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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.
TMSB4X 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
6746.5
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
18577.4
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
14035.3
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
13820.1
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
13412.6
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
13379.5
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
13164.3
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
12648.1
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
12493.3
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
12350.3
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
12289.1
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
12230.4
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
11910.7
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
11836.4
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
11623.0
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
11392.2
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
11380.9
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
11300.5
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
11238.4
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
11095.9
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
11059.3
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
11016.7
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
10785.2
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
10507.2
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
10354.8
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
10312.1
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
10203.1
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
10199.9
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
10088.6
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
9992.3
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
9863.8
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
9862.8
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
9799.6
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
9796.5
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
9709.0
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
9625.8
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
9607.9
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
9530.1
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
9371.4
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
9308.2
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
9285.3
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
9270.8
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
9243.8
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
9237.1
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
9173.7
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
9155.4
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
9132.0
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
9127.3
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
9020.3
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
9007.9
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
8959.3
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
8932.8
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
8746.7
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
8738.8
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
8725.3
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
8724.1
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
8634.5
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
8569.0
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
8508.0
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
8493.4
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
8416.6
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
8378.9
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
8354.7
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
8352.4
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
8335.0
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
8261.7
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
8232.5
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
8226.3
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
8213.3
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
8147.7
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
8144.6
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
8096.4
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
8053.8
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
7948.6
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
7941.6
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
7925.7
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
7849.3
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
7845.2
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
7834.2
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
7826.2
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
7764.5
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
7748.5
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
7711.4
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
7703.3
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
7676.5
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
7625.3
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
7514.9
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
7440.1
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
7436.6
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
7414.9
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
7398.2
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
7388.1
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7368.8
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
7331.3
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
7312.9
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
7275.4
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
7223.3
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
7201.5
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
7037.8
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
7034.7
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
7011.7
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
6963.0
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
6942.4
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
6936.6
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
6909.4
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
6905.3
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
6896.8
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
6874.0
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
6856.5
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
6826.3
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
6813.1
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
6804.3
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
6758.5
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
6727.9
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
6708.7
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
6622.2
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
6616.7
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
6604.9
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
6596.1
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
6588.1
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
6572.3
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
6563.7
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
6546.1
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
6533.1
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
6512.0
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
6483.1
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
6471.7
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
6467.3
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
6467.1
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
6458.3
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
6398.7
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
6368.0
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
6319.8
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
6302.6
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
6266.9
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
6260.1
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
6226.1
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
6225.9
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
6185.9
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
6143.3
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
6137.8
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
6067.7
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
5876.8
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
5863.8
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
5860.3
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5845.4
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
5836.6
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
5815.7
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
5810.5
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
5790.3
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
5782.3
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
5735.8
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
5732.3
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
5732.2
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
5728.4
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
5717.5
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
5682.7
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
5663.5
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
5644.3
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
5619.4
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
5543.1
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
5540.9
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
5504.8
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
5437.8
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
5429.7
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
5426.7
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
5415.3
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
5408.2
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
5405.9
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
5402.8
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
5374.9
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
5362.8
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
5344.9
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
5330.8
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
5326.8
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
5306.0
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
5292.0
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
5284.1
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
5223.4
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
5210.0
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
5182.6
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
5138.5
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
5122.4
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
5109.9
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
5094.7
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
5080.5
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
5066.4
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
5038.0
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
4982.7
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
4976.9
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
4971.2
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
4965.3
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
4908.7
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
4906.3
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
4859.9
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
4850.0
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
4844.3
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
4689.3
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
4661.9
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
4643.5
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
4627.3
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
4611.7
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
4597.6
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
4578.6
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
4532.7
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
4518.2
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
4507.5
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
4477.6
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
4381.0
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
4362.9
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
4357.1
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
4325.5
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
4287.1
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
4246.5
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
4165.9
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
4134.7
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
4062.0
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
4038.8
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
3916.4
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
3852.9
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
3822.1
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3762.5
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
3734.1
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
3719.8
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
3686.2
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3657.6
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
3589.5
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
3551.8
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
3454.1
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
3391.4
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
3368.6
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
3287.9
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
3281.4
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
3258.9
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
3257.6
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
3253.0
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
3244.1
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
3209.0
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
3170.8
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
3155.2
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
3098.9
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
3088.8
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
3003.1
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
3002.8
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
2994.4
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
2892.7
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
2819.0
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
2797.3
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
2779.6
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
2773.1
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
2728.2
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
2691.7
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
2220.4
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
2104.1
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 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.
