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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.
RPS10 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2237.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5160.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5001.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4559.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
4304.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
4280.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
4073.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
4052.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3909.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
3840.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3743.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
3624.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
3532.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3528.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
3526.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3498.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3492.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3466.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3460.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3425.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
3420.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
3332.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
3301.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
3172.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3148.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3099.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
3082.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
3050.8
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
3039.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3013.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2991.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2986.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2939.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2934.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2933.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2932.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2921.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2860.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2848.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2845.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2810.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2777.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2759.3
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2733.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
2727.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2717.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2693.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2678.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
2674.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2670.5
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2663.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2658.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2648.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2629.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
2622.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2621.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
2606.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2571.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
2570.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2556.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
2544.1
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2537.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2537.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
2534.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2531.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2528.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
2524.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2479.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2474.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2467.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2457.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
2455.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2450.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2443.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2435.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2420.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2419.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2404.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
2403.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2385.2
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2380.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2379.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2371.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2356.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2334.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2319.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2317.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
2316.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2311.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2310.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
2310.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2305.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2294.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2291.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2290.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2282.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2275.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2275.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2273.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2264.0
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
2255.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2245.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
2240.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2236.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2230.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
2228.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2225.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
2218.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
2215.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2210.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
2180.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
2168.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
2163.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2161.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2157.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
2157.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
2156.7
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2153.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2149.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2144.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
2141.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2132.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
2126.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
2126.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2126.2
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2119.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2118.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2117.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2105.0
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2103.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2099.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
2098.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2097.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2097.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2096.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2095.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2094.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
2089.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2078.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
2077.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
2077.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2076.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2075.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2062.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
2058.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2058.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
2046.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2045.9
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
2045.1
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2043.3
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2039.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2036.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
2035.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2028.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
2025.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1991.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1990.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1983.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1977.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1967.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1957.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1954.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1952.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1952.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1949.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1946.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1943.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1943.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1937.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1926.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1921.0
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1918.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1916.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1905.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1900.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1899.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1889.6
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1881.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1875.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1855.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1851.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1847.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1843.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1836.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1829.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1811.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1810.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1803.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1782.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1773.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1772.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1765.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1764.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1759.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1759.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1757.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1751.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1744.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1734.9
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1729.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1723.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1713.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1707.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1700.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1698.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1684.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1680.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1678.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1676.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1660.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1659.6
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1646.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1645.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1642.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1641.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1631.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1623.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1611.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1597.9
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1592.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1585.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1585.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1580.5
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1563.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1560.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1556.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1544.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1544.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1543.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1539.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1534.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1533.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1525.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1523.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1521.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1510.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1501.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1475.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1468.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1452.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1427.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1406.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1398.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1362.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1342.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1338.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1330.4
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1313.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1304.3
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1291.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1259.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1247.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1219.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1104.4
TCGA-G4-6321-01A
0 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.
RPS10 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
849.0
Number of samples
486
Samples
Sample
Description
TPM
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1726.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1683.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1630.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1607.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1579.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1575.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1565.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1537.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1534.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1494.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1483.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1475.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1463.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
1432.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1432.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1403.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1400.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1396.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1368.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1367.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1357.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1327.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1277.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1271.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1269.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1268.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1256.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1256.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1255.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1255.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1244.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1244.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1243.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1242.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1238.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1237.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1220.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1214.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1206.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1203.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1199.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1192.9
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1188.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1181.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1178.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1177.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1174.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
1168.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1168.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1163.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1156.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1156.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1139.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1136.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1135.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1133.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1132.4
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1131.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1129.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1125.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1116.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1115.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1113.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1113.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1112.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1112.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1106.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1104.4
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1104.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1102.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1100.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1099.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1094.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1088.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1087.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1083.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1081.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1076.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1072.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1070.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1063.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1051.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1051.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1047.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1046.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1046.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1044.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1040.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1038.2
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1036.6
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1034.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1031.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1030.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1026.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1025.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
1024.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1024.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1023.3
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1022.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
1017.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1015.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1014.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
1012.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1007.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1004.2
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1003.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1002.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1002.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1002.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1002.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
1001.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
999.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
997.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
993.6
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
992.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
991.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
991.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
990.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
988.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
986.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
985.9
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
984.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
982.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
982.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
981.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
981.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
980.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
974.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
974.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
972.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
967.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
966.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
964.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
964.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
963.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
961.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
961.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
961.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
961.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
958.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
957.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
956.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
956.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
955.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
952.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
947.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
947.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
946.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
946.6
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
945.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
943.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
942.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
942.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
941.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
939.6
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
939.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
939.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
937.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
933.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
932.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
928.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
927.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
927.3
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
926.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
926.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
925.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
925.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
924.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
921.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
920.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
919.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
917.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
916.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
915.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
914.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
914.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
913.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
913.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
912.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
911.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
911.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
910.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
908.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
907.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
906.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
906.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
904.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
902.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
901.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
901.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
900.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
899.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
899.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
895.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
895.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
893.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
892.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
891.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
891.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
889.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
888.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
885.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
884.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
884.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
883.6
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
882.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
881.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
880.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
880.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
877.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
875.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
873.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
872.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
872.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
871.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
870.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
870.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
869.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
862.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
862.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
862.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
862.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
860.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
855.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
854.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
851.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
851.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
850.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
849.5
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
848.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
848.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
847.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
847.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
846.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
845.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
845.2
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
844.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
843.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
842.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
840.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
840.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
837.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
836.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
836.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
833.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
833.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
832.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
832.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
830.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
830.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
829.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
829.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
827.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
826.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
822.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
817.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
815.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
814.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
813.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
812.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
812.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
811.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
810.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
810.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
805.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
