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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.
RPL36 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
2326.0
Number of samples
254
Samples
Sample
Description
pTPM
TCGA-AA-3662-01A
80 years, female, stage:Stage IV, alive, 184 days
8249.9
TCGA-A6-2686-01A
81 years, female, white, stage:Stage IIA, dead, 1126 days
4938.6
TCGA-D5-6932-01A
69 years, male, white, stage:Stage IIA, alive, 346 days
4808.2
TCGA-CM-5862-01A
80 years, male, white, stage:Stage IVA, dead, 153 days
4733.7
TCGA-AA-3685-01A
69 years, male, stage:Stage II, alive, 1127 days
4663.7
TCGA-5M-AAT4-01A
74 years, male, black or african american, stage:Stage IV, dead, 49 days
4519.2
TCGA-AA-3675-01A
84 years, male, stage:Stage II, alive, 1431 days
4503.1
TCGA-G4-6320-01A
73 years, male, white, stage:Stage III, alive, 804 days
4067.6
TCGA-D5-6538-01A
79 years, female, white, stage:Stage IIIB, alive, 521 days
3999.5
TCGA-AZ-5407-01A
51 years, female, white, stage:Stage I, alive, 2683 days
3969.7
TCGA-G4-6304-01A
66 years, female, white, stage:Stage IIB, alive, 1631 days
3959.2
TCGA-G4-6317-01A
51 years, female, white, stage:Stage IIIC, alive, 1095 days
3909.5
TCGA-A6-5666-01A
78 years, male, white, stage:Stage IIC, alive, 995 days
3832.3
TCGA-AD-A5EK-01A
51 years, male, black or african american, stage:Stage I, alive, 500 days
3825.4
TCGA-CM-4744-01A
69 years, male, white, stage:Stage I, alive, 609 days
3710.5
TCGA-CM-6166-01A
48 years, female, white, stage:Stage I, alive, 669 days
3658.4
TCGA-AA-3663-01A
42 years, male, stage:Stage II, alive, 212 days
3640.7
TCGA-CM-6678-01A
63 years, female, white, stage:Stage IVA, alive, 335 days
3610.9
TCGA-DM-A1D8-01A
50 years, female, white, stage:'--, dead, 383 days
3568.4
TCGA-CA-6716-01A
65 years, male, asian, stage:Stage IIA, alive, 371 days
3538.6
TCGA-F4-6704-01A
60 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3529.0
TCGA-CM-5864-01A
60 years, male, white, stage:Stage I, alive, 457 days
3524.6
TCGA-D5-6530-01A
53 years, male, white, stage:Stage I, alive, 621 days
3496.2
TCGA-AZ-6599-01A
72 years, male, white, stage:Stage I, dead, 206 days
3428.2
TCGA-CM-5860-01A
44 years, male, white, stage:Stage IIA, alive, 974 days
3397.2
TCGA-D5-5539-01A
60 years, male, white, stage:Stage IIIA, alive, 596 days
3376.1
TCGA-CM-6679-01A
58 years, male, white, stage:Stage IIA, alive, 306 days
3217.1
TCGA-CK-5914-01A
81 years, male, white, stage:Stage IIIB, alive, 669 days
3205.4
TCGA-CA-6719-01A
77 years, male, asian, stage:Stage IIA, alive, 435 days
3185.7
TCGA-DM-A1DA-01A
71 years, female, white, stage:Stage IIIC, dead, 228 days
3164.6
TCGA-F4-6855-01A
70 years, female, white, stage:Stage IIA, alive, 1442 days
3108.7
TCGA-G4-6628-01A
78 years, male, white, stage:Stage I, alive, 2424 days
3079.8
TCGA-DM-A288-01A
68 years, male, white, stage:Stage IIIC, dead, 427 days
3051.2
TCGA-NH-A6GA-01A
58 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3027.2
TCGA-G4-6299-01A
69 years, male, white, stage:Stage IIIC, alive, 2268 days
3001.4
TCGA-DM-A1D6-01A
88 years, male, white, stage:Stage IIA, dead, 570 days
2997.4
TCGA-DM-A28M-01A
63 years, male, white, stage:Stage IIA, alive, 2895 days
2996.5
TCGA-DM-A28E-01A
72 years, female, white, stage:Stage IIA, alive, 3648 days
2985.9
TCGA-A6-A56B-01A
57 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2957.8
TCGA-G4-6310-01A
69 years, male, white, stage:Stage IIIB, alive, 1935 days
2950.5
TCGA-NH-A8F7-01A
53 years, female, black or african american, stage:Stage IIA, alive, 543 days
2941.8
TCGA-DM-A28A-01A
78 years, male, white, stage:Stage IIIC, dead, 805 days
2937.1
TCGA-AZ-4616-01A
82 years, female, white, stage:Stage IV, dead, 156 days
2925.6
TCGA-F4-6854-01A
77 years, female, white, stage:Stage IIA, alive, 16 days
2921.2
TCGA-AD-6889-01A
76 years, male, asian, stage:Stage IIA, dead, 2532 days
2896.4
TCGA-5M-AATE-01A
76 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2876.1
TCGA-A6-5657-01A
65 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2870.9
TCGA-CM-6680-01A
78 years, female, white, stage:Stage IIIB, alive, 366 days
2852.8
TCGA-G4-6315-01A
66 years, male, white, stage:Stage IV, alive, 1883 days
2843.6
TCGA-QL-A97D-01A
84 years, female, black or african american, stage:Stage I, alive, 666 days
2827.4
TCGA-CK-6751-01A
88 years, female, white, stage:Stage I, alive, 518 days
2824.7
TCGA-D5-6531-01A
75 years, male, white, stage:Stage IIA, alive, 540 days
2815.7
TCGA-AD-6888-01A
73 years, male, white, stage:Stage IIIB, dead, 472 days
2799.7
TCGA-NH-A8F8-01A
79 years, male, black or african american, stage:Stage IV, dead, 511 days
2798.6
TCGA-AA-3526-01A
57 years, male, stage:Stage I, alive, 580 days
2795.5
TCGA-AY-A71X-01A
54 years, female, black or african american, stage:Stage I, alive, 588 days
2785.5
TCGA-NH-A50U-01A
42 years, male, black or african american, stage:Stage IVA, dead, 334 days
2781.6
TCGA-AD-6890-01A
65 years, male, white, stage:'--, alive, 746 days
2770.9
TCGA-DM-A28C-01A
74 years, male, white, stage:Stage IIA, dead, 2475 days
2757.6
TCGA-AM-5820-01A
59 years, female, white, stage:Stage IVA, alive, 14 days
2745.4
TCGA-QG-A5YV-01A
64 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2735.5
TCGA-CM-6677-01A
75 years, female, white, stage:Stage IIA, alive, 337 days
2710.3
TCGA-AZ-6600-01A
64 years, male, black or african american, stage:Stage IV, dead, 368 days
2697.3
TCGA-CM-5349-01A
68 years, female, white, stage:Stage IIA, alive, 915 days
2695.6
TCGA-NH-A50T-01A
68 years, female, black or african american, stage:Stage IIA, alive, 553 days
2684.5
TCGA-A6-5659-01A
82 years, male, white, stage:Stage I, alive, 926 days
2649.3
TCGA-CA-5255-01A
45 years, male, asian, stage:Stage IIA, alive, 376 days
2641.2
TCGA-A6-4105-01A
79 years, male, white, stage:Stage IIA, dead, 442 days
2635.4
TCGA-A6-5660-01A
73 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2612.3
TCGA-F4-6809-01A
52 years, female, white, stage:Stage IVA, dead, 403 days
2607.8
TCGA-AD-6964-01A
58 years, male, white, stage:'--, dead, 331 days
2590.1
TCGA-3L-AA1B-01A
61 years, female, black or african american, stage:Stage I, alive, 475 days
2586.7
TCGA-DM-A28F-01A
73 years, male, white, stage:Stage IIIB, dead, 1094 days
2577.8
TCGA-CM-5868-01A
59 years, female, white, stage:Stage IVA, alive, 518 days
2575.8
TCGA-AA-3496-01A
83 years, female, stage:Stage II, alive, 31 days
2571.0
TCGA-DM-A28K-01A
75 years, male, white, stage:Stage IIA, alive, 2988 days
2561.8
TCGA-CM-6164-01A
46 years, female, white, stage:Stage IIA, alive, 883 days
2551.4
TCGA-RU-A8FL-01A
51 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2546.8
TCGA-D5-6927-01A
34 years, male, white, stage:Stage IIA, alive, 287 days
2546.1
TCGA-DM-A1D7-01A
82 years, male, white, stage:Stage IIA, dead, 405 days
2543.7
TCGA-AA-A02Y-01A
73 years, male, stage:Stage I, alive, 1216 days
2540.0
TCGA-CM-4743-01A
69 years, male, white, stage:Stage IIA, alive, 701 days
2528.9
TCGA-4N-A93T-01A
67 years, male, black or african american, stage:Stage IIIB, alive, 146 days
2527.6
TCGA-CM-6676-01A
82 years, male, white, stage:Stage I, alive, 337 days
2516.9
TCGA-G4-6588-01A
58 years, female, white, stage:Stage IIA, alive, 796 days
2513.4
TCGA-D5-6532-01A
61 years, male, white, stage:Stage IIA, alive, 555 days
2507.4
TCGA-AZ-6608-01A
55 years, female, white, stage:Stage IIIA, dead, 59 days
2507.3
TCGA-G4-6303-01A
54 years, female, white, stage:Stage IV, dead, 2003 days
2503.7
TCGA-AA-A02K-01A
50 years, male, stage:Stage IV, dead, 426 days
2503.1
TCGA-QG-A5YW-01A
55 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2502.6
TCGA-DM-A1HB-01A
75 years, male, white, stage:Stage IIIB, alive, 4126 days
2476.0
TCGA-4T-AA8H-01A
42 years, female, black or african american, stage:Stage IIA, alive, 385 days
2467.1
TCGA-G4-6626-01A
90 years, male, white, stage:Stage IIA, dead, 1 days
2466.7
TCGA-AZ-6606-01A
81 years, male, white, stage:Stage IV, dead, 357 days
2464.5
TCGA-A6-3810-01A
62 years, male, white, stage:Stage IIA, alive, 1111 days
2461.8
TCGA-NH-A6GC-01A
66 years, female, black or african american, stage:Stage IVB, alive, 389 days
2460.9
TCGA-AA-3660-01A
51 years, female, stage:Stage II, alive, 2375 days
2460.3
TCGA-AA-3697-01A
77 years, male, stage:Stage II, alive, 2587 days
2430.9
TCGA-CM-5863-01A
60 years, female, white, stage:Stage IIIB, alive, 457 days
2430.6
TCGA-G4-6307-01A
37 years, female, white, stage:Stage IIIB, alive, 1674 days
2416.4
TCGA-DM-A0XD-01A
65 years, male, white, stage:Stage IIA, dead, 743 days
2409.3
TCGA-AD-5900-01A
67 years, male, white, stage:Stage I, alive, 370 days
2409.1
TCGA-A6-6652-01A
59 years, male, black or african american, stage:Stage IVA, alive, 751 days
2403.9
TCGA-CA-6715-01A
63 years, male, asian, stage:Stage IIIB, alive, 383 days
2374.4
TCGA-G4-6311-01A
80 years, male, white, stage:Stage III, alive, 1199 days
2359.4
TCGA-A6-5667-01A
40 years, female, white, stage:Stage IIIB, alive, 887 days
2349.1
TCGA-CM-6674-01A
39 years, male, white, stage:Stage IIA, alive, 394 days
2338.6
TCGA-CM-6161-01A
36 years, female, white, stage:Stage I, alive, 457 days
2324.4
TCGA-DM-A1D4-01A
80 years, male, white, stage:Stage IIA, dead, 2821 days
2316.5
TCGA-D5-6930-01A
67 years, male, white, stage:Stage IIA, alive, 406 days
2314.1
TCGA-5M-AAT6-01A
40 years, female, black or african american, stage:Stage IV, dead, 290 days
2305.6
TCGA-A6-6651-01A
55 years, female, white, stage:Stage IIIB, alive, 662 days
2301.0
TCGA-A6-5662-01A
46 years, male, white, stage:Stage IVA, alive, 718 days
2290.9
TCGA-AD-6899-01A
84 years, male, white, stage:Stage IIIC, dead, 176 days
2290.2
TCGA-D5-6929-01A
49 years, female, white, stage:Stage IV, alive, 408 days
2277.8
TCGA-AD-6963-01A
58 years, male, white, stage:'--, alive, 834 days
2266.3
TCGA-AZ-6603-01A
77 years, female, white, stage:'--, dead, 899 days
2265.1
TCGA-CK-6748-01A
45 years, female, white, stage:Stage IV, alive, 61 days
2260.9
TCGA-F4-6460-01A
51 years, female, white, stage:Stage IIIB, dead, 972 days
2254.0
TCGA-AZ-5403-01A
43 years, male, white, stage:Stage II, dead, 1910 days
2238.9
TCGA-CA-6717-01A
57 years, male, asian, stage:Stage IIA, alive, 388 days
2234.1
TCGA-G4-6306-01A
71 years, male, white, stage:'--, alive, 1359 days
2226.1
TCGA-CM-6163-01A
74 years, male, white, stage:Stage I, alive, 427 days
2216.7
TCGA-T9-A92H-01A
82 years, male, black or african american, stage:Stage IIA, alive, 362 days
2206.2
TCGA-DM-A1D0-01A
79 years, female, white, stage:Stage IIA, alive, 3974 days
2203.5
TCGA-AD-6548-01A
81 years, female, white, stage:Stage I, alive, 650 days
