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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.
RPS7 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
2355.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
7701.0
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
5729.9
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
5638.3
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
5055.4
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
4815.6
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
4722.1
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
4645.7
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
4638.5
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
4597.0
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
4257.9
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
4229.3
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
4187.2
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
4105.0
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
4101.0
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
3999.7
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
3994.4
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
3880.0
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
3868.7
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
3846.7
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
3687.4
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
3639.9
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
3607.5
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
3569.8
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
3533.6
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
3487.6
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
3468.9
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
3376.0
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
3358.1
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
3326.6
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
3326.4
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
3325.2
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
3325.1
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
3307.8
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
3300.1
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
3292.9
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
3240.7
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
3230.2
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
3205.2
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
3197.9
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
3183.3
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
3165.3
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
3158.6
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
3155.2
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3131.5
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
3116.1
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3071.5
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
3039.8
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
3039.3
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
3017.7
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
3011.1
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
2988.0
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
2948.4
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
2914.2
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
2892.4
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2880.6
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
2847.5
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2846.5
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2837.4
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
2825.7
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2811.7
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
2803.4
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
2778.9
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
2778.2
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
2755.4
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
2724.9
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
2716.2
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
2713.0
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
2712.9
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
2697.1
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
2684.7
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
2678.9
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
2668.0
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
2656.0
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
2645.9
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
2642.8
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
2631.1
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2611.1
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
2610.2
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
2590.8
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
2571.3
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
2556.4
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
2555.4
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
2541.5
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
2521.3
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
2516.4
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
2482.8
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
2469.4
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
2467.0
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
2463.6
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
2443.6
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
2438.6
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
2418.3
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
2417.6
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
2417.0
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
2413.0
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
2412.0
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
2407.9
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
2400.1
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
2395.4
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
2391.3
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
2378.3
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
2369.3
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
2352.9
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
2346.5
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
2343.5
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
2325.8
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
2316.6
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
2315.0
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
2310.5
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
2296.4
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
2291.1
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
2274.7
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
2262.7
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
2241.3
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
2239.5
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
2220.3
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
2205.3
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2196.5
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
2192.2
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
2190.7
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
2181.3
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
2179.6
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
2172.3
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
2170.2
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
2161.4
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2157.9
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
2152.6
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
2146.5
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
2138.6
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
2111.7
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
2107.5
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
2104.2
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
2101.0
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
2097.4
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
2077.4
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2077.1
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
2075.6
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
2071.8
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
2067.4
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
2055.7
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
2051.2
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
2049.4
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
2043.4
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
2030.4
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
2025.5
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
2023.6
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
2007.4
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1999.8
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
1980.6
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
1971.7
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
1966.5
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
1950.1
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
1946.0
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
1942.5
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
1942.2
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
1937.8
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
1934.7
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
1933.1
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
1931.3
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
1924.1
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
1916.6
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
1915.0
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
1909.2
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
1906.8
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1903.9
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
1898.4
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
1897.8
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
1887.7
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
1887.3
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1886.8
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
1883.5
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
1876.4
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
1876.3
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
1873.6
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
1866.6
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
1862.1
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
1861.9
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
1857.3
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
1855.2
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
1846.7
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
1832.8
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
1825.0
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
1823.9
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
1818.6
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
1779.2
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
1769.4
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
1768.3
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
1760.9
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
1754.5
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
1749.7
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
1746.8
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
1746.1
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
1737.8
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
1728.8
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
1713.4
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
1710.9
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
1693.7
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
1681.1
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
1659.7
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
1656.8
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
1652.0
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1646.5
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
1645.0
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
1643.5
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
1637.8
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
1636.6
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1631.4
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
1631.2
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1629.2
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
1618.7
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
1614.0
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
1609.6
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1586.2
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
1578.3
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
1568.6
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
1568.3
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1566.7
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
1537.5
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
1536.2
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
1535.0
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1533.4
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
1520.7
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
1518.3
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
1489.4
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
1483.7
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1481.5
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
1475.4
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1470.6
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
1464.6
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1461.8
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
1440.2
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
1439.0
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
1437.5
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
1420.5
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
1397.2
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
1390.9
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
1373.5
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
1371.6
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
1353.7
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
1331.1
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
1330.9
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1306.0
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
1305.1
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
1270.9
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
1246.6
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
1215.9
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
1199.3
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
1108.1
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1083.4
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
1062.9
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1012.3
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
961.8
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
838.4
TCGA-G4-6321-01A
60 years, female, white, stage:Stage III, alive, 672 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.
