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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.
RPL24 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2319.8
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
5281.5
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
4626.0
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
4623.4
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
4002.2
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
3957.8
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
3845.2
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
3828.3
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
3784.2
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
3714.6
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
3700.9
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
3618.9
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
3587.9
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
3583.4
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
3578.4
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
3470.5
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
3458.8
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
3411.0
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
3403.8
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
3384.5
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
3334.3
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
3330.4
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
3318.8
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
3289.1
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
3249.9
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
3245.1
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
3244.8
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
3154.6
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
3153.3
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
3124.6
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
3095.1
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3043.5
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
3035.4
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
3022.9
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
2987.9
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
2983.7
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
2969.8
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
2969.1
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
2953.0
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
2952.4
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
2938.1
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
2922.9
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
2915.7
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
2914.6
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
2896.3
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
2876.9
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
2844.8
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
2837.8
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
2834.0
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
2823.4
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2798.6
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
2787.1
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
2783.6
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
2741.6
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
2712.7
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
2711.8
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
2709.7
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
2676.6
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
2672.1
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
2670.4
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
2657.7
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
2654.8
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
2653.2
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
2640.7
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
2635.0
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
2632.2
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
2626.2
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
2625.8
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2625.8
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
2620.4
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
2618.5
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
2617.4
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
2614.1
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
2611.5
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
2607.5
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
2606.1
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
2598.2
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
2588.9
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
2585.8
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
2582.2
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
2574.6
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
2567.3
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
2559.2
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
2557.4
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
2547.3
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
2542.1
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
2523.1
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2505.5
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
2497.2
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
2489.7
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
2486.4
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
2485.0
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
2476.6
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
2473.0
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
2468.3
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
2465.0
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
2460.5
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
2454.4
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
2446.7
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
2440.2
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
2435.5
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
2424.8
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
2398.6
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
2390.4
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
2384.7
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
2380.4
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
2379.2
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
2366.6
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
2365.0
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
2340.7
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
2329.3
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
2325.5
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2318.7
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
2313.9
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
2311.7
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
2300.8
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
2296.7
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
2289.1
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
2266.3
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
2265.4
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
2264.0
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
2250.1
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2227.0
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
2211.4
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
2205.9
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
2203.5
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
2200.8
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
2199.2
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
2196.3
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
2193.4
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
2192.8
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
2192.3
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
2191.2
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
2191.0
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
2189.0
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
2185.9
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
2185.0
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
2184.2
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
2183.6
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
2182.8
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
2170.6
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
2169.7
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
2165.4
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
2164.3
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
2156.9
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2151.1
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
2147.2
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
2146.1
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
2144.0
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
2142.4
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
2128.3
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
2128.1
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
2121.8
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
2118.6
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
2111.0
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
2103.6
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
2089.2
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
2059.9
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
2053.1
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
2044.3
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
2044.1
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
2032.9
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
2028.5
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
2023.5
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2023.1
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
2011.1
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2010.6
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
2004.1
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
1983.7
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
1976.4
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
1975.7
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
1974.3
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
1970.5
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
1967.5
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1964.9
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1958.0
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
1953.1
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
1953.0
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
1950.0
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
1925.5
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
1924.9
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
1923.4
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
1899.9
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
1892.7
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
1889.4
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
1882.4
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1876.4
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
1875.7
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
1868.9
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
1868.1
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1866.5
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
1866.2
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1858.2
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1849.6
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
1839.3
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
1837.5
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
1829.4
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
1827.6
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
1824.8
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1823.4
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
1813.2
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
1799.7
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
1797.1
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
1796.9
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
1792.1
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
1790.9
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
1788.4
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1774.8
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
1762.7
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1752.0
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
1746.5
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
1723.9
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
1718.0
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
1711.6
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
1693.3
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
1682.4
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
1665.1
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
1663.3
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
1651.9
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
1642.5
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
1640.7
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
1639.3
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
1627.7
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1618.3
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
1618.0
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
1614.6
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
1613.6
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
1613.3
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
1577.5
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
1574.7
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
1572.5
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
1568.9
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
1568.4
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
1568.2
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
1565.3
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
1562.8
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
1516.7
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
1508.6
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
1493.9
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
1442.7
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
1437.2
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1404.0
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
1331.8
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
1292.6
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
1291.7
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1290.0
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1283.1
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
1279.3
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
1254.8
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1254.0
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
1246.8
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
1216.0
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1136.6
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1008.3
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.