2197.1
TCGA-CM-5861-01A
63 years, female, white, stage:Stage IIA, alive, 457 days
2195.9
TCGA-AD-6901-01A
78 years, male, white, stage:'--, dead, 682 days
2191.4
TCGA-F4-6461-01A
41 years, female, white, stage:Stage IIIC, dead, 338 days
2183.5
TCGA-F4-6856-01A
45 years, male, white, stage:Stage I, alive, 1074 days
2181.8
TCGA-CM-6170-01A
73 years, female, white, stage:Stage I, alive, 457 days
2166.7
TCGA-F4-6805-01A
58 years, female, white, stage:Stage IIA, alive, 1047 days
2164.2
TCGA-AY-A8YK-01A
44 years, male, black or african american, stage:Stage IVA, alive, 573 days
2163.7
TCGA-CK-5913-01A
58 years, female, white, stage:Stage IIA, alive, 1561 days
2162.6
TCGA-F4-6807-01A
51 years, female, white, stage:Stage IIIC, alive, 1309 days
2159.7
TCGA-NH-A50V-01A
69 years, male, black or african american, stage:Stage IIIB, alive, 588 days
2153.5
TCGA-D5-5537-01A
83 years, male, white, stage:'--, dead, 1381 days
2149.5
TCGA-CM-5344-01A
39 years, female, white, stage:Stage IIIB, alive, 670 days
2141.3
TCGA-DM-A1DB-01A
68 years, male, white, stage:Stage IIA, dead, 1348 days
2132.3
TCGA-DM-A0X9-01A
71 years, female, white, stage:Stage IIA, alive, 3641 days
2121.6
TCGA-DM-A282-01A
60 years, female, white, stage:Stage IIA, alive, 4233 days
2104.3
TCGA-AA-3655-01A
68 years, male, stage:Stage II, alive, 1856 days
2099.7
TCGA-CK-4950-01A
68 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2094.6
TCGA-A6-6653-01A
82 years, male, white, stage:Stage I, alive, 742 days
2093.2
TCGA-DM-A1D9-01A
67 years, female, white, stage:Stage IIA, alive, 4270 days
2091.6
TCGA-DM-A280-01A
70 years, female, white, stage:Stage IIA, dead, 236 days
2073.4
TCGA-G4-6322-01A
65 years, male, white, stage:Stage IIIB, alive, 792 days
2057.3
TCGA-CK-4952-01A
48 years, female, white, stage:Stage IIIC, alive, 475 days
2053.9
TCGA-A6-2674-01A
71 years, male, white, stage:Stage IV, alive, 1331 days
2045.3
TCGA-D5-6924-01A
68 years, male, white, stage:Stage IIA, alive, 435 days
2036.1
TCGA-F4-6806-01A
59 years, female, white, stage:Stage I, alive, 1260 days
2035.9
TCGA-A6-6654-01A
65 years, female, white, stage:Stage IIIB, alive, 726 days
2030.6
TCGA-CM-6169-01A
67 years, male, black or african american, stage:Stage IIA, alive, 396 days
2008.6
TCGA-DM-A28H-01A
50 years, male, white, stage:Stage IIIC, alive, 3561 days
2001.7
TCGA-AY-A69D-01A
55 years, female, black or african american, stage:Stage IIA, alive, 543 days
2000.9
TCGA-AD-6965-01A
62 years, male, white, stage:Stage IIIC, alive, 805 days
1992.5
TCGA-AY-6386-01A
66 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1984.6
TCGA-AZ-6601-01A
68 years, male, white, stage:Stage II, dead, 3042 days
1972.6
TCGA-A6-6141-01A
31 years, male, black or african american, stage:Stage IIA, alive, 255 days
1967.9
TCGA-D5-6923-01A
57 years, male, white, stage:Stage I, alive, 378 days
1965.6
TCGA-CK-6747-01A
87 years, female, white, stage:Stage IIA, alive, 820 days
1962.2
TCGA-G4-6294-01A
75 years, male, white, stage:Stage IV, dead, 858 days
1961.6
TCGA-DM-A28G-01A
75 years, male, white, stage:Stage IIA, dead, 1849 days
1958.3
TCGA-D5-6537-01A
64 years, male, white, stage:Stage IIIB, dead, 146 days
1957.1
TCGA-AZ-6598-01A
77 years, female, white, stage:Stage II, dead, 1503 days
1940.7
TCGA-A6-6780-01A
74 years, male, white, stage:Stage IIA, alive, 612 days
1931.0
TCGA-D5-6529-01A
69 years, male, white, stage:Stage IIA, alive, 614 days
1930.1
TCGA-AY-5543-01A
65 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1928.2
TCGA-AM-5821-01A
68 years, female, white, stage:Stage IIA, alive, 28 days
1927.9
TCGA-AZ-6607-01A
69 years, male, white, stage:Stage IV, dead, 97 days
1926.4
TCGA-A6-3809-01A
71 years, female, white, stage:Stage IIB, alive, 996 days
1923.8
TCGA-F4-6808-01A
54 years, female, white, stage:Stage I, alive, 1024 days
1922.4
TCGA-CK-5916-01A
71 years, female, white, stage:Stage I, dead, 643 days
1912.1
TCGA-G4-6295-01A
70 years, female, white, stage:Stage II, alive, 254 days
1911.4
TCGA-AU-3779-01A
80 years, female, white, stage:Stage IIA, alive, 441 days
1908.3
TCGA-G4-6314-01A
76 years, female, white, stage:Stage IV, alive, 1093 days
1907.6
TCGA-D5-6536-01A
73 years, male, white, stage:Stage IIA, alive, 543 days
1906.2
TCGA-A6-2675-01A
78 years, male, white, stage:Stage IIA, alive, 1321 days
1896.5
TCGA-A6-5665-01A
84 years, female, white, stage:Stage IIA, alive, 671 days
1888.7
TCGA-A6-6137-01A
55 years, male, white, stage:Stage IIIB, alive, 824 days
1884.5
TCGA-A6-6649-01A
66 years, male, white, stage:Stage IIIB, alive, 735 days
1859.2
TCGA-D5-6898-01A
51 years, female, white, stage:Stage I, alive, 229 days
1851.1
TCGA-F4-6463-01A
51 years, male, white, stage:Stage IIA, alive, 1087 days
1845.7
TCGA-D5-6926-01A
65 years, male, white, stage:Stage IIIB, alive, 275 days
1844.9
TCGA-QG-A5Z2-01A
61 years, male, black or african american, stage:Stage I, alive, 952 days
1839.8
TCGA-AD-6895-01A
84 years, male, white, stage:Stage IIIB, alive, 763 days
1835.7
TCGA-CM-4751-01A
62 years, male, white, stage:Stage IIIB, alive, 822 days
1834.4
TCGA-AA-3489-01A
75 years, male, stage:Stage II, dead, 214 days
1814.3
TCGA-F4-6569-01A
60 years, male, white, stage:Stage I, alive, 1087 days
1806.2
TCGA-AA-3713-01A
68 years, male, stage:Stage IV, alive, 579 days
1804.0
TCGA-D5-5538-01A
60 years, female, white, stage:Stage IIIB, dead, 1661 days
1798.2
TCGA-AZ-6605-01A
77 years, male, white, stage:Stage IIIB, dead, 159 days
1781.6
TCGA-AY-A54L-01A
74 years, female, black or african american, stage:Stage I, alive, 525 days
1773.3
TCGA-DM-A1HA-01A
82 years, male, white, stage:Stage IIIC, alive, 2600 days
1773.2
TCGA-A6-6782-01A
82 years, male, white, stage:Stage IIB, alive, 617 days
1770.9
TCGA-DM-A285-01A
71 years, female, white, stage:Stage IV, dead, 179 days
1760.5
TCGA-AY-6197-01A
60 years, male, white, stage:Stage IIA, alive, 652 days
1753.4
TCGA-G4-6586-01A
73 years, female, white, stage:Stage IIA, alive, 1089 days
1744.0
TCGA-A6-6138-01A
61 years, male, white, stage:Stage I, alive, 685 days
1739.1
TCGA-G4-6323-01A
50 years, male, black or african american, stage:Stage IA, alive, 419 days
1734.4
TCGA-AA-3511-01A
64 years, male, stage:Stage II, alive, 212 days
1732.3
TCGA-A6-6648-01A
56 years, male, white, stage:Stage IVA, alive, 766 days
1728.5
TCGA-CA-6718-01A
46 years, male, asian, stage:Stage IIA, dead, 306 days
1726.0
TCGA-D5-6533-01A
68 years, female, white, stage:'--, alive, 775 days
1725.1
TCGA-QG-A5Z1-01A
71 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1716.2
TCGA-D5-7000-01A
79 years, female, white, stage:Stage I, alive, 312 days
1713.6
TCGA-A6-5664-01A
80 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1704.3
TCGA-G4-6627-01A
84 years, male, white, stage:Stage IIA, alive, 2175 days
1701.4
TCGA-A6-5656-01A
74 years, male, white, stage:Stage I, alive, 1001 days
1696.6
TCGA-F4-6570-01A
78 years, female, white, stage:Stage IIA, dead, 188 days
1677.1
TCGA-A6-6650-01A
69 years, female, black or african american, stage:Stage IIA, alive, 627 days
1657.0
TCGA-CA-5254-01A
42 years, female, asian, stage:Stage IIA, alive, 386 days
1646.9
TCGA-CM-6172-01A
70 years, female, white, stage:Stage IIIB, alive, 335 days
1643.3
TCGA-NH-A6GB-01A
71 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1636.8
TCGA-G4-6309-01A
40 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1631.5
TCGA-DM-A0XF-01A
68 years, female, white, stage:Stage IIIC, dead, 1162 days
1602.9
TCGA-CM-5348-01A
72 years, male, white, stage:Stage IIIB, alive, 699 days
1599.5
TCGA-CM-6168-01A
84 years, female, black or african american, stage:Stage IIA, alive, 395 days
1599.2
TCGA-D5-6922-01A
76 years, male, white, stage:Stage IIIA, alive, 308 days
1565.0
TCGA-SS-A7HO-01A
44 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1535.6
TCGA-D5-6540-01A
66 years, male, white, stage:Stage I, alive, 491 days
1529.7
TCGA-A6-6781-01A
43 years, male, white, stage:Stage IIIC, alive, 598 days
1523.7
TCGA-CM-6165-01A
74 years, male, white, stage:Stage IIA, alive, 488 days
1509.4
TCGA-G4-6625-01A
77 years, female, white, stage:Stage IIA, alive, 2792 days
1506.4
TCGA-QG-A5YX-01A
61 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1501.1
TCGA-AZ-4323-01A
37 years, male, white, stage:Stage IV, dead, 43 days
1495.8
TCGA-CA-5797-01A
56 years, male, asian, stage:Stage IIA, alive, 383 days
1493.5
TCGA-D5-6920-01A
77 years, female, white, stage:Stage IIA, alive, 377 days
1488.5
TCGA-D5-6931-01A
77 years, male, white, stage:Stage IIIC, alive, 365 days
1483.9
TCGA-A6-6140-01A
62 years, male, white, stage:Stage IIA, alive, 734 days
1475.6
TCGA-CM-6167-01A
57 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1466.4
TCGA-D5-6535-01A
80 years, female, white, stage:Stage IIIB, alive, 460 days
1447.2
TCGA-G4-6293-01A
49 years, female, white, stage:Stage III, alive, 4051 days
1424.0
TCGA-F4-6459-01A
61 years, female, white, stage:Stage IIIB, dead, 262 days
1406.0
TCGA-CM-6171-01A
77 years, female, white, stage:Stage I, alive, 427 days
1401.3
TCGA-A6-5661-01A
80 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1399.6
TCGA-A6-A566-01A
55 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1398.8
TCGA-A6-A5ZU-01A
59 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1397.4
TCGA-F4-6703-01A
64 years, male, white, stage:Stage IIA, alive, 1456 days
1394.9
TCGA-G4-6297-01A
55 years, female, white, stage:Stage IV, alive, 2506 days
1278.8
TCGA-A6-6142-01A
56 years, female, white, stage:Stage IVA, alive, 763 days
1271.4
TCGA-CM-6675-01A
35 years, male, black or african american, stage:Stage IVB, alive, 397 days
1238.5
TCGA-D5-6534-01A
62 years, female, white, stage:Stage IIA, alive, 1316 days
1198.8
TCGA-AU-6004-01A
69 years, female, white, stage:Stage I, alive, 824 days
1170.3
TCGA-CK-5912-01A
81 years, male, white, stage:Stage I, dead, 1493 days
1154.1
TCGA-CM-6162-01A
48 years, female, white, stage:Stage IIIB, alive, 365 days
1140.5
TCGA-A6-A567-01A
56 years, male, black or african american, stage:Stage IV, dead, 1881 days
1136.5
TCGA-WS-AB45-01A
52 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1097.7
TCGA-D5-6539-01A
45 years, female, white, stage:'--, alive, 380 days
1052.0
TCGA-AY-6196-01A
47 years, male, white, stage:Stage IIIC, alive, 6 days
1042.2
TCGA-D5-6541-01A
49 years, male, white, stage:Stage IIA, alive, 474 days
992.9
TCGA-D5-6928-01A
80 years, male, white, stage:Stage IIA, alive, 354 days
967.3
TCGA-A6-A565-01A
34 years, female, black or african american, stage:Stage IIIC, dead, 494 days
964.7
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.
