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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.
FTH1 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2990.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
13646.6
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
7001.3
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
6973.9
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
6864.4
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
6820.1
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
6220.7
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
5657.5
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
5531.7
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
5525.0
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
5454.3
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
5427.9
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
5381.5
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
5332.4
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
5307.4
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
5240.2
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
5156.1
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
5154.1
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
5152.0
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
5063.0
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
5048.1
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
5037.8
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
4925.7
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 days
4925.1
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
4884.5
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
4732.3
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
4698.3
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
4650.2
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
4599.5
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
4547.9
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
4538.0
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
4517.8
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
4511.2
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
4511.1
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
4509.7
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
4444.4
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
4357.2
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
4344.9
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
4320.2
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
4311.9
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
4305.1
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
4232.6
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
4231.1
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
4219.7
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
4194.5
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
4126.8
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
4103.3
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
4087.9
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
4073.2
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
4071.9
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
4068.3
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
4027.0
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
3969.7
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
3927.8
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
3921.1
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
3855.5
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
3826.8
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
3790.9
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
3786.6
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
3765.5
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
3757.1
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
3742.8
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
3742.3
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
3696.8
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
3683.8
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
3666.2
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
3648.0
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
3640.3
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
3581.8
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3573.2
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
3538.2
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
3527.0
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
3510.9
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
3492.0
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
3448.6
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
3419.2
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3352.6
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
3352.1
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
3288.4
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
3276.3
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
3256.1
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
3228.7
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
3204.5
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
3184.0
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
3175.2
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
3172.1
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
3167.8
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
3165.0
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
3158.2
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
3143.6
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
3139.0
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
3133.1
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
3130.7
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
3125.8
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
3118.1
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
3110.2
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
3110.0
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
3095.2
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
3091.3
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
3063.5
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
3048.8
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
3042.3
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
3029.8
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
3012.6
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
3008.6
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
3000.6
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
2998.8
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
2952.6
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
2949.1
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
2948.1
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
2933.0
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2924.1
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
2921.0
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
2910.6
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
2897.4
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
2885.7
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
2866.0
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
2862.4
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
2830.0
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2825.3
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
2824.5
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
2802.8
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
2802.0
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
2798.6
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2798.0
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
2777.5
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
2770.1
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
2763.8
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
2750.7
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
2719.1
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
2707.0
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
2666.0
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
2663.3
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
2654.8
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
2652.1
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
2640.1
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
2639.7
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
2627.3
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
2613.9
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
2595.8
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
2582.5
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
2582.0
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
2559.5
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
2553.9
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
2528.5
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
2522.5
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
2509.0
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2507.9
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
2483.4
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
2479.6
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2464.6
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
2461.1
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2445.9
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
2435.2
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
2429.1
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
2421.1
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
2420.9
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
2419.7
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
2418.9
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
2413.7
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
2406.6
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
2396.5
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
2396.1
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
2393.1
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
2386.1
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
2370.8
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
2358.6
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
2347.9
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
2337.7
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2329.2
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
2317.7
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
2316.5
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
2305.6
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2302.8
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2302.1
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
2296.0
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
2285.1
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
2275.6
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
2252.5
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
2248.3
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
2213.7
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
2187.5
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
2185.2
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
2167.0
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
2163.6
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
2157.9
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
2153.8
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
2145.3
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
2144.5
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
2121.7
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
2117.7
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
2103.8
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
2097.2
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
2068.3
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
2061.8
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
2048.0
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
2033.4
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
2031.1
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
2012.9
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
2005.1
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
1989.7
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
1978.3
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
1966.8
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
1918.0
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1890.9
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
1887.0
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
1886.1
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1882.4
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
1878.5
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
1872.3
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
1870.6
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1866.6
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
1849.1
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1816.9
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
1807.7
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
1800.6
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
1792.9
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
1756.6
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
1753.9
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
1746.2
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
1702.2
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
1699.2
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
1692.7
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
1674.0
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
1647.7
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
1615.2
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
1593.8
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
1555.7
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
1467.8
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
1437.0
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
1434.4
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
1421.3
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
1404.0
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
1377.1
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
1369.3
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
1340.4
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
1326.5
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
1321.6
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
1316.7
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
1311.9
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
1288.2
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
1266.3
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
1264.6
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
1261.8
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
1252.9
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
1239.4
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
1183.6
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
1180.4
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
1161.3
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
1144.6
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
1112.0
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
1096.3
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
1049.0
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
941.8
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 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.