TMSB4X 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
2808.9
Number of samples
486
Samples
Sample
Description
pTPM
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
7671.3
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
7336.0
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
6971.4
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
6708.9
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
5754.8
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
5457.4
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
5439.2
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
5311.3
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
5224.8
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
5163.4
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
5010.0
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
4825.7
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
4819.1
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
4796.6
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
4793.7
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
4777.9
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
4772.7
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
4758.2
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
4703.6
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
4671.9
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
4653.2
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
4627.8
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
4588.9
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
4578.9
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
4572.7
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
4548.4
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
4539.8
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
4505.7
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
4475.6
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
4381.8
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
4354.2
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
4331.3
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
4298.8
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
4221.0
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
4213.0
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
4192.1
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
4190.0
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
4188.3
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
4179.9
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
4144.9
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
4116.8
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
4111.9
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
4103.4
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
4073.5
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
4065.2
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
4044.2
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
4043.0
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
4038.2
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
4024.4
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
3993.3
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
3980.1
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
3970.6
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
3962.8
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
3952.8
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
3948.0
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
3946.5
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
3945.7
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
3911.6
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
3874.9
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
3872.9
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
3860.7
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
3851.2
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
3849.0
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
3847.2
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
3841.2
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
3820.2
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
3807.8
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
3767.2
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
3745.9
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
3743.4
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
3721.3
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
3713.3
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
3686.3
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
3674.9
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3666.7
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
3650.4
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
3646.7
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
3638.9
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
3631.5
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
3627.4
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
3598.2
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
3595.2
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
3590.5
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
3575.6
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
3570.6
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
3569.3
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
3544.5
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
3516.0
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
3512.1
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
3506.8
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
3484.2
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
3476.7
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
3470.9
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
3466.3
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
3464.1
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
3462.3
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
3461.9
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
3458.6
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
3454.7
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
3450.8
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
3450.3
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
3449.3
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
3441.5
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
3376.5
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
3369.3
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
3360.8
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
3359.3
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
3358.9
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
3357.9
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
3353.0
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
3352.7
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
3337.6
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
3329.6
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
3325.4
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
3320.2
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
3318.7
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
3310.5
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
3308.6
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
3303.5
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
3294.3
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
3293.8
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
3291.8
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
3284.4
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
3283.3
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
3281.8
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
3280.9
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
3279.7
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
3263.0
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
3259.9
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
3258.0
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
3254.2
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
3253.7
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
3249.0
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
3233.3
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
3232.7
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
3229.5
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
3223.1
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
3195.6
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
3194.9
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
3188.5
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
3181.1
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
3167.9
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
3162.8
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
3162.0
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
3147.2
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
3125.9
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
3122.2
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
3117.4
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
3104.7
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
3103.3
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
3096.3
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
3080.5
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
3077.9
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
3050.2
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
3045.7
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
3043.9
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
3031.1
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
3019.5
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
3018.7
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
3018.1
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
3017.5
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
3004.4
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
3000.1
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
2996.5
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
2992.9
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
2991.1
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
2977.5
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
2973.6
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
2966.9
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
2966.6
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
2951.4
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
2951.0
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
2942.7
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
2936.4
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
2933.5
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
2932.6
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
2930.1
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
2928.2
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
2927.6
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
2912.8
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
2911.1
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
2910.2
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
2901.6
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
2898.6
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
2897.1
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
2892.9
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
2888.9
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
2882.6
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
2875.7
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
2872.3
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
2872.0
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
2870.2
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
2868.7
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
2864.7
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
2861.0
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
2859.9
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
2854.9
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
2853.0
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2850.6
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
2850.1
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
2849.8
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
2837.4
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
2829.4
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
2827.0
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
2825.0
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
2819.4
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
2819.1
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
2817.7
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
2814.2
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
2805.3
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
2797.0
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
2782.7
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
2779.9
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
2779.5
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
2771.8
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
2771.6
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
2768.2
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
2762.6
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
2762.5
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
2761.5
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
2758.5
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
2751.1
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
2744.4
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
2744.0
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
2742.0
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
2739.0
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
2737.6
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
2737.0
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
2733.3
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
2720.2
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
2719.5
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
2716.2
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
2708.2
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
2703.7
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
2700.4
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
2688.5
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
2683.3
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
2680.5
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
2678.6
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
2676.4
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
2675.8
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
2671.6
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
2671.4
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
2663.3
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
2658.5
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
2658.0
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
2656.6
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
2653.7
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
2652.1
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
2647.6
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
2646.6
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
2643.7
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
2642.2
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
2640.9
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
2630.7
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
2621.0
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
2609.7
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
2608.4
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
2604.0
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
2601.8
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
2598.7
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
2597.1
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
2596.7
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
2595.3
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
2583.6
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
2580.3
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
2579.2
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
2575.2
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
2573.8
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
2573.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
2559.2
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
2557.6
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
2550.9
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
2545.3
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
2535.3
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
2527.5
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
2518.7
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
2511.7
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
2497.9
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
2494.5
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
2489.8
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
2489.3
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
2482.3
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
2481.1
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
2477.6
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
2477.1
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
2472.8