RPL36 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
1061.5
Number of samples
486
Samples
Sample
Description
pTPM
U0196
75 years, male, NA, stage:T3N0M0, alive, 2086 days
2391.2
U0991
83 years, male, NA, stage:T4N2M0, dead, 534 days
2294.4
U1155
75 years, male, NA, stage:T4N1M0, alive, 1815 days
2293.3
U1432
60 years, female, NA, stage:T3N1M0, alive, 577 days
2060.1
U0967
84 years, male, NA, stage:T2N0M0, dead, 1691 days
2002.5
U0166
82 years, female, NA, stage:T3N0M0, alive, 763 days
1952.6
U2815
82 years, female, NA, stage:T3N0M0, alive, 717 days
1947.3
U1344
65 years, female, NA, stage:T3N1M0, alive, 1450 days
1946.6
U1018
81 years, male, NA, stage:T4N1M1, dead, 1693 days
1902.8
U1017
82 years, male, NA, stage:T3N0M0, alive, 615 days
1895.5
U1251
69 years, male, NA, stage:T4N2M0, alive, 126 days
1887.6
U0429
58 years, female, NA, stage:T3N0M1, alive, 1099 days
1821.8
U0290
72 years, male, NA, stage:T4N2M0, dead, 593 days
1820.3
U0999
84 years, male, NA, stage:T3N2M0, alive, 860 days
1814.6
U0262
69 years, female, NA, stage:T2N0M0, alive, 2534 days
1796.5
U0144
84 years, male, NA, stage:T3N0M0, alive, 1218 days
1764.3
U1201
72 years, male, NA, stage:T3N2M0, alive, 1484 days
1749.0
U0167
79 years, male, NA, stage:T3N1M0, alive, 1820 days
1748.0
U0185
80 years, male, NA, stage:T1N0M0, alive, 1248 days
1745.3
U1264
69 years, female, NA, stage:T3N0M0, dead, 1583 days
1740.1
U0091
90 years, male, NA, stage:T3N0M0, alive, 520 days
1689.5
U3022
77 years, male, NA, stage:T2N0M0, alive, 484 days
1689.3
U3032
61 years, female, NA, stage:T3N1M0, alive, 449 days
1679.9
U2953
55 years, female, NA, stage:T4aN0M0, alive, 541 days
1650.7
U2995
81 years, female, NA, stage:T3N1M0, alive, 491 days
1636.7
U0240
75 years, female, NA, stage:T3N1M0, dead, 800 days
1636.7
U0933
85 years, male, NA, stage:T3N2M0, dead, 1960 days
1636.3
U0104
87 years, female, NA, stage:T4N0M0, dead, 1639 days
1636.3
U0168
81 years, male, NA, stage:T3N0M0, dead, 948 days
1631.9
U1366
63 years, male, NA, stage:T3N1M0, alive, 2010 days
1615.5
U0112
86 years, female, NA, stage:T3N0M1, alive, 551 days
1613.8
U0390
64 years, male, NA, stage:T3N1M0, alive, 871 days
1603.7
U1369
63 years, male, NA, stage:T3N0M0, dead, 1604 days
1593.3
U0394
65 years, male, NA, stage:T2N1M0, alive, 969 days
1587.0
U0151
80 years, female, NA, stage:T3N0M0, alive, 2014 days
1569.4
U0300
71 years, male, NA, stage:T2N0M0, alive, 974 days
1563.6
U0972
83 years, female, NA, stage:T1N0M0, alive, 2473 days
1554.3
U0400
62 years, male, NA, stage:T4N0M0, dead, 1073 days
1547.6
U0314
67 years, female, NA, stage:T1N0M0, dead, 2436 days
1539.3
U0938
86 years, female, NA, stage:T3N0M0, dead, 1231 days
1532.2
U3012
66 years, male, NA, stage:T3N0M0, alive, 472 days
1531.4
U0413
61 years, male, NA, stage:T2N0M0, alive, 1228 days
1528.0
U1384
62 years, male, NA, stage:T4N1M0, alive, 1319 days
1524.2
U0171
78 years, female, NA, stage:T3N1M0, dead, 1920 days
1523.9
U2928
52 years, male, NA, stage:T2N0M0, alive, 563 days
1509.3
U0225
77 years, male, NA, stage:T3N1M0, alive, 581 days
1506.2
U0108
84 years, female, NA, stage:T3N0M1, alive, 535 days
1500.8
U1204
71 years, male, NA, stage:T4N2M0, alive, 2214 days
1479.3
U0389
64 years, female, NA, stage:T3N1M0, dead, 927 days
1475.1
U0183
74 years, male, NA, stage:T3N1M1, dead, 2957 days
1473.4
U0408
56 years, female, NA, stage:T4N0M0, dead, 2100 days
1468.5
U0223
71 years, male, NA, stage:T4N1M0, alive, 1812 days
1466.4
U1160
74 years, male, NA, stage:T3N1M0, alive, 1557 days
1458.7
U0127
80 years, female, NA, stage:T3N0M0, dead, 2753 days
1458.3
U0186
73 years, female, NA, stage:T2N0M0, alive, 3726 days
1457.9
U0414
60 years, male, NA, stage:T3N0M0, alive, 1691 days
1442.8
U0440
51 years, female, NA, stage:T4N0M0, dead, 2743 days
1441.1
U0087
87 years, female, NA, stage:T3N2M0, dead, 337 days
1440.7
U0306
71 years, male, NA, stage:T3N1M0, dead, 717 days
1437.3
U0126
79 years, male, NA, stage:T3N0M0, dead, 2876 days
1436.9
U0004
61 years, female, NA, stage:T4N0M0, alive, 3649 days
1427.5
U0302
73 years, male, NA, stage:T1N0M0, alive, 892 days
1423.7
U0111
88 years, male, NA, stage:T2N0M0, alive, 1117 days
1418.5
U0244
69 years, female, NA, stage:T3N1M0, alive, 3184 days
1417.2
U0312
65 years, female, NA, stage:T4N2M1, alive, 499 days
1412.8
U0083
88 years, male, NA, stage:T4N0M0, dead, 731 days
1405.3
U0254
75 years, female, NA, stage:T3N1M0, alive, 659 days
1404.3
U0106
82 years, female, NA, stage:T3N1M0, dead, 653 days
1402.9
U0202
73 years, male, NA, stage:T3N0M0, dead, 2670 days
1402.3
U0135
82 years, female, NA, stage:T3N0M0, alive, 1738 days
1399.2
U1454
54 years, female, NA, stage:T3N0M0, alive, 393 days
1395.2
U2848
67 years, female, NA, stage:T4N2M0, alive, 669 days
1391.5
U0455
47 years, female, NA, stage:T3N2M0, alive, 2445 days
1382.6
U0446
53 years, male, NA, stage:T2N0M0, alive, 1446 days
1381.2
U3034
64 years, female, NA, stage:T3N1M0, alive, 443 days
1377.1
U0154
83 years, male, NA, stage:T3N0M0, alive, 820 days
1375.8
U0436
59 years, male, NA, stage:T4N1M1, alive, 960 days
1373.8
U0122
85 years, female, NA, stage:T2N0M0, dead, 159 days
1362.9
U1301
66 years, female, NA, stage:T4N2M0, dead, 877 days
1361.3
U0103
88 years, female, NA, stage:T3N1M0, alive, 1197 days
1357.7
U2958
84 years, female, NA, stage:T1N0M0, alive, 536 days
1355.5
U0350
68 years, female, NA, stage:T4N0M0, alive, 770 days
1353.2
U0170
77 years, male, NA, stage:T4N1M0, dead, 832 days
1350.2
U0189
74 years, female, NA, stage:T3N0M0, dead, 1823 days
1348.9
U0260
69 years, male, NA, stage:T1N0M1, alive, 2928 days
1340.4
U0383
60 years, male, NA, stage:T3N2M1, dead, 595 days
1337.9
U0344
69 years, male, NA, stage:T2N1M0, dead, 818 days
1335.0
U2999
79 years, female, NA, stage:T2N0M0, alive, 581 days
1331.0
U0358
64 years, female, NA, stage:T4N1M0, alive, 2290 days
1324.2
U0387
65 years, male, NA, stage:T2N0M0, alive, 1327 days
1322.8
U1228
71 years, male, NA, stage:T3N0M0, alive, 1333 days
1318.3
U0278
73 years, female, NA, stage:T2N0M0, alive, 763 days
1317.1
U0152
82 years, male, NA, stage:T3N1M0, alive, 989 days
1311.8
U0937
86 years, male, NA, stage:T2N0M0, dead, 1558 days
1301.1
U1022
81 years, male, NA, stage:T4N2M0, dead, 61 days
1299.7
U1274
69 years, male, NA, stage:T2N1M0, alive, 1198 days
1298.6
U1241
70 years, male, NA, stage:T3N1M0, dead, 49 days
1298.5
U0224
72 years, female, NA, stage:T3N0M0, alive, 2367 days
1294.8
U0163
81 years, male, NA, stage:T4N0M0, alive, 697 days
1294.7
U1246
70 years, female, NA, stage:T3N0M0, alive, 1441 days
1290.7
U0098
84 years, male, NA, stage:T3N0M0, dead, 2473 days
1282.7
U2861
78 years, male, NA, stage:T3N0M0, alive, 652 days
1282.0
U0105
82 years, female, NA, stage:T2N0M0, dead, 2158 days
1276.9
U0316
68 years, male, NA, stage:T3N2M0, alive, 2012 days
1272.3
U1007
82 years, male, NA, stage:T3N0M0, alive, 1333 days
1268.4
U0354
69 years, male, NA, stage:T3N1M0, alive, 430 days
1266.0
U2782
79 years, male, NA, stage:T3N1M1, alive, 773 days
1265.1
U1474
45 years, female, NA, stage:T1N0MX, alive, 2012 days
1262.9
U1392
61 years, male, NA, stage:T3N0M0, alive, 1513 days
1259.1
U0342
68 years, male, NA, stage:T4N2M0, alive, 305 days
1254.2
U0384
64 years, male, NA, stage:T2N1M1, alive, 1024 days
1252.5
U0101
84 years, male, NA, stage:T3N1M1, alive, 1878 days
1252.0
U0292
71 years, male, NA, stage:T4N1M0, alive, 1666 days
1252.0
U3005
74 years, male, NA, stage:T3N0M0, alive, 478 days
1251.9
U0075
88 years, male, NA, stage:T3N0M0, dead, 3 days
1250.7
U0328
66 years, male, NA, stage:T4N0M0, dead, 1362 days
1250.4
U0179
75 years, male, NA, stage:T3N1M0, dead, 1043 days
1249.5
U0273
68 years, male, NA, stage:T2N1M0, alive, 2641 days
1245.4
U1107
80 years, male, NA, stage:T3N0M0, alive, 329 days
1245.1
U0939
82 years, male, NA, stage:T3N1M0, alive, 2960 days