FTH1 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1926.3
Number of samples
486
Samples
Sample
Description
TPM
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
5962.9
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
4688.3
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
4580.2
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
4491.3
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
4413.6
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
4341.7
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
4341.7
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
4322.1
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
4302.1
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
4223.0
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
4202.6
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
4149.5
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
4111.1
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
4110.0
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
4102.3
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
4102.1
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
4064.5
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
3998.0
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
3963.6
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
3908.6
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
3857.9
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
3856.5
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
3834.4
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
3788.0
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
3741.6
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
3727.2
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
3694.6
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
3668.0
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
3640.5
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
3640.3
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
3636.2
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
3629.6
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
3611.8
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
3509.1
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
3473.0
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
3390.8
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
3387.5
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
3359.0
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
3311.0
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
3305.5
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
3282.8
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
3269.2
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
3247.1
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
3218.3
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
3205.0
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
3200.9
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
3162.7
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
3130.6
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
3121.0
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
3102.6
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
3036.7
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
3018.5
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
3016.5
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
3007.8
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
3003.1
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
2986.1
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
2945.7
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
2927.1
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
2921.3
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
2910.6
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
2906.7
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
2899.6
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
2870.1
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
2868.5
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
2848.1
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
2842.5
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
2829.1
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
2822.2
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
2820.8
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
2816.0
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
2772.8
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
2769.4
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
2749.2
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
2741.9
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
2733.2
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
2732.5
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
2724.5
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
2712.6
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
2675.5
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
2658.0
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
2630.0
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
2622.7
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
2620.2
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
2615.1
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
2608.9
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
2599.6
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
2583.8
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
2572.6
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
2563.8
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
2560.8
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
2557.8
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
2557.8
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
2548.8
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
2546.1
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
2541.2
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
2516.9
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
2500.7
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
2499.9
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
2477.3
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
2472.5
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
2466.7
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
2466.5
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
2458.0
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
2453.2
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
2445.5
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
2423.1
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
2415.1
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
2406.3
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
2404.0
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
2402.1
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
2402.0
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
2400.0
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
2394.4
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
2366.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
2357.0
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
2356.7
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
2341.0
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
2337.7
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
2335.1
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
2331.1
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
2330.0
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
2328.6
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
2328.0
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
2326.3
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
2286.6
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
2284.6
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
2270.6
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
2268.4
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
2265.8
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
2265.7
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
2263.5
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
2262.7
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
2256.1
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
2254.3
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
2251.8
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
2246.2
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
2246.1
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
2232.5
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
2229.0
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
2207.8
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
2201.4
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
2201.0
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
2197.5
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
2194.6
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
2185.3
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
2182.7
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
2174.8
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
2167.1
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
2162.6
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
2155.1
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
2147.7
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
2143.3
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
2135.4
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
2134.9
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
2128.3
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
2118.5
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
2115.5
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
2107.6
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
2107.6
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
2102.8
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
2102.4
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
2098.4
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
2092.5
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
2092.2
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
2087.7
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
2082.5
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
2076.3
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
2075.2
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
2073.5
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
2071.3
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
2070.4
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
2069.1
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
2063.6
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
2063.2
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
2063.1
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
2058.3
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
2057.7
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
2057.5
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
2056.7
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
2053.5
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
2049.4
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
2047.1
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
2044.1
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
2043.4
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
2034.8
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
2024.0
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
2021.1
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
2020.9
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
2020.7
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
2018.5
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
2015.9
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
2009.9
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
2001.1
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
2001.0
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
1999.8
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
1998.7
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
1984.6
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
1975.3
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
1970.8
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
1965.9
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
1964.4
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
1963.8
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
1956.8
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
1950.7
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
1950.0
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
1946.4
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
1940.8
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
1940.6
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
1938.5
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
1937.3
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
1923.9
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
1921.3
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
1921.0
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
1920.9
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
1919.3
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
1917.8
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
1912.1
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
1907.2
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
1902.7
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
1890.0
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
1889.3
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
1878.2
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
1875.8
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
1871.4
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
1870.0
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
1869.4
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
1858.3
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
1858.1
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
1857.6
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
1850.3
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
1849.2
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
1845.8
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
1844.0
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
1835.3
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
1834.2
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
1829.6
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
1827.9
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
1824.9
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
1816.2
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
1815.6
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
1813.3
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