RPS7 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
811.3
Number of samples
486
Samples
Sample
Description
TPM
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
1954.9
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
1920.6
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
1884.0
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
1634.3
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
1498.8
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
1495.1
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
1484.4
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
1463.0
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
1460.2
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
1418.9
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
1412.0
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
1397.7
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
1393.9
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
1388.8
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
1376.0
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
1367.2
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
1346.1
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
1342.8
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
1334.1
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
1317.0
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
1312.6
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
1310.1
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
1307.5
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
1305.7
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
1275.0
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
1266.4
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
1264.7
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
1260.8
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
1258.1
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
1250.4
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
1243.7
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
1239.8
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
1233.1
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
1229.3
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
1228.9
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
1224.4
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
1224.0
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
1217.0
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
1214.2
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
1202.9
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
1202.7
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
1198.1
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
1195.7
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
1187.3
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
1184.4
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
1183.5
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
1182.4
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
1170.7
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
1168.2
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
1158.6
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
1154.7
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
1145.1
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
1141.9
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
1141.5
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
1129.5
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
1128.2
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
1126.8
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
1122.2
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
1121.7
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
1116.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
1113.9
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
1109.5
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
1105.3
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
1102.3
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
1096.1
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
1091.6
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
1090.3
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
1084.6
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
1078.6
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
1076.3
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
1073.5
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
1069.0
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
1063.5
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
1062.9
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
1061.6
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
1056.3
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
1054.9
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
1052.0
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
1051.6
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
1040.0
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
1035.1
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
1034.3
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
1029.2
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
1028.1
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
1024.9
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
1022.7
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
1021.8
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
1019.1
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
1018.6
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
1016.0
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
1014.6
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
1013.2
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
1013.2
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
1008.0
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
1003.9
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
1000.6
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
1000.2
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
1000.1
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
997.9
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
995.5
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
995.3
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
994.0
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
990.2
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
989.6
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
987.7
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
986.1
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
984.8
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
980.6
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
980.2
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
979.6
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
979.3
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
977.8
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
977.6
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
976.2
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
975.0
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
974.9
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
972.6
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
972.2
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
972.2
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
967.0
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
966.2
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
964.6
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
962.5
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
962.0
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
960.4
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
957.8
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
955.6
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
955.4
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
955.3
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
948.8
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
948.8
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
946.5
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
939.3
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
938.0
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
936.5
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
936.2
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
932.3
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
929.8
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
929.6
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
928.0
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
923.1
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
920.0
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
919.5
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
915.4
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
914.6
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
910.9
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
910.8
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
908.8
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
908.8
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
908.7
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
907.2
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
905.3
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
904.8
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
902.6
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
899.8
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
896.9
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
895.9
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
895.4
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
895.4
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
889.8
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
889.4
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
889.3
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
888.2
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
883.2
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
882.6
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
882.2
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
882.1
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
879.4
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
878.0
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
877.6
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
874.8
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
872.2
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
871.9
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
870.8
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
869.6
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
867.1
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
865.0
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
864.8
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
864.6
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
864.5
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
864.3
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
864.0
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
863.5
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
860.3
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
860.2
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
858.7
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
855.3
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
853.9
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
852.2
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
851.9
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
851.6
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
848.5
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
848.2
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
847.8
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
847.5
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
847.3
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
843.0
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
839.7
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
839.6
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
839.0
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
838.1
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
837.0
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
836.6
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
836.1
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
835.9
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
835.3
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
834.9
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
833.2
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
832.6
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
831.6
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
826.3
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
825.4
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
822.8
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
820.3
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
818.8
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
818.5
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
811.9
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
807.9
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
807.2
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
806.7
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
803.5
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
802.6
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
802.2
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
798.1
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
794.7
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
794.0
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
792.3
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
787.3
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
786.8
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
786.4
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
785.1
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
784.9
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
784.7
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
784.0
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
783.5
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
782.9
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
782.0
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
779.6
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
778.3
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
775.5
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
774.6