1244.1
U1258
70 years, male, NA, stage:T3N1M0, alive, 1373 days
1243.3
U0373
64 years, female, NA, stage:T3N0M0, alive, 1822 days
1242.9
U0200
73 years, female, NA, stage:T3N0M0, alive, 2614 days
1239.2
U0347
68 years, female, NA, stage:T4N1M1, alive, 628 days
1238.3
U3051
48 years, male, NA, stage:T3N2M0, alive, 415 days
1236.5
U0287
69 years, female, NA, stage:T2N0M0, alive, 1897 days
1234.4
U1114
76 years, female, NA, stage:TXNXM1, dead, 473 days
1234.1
U1429
58 years, female, NA, stage:T3N0M0, alive, 1660 days
1231.8
U1067
79 years, male, NA, stage:T3N0M0, alive, 1570 days
1231.7
U0934
87 years, female, NA, stage:T3N0M0, alive, 1185 days
1229.6
U1122
75 years, female, NA, stage:T3N2M0, alive, 1675 days
1228.7
U0379
63 years, male, NA, stage:T2N0M0, alive, 1819 days
1227.3
U1349
63 years, female, NA, stage:T3N1M0, alive, 1899 days
1226.9
U1472
47 years, female, NA, stage:T3N1M0, alive, 1316 days
1222.4
U0399
63 years, female, NA, stage:T4N2M0, dead, 547 days
1221.7
U0882
93 years, male, NA, stage:T3N0M0, alive, 1675 days
1220.8
U3042
62 years, male, NA, stage:T3N0M0, alive, 324 days
1217.2
U3039
74 years, male, NA, stage:T4N1M1, dead, 366 days
1216.3
U0203
77 years, male, NA, stage:T3N0M0, dead, 827 days
1216.2
U0245
71 years, female, NA, stage:T3N1M0, dead, 564 days
1207.4
U0222
72 years, female, NA, stage:T3N2M1, alive, 1779 days
1207.2
U0227
72 years, female, NA, stage:T4N2M0, alive, 291 days
1206.2
U0448
46 years, male, NA, stage:T3N2M0, alive, 3615 days
1205.1
U0257
69 years, male, NA, stage:T3N1M0, dead, 2508 days
1191.0
U0382
61 years, female, NA, stage:T3N0M0, alive, 2550 days
1190.9
U0280
68 years, male, NA, stage:T3N1M1, alive, 2731 days
1189.5
U0110
87 years, female, NA, stage:T3N1M1, dead, 878 days
1187.4
U0376
66 years, male, NA, stage:T2N1M0, alive, 965 days
1186.8
U0976
82 years, female, NA, stage:T3N2M0, dead, 97 days
1186.7
U2942
74 years, male, NA, stage:T2N0M0, alive, 549 days
1184.5
U0361
63 years, male, NA, stage:T3N0M0, alive, 686 days
1183.7
U0134
82 years, male, NA, stage:T3N0M0, alive, 2009 days
1182.7
U0195
73 years, male, NA, stage:T3N0M0, alive, 3326 days
1182.0
U0124
81 years, female, NA, stage:T1N0M0, alive, 2430 days
1174.8
U0236
72 years, male, NA, stage:T3N1M0, alive, 1842 days
1174.7
U1099
77 years, female, NA, stage:T3N0M0, alive, 2068 days
1171.6
U0307
65 years, male, NA, stage:T3N0M0, alive, 2921 days
1169.2
U0966
84 years, male, NA, stage:T4N0M0, dead, 1513 days
1167.2
U2798
68 years, male, NA, stage:T3N0M0, alive, 751 days
1163.6
U0234
75 years, male, NA, stage:T1N1M0, alive, 990 days
1163.1
U0327
70 years, male, NA, stage:T4N0M0, alive, 833 days
1161.4
U0090
85 years, female, NA, stage:T3N0M0, dead, 1258 days
1160.7
U0898
90 years, female, NA, stage:T4aN0M0, dead, 340 days
1158.6
U0145
81 years, male, NA, stage:T3N1M1, alive, 623 days
1158.6
U0210
75 years, male, NA, stage:T3N0M0, dead, 1800 days
1152.2
U0094
89 years, female, NA, stage:T3N2M0, alive, 741 days
1150.1
U0252
70 years, male, NA, stage:T3N1M0, dead, 1761 days
1142.4
U0263
69 years, female, NA, stage:T3N0M1, alive, 362 days
1141.0
U0929
85 years, male, NA, stage:T4N1M0, alive, 436 days
1138.9
U1129
74 years, male, NA, stage:T3N0M0, dead, 118 days
1138.3
U0320
66 years, female, NA, stage:T4N2M1, alive, 188 days
1137.0
U1073
79 years, female, NA, stage:T3N1M0, alive, 1359 days
1136.5
U1303
66 years, male, NA, stage:T4N1M0, alive, 2283 days
1136.2
U0136
79 years, female, NA, stage:T3N0M0, dead, 2795 days
1134.9
U3122
85 years, female, NA, stage:T3N0M1, dead, 91 days
1134.0
U1158
76 years, female, NA, stage:T3N1M0, alive, 721 days
1131.0
U1332
65 years, male, NA, stage:T3N0M0, alive, 1672 days
1126.7
U0066
93 years, male, NA, stage:T3N0M0, dead, 2486 days
1126.2
U1352
61 years, male, NA, stage:T3N2M1, dead, 741 days
1125.4
U0142
80 years, female, NA, stage:T4N1M0, alive, 2340 days
1124.8
U2948
74 years, female, NA, stage:T3N1M0, alive, 543 days
1124.2
U3048
57 years, male, NA, stage:T4N2M0, alive, 535 days
1121.6
U3050
61 years, female, NA, stage:T3N0M0, alive, 407 days
1118.1
U0268
67 years, male, NA, stage:T3N0M0, alive, 2978 days
1116.1
U0471
38 years, female, NA, stage:T3N1M0, alive, 1673 days
1115.7
U0253
74 years, female, NA, stage:T3N0M0, alive, 958 days
1113.5
U1049
82 years, female, NA, stage:T3N1M0, alive, 1200 days
1112.5
U0459
49 years, female, NA, stage:T3N0M0, alive, 966 days
1110.2
U0072
88 years, male, NA, stage:T3N0M0, alive, 2772 days
1109.5
U1060
78 years, male, NA, stage:T3N0M0, alive, 2442 days
1107.5
U0465
43 years, male, NA, stage:T3N0M0, alive, 2383 days
1107.0
U0326
64 years, female, NA, stage:T3N0M0, alive, 3178 days
1106.3
U1346
66 years, female, NA, stage:T3N0M0, alive, 1137 days
1105.6
U1208
74 years, female, NA, stage:T1N0M0, alive, 834 days
1103.1
U1448
53 years, male, NA, stage:T3N0M1, dead, 1512 days
1095.3
U1031
80 years, male, NA, stage:T1N1M0, alive, 1625 days
1089.8
U0356
68 years, male, NA, stage:T4N1M0, alive, 536 days
1086.3
U1421
59 years, female, NA, stage:T3N1M0, alive, 1905 days
1085.4
U0180
74 years, male, NA, stage:T3N0M1, dead, 965 days
1085.2
U0207
73 years, female, NA, stage:T3N0M0, dead, 2593 days
1082.6
U3024
76 years, female, NA, stage:T3N0M0, alive, 463 days
1080.8
U3038
82 years, male, NA, stage:T3N0M0, alive, 328 days
1080.1
U0348
69 years, female, NA, stage:T3N0M0, alive, 533 days
1079.3
U1032
80 years, male, NA, stage:T3N1M0, alive, 2113 days
1077.8
U0950
86 years, female, NA, stage:T4N1M0, alive, 1834 days
1077.5
U1291
68 years, female, NA, stage:T3N0M0, alive, 2000 days
1075.9
U0363
61 years, male, NA, stage:T3N1M0, alive, 3601 days
1074.9
U0317
64 years, female, NA, stage:T3N2M0, alive, 3209 days
1073.9
U0442
56 years, male, NA, stage:T3N0M0, alive, 619 days
1070.4
U0269
69 years, female, NA, stage:T3N0M0, alive, 2530 days
1070.3
U0125
86 years, female, NA, stage:T1N0M0, dead, 668 days
1069.5
U3037
63 years, male, NA, stage:T3N1M0, alive, 405 days
1068.0
U1304
69 years, female, NA, stage:TXNXM0, alive, 1081 days
1067.7
U1257
71 years, male, NA, stage:T3N0M0, alive, 833 days
1065.9
U1347
65 years, female, NA, stage:T3N0M0, alive, 1401 days
1065.5
U0445
51 years, female, NA, stage:T3N0M0, alive, 1851 days
1060.9
U0977
84 years, female, NA, stage:T4N2M0, dead, 140 days
1060.2
U1338
67 years, female, NA, stage:T4N1M0, dead, 716 days
1058.0
U3100
89 years, male, NA, stage:T3N1M0, dead, 1608 days
1056.8
U0100
85 years, female, NA, stage:T3N0M0, dead, 1920 days
1055.2
U0303
67 years, female, NA, stage:T3N0M0, alive, 2847 days
1055.2
U1396
62 years, female, NA, stage:T4N0M0, alive, 1168 days
1054.9
U0375
66 years, male, NA, stage:T3N0M0, dead, 666 days
1048.5
U1013
82 years, female, NA, stage:T2N1M0, alive, 1439 days
1044.8
U1044
76 years, male, NA, stage:T4N0M0, alive, 3146 days
1041.0
U0464
49 years, male, NA, stage:T3N0M0, alive, 918 days
1039.8
U0117
83 years, female, NA, stage:T2N0M0, dead, 1078 days
1037.2
U0149
82 years, female, NA, stage:T3N2M0, alive, 1715 days
1035.6
U0181
74 years, female, NA, stage:T1N0M0, alive, 3623 days
1034.8
U3029
84 years, male, NA, stage:T2N0M0, alive, 475 days
1030.2
U0121
86 years, male, NA, stage:T4N2M0, alive, 655 days
1026.9
U1386
62 years, male, NA, stage:T3N1M0, alive, 1518 days
1026.4
U0319
65 years, male, NA, stage:T3N0M0, alive, 2801 days
1026.0
U0336
68 years, female, NA, stage:T3N0M0, alive, 1100 days
1025.4
U0315
65 years, female, NA, stage:T2N0M0, alive, 1973 days
1025.0
U1252
70 years, female, NA, stage:T4N2M0, alive, 1309 days
1022.0
U0274
70 years, male, NA, stage:T3N0M0, dead, 1570 days
1019.8
U2902
86 years, female, NA, stage:T2N0M0, alive, 596 days
1019.1
U1046
78 years, female, NA, stage:T4N2M1, dead, 697 days
1017.6
U0217
76 years, female, NA, stage:T3N0M0, dead, 538 days
1017.2
U0165