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
2471.7
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
2464.2
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
2461.7
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
2458.5
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
2457.3
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
2456.0
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
2455.9
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
2453.0
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
2450.8
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
2447.9
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
2441.5
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
2437.1
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
2436.8
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
2436.0
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
2428.9
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
2425.0
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
2424.5
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
2413.1
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
2411.1
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
2410.2
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
2400.3
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
2399.2
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
2398.3
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
2392.5
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
2390.8
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
2389.3
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
2388.9
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
2379.6
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
2377.4
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
2375.3
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
2372.7
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
2365.9
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
2365.4
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
2359.9
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
2359.4
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
2358.8
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
2354.8
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
2352.2
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
2348.7
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
2323.5
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
2323.3
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
2322.8
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
2320.7
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
2319.3
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
2310.0
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
2305.6
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
2302.5
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
2300.0
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
2291.5
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
2289.1
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
2277.9
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
2277.1
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
2276.6
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
2270.6
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
2270.3
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
2264.5
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
2262.8
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
2261.2
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
2257.3
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
2257.2
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
2253.8
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
2252.8
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
2251.3
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
2250.5
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
2250.1
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
2249.4
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
2249.0
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
2247.0
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
2232.7
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
2200.2
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
2199.5
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
2197.4
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
2196.4
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
2193.7
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
2193.4
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
2190.6
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
2183.7
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
2179.1
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
2178.4
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
2176.3
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
2175.1
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
2174.4
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
2173.5
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
2164.0
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
2163.3
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
2161.9
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
2155.9
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
2153.7
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
2150.8
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
2136.4
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
2134.3
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
2131.3
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
2120.4
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
2119.9
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
2118.1
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
2109.6
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
2102.7
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
2100.6
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
2086.3
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
2082.3
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
2077.0
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
2076.8
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
2074.5
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
2072.4
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
2064.7
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
2059.7
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
2057.4
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
2047.9
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
2043.2
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
2037.0
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
2031.2
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
2024.0
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
2021.3
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
2020.1
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
2019.6
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
2018.2
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
2014.8
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
2011.0
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
2007.6
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
2000.2
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
1994.9
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
1988.3
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
1963.4
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
1950.7
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
1944.2
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
1934.2
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
1933.7
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
1929.3
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
1926.2
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
1918.6
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
1911.9
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
1909.4
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
1909.1
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
1906.2
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
1903.3
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
1893.9
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
1888.4
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
1885.5
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
1874.9
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
1870.8
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
1869.6
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
1868.9
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
1863.4
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
1845.8
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
1833.1
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
1809.7
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
1807.7
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
1797.7
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
1792.5
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
1788.3
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
1775.2
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
1768.9
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
1765.2
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
1764.0
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
1757.9
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
1752.4
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
1749.6
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
1733.2
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
1726.5
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
1711.2
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
1709.9
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
1692.6
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
1692.5
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
1692.1
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
1670.0
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
1668.0
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
1664.4
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
1662.1
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
1645.7
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
1645.4
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
1642.9
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
1635.0
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
1613.4
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
1599.5
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
1576.1
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
1566.1
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
1539.5
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
1531.8
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
1519.9
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
1515.0
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
1501.6
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
1500.9
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
1476.3
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
1457.4
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
1456.4
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
1430.3
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
1424.0
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
1421.0
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
1408.7
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
1393.8
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
1388.3
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
1331.1
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
1321.0
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
1293.9
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
1238.8
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
1185.4
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
952.6
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
787.2
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.
TMSB4X 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
7076.5
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
21345.3
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
17973.5
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
14959.8
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
14446.9
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
13362.9
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
13010.7
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
12570.5
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
12021.6
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
11378.7
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
11233.8
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
11220.8
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
11015.8
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
10480.0
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
10252.9
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
9626.7
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
9353.9
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
9328.7
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
8940.9
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
8744.9
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
8705.2
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
8577.1
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
8490.6
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
8151.3
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
7850.6
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
7718.2
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
7608.5
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
7556.7
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
7350.0
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
7308.5
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
7280.1
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
7250.7
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
7169.7
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
7147.7
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
7142.1
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
6877.9
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
6812.2
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
6806.7
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
6691.8
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
6590.3
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
6509.8
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
6408.1
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
6312.6
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
6243.1
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
6163.2
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
6161.6
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
6077.9
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
6061.0
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
5834.9
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
5715.1
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
5710.6
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
5708.0
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
5683.0
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
5625.6
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
5623.3
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
5592.0
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
5549.6
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
5489.6
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
5448.0
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
5419.5
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
5397.0
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
5362.1
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
5297.8
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
5237.9
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
5229.9
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
5207.2
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
5194.0
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
5177.9
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
5137.0
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
5113.1
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
5013.6
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
4945.5
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
4844.9
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
4799.2
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
4397.5
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
4365.5
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
4076.6
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
3988.8
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
3956.8
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
3948.9
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
3903.8
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
3822.0
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
3769.6
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
3583.9
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
3253.9
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
3224.6
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
2686.9
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
2332.2
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 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.
