
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
3829.6
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
3813.4
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
3803.9
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
3797.6
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
3794.1
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
3785.6
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
3772.9
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
3772.6
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
3766.7
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
3756.5
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
3741.6
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
3741.3
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
3735.3
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
3713.8
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
3710.3
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
3703.0
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
3668.7
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
3659.3
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
3655.0
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
3647.9
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
3641.9
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
3626.3
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
3623.2
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
3615.8
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
3602.3
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
3592.8
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
3583.1
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
3581.5
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
3579.1
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
3572.5
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
3566.4
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
3536.2
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
3533.3
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
3517.5
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
3516.5
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
3513.1
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
3511.5
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
3508.1
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
3503.3
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
3490.8
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
3482.5
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
3481.1
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
3473.9
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
3467.4
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
3456.4
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
3446.4
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
3437.8
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
3430.5
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
3427.6
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
3414.2
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
3391.9
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
3391.4
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
3388.4
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
3387.5
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
3386.0
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
3376.4
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
3372.0
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
3362.2
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
3361.4
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
3357.9
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
3356.7
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
3355.3
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
3352.8
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
3340.1
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3337.6
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
3336.7
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
3330.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
3330.3
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
3326.9
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
3320.6
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
3314.7
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
3305.8
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
3302.9
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
3301.5
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
3299.4
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
3292.8
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
3288.4
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
3266.7
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
3264.5
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
3264.2
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
3263.6
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
3240.9
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
3238.7
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
3232.2
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
3232.2
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
3218.5
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
3206.9
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
3198.2
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
3181.2
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
3178.8
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
3178.5
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
3175.3
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
3160.6
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
3153.6
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
3140.3
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
3133.4
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
3128.7
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
3124.9
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
3115.3
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
3112.0
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
3094.5
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
3079.9
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
3077.6
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
3076.5
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
3072.8
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
3058.4
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
3058.3
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
3051.6
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
3047.6
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
3025.0
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
3021.9
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
3015.9
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
3014.2
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
3014.0
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
3014.0
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
3004.0
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
2995.2
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
2994.4
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
2985.7
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
2967.0
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
2959.6
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
2955.9
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
2955.1
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
2948.0
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
2922.2
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
2919.8
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
2919.6
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
2908.6
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
2903.3
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
2897.7
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
2895.8
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
2888.8
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
2887.1
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
2877.9
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
2868.8
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
2868.0
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
2867.2
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
2864.8
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
2859.4
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
2857.6
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
2855.2
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
2850.6
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
2846.5
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
2844.9
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
2841.1
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
2839.5
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
2820.6
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
2818.2
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
2811.9
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
2808.6
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
2790.6
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
2790.0
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
2789.0
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
2785.3
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
2776.8
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
2774.6
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
2766.7
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
2764.4
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
2755.1
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
2754.2
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
2753.4
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
2748.2
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
2744.6
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
2743.2
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
2732.9
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
2713.8
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
2710.0
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
2703.2
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
2699.7
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
2692.5
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
2690.1
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
2684.5
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
2683.7
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
2683.0
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
2675.2
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
2673.0
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
2672.7
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
2666.8
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
2665.9
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
2661.4
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
2657.0
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
2650.9
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
2647.3
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
2646.1
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
2640.2
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2629.6
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
2628.3
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
2622.0
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
2615.9
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
2612.5
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
2607.9
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
2590.0
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
2589.5
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
2573.9
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
2569.8
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
2568.4
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
2563.8
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
2548.2
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
2548.2
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
2539.2
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
2535.7
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
2533.2
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
2529.0
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
2518.5
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
2503.6
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
2491.9
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
2479.1
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
2463.9
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
2460.9
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
2460.4
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
2460.0
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
2459.1
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
2455.1
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
2454.3
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
2452.6
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
2440.6
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
2412.3
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
2409.4
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
2409.2
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
2397.6
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
2393.7
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
2392.6
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
2390.8
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
2373.5
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
2370.3
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
2308.5
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
2305.5
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
2287.2
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
2256.4
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
2254.5
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
2254.4
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
2253.4
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
2252.3
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
2240.1
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
2231.4
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
2230.6
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
2217.3
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
2191.1
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
2187.5
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
2187.2
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
2177.6
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
2168.0
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
2160.8
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
2157.2
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
2147.9
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
2129.6
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
2122.6
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
2104.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
2097.6
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
2096.1
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
2059.9
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
2059.0
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
2005.0
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
1962.8
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
1960.6
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
1945.2
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
1922.9
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
1913.7
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
1912.2
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
1904.8
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
1860.3
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
1835.1
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
1777.3
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
1744.8
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
1726.0
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
1660.9
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
1596.5
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
1380.3
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.