81 years, female, NA, stage:T2N0M0, alive, 1702 days
1015.3
U0288
72 years, male, NA, stage:T1N0M0, alive, 1513 days
1014.9
U0451
47 years, female, NA, stage:T4N2M0, alive, 3023 days
1013.4
U0368
67 years, male, NA, stage:T2N0M0, alive, 801 days
1012.2
U0067
92 years, female, NA, stage:T3N0M0, alive, 2180 days
1011.6
U1292
69 years, female, NA, stage:T4N1M0, alive, 1147 days
1011.4
U2971
62 years, male, NA, stage:T4aN0M0, alive, 629 days
1009.9
U0204
78 years, male, NA, stage:T3N0M0, dead, 770 days
1007.4
U0460
43 years, female, NA, stage:T3N0M0, dead, 2069 days
1006.9
U0323
69 years, male, NA, stage:T2N0M0, dead, 1016 days
1001.2
U0433
58 years, male, NA, stage:T4N1M1, dead, 440 days
1000.4
U0469
42 years, male, NA, stage:T3N0M0, dead, 409 days
999.6
U0281
72 years, male, NA, stage:T3N2M0, alive, 933 days
998.7
U0970
86 years, female, NA, stage:T4N1M0, alive, 939 days
996.4
U0333
66 years, female, NA, stage:T3N2M0, dead, 1959 days
992.9
U0256
74 years, male, NA, stage:T3N0M0, alive, 738 days
990.1
U1401
60 years, female, NA, stage:T3N0M0, alive, 1482 days
989.4
U0063
95 years, male, NA, stage:T1N0M0, dead, 1779 days
988.5
U1235
71 years, female, NA, stage:T2N0M0, alive, 1319 days
986.5
U0162
82 years, female, NA, stage:T3N0M0, alive, 1488 days
985.5
U0119
81 years, female, NA, stage:T3N0M0, alive, 3259 days
985.3
U3000
69 years, female, NA, stage:T3N0M0, alive, 584 days
983.8
U0235
75 years, female, NA, stage:T3N0M0, alive, 1327 days
981.3
U0069
94 years, female, NA, stage:T4N2M0, dead, 135 days
978.8
U0199
78 years, female, NA, stage:T4N2M0, alive, 1372 days
978.8
U0397
62 years, male, NA, stage:T4N0M0, alive, 1663 days
977.7
U0338
68 years, female, NA, stage:T3N0M0, alive, 1016 days
977.3
U0444
52 years, female, NA, stage:T4N1M0, alive, 1841 days
976.9
U1130
78 years, male, NA, stage:T2N1M0, alive, 913 days
976.3
U3018
67 years, male, NA, stage:T4N1M0, alive, 463 days
974.6
U0250
74 years, female, NA, stage:T4N0M0, dead, 906 days
973.9
U0095
86 years, male, NA, stage:T4N1M0, dead, 1034 days
972.3
U0403
60 years, male, NA, stage:T3N1M1, dead, 1809 days
971.6
U0143
80 years, male, NA, stage:T3N2M0, alive, 2313 days
970.6
U0161
78 years, male, NA, stage:T4N2M1, alive, 42 days
970.4
U0352
62 years, female, NA, stage:T4N2M0, dead, 385 days
970.4
U3030
77 years, female, NA, stage:T3N0M0, alive, 380 days
969.9
U0176
76 years, male, NA, stage:T3N1M0, alive, 2600 days
969.5
U2891
81 years, male, NA, stage:T3N1M0, alive, 619 days
969.2
U0367
61 years, female, NA, stage:T3N1M0, alive, 3075 days
965.9
U0908
89 years, female, NA, stage:T3N0M1, dead, 40 days
961.9
U0209
74 years, male, NA, stage:T3N1M0, alive, 2109 days
960.8
U0141
81 years, male, NA, stage:T3N2M0, alive, 2079 days
959.3
U2975
85 years, male, NA, stage:T4N1M0, alive, 514 days
958.2
U0318
71 years, male, NA, stage:T3N0M0, alive, 762 days
955.5
U0177
81 years, female, NA, stage:T3N0M0, alive, 355 days
955.0
U0427
59 years, male, NA, stage:T2N0M0, alive, 1193 days
953.2
U1094
79 years, female, NA, stage:T4N1M0, alive, 1267 days
951.7
U2819
86 years, female, NA, stage:T3N0M0, alive, 708 days
951.6
U0157
83 years, male, NA, stage:T4N0M0, dead, 131 days
951.3
U0277
72 years, male, NA, stage:T2N1M0, alive, 270 days
946.7
U2959
63 years, male, NA, stage:T3N2M0, alive, 536 days
943.4
U1184
70 years, male, NA, stage:T4N1M0, alive, 290 days
943.3
U1037
80 years, male, NA, stage:T4N0M0, alive, 1658 days
943.1
U1040
83 years, male, NA, stage:T2N0M0, alive, 1029 days
942.1
U0270
70 years, female, NA, stage:T1N0M0, alive, 2187 days
941.3
U1062
78 years, female, NA, stage:T4N0M0, alive, 1689 days
940.3
U2843
89 years, female, NA, stage:T3N0M0, alive, 674 days
939.6
U0211
76 years, female, NA, stage:T3N1M0, alive, 1236 days
939.4
U0247
70 years, female, NA, stage:T3N1M0, alive, 2538 days
938.9
U1162
73 years, male, NA, stage:T2N1M0, dead, 354 days
938.6
U2747
85 years, female, NA, stage:T4N1M0, dead, 54 days
935.2
U0182
79 years, female, NA, stage:T4N1M0, dead, 260 days
933.8
U0231
77 years, female, NA, stage:T2N0M0, alive, 991 days
933.0
U0092
84 years, male, NA, stage:T3N0M0, alive, 2779 days
931.9
U0378
66 years, female, NA, stage:T4N1M0, dead, 815 days
929.4
U0321
70 years, female, NA, stage:T3N0M0, alive, 1029 days
928.0
U1150
75 years, female, NA, stage:T3N0M0, alive, 15 days
928.0
U0215
77 years, male, NA, stage:T3N0M0, alive, 1269 days
924.9
U1074
77 years, male, NA, stage:T3N0M0, dead, 1043 days
924.6
U0960
86 years, male, NA, stage:T3N0M0, alive, 1009 days
920.9
U0467
38 years, female, NA, stage:T3N0M0, alive, 1848 days
919.5
U2964
84 years, male, NA, stage:T3N1M0, alive, 637 days
915.7
U0246
74 years, female, NA, stage:T4N0M0, dead, 1192 days
914.6
U0218
77 years, female, NA, stage:T3N0M0, alive, 714 days
913.8
U0916
88 years, female, NA, stage:T3N0M0, alive, 1578 days
913.0
U0463
49 years, male, NA, stage:T3N0M0, alive, 946 days
912.8
U0360
67 years, female, NA, stage:T3N0M0, dead, 1016 days
912.7
U0084
86 years, male, NA, stage:T3N0M0, dead, 1662 days
908.8
U1374
66 years, male, NA, stage:T4N0M0, alive, 827 days
905.8
U2792
68 years, male, NA, stage:T2N1M0, alive, 758 days
898.8
U1045
80 years, female, NA, stage:T4N2M0, alive, 1239 days
898.0
U0357
64 years, female, NA, stage:T3N0M0, alive, 2285 days
896.8
U0426
59 years, male, NA, stage:T3N0M0, dead, 976 days
896.3
U0285
69 years, female, NA, stage:T3N0M0, alive, 2165 days
896.3
U0987
82 years, female, NA, stage:T3N0M0, alive, 2482 days
894.8
U3008
82 years, female, NA, stage:T2N0M0, alive, 473 days
890.9
U1253
68 years, female, NA, stage:T3N0M0, dead, 165 days
890.1
U0266
70 years, female, NA, stage:T3N1M0, dead, 2221 days
889.7
U0081
87 years, male, NA, stage:T3N2M0, dead, 248 days
888.0
U2803
66 years, male, NA, stage:T3N1M0, alive, 744 days
885.5
U0589
56 years, female, NA, stage:T3N0M0, alive, 1176 days
885.3
U1127
71 years, female, NA, stage:T3N0M0, alive, 3465 days
885.2
U0590
75 years, female, NA, stage:T3N0M0, alive, 661 days
882.0
U1104
78 years, female, NA, stage:T4N0M0, alive, 1109 days
880.6
U1483
43 years, female, NA, stage:T3N0M0, alive, 1094 days
875.9
U0099
85 years, female, NA, stage:T3N0M0, dead, 986 days
874.7
U1239
69 years, male, NA, stage:T2N0M0, dead, 1998 days
872.9
U1095
76 years, female, NA, stage:T3N1M1, alive, 2425 days
872.9
U1447
57 years, male, NA, stage:T4N1M0, alive, 988 days
871.1
U1436
56 years, female, NA, stage:T3N0M0, alive, 1745 days
871.0
U1327
66 years, female, NA, stage:T3N0M0, alive, 1613 days
868.5
U2774
66 years, female, NA, stage:T3N0M0, alive, 783 days
868.3
U1065
75 years, female, NA, stage:T3N2M0, alive, 2954 days
866.4
U0386
60 years, female, NA, stage:T4N1M1, alive, 2592 days
864.2
U1220
70 years, male, NA, stage:T3N2M0, dead, 1953 days
864.1
U1321
65 years, male, NA, stage:T3N1M0, alive, 2578 days
862.1
U0259
68 years, female, NA, stage:T4N2M0, alive, 76 days
860.5
U0193
76 years, male, NA, stage:T3N1M0, dead, 876 days
859.8
U0335
65 years, female, NA, stage:T3N1M0, alive, 2464 days
859.7
U1120
76 years, male, NA, stage:T4N1M1, alive, 823 days
858.2
U1145
74 years, female, NA, stage:T3N0M0, dead, 445 days
858.0
U0420
56 years, male, NA, stage:T4N1M1, alive, 417 days
850.3
U2935
70 years, male, NA, stage:T4N1M0, alive, 555 days
849.1
U0309
68 years, female, NA, stage:T3N0M0, dead, 1898 days
846.4
U0297
67 years, female, NA, stage:T3N2M0, alive, 1196 days
843.4
U0229
70 years, female, NA, stage:TXN2M1, dead, 2115 days
843.2
U0208
76 years, female, NA, stage:T3N1M0, dead, 1233 days
841.4
U0153
80 years, female, NA, stage:T3N0M0, dead, 1718 days
837.8
U0191
80 years, male, NA, stage:T3N1M0, alive, 900 days
836.5
U0416
61 years, male, NA, stage:T1N1M0, alive, 1228 days
836.1
U2927
51 years, male, NA, stage:T3N1M0, alive, 564 days
835.9
U0474
30 years, male, NA, stage:T3N1M0, alive, 1017 days
833.9