RPL24 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
832.1
Number of samples
486
Samples
Sample
Description
pTPM
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
1891.6
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
1804.4
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
1803.8
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
1642.3
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
1537.9
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
1525.4
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
1510.5
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
1501.4
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
1500.8
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
1445.9
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
1431.6
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
1429.4
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
1416.6
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
1402.0
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
1376.0
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
1347.3
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
1329.3
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
1322.8
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
1285.9
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
1277.1
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
1271.9
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
1266.3
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
1266.1
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
1259.7
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
1235.3
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
1230.9
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
1211.2
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
1200.0
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
1189.0
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
1183.8
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
1182.8
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
1178.2
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
1175.4
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
1168.0
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
1157.8
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
1150.4
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
1149.0
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
1145.8
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
1144.8
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
1134.0
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
1133.5
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
1132.5
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
1129.1
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
1124.9
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
1123.1
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
1118.9
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
1118.6
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
1117.4
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
1117.3
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
1117.2
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
1116.8
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
1106.4
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
1106.1
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
1103.9
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
1100.4
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
1099.1
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
1097.9
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
1096.8
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
1093.4
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1092.3
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
1091.8
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
1091.3
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
1087.4
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
1086.4
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
1085.1
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
1076.4
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
1071.0
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
1069.6
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
1068.9
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
1063.3
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
1059.7
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
1057.7
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
1057.4
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
1052.3
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
1049.4
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
1048.4
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
1041.7
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
1035.9
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
1034.6
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
1033.1
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
1032.9
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
1031.2
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
1026.9
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
1025.7
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
1025.3
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
1023.1
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
1022.8
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
1022.3
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
1010.3
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
1010.1
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
1009.9
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
1009.7
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
1009.2
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
1006.7
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
1006.6
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
1005.9
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
1004.0
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
1000.8
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
999.0
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
998.3
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
992.3
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
990.9
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
988.3
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
986.1
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
985.6
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
983.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
980.9
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
980.4
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
977.7
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
977.0
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
976.5
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
974.2
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
973.6
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
973.5
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
971.1
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
968.7
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
967.5
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
966.8
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
966.8
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
965.8
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
965.6
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
965.0
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
964.8
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
964.3
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
962.6
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
961.5
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
961.0
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
960.9
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
957.3
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
952.7
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
952.3
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
948.0
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
946.4
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
945.9
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
945.3
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
941.7
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
940.3
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
938.7
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
936.2
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
935.6
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
933.8
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
931.9
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
930.6
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
928.8
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
927.8
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
927.6
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
927.0
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
926.7
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
925.9
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
922.4
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
922.1
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
922.0
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
921.6
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
921.0
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
920.4
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
919.3
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
915.2
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
913.1
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
910.5
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
908.6
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
901.0
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
900.8
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
900.8
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
900.2
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
899.5
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
899.4
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
899.3
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
897.9
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
897.1
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
895.2
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
895.2
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
894.7
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
893.3
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
892.4
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
892.2
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
889.9
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
889.9
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
887.2
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
884.5
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
882.7
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
882.5
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
878.8
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
873.5
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
873.1
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
871.5
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
871.1
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
870.4
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
868.5
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
866.4
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
866.1
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
865.6
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
865.2
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
864.2
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
864.0
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
862.8
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
861.0
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
856.1
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
855.9
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
853.1
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
850.9
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
849.8
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
849.3
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
847.6
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
846.8
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
846.5
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
845.6
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
844.8
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
844.6
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
843.4
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
839.1
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
839.0
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
838.9
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
838.0
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
837.9
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
836.9
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
836.9
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
835.7
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
833.9
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
832.0
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
831.4
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
831.0
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
830.1
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
829.5
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
828.5
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
828.4
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
827.9
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
827.6
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
827.3
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
825.0
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
823.6
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
820.6
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
817.5
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
817.4
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
817.3
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
814.7
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
812.7
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
811.0
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
810.4
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
807.4
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
806.9
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
805.1
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
802.3
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
799.8
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
799.5
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
798.9
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
798.8
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
798.4
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
797.7
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
793.5
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
792.7
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
791.5
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
791.4
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
791.3
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
790.9
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
788.8
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
787.9
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
786.3
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
785.6
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
784.8
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
784.8
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
784.0
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
781.5
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
780.8
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
778.7
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
777.7
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
777.0
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
776.2
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
774.1
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
773.5
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
772.9
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
769.9
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
769.2
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
769.2
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
767.1
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
767.1
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
767.0
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
766.4
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
766.0
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
765.8
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
764.4
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
764.0
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
763.1
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
762.3
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
760.4
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
760.4
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
760.0
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