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
774.5
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
772.9
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
771.5
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
763.7
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
761.0
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
760.4
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
760.0
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
759.6
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
756.1
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
755.1
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
754.7
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
752.4
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
752.3
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
752.1
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
749.8
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
749.1
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
748.1
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
747.8
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
747.3
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
747.1
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
746.3
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
745.8
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
745.4
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
740.3
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
740.1
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
737.9
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
737.6
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
735.5
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
735.1
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
734.6
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
733.9
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
733.9
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
733.2
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
731.8
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
731.2
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
729.3
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
726.3
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
722.5
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
721.3
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
721.1
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
720.9
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
720.7
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
720.7
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
719.7
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
719.6
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
718.3
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
715.2
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
713.5
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
712.7
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
712.1
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
711.1
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
710.7
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
709.6
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
708.2
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
707.1
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
705.0
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
703.3
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
702.5
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
702.3
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
701.8
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
698.2
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
697.4
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
697.3
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
695.9
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
695.1
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
694.4
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
690.6
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
689.7
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
689.3
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
688.1
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
687.3
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
686.8
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
684.1
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
683.7
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
683.5
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
682.3
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
681.5
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
680.4
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
679.4
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
678.6
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
678.3
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
676.4
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
676.0
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
674.8
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
671.3
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
670.3
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
670.2
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
668.9
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
666.8
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
666.6
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
664.2
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
664.0
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
663.3
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
661.8
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
660.5
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
660.0
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
659.4
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
657.4
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
656.7
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
653.3
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
653.0
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
651.5
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
651.1
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
651.1
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
649.9
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
649.2
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
648.7
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
648.4
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
645.7
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
645.3
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
644.5
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
644.3
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
643.2
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
642.2
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
641.5
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
639.6
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
639.1
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
637.9
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
637.6
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
635.2
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
634.2
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
633.8
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
633.6
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
631.7
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
630.7
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
629.4
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
629.4
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
629.4
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
628.6
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
628.1
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
625.3
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
621.6
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
620.2
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
619.9
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
618.6
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
618.1
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
614.2
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
613.7
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
613.4
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
613.2
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
612.6
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
608.6
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
603.8
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
602.3
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
600.5
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
599.5
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
599.0
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
597.1
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
596.3
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
596.3
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
596.2
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
594.6
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
594.2
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
591.7
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
591.2
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
590.5
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
590.5
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
589.2
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
586.0
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
585.2
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
581.5
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
579.0
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
578.0
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
577.2
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
576.6
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
576.5
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
576.2
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
576.2
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
572.6
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
571.1
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
570.0
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
565.5
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
563.3
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
563.2
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
562.5
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
561.3
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
561.2
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
560.5
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
559.5
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
557.7
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
556.3
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
554.5
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
553.4
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
553.1
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
550.5
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
546.1
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
544.8
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
544.6
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
541.7
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
540.5
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
537.9
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
534.6
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
528.5
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
528.0
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
527.1
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
523.6
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
523.2
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
523.1
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
521.7
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
520.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
519.2
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
516.1
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
514.1
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
512.8
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
512.4
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
511.7
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
509.8
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
509.3
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
505.4
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
502.8
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
498.2
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
495.1
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
493.0
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
492.7
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
491.9
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
491.5
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
489.9
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
486.7
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
481.3
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
475.3
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
470.5
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
463.7
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
454.7
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
452.2
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
450.3
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
449.4
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
446.2
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
444.0
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
442.1
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
437.4
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
429.3
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
425.5
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
419.8
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
417.4
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
417.3
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
403.9
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
401.1
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
378.7
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
373.6
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
321.9
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 days
320.2
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
318.7
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
286.0
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
18.6
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.