U1240
70 years, male, NA, stage:T4N0M0, alive, 765 days
833.8
U2947
77 years, female, NA, stage:T3N0M0, alive, 543 days
832.9
U0187
77 years, male, NA, stage:T3N2M0, alive, 1632 days
830.7
U0404
57 years, female, NA, stage:T3N2M0, dead, 204 days
828.9
U0146
79 years, female, NA, stage:T3N2M0, dead, 733 days
823.5
U0109
82 years, female, NA, stage:T4N2M1, alive, 144 days
821.1
U0955
83 years, female, NA, stage:T3N0M0, alive, 2170 days
818.8
U0447
51 years, male, NA, stage:T4N1M0, dead, 1819 days
817.8
U2981
74 years, male, NA, stage:T3N0M0, alive, 508 days
817.0
U0313
70 years, male, NA, stage:T4N1M0, dead, 1142 days
816.8
U0984
84 years, female, NA, stage:T4N0M0, alive, 1287 days
815.3
U0308
72 years, male, NA, stage:T4N1M0, alive, 1075 days
814.0
U0396
59 years, male, NA, stage:T4N2M0, alive, 2243 days
810.9
U1103
76 years, female, NA, stage:T4N2M0, alive, 975 days
808.5
U0942
88 years, male, NA, stage:T3N0M0, alive, 665 days
805.6
U1212
74 years, female, NA, stage:T2N0M0, alive, 69 days
803.3
U0345
65 years, female, NA, stage:T3N0M0, alive, 2127 days
801.8
U2979
73 years, male, NA, stage:T3N2M0, alive, 616 days
800.3
U0169
82 years, male, NA, stage:T4N2M0, alive, 616 days
800.1
U0115
84 years, female, NA, stage:T3N0M0, dead, 1738 days
799.6
U0129
82 years, male, NA, stage:T4N0M0, dead, 1265 days
797.0
U2754
81 years, male, NA, stage:T4N0M0, alive, 809 days
796.4
U0915
88 years, female, NA, stage:T3N0M0, alive, 1613 days
795.3
U2882
65 years, female, NA, stage:T3N1M0, alive, 637 days
791.0
U0113
88 years, male, NA, stage:T4N2M0, alive, 1102 days
790.6
U0439
56 years, male, NA, stage:T3N1M0, alive, 1418 days
790.4
U1072
80 years, male, NA, stage:T1N0M0, alive, 1446 days
790.2
U0949
84 years, female, NA, stage:T3N0M1, dead, 594 days
789.0
U2889
77 years, male, NA, stage:T4N0M0, alive, 623 days
787.8
U2896
81 years, female, NA, stage:T3N1M0, alive, 609 days
785.7
U0289
66 years, female, NA, stage:T3N0M0, alive, 3511 days
784.5
U1473
46 years, female, NA, stage:T3N0M0, alive, 1553 days
784.5
U0239
76 years, male, NA, stage:T2N0M0, alive, 67 days
783.7
U0198
77 years, male, NA, stage:T3N1M0, alive, 1272 days
783.5
U0381
60 years, male, NA, stage:T3N1M0, dead, 71 days
783.3
U0068
92 years, female, NA, stage:T3N1M0, alive, 1991 days
783.0
U1141
71 years, female, NA, stage:T4N1M1, dead, 596 days
782.9
U0175
77 years, male, NA, stage:T3N2M0, alive, 1875 days
780.2
U2780
75 years, male, NA, stage:T3N0M0, alive, 778 days
776.0
U0123
83 years, male, NA, stage:T3N0M0, dead, 1880 days
775.3
U1111
76 years, female, NA, stage:T3N0M0, dead, 1631 days
775.1
U0107
82 years, male, NA, stage:T3N0M0, dead, 2354 days
774.9
U0362
66 years, male, NA, stage:T3N0M0, alive, 1148 days
771.0
U0295
67 years, male, NA, stage:T3N0M0, dead, 2572 days
770.1
U0085
88 years, male, NA, stage:T4N1M0, dead, 1698 days
769.1
U1188
72 years, female, NA, stage:T3N0M0, dead, 967 days
768.5
U0133
85 years, female, NA, stage:T3N0M0, alive, 773 days
767.5
U0398
63 years, female, NA, stage:T3N0M0, alive, 721 days
766.3
U3043
68 years, female, NA, stage:T3N2M0, alive, 287 days
764.8
U0453
46 years, male, NA, stage:T3N0M0, alive, 2859 days
764.3
U0370
67 years, female, NA, stage:T3N0M0, alive, 1047 days
764.3
U0377
59 years, female, NA, stage:T3N2M0, alive, 3720 days
763.9
U0233
71 years, female, NA, stage:T3N1M0, alive, 975 days
752.0
U0450
52 years, female, NA, stage:T3N1M0, alive, 763 days
747.8
U0473
33 years, male, NA, stage:T3N1M0, alive, 786 days
743.6
U0267
73 years, male, NA, stage:T4N0M0, dead, 445 days
743.2
U0421
60 years, male, NA, stage:T3N1M0, alive, 674 days
743.1
U1267
65 years, male, NA, stage:T3N1M0, dead, 2869 days
736.1
U1069
77 years, female, NA, stage:T3N0M0, dead, 2187 days
724.3
U0443
54 years, male, NA, stage:T3N0M0, alive, 1677 days
717.8
U0355
67 years, male, NA, stage:T4N1M0, dead, 1038 days
717.0
U0369
66 years, female, NA, stage:T3N0M0, dead, 1095 days
715.9
U2753
81 years, female, NA, stage:T2N0M0, alive, 813 days
714.8
U3025
68 years, male, NA, stage:T4N2M1, alive, 377 days
713.5
U1078
80 years, female, NA, stage:T3N0M0, alive, 1016 days
711.3
U2956
86 years, female, NA, stage:T3N0M0, alive, 540 days
710.6
U0172
78 years, male, NA, stage:T4N0M0, dead, 678 days
707.6
U0131
81 years, female, NA, stage:T4N2M1, alive, 238 days
705.5
U2837
76 years, female, NA, stage:T4N1M0, alive, 681 days
705.3
U1047
75 years, female, NA, stage:T4N2M0, alive, 3592 days
703.0
U1075
78 years, female, NA, stage:T3N0M0, alive, 1290 days
695.5
U0449
50 years, female, NA, stage:T3N0M0, alive, 1851 days
691.8
U0340
69 years, female, NA, stage:T4N2M1, dead, 438 days
690.4
U1486
39 years, female, NA, stage:T4N0M0, alive, 1606 days
690.2
U0435
52 years, female, NA, stage:T2N0M0, alive, 3616 days
690.1
U0462
45 years, female, NA, stage:T4N1M0, alive, 1017 days
680.0
U0332
66 years, female, NA, stage:T3N0M0, alive, 2101 days
679.7
U0070
89 years, male, NA, stage:T1N0M0, dead, 1319 days
679.0
U0993
83 years, male, NA, stage:T4N2M0, alive, 1267 days
675.4
U0401
60 years, male, NA, stage:T4N1M0, alive, 1715 days
672.6
U1147
73 years, male, NA, stage:T3N0M0, dead, 282 days
671.9
U0349
63 years, male, NA, stage:T3N1M0, alive, 2682 days
670.0
U0456
46 years, male, NA, stage:T4N0M0, dead, 2222 days
668.9
U0275
69 years, female, NA, stage:T3N2M0, alive, 549 days
666.8
U0441
50 years, female, NA, stage:T2N1M0, alive, 2738 days
666.0
U0158
76 years, male, NA, stage:T1N0M0, dead, 3101 days
664.5
U0214
72 years, male, NA, stage:T4N1M1, alive, 788 days
664.4
U0148
80 years, male, NA, stage:T3N0M0, alive, 1780 days
653.6
U0438
53 years, female, NA, stage:T3N0M0, alive, 2009 days
652.3
U1317
68 years, male, NA, stage:T4N1M0, alive, 965 days
647.9
U1250
70 years, male, NA, stage:T2N0M0, alive, 597 days
643.9
U0428
60 years, male, NA, stage:T4N1M1, alive, 1016 days
639.9
U2856
71 years, female, NA, stage:T4N1M1, alive, 660 days
627.9
U1071
78 years, female, NA, stage:T4N0M1, alive, 1514 days
627.9
U2842
60 years, female, NA, stage:T4N2M0, alive, 675 days
624.4
U0178
76 years, female, NA, stage:T3N1M0, dead, 2096 days
618.5
U1343
62 years, female, NA, stage:T4N2M0, alive, 3178 days
618.0
U0392
64 years, male, NA, stage:T3N2M0, alive, 489 days
613.7
U0078
91 years, female, NA, stage:T3N0M0, alive, 1183 days
611.9
U1276
66 years, male, NA, stage:T3N0M0, alive, 2474 days
610.7
U0089
85 years, female, NA, stage:T1NXM0, dead, 2365 days
607.9
U1213
73 years, female, NA, stage:T2N0M0, alive, 560 days
606.3
U1086
73 years, female, NA, stage:T1N0M0, alive, 2907 days
600.8
U1041
81 years, male, NA, stage:T2N0M0, alive, 1108 days
597.9
U0249
75 years, female, NA, stage:T4N2M0, dead, 874 days
594.9
U1102
77 years, male, NA, stage:T2N0M0, alive, 1354 days
589.6
U0411
59 years, female, NA, stage:T3N1M0, alive, 1868 days
588.0
U0082
85 years, female, NA, stage:T3N1M0, dead, 2339 days
587.6
U0424
56 years, male, NA, stage:T3N0M0, alive, 2192 days
587.2
U0472
32 years, male, NA, stage:TXN2M0, alive, 542 days
585.1
U0385
65 years, male, NA, stage:T3N0M0, alive, 902 days
571.5
U0221
77 years, male, NA, stage:T3N0M0, alive, 569 days
566.2
U0102
87 years, female, NA, stage:T4N2M0, dead, 670 days
554.6
U1446
53 years, female, NA, stage:T3N0M0, alive, 2314 days
545.6
U0073
87 years, male, NA, stage:T4N0MX, dead, 318 days
535.8
U0365
68 years, female, NA, stage:T4N1M0, dead, 313 days
535.5
U0156
82 years, female, NA, stage:T4N1M0, alive, 1573 days
525.6
U0074
89 years, female, NA, stage:T3N0M0, dead, 1438 days
500.2
U1059
77 years, male, NA, stage:T3N1M0, alive, 2790 days
492.2
U1034
80 years, male, NA, stage:T4N0M0, alive, 1575 days
492.1
U0002
82 years, female, NA, stage:T3N2M0, alive, 3691 days
482.6
U1183
73 years, male, NA, stage:T4N2M0, alive, 959 days
464.0
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.