1813.0
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
1810.1
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
1803.2
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
1803.0
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
1800.9
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
1795.7
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
1794.6
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
1786.9
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
1766.2
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
1760.0
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
1754.7
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
1750.6
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
1748.3
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
1740.5
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
1735.6
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
1734.9
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
1732.3
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
1732.2
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
1728.8
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
1727.9
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
1722.8
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
1721.3
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
1721.0
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
1718.8
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
1712.8
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
1709.8
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
1707.9
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
1706.9
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
1690.5
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
1689.7
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
1686.9
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
1686.8
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
1684.2
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
1672.8
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
1672.7
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
1668.7
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
1664.5
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
1659.6
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
1656.5
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
1655.4
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
1655.2
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
1652.9
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
1647.3
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
1631.1
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
1629.1
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
1628.3
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
1625.1
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
1623.1
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
1616.5
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
1612.1
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
1608.9
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
1608.6
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
1607.3
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
1605.0
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
1600.7
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
1593.3
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
1592.6
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
1584.3
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
1583.4
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
1580.6
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
1571.8
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
1571.7
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
1568.5
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
1561.1
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
1560.3
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
1552.8
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
1546.7
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
1541.2
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
1538.7
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
1534.0
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
1528.3
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
1526.2
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
1517.0
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
1516.2
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
1511.7
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
1506.9
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
1483.2
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
1474.2
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
1471.8
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
1469.8
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
1467.2
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
1467.2
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
1459.1
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
1458.9
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
1457.4
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
1452.9
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
1452.1
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
1451.9
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
1450.3
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
1446.0
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
1443.9
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
1442.7
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
1439.7
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
1438.3
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
1434.8
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
1413.5
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
1411.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
1411.4
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
1405.4
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
1402.6
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
1397.0
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
1391.3
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
1386.3
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
1383.1
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
1377.1
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
1374.4
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
1372.4
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
1371.0
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
1370.6
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
1363.9
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
1363.4
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
1362.5
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
1349.7
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
1336.1
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
1329.3
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
1322.1
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
1321.5
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
1321.1
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
1319.1
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
1313.7
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
1310.0
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
1300.9
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
1291.6
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
1290.0
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
1289.3
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
1289.0
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
1287.6
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
1284.5
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
1282.9
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
1280.2
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
1278.7
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
1278.3
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
1278.1
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
1267.8
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
1265.1
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
1265.0
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
1263.1
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
1259.3
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
1251.4
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
1249.4
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
1249.0
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
1244.4
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
1239.9
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
1237.5
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
1231.9
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
1229.5
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
1219.3
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
1218.3
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
1212.3
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
1201.1
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
1196.6
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
1192.6
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
1188.2
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
1183.1
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
1167.9
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
1167.9
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
1167.2
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
1167.1
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
1160.2
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
1160.0
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
1157.2
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
1155.8
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
1151.3
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
1147.4
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
1146.2
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
1137.5
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
1137.1
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
1131.8
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
1129.9
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
1127.1
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
1125.3
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
1121.2
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
1120.6
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
1119.6
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
1118.9
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
1114.0
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
1111.1
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
1106.0
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
1102.5
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
1099.9
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
1095.8
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
1092.3
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
1089.5
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
1084.0
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
1082.4
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
1080.7
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
1070.6
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
1069.8
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
1043.6
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
1029.5
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
1025.4
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
1025.2
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
1009.3
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
1003.1
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
1002.6
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
998.2
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
984.8
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
970.5
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
965.5
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
962.0
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
961.8
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
953.6
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
950.7
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
947.3
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
941.7
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
940.0
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
935.8
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
927.2
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
924.6
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
910.5
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
906.8
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
896.3
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
894.3
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
890.5
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
890.4
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
884.3
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
878.1
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
877.1
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
856.6
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
846.4
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
831.9
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
791.4
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
772.3
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
771.3
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
760.1
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
750.0
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
736.7
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
720.8
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
719.0
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
699.5
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
652.2
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
648.3
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
624.3
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
620.0
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
609.4
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
604.4
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
545.8
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
512.1
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
492.6
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
457.8
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
446.4
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
377.5
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
241.3
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
104.4
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.