TMSB4X 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
2309.9
Number of samples
207
Samples
Sample
Description
pTPM
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
7407.1
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
5625.8
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
4931.8
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
4735.0
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
4730.5
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
4577.0
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
4411.9
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
4308.4
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
4167.3
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
3972.8
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
3967.8
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
3883.6
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
3763.9
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
3725.4
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
3700.7
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
3690.7
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
3671.5
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
3670.6
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
3627.4
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
3577.7
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
3571.7
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
3404.2
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
3399.4
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
3390.4
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
3349.0
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
3320.6
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
3275.0
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
3248.9
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
3207.7
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
3191.0
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
3123.9
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
3120.3
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
3119.9
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
3102.6
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
3063.7
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
2987.3
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
2969.8
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
2960.7
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
2960.0
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
2955.9
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
2903.8
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
2872.5
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
2836.9
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
2820.5
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
2817.6
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
2770.1
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
2769.1
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
2738.6
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
2735.7
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
2731.8
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
2724.3
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
2723.2
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
2715.5
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
2707.2
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
2706.0
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
2704.7
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
2691.8
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
2683.4
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
2645.4
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
2644.7
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
2629.4
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
2623.6
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
2611.6
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
2608.7
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
2599.9
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
2583.7
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
2567.7
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
2548.5
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
2494.5
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
2493.0
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
2489.7
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
2478.0
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
2473.9
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
2462.9
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
2447.2
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
2428.6
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
2395.1
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
2389.2
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
2380.4
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
2366.3
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
2353.5
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
2343.9
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
2328.4
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
2327.4
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
2304.3
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
2300.0
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
2273.6
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
2264.4
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
2262.7
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
2250.3
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
2243.4
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
2241.2
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
2238.4
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
2234.3
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
2229.2
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
2213.0
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
2212.8
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
2208.8
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
2200.2
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
2192.3
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
2186.1
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
2181.7
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
2178.7
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
2151.2
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
2149.9
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
2131.8
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
2127.0
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
2122.1
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
2121.3
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
2105.2
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
2095.4
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
2085.3
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
2082.7
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
2070.9
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
2067.3
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
2057.6
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
2055.2
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
2040.2
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
2036.1
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
2032.5
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
2032.2
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
2027.2
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
2027.1
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
2026.7
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
2020.4
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
1998.3
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
1995.3
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
1994.6
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
1986.9
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
1965.1
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
1946.3
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
1935.4
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
1934.4
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
1915.0
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
1904.2
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
1902.3
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
1887.0
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
1882.2
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
1881.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
1880.2
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
1869.5
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
1865.9
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
1856.5
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
1854.9
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
1810.0
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
1792.0
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
1775.0
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
1768.5
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
1767.1
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
1764.3
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
1751.9
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
1743.1
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
1734.7
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
1732.8
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
1711.5
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
1695.0
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
1694.8
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1667.9
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
1667.2
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
1661.5
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
1646.9
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
1635.3
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
1616.6
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
1597.1
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
1587.7
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
1581.7
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
1558.5
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
1551.2
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
1537.8
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
1536.5
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
1533.5
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
1522.9
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
1516.4
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
1515.4
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1514.3
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
1498.1
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
1478.5
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
1465.8
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
1443.8
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
1438.9
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
1433.1
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
1432.7
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
1417.5
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
1407.1
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
1377.9
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
1363.0
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
1362.3
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
1341.9
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
1339.0
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
1328.1
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
1321.5
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
1288.5
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
1282.4
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
1280.6
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
1231.9
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
1175.8
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
1145.2
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
1141.2
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
1001.0
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
971.8
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
962.2
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
950.1
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
890.9
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
870.1
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
697.3
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
684.0
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
185.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
1.7
b2400046-1d25-429d-a821-6040a6
Tumor
1.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
1.6
8cc7e656-0152-4359-8566-0581c3
Tumor
1.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
1.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
1.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
1.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
1.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
1.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
1.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
1.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
1.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
1.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.9
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.8
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.8
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.8
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.7
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
0.6
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.6
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.6
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.3
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.6
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.7
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.9
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.9
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.9
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.9
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.9
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-1.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-1.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-1.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-1.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-1.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-1.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
-1.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-1.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-1.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-1.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-1.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-1.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-1.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.8
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.9
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.9
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.9
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-2.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-2.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-2.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-2.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-2.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-2.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-2.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-2.7
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-3.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-3.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-3.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