RPL36 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
2340.0
Number of samples
88
Samples
Sample
Description
pTPM
TCGA-DC-6155-01A
31 years, female, white, stage:Stage IIIA, alive, 425 days
13216.0
TCGA-EI-6883-01A
63 years, male, white, stage:Stage IIC, alive, 350 days
6286.5
TCGA-DC-4745-01A
49 years, female, white, stage:Stage IIIB, alive, 639 days
5158.9
TCGA-EI-7002-01A
58 years, male, white, stage:Stage IV, alive, 364 days
4201.5
TCGA-AG-3591-01A
66 years, female, stage:Stage IIA, alive, 1035 days
4143.9
TCGA-AG-3902-01A
61 years, male, stage:Stage IIA, alive, 974 days
3528.2
TCGA-DY-A1DD-01A
77 years, female, white, stage:Stage IIIB, dead, 1741 days
3510.1
TCGA-AF-A56L-01A
48 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
3437.6
TCGA-DY-A0XA-01A
57 years, female, white, stage:Stage IIA, alive, 3846 days
3407.7
TCGA-F5-6863-01A
71 years, female, white, stage:Stage IIIB, dead, 361 days
3300.6
TCGA-DC-6154-01A
57 years, female, white, stage:Stage IVA, alive, 365 days
3247.4
TCGA-F5-6814-01A
57 years, male, white, stage:Stage IIA, alive, 1131 days
2921.4
TCGA-DY-A1H8-01A
77 years, female, white, stage:Stage IIIA, dead, 992 days
2888.9
TCGA-DC-6681-01A
70 years, female, white, stage:Stage IVA, alive, 790 days
2821.2
TCGA-AH-6643-01A
50 years, male, white, stage:Stage IIIC, dead, 1314 days
2798.1
TCGA-DC-5337-01A
69 years, male, white, stage:Stage I, alive, 792 days
2752.5
TCGA-AF-4110-01A
77 years, male, white, stage:Stage IVA, alive, 912 days
2741.2
TCGA-EF-5830-01A
54 years, male, white, stage:Stage IIB, alive, 106 days
2720.9
TCGA-AF-6136-01A
72 years, female, white, stage:Stage IIIB, alive, 741 days
2715.6
TCGA-DC-6682-01A
57 years, male, white, stage:Stage IIA, alive, 762 days
2622.7
TCGA-G5-6572-01A
56 years, male, white, stage:'--, dead, 1432 days
2604.6
TCGA-EI-7004-01A
37 years, female, white, stage:'--, alive, 257 days
2522.0
TCGA-AF-6672-01A
43 years, male, white, stage:Stage IV, alive, 748 days
2516.7
TCGA-EI-6917-01A
33 years, male, white, stage:Stage IIIA, alive, 531 days
2498.9
TCGA-G5-6641-01A
67 years, male, white, stage:Stage IIIA, alive, 804 days
2494.1
TCGA-AH-6644-01A
73 years, male, white, stage:'--, alive, 838 days
2491.4
TCGA-CI-6622-01A
74 years, male, white, stage:Stage IIB, alive, 1362 days
2472.3
TCGA-F5-6864-01A
74 years, female, white, stage:Stage IIIB, alive, 379 days
2445.7
TCGA-F5-6571-01A
62 years, female, white, stage:Stage IIA, alive, 1288 days
2439.8
TCGA-EI-6881-01A
60 years, male, white, stage:Stage IIIA, alive, 499 days
2349.0
TCGA-AF-2690-01A
76 years, female, white, stage:Stage IIIC, dead, 524 days
2347.1
TCGA-AH-6544-01A
60 years, male, white, stage:'--, alive, 1173 days
2334.1
TCGA-DY-A1DC-01A
72 years, female, white, stage:Stage IIA, dead, 1258 days
2329.1
TCGA-AF-2693-01A
75 years, male, white, stage:Stage I, alive, 1155 days
2322.4
TCGA-F5-6813-01A
70 years, male, white, stage:Stage IIIC, dead, 598 days
2302.5
TCGA-AF-A56K-01A
56 years, male, black or african american, stage:Stage IIA, alive, 2635 days
2277.1
TCGA-AG-3592-01A
68 years, male, stage:Stage IIA, alive, 1035 days
2239.2
TCGA-EI-6512-01A
64 years, female, white, stage:Stage IIIB, alive, 538 days
2185.6
TCGA-EI-6510-01A
77 years, female, white, stage:'--, alive, 556 days
2131.8
TCGA-DC-6157-01A
48 years, male, black or african american, stage:Stage I, alive, 1581 days
2114.0
TCGA-AF-3911-01A
48 years, male, white, stage:Stage IIIC, alive, 1148 days
2111.0
TCGA-AG-4022-01A
59 years, female, stage:Stage II, alive, 1400 days
2092.4
TCGA-CI-6621-01A
63 years, male, white, stage:Stage IIIB, alive, 419 days
2070.5
TCGA-EI-6514-01A
59 years, female, white, stage:Stage IIA, alive, 496 days
2038.4
TCGA-G5-6233-01A
74 years, male, white, stage:'--, dead, 556 days
2029.4
TCGA-DC-6683-01A
43 years, male, white, stage:Stage IIIB, alive, 762 days
2022.8
TCGA-CI-6620-01A
41 years, female, white, stage:Stage IVA, alive, 1009 days
2019.8
TCGA-DC-5869-01A
62 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2001.2
TCGA-EI-6507-01A
60 years, male, white, stage:Stage IIA, alive, 607 days
1984.7
TCGA-AF-5654-01A
73 years, female, white, stage:Stage I, dead, 512 days
1974.4
TCGA-F5-6861-01A
60 years, female, white, stage:Stage IIA, alive, 1160 days
1974.2
TCGA-AH-6903-01A
46 years, male, white, stage:Stage IIIB, alive, 592 days
1961.9
TCGA-F5-6811-01A
72 years, female, white, stage:Stage IIA, alive, 979 days
1955.5
TCGA-CL-4957-01A
79 years, female, stage:'--, dead, 425 days
1929.4
TCGA-AF-6655-01A
66 years, male, white, stage:Stage IIIA, alive, 609 days
1926.6
TCGA-AG-3732-01A
78 years, female, stage:Stage I, alive, 1003 days
1923.0
TCGA-EI-6506-01A
78 years, female, white, stage:Stage IIA, alive, 625 days
1894.3
TCGA-EF-5831-01A
72 years, male, white, stage:Stage IIA, alive, 127 days
1887.9
TCGA-AF-A56N-01A
47 years, female, black or african american, stage:Stage IIA, alive, 360 days
1877.2
TCGA-DY-A1DG-01A
75 years, male, white, stage:Stage IVA, dead, 1566 days
1835.8
TCGA-EI-6884-01A
71 years, male, white, stage:Stage IIIA, alive, 328 days
1833.8
TCGA-DC-6160-01A
68 years, male, white, stage:Stage I, alive, 1339 days
1829.3
TCGA-BM-6198-01A
73 years, male, white, stage:Stage IIIB, alive, 646 days
1798.4
TCGA-AG-3742-01A
85 years, female, stage:Stage I, alive, 30 days
1760.2
TCGA-AH-6897-01A
48 years, male, white, stage:Stage I, alive, 804 days
1753.3
TCGA-CL-5917-01A
71 years, female, white, stage:Stage IIIC, alive, 2376 days
1698.2
TCGA-EI-6511-01A
52 years, male, white, stage:Stage IIIB, alive, 482 days
1652.8
TCGA-DT-5265-01A
51 years, male, asian, stage:Stage II, alive, 384 days
1647.2
TCGA-F5-6812-01A
67 years, male, white, stage:Stage IIA, alive, 1110 days
1621.5
TCGA-F5-6464-01A
77 years, female, white, stage:Stage IIIC, dead, 303 days
1562.5
TCGA-AG-4021-01A
84 years, female, stage:Stage IV, dead, 121 days
1549.0
TCGA-F5-6465-01A
64 years, female, white, stage:Stage IIA, alive, 1506 days
1511.9
TCGA-G5-6235-01A
72 years, male, white, stage:Stage IIIB, alive, 1696 days
1506.9
TCGA-DC-6158-01A
70 years, male, white, stage:Stage I, dead, 334 days
1484.9
TCGA-AG-3731-01A
65 years, male, stage:Stage IV, alive, 1126 days
1470.5
TCGA-EI-6508-01A
48 years, female, white, stage:Stage IIIB, alive, 636 days
1412.2
TCGA-AH-6549-01A
66 years, male, white, stage:'--, alive, 532 days
1400.0
TCGA-DC-6156-01A
62 years, male, white, stage:Stage IVA, alive, 943 days
1339.2
TCGA-DY-A1DE-01A
56 years, female, white, stage:Stage IIA, alive, 3932 days
1320.9
TCGA-DC-4749-01A
57 years, male, white, stage:Stage I, alive, 762 days
1313.6
TCGA-F5-6702-01A
71 years, male, white, stage:Stage IVA, dead, 869 days
1254.9
TCGA-EI-6885-01A
57 years, female, white, stage:Stage IV, alive, 415 days
1206.8
TCGA-AF-2687-01A
57 years, male, white, stage:Stage IIIC, alive, 1427 days
1187.2
TCGA-EI-6882-01A
59 years, male, white, stage:Stage IIA, alive, 262 days
1179.2
TCGA-EI-6509-01A
53 years, male, white, stage:Stage IIIC, alive, 517 days
1139.0
TCGA-AH-6547-01A
79 years, female, white, stage:'--, dead, 76 days
1125.6
TCGA-EI-6513-01A
59 years, male, white, stage:Stage IIIB, alive, 497 days
1102.9
TCGA-DY-A1DF-01A
73 years, female, white, stage:Stage IIIC, dead, 734 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.
RPL36 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
890.2
Number of samples
207
Samples
Sample
Description
pTPM
U0077
86 years, female, NA, stage:T2N0M0, dead, 588 days
1861.2
U0359
64 years, male, NA, stage:T3N2M0, dead, 2443 days
1849.6
U0638
52 years, male, NA, stage:T2N0M0, alive, 1801 days
1842.2
U0802
70 years, male, NA, stage:T3N2M1, dead, 338 days
1805.6
U0562
58 years, female, NA, stage:T3N1M0, alive, 3092 days
1781.7
U3049
72 years, male, NA, stage:T2N0M0, alive, 533 days
1670.0
U0114
84 years, male, NA, stage:T3N0M0, alive, 1910 days
1456.0
U0431
59 years, female, NA, stage:T3N1M0, alive, 695 days
1450.3
U3023
63 years, female, NA, stage:T2N0M0, alive, 404 days
1423.3
U0805
65 years, male, NA, stage:T3N1M1, dead, 731 days
1421.0
U0276
73 years, male, NA, stage:T3N1M1, alive, 934 days
1412.3
U0645
60 years, male, NA, stage:T3N0M0, alive, 1567 days
1380.8
U0591
81 years, male, NA, stage:T2N0M0, alive, 1023 days
1379.3
U0174
81 years, male, NA, stage:T3N0M0, alive, 450 days
1378.8
U0120
80 years, female, NA, stage:T3N0M0, alive, 3233 days
1357.9
U0695
85 years, male, NA, stage:T3N0M0, alive, 566 days
1348.1
U0213
71 years, male, NA, stage:T3N1M0, alive, 3018 days
1339.1
U0539
66 years, male, NA, stage:T4N2M0, alive, 2017 days
1336.6
U0334
64 years, male, NA, stage:T3N1M0, alive, 3171 days
1330.6
U0658
75 years, male, NA, stage:T3N2M0, alive, 1108 days
1329.0
U0079
86 years, male, NA, stage:T4N2M0, dead, 1891 days
1323.2
U0641
61 years, female, NA, stage:T3N0M0, dead, 1626 days
1310.9
U0294
73 years, male, NA, stage:T4N0M1, alive, 561 days
1308.3
U0364
67 years, female, NA, stage:T4N2M1, dead, 151 days
1299.0
U0030
82 years, female, NA, stage:T2N0M0, dead, 987 days
1285.1
U0466
40 years, male, NA, stage:T3N0M0, alive, 1381 days
1284.5
U2943
79 years, male, NA, stage:T3N0M0, alive, 189 days
1262.6
U0296
67 years, male, NA, stage:T3N0M0, alive, 2610 days
1214.5
U0595
71 years, male, NA, stage:T2N0M0, alive, 2535 days
1211.0
U0512
65 years, male, NA, stage:T3N0M0, alive, 2550 days
1201.1
U0492
63 years, male, NA, stage:T3N2M0, alive, 1114 days
1187.8
U0243
69 years, female, NA, stage:T3N2M0, alive, 2975 days
1183.0
U0220
76 years, male, NA, stage:T2N0M0, alive, 1066 days
1172.0
U0230
70 years, female, NA, stage:T1N1M0, alive, 3152 days
1171.0
U0750
64 years, female, NA, stage:T3N2M0, dead, 1393 days
1165.4
U0415
56 years, male, NA, stage:T3N1M0, alive, 2526 days
1143.3
U0484
55 years, male, NA, stage:T4N2M0, alive, 1275 days
1099.4
U0865
72 years, female, NA, stage:T3N1M1, dead, 856 days
1095.8
U0793
80 years, male, NA, stage:T3N1M1, dead, 195 days
1095.5
U0282
70 years, male, NA, stage:T3N2M0, dead, 1869 days
1092.8
U0657
46 years, female, NA, stage:T2N0M0, dead, 1109 days
1091.0
U0418
60 years, male, NA, stage:T4N1M0, alive, 1246 days
1089.5
U0293
67 years, male, NA, stage:T3N1M0, alive, 2717 days
1085.1
U0605
74 years, male, NA, stage:T2N0M0, alive, 952 days
1076.7
U0353
62 years, female, NA, stage:T1N0M0, alive, 2912 days
1055.0
U0132
82 years, male, NA, stage:T3N1M0, alive, 1798 days
1052.2
U0322
67 years, male, NA, stage:T4N2M0, alive, 1694 days
1046.0
U0538
73 years, female, NA, stage:T3N1M0, alive, 1308 days
1044.3
U0852
36 years, male, NA, stage:T3N2M1, alive, 1651 days