804.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
804.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
803.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
803.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
803.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
802.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
802.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
802.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
801.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
801.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
799.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
795.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
793.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
793.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
792.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
789.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
788.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
787.1
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
787.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
786.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
783.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
783.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
782.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
781.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
781.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
781.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
780.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
778.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
775.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
774.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
773.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
769.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
768.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
766.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
764.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
762.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
760.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
760.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
757.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
756.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
755.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
754.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
752.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
746.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
745.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
743.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
741.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
738.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
736.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
735.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
735.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
734.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
734.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
733.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
729.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
728.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
728.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
728.6
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
727.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
726.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
726.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
726.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
726.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
724.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
721.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
721.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
717.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
716.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
716.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
716.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
714.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
711.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
711.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
705.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
705.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
703.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
700.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
698.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
696.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
695.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
695.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
695.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
693.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
693.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
692.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
691.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
690.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
688.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
688.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
680.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
679.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
677.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
677.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
676.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
675.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
674.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
673.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
673.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
672.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
671.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
671.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
670.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
669.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
668.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
667.4
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
666.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
666.5
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
665.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
662.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
661.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
660.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
658.7
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
658.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
657.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
657.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
656.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
653.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
650.4
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
649.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
648.3
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
647.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
647.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
645.5
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
643.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
640.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
640.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
639.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
638.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
636.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
635.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
633.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
631.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
630.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
630.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
628.9
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
625.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
624.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
622.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
618.4
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
616.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
612.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
606.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
603.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
602.2
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
600.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
599.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
596.6
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
594.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
593.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
593.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
593.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
593.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
593.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
592.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
591.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
590.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
587.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
585.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
580.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
578.8
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
578.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
577.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
576.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
576.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
575.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
575.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
573.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
573.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
569.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
564.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
562.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
561.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
560.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
560.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
559.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
557.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
552.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
548.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
547.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
547.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
545.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
542.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
540.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
540.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
539.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
538.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
532.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
529.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
528.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
527.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
524.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
523.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
521.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
521.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
520.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
518.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
514.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
512.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
496.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
495.2
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
485.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
484.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
473.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
465.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
461.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
440.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
439.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
439.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
430.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
424.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
420.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
408.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
406.0
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
405.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
397.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
372.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
355.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
345.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
317.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
31.5
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS10 is potential prognostic, high expression is favorable in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
2312.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6199.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5517.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
4301.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
4300.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
4186.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
4074.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3779.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3536.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
3293.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3287.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
3220.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3027.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2976.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2970.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
2950.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
2923.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2856.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2833.8
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2757.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
2675.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
2645.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
2603.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2587.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2585.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2572.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
2507.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2497.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2473.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2415.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2348.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2310.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2293.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2282.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2272.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2268.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2258.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2237.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
2217.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2206.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2192.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
2191.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2184.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2173.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
2168.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
2155.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
2153.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2151.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
2135.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
2125.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
2124.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
2111.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
2108.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
2103.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
2045.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1985.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1984.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1947.4
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1938.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1929.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1907.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1878.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1859.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1852.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1807.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1784.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1779.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1739.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1696.5
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1673.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1669.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1653.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1607.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1602.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1598.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1587.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1557.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1533.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1505.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1432.9
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1430.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1405.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1351.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1336.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1315.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1157.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1079.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
883.7
TCGA-DY-A1DF-01A
0 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.
RPS10 is not prognostic in Rectum Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
680.7
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1751.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1486.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1279.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1228.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1181.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1165.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1147.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1143.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1131.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1116.3
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1057.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1042.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1010.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1006.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
999.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
988.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
986.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
975.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
962.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
958.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
949.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
940.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
926.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
923.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
904.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
893.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
891.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
889.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
882.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
878.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
876.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
859.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
856.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
842.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
838.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
838.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
832.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
827.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
821.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
820.4
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
813.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
810.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
809.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
806.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
805.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
802.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
795.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
789.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
787.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
787.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
786.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
782.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
779.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
772.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
772.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
771.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
768.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
765.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
762.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
759.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
758.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
757.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
755.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
753.4
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
748.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
747.8
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
747.7
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
745.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
745.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
736.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
733.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
728.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
722.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
719.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
718.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
716.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
714.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
711.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
710.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
709.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
709.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
709.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
708.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
705.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
701.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
700.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
699.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
692.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
688.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
683.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
680.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
677.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
675.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
674.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
673.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
667.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
665.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
664.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
661.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
659.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
659.1
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
659.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
656.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
655.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
654.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
654.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
652.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
652.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
651.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
650.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
647.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
647.3
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
641.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
641.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
641.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
639.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
639.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
631.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
631.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
628.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
627.8
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
627.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
626.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
623.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
623.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
622.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
621.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
620.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
616.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
611.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
607.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
606.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
602.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
601.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
599.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
594.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
589.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
583.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
576.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
576.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
575.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
572.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
570.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
569.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
569.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
563.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
562.9
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
560.3
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
559.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
556.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
555.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
552.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
551.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
550.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
547.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
544.4
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
543.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
541.8
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
541.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
540.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
537.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
537.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
536.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
536.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
534.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
534.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
528.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
527.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
517.3
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
504.2
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
498.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
492.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
488.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
488.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
486.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
484.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
482.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
480.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
479.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
476.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
468.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
467.8
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
467.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
453.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
452.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
442.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
438.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
431.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
427.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
422.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
421.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
420.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
418.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
415.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
399.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
375.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
370.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
369.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
363.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
355.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
349.0
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
342.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
320.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
318.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
273.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
263.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
70.8
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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
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.5
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.5
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.6
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
b2400046-1d25-429d-a821-6040a6
Tumor
-1.2
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.