TMSB10 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
6311.8
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
31908.4
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
14164.8
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
11151.3
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
10277.5
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
9729.7
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
9628.0
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
9590.6
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
9346.7
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
8989.7
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
8751.9
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
8441.1
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
8293.8
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
8281.3
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
8163.0
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
7631.7
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
7626.8
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
7601.4
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
7560.0
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
7421.8
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
7396.7
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
7342.4
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
7173.4
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
6947.3
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
6836.8
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
6725.2
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
6708.3
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
6692.3
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
6681.7
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
6515.3
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6470.7
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
6410.7
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
6364.9
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
6359.2
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
6285.5
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
6214.6
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
6170.4
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
6097.1
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
5971.3
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
5918.9
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
5869.9
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
5855.0
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
5819.7
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
5790.4
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
5731.1
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
5693.9
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
5565.3
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
5520.0
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
5356.1
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
5324.6
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
5306.1
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
5285.3
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
5281.8
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
5258.7
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
5242.0
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
5161.8
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
5160.0
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
5092.1
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
5022.4
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
5004.5
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
4960.7
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
4954.2
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
4869.9
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
4779.2
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
4760.0
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
4745.3
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
4686.8
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
4658.6
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
4655.8
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
4612.7
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
4585.4
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
4453.2
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
4444.9
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
4424.4
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
4380.9
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
4272.6
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
4235.8
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
4233.2
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
4215.8
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
4163.8
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
4076.3
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
3825.0
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
3756.5
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
3670.2
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
3323.0
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
3057.9
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
3032.0
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
2869.7
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 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.
TMSB10 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
2832.6
Number of samples
207
Samples
Sample
Description
pTPM
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
5846.1
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
5225.6
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
4986.9
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
4962.7
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
4831.2
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
4770.7
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
4715.9
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
4678.5
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
4479.0
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
4459.0
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
4374.1
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
4304.7
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
4262.3
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
4137.6
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
4092.9
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
4074.9
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
4056.5
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
4043.5
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
4021.4
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
3998.5
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
3971.4
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
3858.7
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
3793.0
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
3640.7
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
3633.2
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
3591.5
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
3566.3
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
3558.1
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
3536.3
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
3533.3
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
3524.3
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
3476.2
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
3472.7
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
3472.2
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
3465.2
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
3448.6
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
3447.2
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
3441.9
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
3439.3
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
3417.6
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
3407.5
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
3396.9
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
3375.4
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
3341.4
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
3333.8
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
3322.7
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
3320.8
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
3316.7
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
3314.8
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
3306.3
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
3303.6
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
3300.5
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
3295.5
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
3290.6
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
3285.2
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
3275.9
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
3256.4
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
3236.0
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
3232.5
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
3230.2
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
3222.5
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
3215.0
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
3204.2
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
3194.8
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
3184.0
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
3182.4
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
3160.4
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
3148.1
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
3129.9
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
3129.9
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
3112.7
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
3104.2
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
3098.7
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
3077.1
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
3072.4
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
3064.7
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
3060.8
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
3056.2
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
3028.8
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
3020.6
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
3020.2
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
2984.8
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
2973.2
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
2971.3
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
2968.3
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
2961.0
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2956.9
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
2954.4
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
2947.6
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
2946.3
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
2939.3
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
2935.2
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
2919.2
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
2918.2
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
2906.2
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
2905.1
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
2887.7
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
2826.9
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
2805.6
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
2804.5
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
2798.8
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
2797.3
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
2793.1
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
2792.9
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
2791.9
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
2780.4
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
2780.4
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
2780.0
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
2738.5
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
2737.0
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
2722.9
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
2703.3
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
2693.5
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
2683.8
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
2679.5
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
2657.2
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
2643.4
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
2631.9
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
2626.3
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
2611.3
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
2607.4
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
2595.4
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
2592.2
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
2583.8
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
2560.4
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
2557.7
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
2541.5
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
2538.9
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
2537.5
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
2512.2
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
2507.8
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
2496.1
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
2469.9
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
2465.6
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
2449.3
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
2420.0
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
2415.1
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
2412.0
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
2412.0
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
2411.1
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
2398.0
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
2395.4
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
2384.8
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
2375.9
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
2361.5
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
2352.2
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
2349.7
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
2338.8
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
2337.8
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
2326.7
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
2324.1
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
2322.5
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
2312.9
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
2281.3
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
2254.8
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
2250.5
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
2248.2
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
2221.7
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
2210.7
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
2206.6
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
2199.8
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
2191.3
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
2183.9
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
2181.0
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
2170.6
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
2160.1
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
2153.9
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
2141.9
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
2135.6
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
2110.8
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
2106.8
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
2088.1
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
2069.2
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
2064.4
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
2050.0
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
2030.4
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
2022.7
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
2015.0
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
2010.4
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
1981.2
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1944.1
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
1940.3
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
1936.0
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
1931.8
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
1848.1
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
1844.6
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
1829.0
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
1818.9
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
1813.6
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1795.5
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
1788.3
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
1777.7
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
1777.3
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1760.3
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
1662.2
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
1629.3
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
1620.3
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
1579.0
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
1561.9
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
1533.1
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
1532.8
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
1519.9
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
1497.6
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
1495.3
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
1429.0
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
1418.7
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
473.4
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
1.8
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
1.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
1.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
1.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.8
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.7
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.7
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.6
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
b2400046-1d25-429d-a821-6040a6
Tumor
0.6
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.6
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.7
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.7
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.8
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.8
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.9
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.9
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.9
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.9
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.9
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.9
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.9
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.9
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-1.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.0
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-1.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-1.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-1.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-1.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.6
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.6
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-1.8
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.9
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.9
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-2.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-2.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-2.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-2.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-2.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-2.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-2.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-2.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-2.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-2.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-2.9
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-3.4
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.
The Human Protein Atlas project is funded