1042.4
U0485
74 years, male, NA, stage:T3N0M0, dead, 2737 days
1041.4
U0654
72 years, male, NA, stage:T3N2M0, alive, 1220 days
1039.4
U0331
64 years, male, NA, stage:T3N1M1, dead, 906 days
1038.9
U0642
87 years, male, NA, stage:T3N0M0, alive, 1603 days
1038.4
U0096
88 years, female, NA, stage:T4N2M1, dead, 257 days
1034.7
U0080
86 years, female, NA, stage:T3N0M0, dead, 489 days
1034.7
U0555
60 years, male, NA, stage:T3N2M0, alive, 2043 days
1028.0
U0391
64 years, female, NA, stage:T3N0M0, alive, 1179 days
1027.9
U0194
79 years, male, NA, stage:T3N1M0, alive, 680 days
1026.8
U0366
67 years, male, NA, stage:T3NXM1, alive, 895 days
1024.9
U2955
50 years, male, NA, stage:T3N1M0, alive, 181 days
1023.9
U0258
73 years, male, NA, stage:T4N1M2, dead, 195 days
1022.9
U0228
76 years, male, NA, stage:T2N0M0, alive, 963 days
1015.7
U0147
78 years, female, NA, stage:T3N0M0, dead, 2085 days
1013.0
U0470
39 years, female, NA, stage:T2N2M0, alive, 961 days
1010.5
U0579
65 years, female, NA, stage:T4aN0M0, alive, 2845 days
1008.3
U0814
80 years, female, NA, stage:T3N1M1, dead, 482 days
1006.5
U0422
56 years, female, NA, stage:T3N2M1, dead, 1710 days
1004.4
U0640
64 years, male, NA, stage:T2N0M0, alive, 1696 days
999.7
U0643
58 years, female, NA, stage:T2N1M0, dead, 1583 days
993.8
U0545
62 years, male, NA, stage:T3N0M0, alive, 2340 days
991.3
U0603
73 years, male, NA, stage:T2N1M0, alive, 1904 days
990.8
U0553
68 years, female, NA, stage:T3N2M0, alive, 1704 days
977.8
U0776
62 years, male, NA, stage:T4N2M0, alive, 1702 days
977.4
U0502
65 years, male, NA, stage:T4N1M0, alive, 1065 days
974.7
U0128
86 years, female, NA, stage:T3N1M0, alive, 449 days
967.8
U0671
93 years, male, NA, stage:T3N1M0, dead, 785 days
966.0
U0434
54 years, male, NA, stage:T2N0M0, alive, 2558 days
964.1
U0535
54 years, female, NA, stage:T4N1M0, alive, 2473 days
963.0
U0578
42 years, male, NA, stage:T2N2M0, alive, 1724 days
961.1
U0374
65 years, female, NA, stage:T2N0M0, alive, 1067 days
947.8
U0848
86 years, male, NA, stage:T3N1M1, dead, 1185 days
940.8
U0343
69 years, female, NA, stage:T2N0M0, alive, 701 days
937.7
U0849
81 years, female, NA, stage:T4N0M1, dead, 267 days
927.7
U0558
63 years, female, NA, stage:T3N2M0, alive, 2011 days
924.1
U0498
72 years, female, NA, stage:T4N1M0, alive, 1906 days
915.2
U2761
74 years, female, NA, stage:T3N1M0, alive, 447 days
915.2
U0284
73 years, male, NA, stage:T3N2M0, alive, 581 days
914.2
U2991
77 years, female, NA, stage:T1N0M0, alive, 135 days
914.0
U2960
52 years, male, NA, stage:T3N1M0, alive, 176 days
898.1
U0116
85 years, male, NA, stage:T3N1M0, dead, 930 days
897.9
U0238
73 years, male, NA, stage:T3N0M0, dead, 868 days
897.6
U0458
49 years, male, NA, stage:T3N2M0, alive, 1073 days
895.9
U0663
78 years, female, NA, stage:T3N1M0, alive, 762 days
881.7
U2764
65 years, male, NA, stage:T3N2M0, alive, 440 days
879.5
U0803
68 years, female, NA, stage:T3N1M1, dead, 495 days
877.2
U0694
85 years, male, NA, stage:T4N0M0, dead, 489 days
871.1
U0649
67 years, male, NA, stage:T2N0M0, alive, 1424 days
868.1
U0241
76 years, female, NA, stage:T2N1M0, alive, 552 days
866.8
U0430
55 years, male, NA, stage:T3N2M0, dead, 2472 days
863.6
U0648
65 years, female, NA, stage:T3N0M0, alive, 1415 days
861.4
U0371
62 years, female, NA, stage:T3N0M0, alive, 2688 days
861.1
U0686
77 years, female, NA, stage:T4bN0M0, dead, 123 days
860.0
U0532
72 years, male, NA, stage:T3N0M0, dead, 730 days
853.1
U0594
71 years, male, NA, stage:T3N0M0, alive, 2852 days
850.0
U0299
71 years, female, NA, stage:T4N2M0, alive, 43426 days
848.4
U3047
70 years, male, NA, stage:T3N2M0, alive, 205 days
846.5
U0651
70 years, male, NA, stage:T3N0M0, alive, 1354 days
844.3
U0255
68 years, female, NA, stage:T3N2M0, dead, 1079 days
842.3
U0405
63 years, male, NA, stage:T3N1M0, alive, 829 days
842.0
U0251
71 years, male, NA, stage:T2N0M0, alive, 1906 days
842.0
U0437
57 years, male, NA, stage:T1N1M0, alive, 849 days
839.3
U0652
76 years, male, NA, stage:T3N0M0, alive, 1319 days
838.1
U0325
67 years, male, NA, stage:T3N0M0, dead, 1947 days
836.7
U0406
58 years, female, NA, stage:T4N2M1, dead, 778 days
831.3
U0407
59 years, male, NA, stage:T3N1M0, dead, 2027 days
829.5
U0279
74 years, male, NA, stage:T2N1M0, dead, 176 days
827.4
U0601
75 years, female, NA, stage:T4N1M0, alive, 1368 days
825.7
U0857
76 years, male, NA, stage:T4N2M1, dead, 954 days
821.5
U0339
64 years, male, NA, stage:T3N2M0, alive, 2155 days
819.6
U0565
84 years, male, NA, stage:T4N1M0, alive, 1452 days
812.7
U0216
72 years, male, NA, stage:T2N0M0, alive, 2684 days
811.9
U2779
74 years, male, NA, stage:T3N0M0, alive, 419 days
802.5
U0305
66 years, male, NA, stage:T3N1M0, alive, 2676 days
800.4
U0519
69 years, male, NA, stage:T4N2M0, dead, 519 days
799.3
U0311
70 years, female, NA, stage:T3N1M0, alive, 1176 days
795.9
U0577
59 years, female, NA, stage:T3N2M0, alive, 2474 days
794.0
U0637
56 years, male, NA, stage:T3N1M0, alive, 1997 days
792.2
U0508
70 years, male, NA, stage:T3N1M0, alive, 1120 days
773.1
U0552
67 years, male, NA, stage:T3N2M0, alive, 1701 days
770.5
U0173
77 years, male, NA, stage:T2N0M0, dead, 2375 days
769.6
U0514
52 years, female, NA, stage:T2N2M0, alive, 2799 days
768.7
U2834
70 years, male, NA, stage:T3N1M0, alive, 323 days
764.4
U0088
86 years, male, NA, stage:T3N1M1, dead, 260 days
763.0
U0494
73 years, male, NA, stage:T4N2M0, alive, 1290 days
762.8
U0468
38 years, female, NA, stage:T3N0M0, alive, 1921 days
760.8
U0576
69 years, male, NA, stage:T3N2M0, alive, 2540 days
751.4
U0666
59 years, male, NA, stage:T3N1M0, alive, 709 days
750.8
U0557
51 years, female, NA, stage:T3N2M0, alive, 2009 days
750.2
U0511
92 years, female, NA, stage:T3N0M0, dead, 2387 days
749.8
U0232
71 years, female, NA, stage:T2N0M0, dead, 994 days
748.2
U0604
67 years, male, NA, stage:T3N1M0, alive, 1522 days
746.8
U0155
77 years, male, NA, stage:T2N0M0, dead, 1672 days
740.6
U0861
62 years, female, NA, stage:T4N2M1, dead, 184 days
737.9
U0212
77 years, male, NA, stage:T3N0M1, alive, 1330 days
729.4
U0593
74 years, male, NA, stage:T4bN0M0, alive, 876 days
729.3
U2994
70 years, female, NA, stage:T4N1M0, alive, 132 days
728.8
U0192
76 years, male, NA, stage:T3N0M0, alive, 2081 days
726.8
U0097
83 years, male, NA, stage:T3N0M1, dead, 2903 days
726.1
U0457
50 years, male, NA, stage:T3N0M0, alive, 833 days
717.0
U0351
63 years, female, NA, stage:T3N2M0, alive, 2886 days
709.2
U0140
80 years, male, NA, stage:T3N2M0, alive, 2655 days
705.1
U0237
71 years, male, NA, stage:T3N1M0, alive, 2492 days
699.0
U0600
72 years, male, NA, stage:T3N1M0, alive, 1659 days
692.4
U0346
67 years, male, NA, stage:T4N2M0, alive, 1148 days
690.5
U0454
46 years, male, NA, stage:T3N1M0, alive, 2997 days
687.3
U0804
66 years, female, NA, stage:T3N2M1, dead, 380 days
681.0
U0001
69 years, female, NA, stage:T3N0M0, alive, 3188 days
680.9
U0561
68 years, female, NA, stage:T3N2M0, alive, 1577 days
671.3
U0423
55 years, female, NA, stage:T4N2M0, alive, 2735 days
668.5
U2836
87 years, male, NA, stage:T3N0M0, alive, 322 days
665.2
U0650
57 years, female, NA, stage:T2N2M0, alive, 1331 days
662.7
U0656
68 years, male, NA, stage:T3N2M0, alive, 1150 days
657.8
U0271
69 years, female, NA, stage:T3N1M0, alive, 2414 days
657.1
U0304
68 years, male, NA, stage:T3N2M0, alive, 2065 days
654.2
U0324
70 years, female, NA, stage:T4N1M0, alive, 938 days
651.6
U0388
61 years, male, NA, stage:T2N1M0, alive, 2186 days
645.8
U0205
72 years, female, NA, stage:T3N2M0, alive, 2984 days
639.5
U0242
69 years, male, NA, stage:T3N0M0, alive, 2950 days
636.9
U0556
66 years, male, NA, stage:T3N2M0, alive, 2037 days
629.9
U0298
72 years, male, NA, stage:T3N1M0, alive, 513 days
629.2
U0647
85 years, female, NA, stage:T3N0M0, alive, 1476 days
611.5
U2972
91 years, male, NA, stage:T3N0M0, alive, 161 days
611.0
U0820
74 years, male, NA, stage:T3NXM1, dead, 622 days
604.5
U0417
54 years, female, NA, stage:T3N2M1, dead, 893 days
603.9
U0592
90 years, female, NA, stage:T2N0M0, dead, 670 days
601.6
U0188
76 years, female, NA, stage:T3N1M0, alive, 2134 days
599.9
U0809
85 years, female, NA, stage:T3N1M1, dead, 275 days
590.6
U0137
80 years, male, NA, stage:T3N1M0, dead, 1799 days
585.4
U0800
74 years, male, NA, stage:T3N2M1, dead, 411 days
583.7
U0118
81 years, female, NA, stage:T3N2M0, dead, 350 days
579.4
U0587
47 years, male, NA, stage:T3N1M0, alive, 2107 days
579.0
U0707
59 years, male, NA, stage:T3N1M0, alive, 518 days
576.5
U0602
79 years, male, NA, stage:T2N0M0, alive, 1385 days
555.6
U0550
43 years, male, NA, stage:T3N2M0, alive, 2191 days
552.6
U0675
84 years, female, NA, stage:T4N1M0, dead, 89 days
552.2
U0497
66 years, female, NA, stage:T3N1M0, alive, 1414 days
537.8
U0478
75 years, male, NA, stage:T4N2M0, alive, 2051 days
537.7
U0581
66 years, female, NA, stage:T3N2M0, alive, 1660 days
534.9
U0409
61 years, female, NA, stage:T3N1M0, alive, 934 days
525.8
U0568
59 years, male, NA, stage:T4N1M0, alive, 1287 days
523.4
U0380
62 years, male, NA, stage:T2N0M0, alive, 2155 days
509.4
U0713
63 years, male, NA, stage:T2N0M0, alive, 359 days
509.2
U0584
66 years, male, NA, stage:T3N2M0, alive, 2705 days
487.8
U0138
80 years, male, NA, stage:T3N1M0, dead, 2472 days
482.3
U0159
79 years, female, NA, stage:T3N1M0, alive, 1517 days
474.8
U0596
61 years, male, NA, stage:T3N0M0, alive, 2233 days
448.0
U0862
75 years, male, NA, stage:T4N2M1, dead, 1064 days
442.5
U0190
75 years, male, NA, stage:T3N0M0, alive, 2367 days
437.1
U0329
70 years, male, NA, stage:T3N1M0, dead, 805 days
435.3
U0534
69 years, female, NA, stage:T3N2M0, alive, 1361 days
408.5
U0264
69 years, male, NA, stage:T4N2M0, alive, 2020 days
405.9
U0572
67 years, female, NA, stage:T3N1M0, alive, 2621 days
404.6
U0402
58 years, female, NA, stage:T3N1M0, dead, 2487 days
399.2
U0086
86 years, female, NA, stage:T3N1M0, dead, 594 days
383.6
U0533
68 years, male, NA, stage:T3N2M0, alive, 2248 days
363.1
U0542
68 years, male, NA, stage:T3N2M0, dead, 1482 days
354.8
U0093
85 years, male, NA, stage:T3N2M0, dead, 1118 days
137.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.4
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.3
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
963fc8db-f412-4427-a198-23f660_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
b2400046-1d25-429d-a821-6040a6
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.8
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.8
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