RPS7 is potential prognostic, high expression is favorable 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
2502.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
6396.9
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
5410.6
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
5098.2
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
4533.0
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
4275.0
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
3708.0
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
3670.4
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
3624.3
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
3471.3
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
3270.9
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
3253.1
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
3215.6
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
3181.3
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
3169.8
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
3163.3
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
3138.9
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
3092.0
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
3074.2
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
3038.7
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
3034.1
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
3029.6
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
3003.9
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
2994.6
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
2983.6
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
2868.4
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
2667.0
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
2662.8
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
2655.3
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
2638.8
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
2636.3
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
2619.1
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
2603.8
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
2573.4
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
2531.3
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
2529.7
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
2519.5
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
2509.8
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
2490.2
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
2474.8
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
2453.2
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
2418.3
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
2409.1
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
2391.1
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
2381.9
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
2365.3
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
2365.2
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
2340.3
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
2318.0
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
2305.0
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
2285.8
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
2277.7
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
2264.5
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
2258.7
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2229.8
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
2196.1
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
2135.9
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
2121.4
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
2117.9
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
2093.5
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
2071.8
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
2066.4
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
2035.9
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2034.7
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
2032.2
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
2028.3
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
2019.3
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
2011.3
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
2006.4
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
1949.5
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
1941.8
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
1865.6
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
1826.8
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
1808.0
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
1736.5
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
1708.8
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
1696.9
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
1655.7
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
1631.9
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
1623.2
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
1528.1
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
1490.0
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
1484.8
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
1408.5
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
1346.5
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
1337.1
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
1009.5
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
1003.8
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS7 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
662.6
Number of samples
207
Samples
Sample
Description
TPM
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
2472.0
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
1793.8
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
1573.4
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
1399.5
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
1313.0
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
1209.9
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
1191.4
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
1180.3
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
1102.8
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
1081.6
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
1052.7
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
1034.6
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
988.1
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
976.6
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
954.2
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
951.6
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
939.5
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
932.1
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
931.7
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
931.2
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
926.3
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
923.2
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
911.7
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
910.0
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
884.3
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
869.3
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
859.3
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
851.3
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
847.9
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
845.8
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
830.3
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
830.0
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
829.8
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
829.3
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
829.1
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
827.6
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
817.0
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
815.0
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
812.3
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
812.3
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
808.6
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
804.3
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
800.9
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
797.3
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
789.2
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
785.1
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
781.6
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
775.7
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
772.0
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
769.6
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
769.5
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
768.8
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
768.0
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
750.3
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
749.3
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
748.7
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
745.1
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
743.5
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
742.8
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
739.6
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
736.6
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
735.1
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
732.0
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
728.6
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
721.5
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
720.8
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
717.9
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
717.7
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
717.7
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
715.9
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
714.9
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
711.7
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
709.1
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
705.2
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
703.1
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
702.8
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
702.4
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
701.9
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
694.8
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
687.8
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
682.5
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
682.3
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
680.6
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
678.4
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
674.4
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
671.1
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
670.4
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
669.8
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
668.7
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
667.0
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
666.1
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
658.6
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
657.8
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
655.4
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
655.2
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
653.5
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
651.4
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
649.9
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
646.6
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
644.8
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
639.1
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
638.8
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
638.7
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
638.7
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
636.8
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
636.2
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
634.4
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
632.3
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
625.8
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
624.9
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
624.2
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
617.6
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
615.2
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
612.9
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
608.6
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
608.5
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
604.2
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
594.1
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
594.0
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
593.3
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
592.5
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
592.0
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
588.1
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
586.6
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
584.9
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
584.5
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
577.6
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
577.0
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
575.3
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
572.0
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
570.1
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
569.7
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
568.0
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
567.8
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
564.1
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
563.1
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
561.3
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
553.8
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
553.6
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
549.6
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
545.6
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
544.9
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
530.6
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
522.5
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
521.8
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
519.4
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
519.3
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
513.2
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
509.2
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
506.3
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
505.8
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
505.4
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
503.2
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
502.5
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
501.6
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
495.2
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
494.9
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
494.6
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
494.3
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
494.1
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
492.5
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
491.6
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
484.1
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
479.7
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
476.2
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
474.7
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
474.7
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
470.8
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
469.3
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
454.1
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
454.1
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
452.5
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
448.2
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
443.9
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
443.8
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
443.3
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
441.2
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
432.7
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
430.9
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
425.6
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
425.3
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
424.0
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
422.9
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
421.6
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
414.6
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
410.5
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
410.3
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
407.6
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
401.3
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
396.2
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
391.9
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
391.0
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
389.0
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
387.7
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
373.9
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
373.6
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
366.7
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
362.2
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
353.2
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
353.1
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
335.7
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
331.0
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
323.4
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
321.3
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
311.0
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
295.9
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
43.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.4
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.6
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