758.8
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
756.9
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
753.2
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
752.7
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
752.7
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
752.2
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
750.6
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
750.5
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
749.4
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
747.7
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
747.1
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
745.6
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
743.3
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
742.4
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
740.2
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
739.2
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
737.8
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
736.8
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
735.0
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
734.8
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
734.3
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
731.8
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
730.8
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
729.7
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
728.1
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
727.3
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
725.9
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
725.7
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
724.5
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
724.0
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
723.5
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
723.1
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
720.6
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
718.0
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
716.2
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
715.9
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
715.2
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
713.4
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
712.1
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
711.6
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
711.6
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
709.8
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
708.8
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
705.7
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
702.6
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
700.9
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
700.7
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
697.4
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
697.0
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
696.7
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
695.4
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
694.1
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
693.4
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
689.9
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
689.9
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
689.6
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
687.5
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
687.0
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
687.0
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
686.3
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
685.1
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
683.4
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
683.1
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
683.0
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
681.9
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
681.6
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
681.0
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
679.7
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
678.1
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
677.6
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
677.0
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
673.3
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
673.0
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
671.7
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
670.9
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
670.3
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
668.3
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
666.9
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
666.6
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
666.6
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
665.4
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
665.1
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
664.9
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
663.0
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
661.9
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
661.4
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
659.1
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
658.6
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
657.0
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
654.2
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
652.8
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
651.3
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
649.6
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
648.4
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
648.3
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
648.1
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
646.9
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
643.9
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
643.6
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
642.4
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
638.3
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
637.6
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
632.8
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
632.8
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
632.0
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
631.8
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
631.3
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
628.1
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
627.1
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
626.6
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
626.4
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
625.0
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
624.8
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
624.5
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
624.2
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
621.6
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
621.3
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
618.1
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
616.8
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
616.6
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
616.5
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
614.7
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
614.3
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
613.0
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
612.3
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
611.6
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
604.9
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
602.0
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
600.9
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
598.5
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
597.6
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
594.6
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
594.3
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
594.1
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
593.4
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
592.7
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
590.4
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
589.0
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
585.7
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
584.2
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
581.5
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
579.7
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
578.1
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
578.0
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
577.8
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
577.0
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
575.2
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
574.3
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
574.2
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
573.1
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
572.7
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
570.8
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
568.4
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
567.4
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
566.6
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
566.5
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
566.3
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
566.3
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
565.9
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
560.4
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
560.1
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
559.6
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
556.0
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
554.5
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
553.3
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
552.3
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
551.4
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
548.3
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
546.6
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
544.1
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
540.7
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
535.8
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
532.3
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
527.0
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
526.6
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
524.7
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
523.4
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
516.8
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
510.1
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
504.0
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
485.4
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
479.1
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
476.7
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
469.1
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
468.4
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
467.5
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
467.0
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
462.6
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
462.1
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
461.9
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
452.1
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
448.7
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
444.7
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
438.2
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
434.2
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
433.4
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
417.2
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
396.4
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
390.5
U0248
72 years, male, NA, stage:T3N0M0, alive, 1870 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.
RPL24 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
2500.3
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
5617.0
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
4979.7
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
4731.2
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
4316.5
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
4108.5
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
3974.6
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
3905.9
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
3809.2
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
3666.5
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
3569.1
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
3508.3
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
3487.9
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
3381.1
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
3304.5
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
3186.4
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
3154.3
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
3046.3
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
2948.2
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
2855.0
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
2851.0
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
2850.1
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
2838.0
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
2823.1
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
2709.1
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
2686.4
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
2684.6
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
2657.5
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
2656.2
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
2654.9
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
2649.9
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
2625.7
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
2623.6
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
2612.0
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
2604.8
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
2590.6
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
2480.5
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
2478.7
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
2459.0
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
2443.9
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
2418.7
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
2402.7
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
2383.6
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
2378.2
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
2370.1
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
2368.9
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
2367.0
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
2287.8
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
2266.6
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
2262.4
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
2255.4
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
2240.9
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2238.0
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
2238.0
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
2217.7
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
2209.3
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
2203.1
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
2181.1
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
2164.4
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
2141.7
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
2117.8
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
2105.2
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
2092.3
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
2075.8
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
2052.7
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
2030.8
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
2023.3
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
1912.4
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
1907.3
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
1870.6
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 days
1819.8
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
1791.7
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
1791.7
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
1783.9
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
1742.2
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
1693.5
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
1669.5
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
1668.0
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
1576.1
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
1545.1
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
1531.4
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1531.2
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
1527.6
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
1491.7
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
1454.6
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
1424.5
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
1338.6
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 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.