FTH1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
3033.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
7655.5
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
6354.6
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
5955.9
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
5697.9
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
5290.5
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
5230.3
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
5008.6
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
4870.8
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
4803.2
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
4494.6
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
4482.5
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
4324.1
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
4270.8
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
4111.2
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
4044.9
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
3900.8
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
3877.3
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
3850.2
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
3824.0
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
3821.2
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
3706.6
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
3704.2
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
3701.0
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
3683.8
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
3681.9
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
3595.3
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
3528.0
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
3490.6
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
3374.7
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
3294.4
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
3166.2
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
3166.2
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
3072.8
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
3051.5
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3029.8
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
3012.0
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3011.5
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
3010.5
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
3007.1
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
2995.6
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
2901.8
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
2864.5
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
2862.3
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
2853.4
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
2836.9
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
2726.5
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
2703.0
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
2687.2
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
2677.8
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
2653.4
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
2646.9
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2627.7
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
2626.7
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
2598.9
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
2589.9
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
2578.0
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
2540.0
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
2475.7
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
2458.2
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
2444.7
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
2424.2
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
2356.0
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
2352.2
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
2332.6
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
2237.7
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
2185.0
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
2172.4
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
2172.0
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
2089.8
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
2063.2
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
2053.3
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
2024.5
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
2001.0
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
1992.3
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
1945.3
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
1930.1
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
1912.2
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
1849.0
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
1727.7
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
1672.8
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
1558.9
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
1509.9
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
1393.6
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
1228.4
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
1226.2
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
1193.6
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
999.3
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 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.
FTH1 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1593.9
Number of samples
207
Samples
Sample
Description
TPM
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
10572.6
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
7786.4
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
4644.3
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
4058.1
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
3710.4
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
3441.7
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
3221.0
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
3107.8
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
3020.2
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
2911.6
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
2892.7
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
2885.1
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
2859.0
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
2786.5
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
2771.9
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
2737.4
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
2643.0
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
2610.9
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
2572.8
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
2565.9
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
2523.4
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
2510.2
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
2436.3
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
2387.2
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
2358.5
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
2336.0
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
2316.6
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
2301.6
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
2277.5
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
2277.1
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
2250.5
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
2244.4
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
2237.9
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
2190.7
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
2188.1
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
2171.3
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
2162.0
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
2161.5
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
2152.6
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
2147.6
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
2135.2
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
2127.5
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
2082.1
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
2066.0
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
2024.5
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
2020.9
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
2019.6
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
2014.9
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
2000.4
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
1982.6
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
1976.9
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
1965.4
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
1953.5
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
1948.2
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
1928.3
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
1898.8
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
1895.9
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
1893.2
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
1867.9
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
1864.1
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
1836.9
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
1824.1
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
1823.3
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
1792.4
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
1782.8
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
1778.4
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
1763.5
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
1750.7
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
1736.4
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
1731.0
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
1700.3
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
1690.1
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
1689.6
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
1672.1
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
1669.8
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
1623.9
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
1622.3
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
1621.2
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
1617.8
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
1612.9
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
1582.6
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
1582.2
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
1551.4
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
1542.4
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
1540.7
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
1538.6
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
1524.6
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
1521.7
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
1517.3
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
1511.7
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
1497.7
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
1496.4
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
1452.9
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
1445.5
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
1445.0
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
1441.2
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
1435.5
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
1423.3
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
1421.7
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
1419.9
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
1408.3
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
1387.4
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
1356.9
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
1356.0
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
1355.1
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
1351.9
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
1349.6
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
1349.2
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
1343.6
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
1338.1
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
1336.9
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
1336.2
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
1317.7
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
1316.9
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
1307.9
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
1297.9
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
1267.0
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
1245.6
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
1240.9
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
1237.7
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
1234.0
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
1229.8
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
1224.3
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
1206.5
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
1203.2
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
1198.9
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
1195.8
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
1194.4
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
1192.7
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
1187.1
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
1179.0
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
1177.6
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
1167.9
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
1165.8
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
1157.7
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
1154.2
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
1149.6
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
1141.1
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
1138.6
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
1129.1
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
1128.1
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
1112.0
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
1108.5
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
1107.6
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
1099.3
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
1088.6
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
1084.7
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
1057.6
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
1052.9
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
1050.0
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
1046.6
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
1039.6
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
1028.0
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
1025.6
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
1018.1
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
1010.4
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
1009.9
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
1004.9
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
1004.4
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
986.7
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
955.9
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
953.4
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
945.5
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
940.2
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
937.8
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
918.4
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
915.6
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
915.2
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
911.9
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
911.2
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
905.2
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
902.1
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
886.9
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
876.4
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
863.9
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
862.0
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
851.4
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
849.4
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
846.6
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
835.7
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
834.8
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
815.7
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
799.7
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
793.1
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
792.9
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
780.9
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
761.7
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
761.7
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
736.7
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
725.1
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
721.0
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
684.4
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
676.8
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
654.2
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
624.4
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
622.3
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
616.4
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
592.8
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
590.9
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
588.2
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
583.3
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
555.8
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
550.3
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
524.0
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
500.3
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
480.0
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
67.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
1.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
1.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
1.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
1.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
1.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.9
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.9
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.8
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.8
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.7
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.5
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.5
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.9
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.9
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.3
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.