RPL24 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average pTPM
717.1
Number of samples
207
Samples
Sample
Description
pTPM
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
2147.7
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
1287.5
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
1270.7
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
1209.1
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
1192.4
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
1188.7
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
1181.7
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
1131.3
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
1116.3
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
1106.0
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
1101.3
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
1096.0
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
1080.0
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
1071.3
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
1068.2
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
1006.7
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
998.3
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
993.6
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
984.5
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
984.2
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
960.2
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
943.5
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
942.3
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
935.4
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
918.8
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
917.3
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
916.9
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
914.8
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
912.4
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
911.6
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
904.3
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
903.0
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
899.8
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
896.7
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
896.4
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
895.8
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
892.0
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
881.2
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
869.9
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
861.0
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
857.4
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
845.0
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
842.2
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
834.3
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
828.4
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
826.2
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
825.9
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
823.8
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
820.3
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
814.9
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
812.4
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
812.3
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
811.6
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
810.3
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
809.0
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
808.8
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
797.4
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
795.4
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
784.3
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
778.7
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
777.1
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
776.8
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
775.9
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
773.9
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
773.2
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
771.2
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
770.3
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
769.6
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
763.0
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
762.6
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
760.9
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
759.7
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
754.5
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
753.9
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
752.5
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
746.3
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
742.6
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
741.1
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
740.5
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
737.5
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
733.5
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
731.5
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
731.1
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
729.1
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
728.3
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
726.6
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
726.5
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
724.2
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
722.5
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
720.0
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
717.6
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
714.7
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
714.5
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
713.1
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
711.9
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
708.2
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
708.1
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
708.0
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
705.0
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
703.7
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
701.9
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
699.7
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
699.7
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
694.1
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
689.3
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
688.7
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
687.0
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
685.0
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
681.7
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
680.7
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
680.2
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
679.7
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
679.3
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
678.4
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
676.6
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
676.5
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
675.4
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
670.2
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
664.5
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
659.7
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
656.4
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
656.2
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
655.9
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
652.4
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
651.7
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
649.4
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
647.4
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
646.9
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
644.7
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
644.3
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
643.4
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
642.4
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
640.5
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
638.1
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
633.6
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
630.6
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
629.4
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
629.3
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
628.9
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
625.4
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
625.3
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
623.8
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
621.3
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
620.0
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
616.8
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
612.4
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
611.9
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
609.1
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
605.0
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
604.1
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
601.7
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
601.5
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
592.8
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
591.5
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
585.9
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
584.7
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
577.5
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
577.1
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
572.0
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
570.5
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
569.7
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
567.2
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
565.0
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
563.7
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
560.0
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
555.8
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
553.9
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
551.5
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
550.5
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
549.4
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
547.4
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
536.0
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
534.3
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
531.4
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
531.3
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
523.1
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
520.2
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
519.4
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
518.4
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
517.6
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
515.6
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
509.9
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
507.4
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
505.4
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
500.9
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
499.1
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
490.3
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
482.9
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
482.6
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
481.6
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
478.2
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
471.9
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
471.0
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
470.4
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
463.3
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
447.0
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
428.6
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
422.8
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
419.7
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
411.2
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
410.9
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
406.4
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
404.7
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
372.0
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
370.1
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
329.3
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
20.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
1.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
1.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.9
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.9
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.8
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.8
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.8
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.7
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.7
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.7
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.6
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.6
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.3
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.7
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.7
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.7
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.7
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.7
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.8
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.8
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.9
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.9
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.9
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.9
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-1.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-1.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-1.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-1.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-1.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-1.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-1.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-1.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-1.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-1.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-1.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-1.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-1.2
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-1.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-1.7
b2400046-1d25-429d-a821-6040a6
Tumor
-1.7
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
