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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.
RACK1 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
1626.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3720.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
3511.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
3055.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2838.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2830.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
2653.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
2608.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2562.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2559.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2527.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2479.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
2447.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2417.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2414.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2404.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2395.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2364.4
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
2319.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2293.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2279.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2254.6
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
2252.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2245.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
2221.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2219.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
2215.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2191.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2191.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2180.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2177.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2171.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2164.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2156.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2155.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2154.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2148.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2147.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2112.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2104.6
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2104.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2099.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2097.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2070.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
2056.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2050.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
2037.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2029.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2025.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2023.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2022.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2021.8
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2012.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1987.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1986.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1984.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1970.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1967.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1966.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1964.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1959.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1953.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1952.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1950.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1943.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1939.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1930.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1919.5
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1902.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1901.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1894.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1874.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1872.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1861.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1856.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1854.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1850.6
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1850.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1844.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1843.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1826.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1824.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1822.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1813.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1800.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1797.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1797.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1792.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1787.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1785.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1776.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1773.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1763.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1755.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1753.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1744.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1742.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1731.0
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1730.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1723.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1708.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1701.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1692.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1690.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1690.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1689.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1688.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1684.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1680.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1678.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1676.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1673.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1661.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1655.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1655.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1636.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1632.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1625.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1624.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1621.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1621.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1612.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1610.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1602.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1591.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1588.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1583.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1582.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1581.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1572.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1569.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1569.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1558.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1545.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1542.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1540.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1540.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1531.6
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1517.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1516.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1516.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1512.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1511.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1501.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1497.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1496.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1474.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1466.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1455.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1448.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1443.5
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1442.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1437.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1434.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1433.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1430.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1430.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1426.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1416.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1413.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1413.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1405.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1404.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1398.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1389.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1385.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1376.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1376.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1372.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1370.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1366.0
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1365.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1359.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1357.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1355.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1355.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1353.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1350.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1349.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1347.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1336.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1320.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1318.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1318.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1312.7
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1298.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1292.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1290.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1278.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1276.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1276.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1274.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1274.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1272.4
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1267.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1267.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1264.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1263.7
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1256.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1256.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1250.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1250.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1247.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1246.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1243.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1222.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1219.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1219.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1209.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1203.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1199.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1197.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1193.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1192.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1188.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1186.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1180.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1173.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1172.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1172.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1167.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1153.6
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1148.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1124.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1116.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1110.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1109.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1109.1
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1088.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1068.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1066.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1056.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1044.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1040.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1027.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1020.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1015.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1012.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1003.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
959.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
950.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
930.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
918.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
912.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
894.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
869.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
853.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
806.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
793.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
773.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
760.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
724.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
717.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
711.2
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.
RACK1 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
1282.7
Number of samples
486
Samples
Sample
Description
TPM
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
2956.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2875.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
2737.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
2726.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
2644.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2617.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
2507.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
2278.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
2258.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
2247.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
2234.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
2201.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
2124.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2119.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
2110.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
2100.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2092.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
2090.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
2082.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
2073.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
2046.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
2034.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
2022.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2018.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
2011.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1969.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1958.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1953.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1945.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1940.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1937.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1926.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1924.2
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1922.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1904.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1902.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1896.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1894.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
1866.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1865.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1863.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1854.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1850.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1849.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1848.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1829.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1828.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1826.0
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1818.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
1797.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1793.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1780.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1764.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1750.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1748.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1746.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1744.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1743.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1741.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1739.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1734.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1728.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1720.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1717.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1708.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1708.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1704.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1702.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1702.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1694.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1693.1
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1689.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1686.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1684.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1678.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1666.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1665.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1659.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1658.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1654.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1648.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1648.1
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1641.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1637.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1636.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1635.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1634.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1627.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1626.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1623.6
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1621.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1617.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1617.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
1617.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1616.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
1599.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1596.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1594.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1593.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1585.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1577.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1570.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1568.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1568.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1554.2
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1552.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1549.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1544.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1540.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1536.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1535.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1532.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1523.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1518.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1516.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
1512.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1510.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1506.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1500.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1500.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1500.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1498.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1489.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1480.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1477.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
1475.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1475.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1472.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1470.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1468.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1468.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1465.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1457.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1453.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
1450.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1450.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1447.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1442.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1441.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1438.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
1434.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1432.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1432.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1429.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1427.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1423.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1419.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
1418.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1414.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1411.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1411.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1409.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1408.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1406.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
1403.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1398.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1396.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1393.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1391.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
1389.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1387.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1386.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1385.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
1383.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1383.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1382.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1377.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
1376.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1373.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1372.9
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
1369.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1369.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1368.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
1365.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1361.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1361.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1359.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1357.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1356.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1356.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1354.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1354.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1351.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1349.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1348.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1347.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1347.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1347.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1345.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1344.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1340.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
1340.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1336.5
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1334.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1332.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1331.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
1331.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1330.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1326.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1324.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1321.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1319.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1319.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1314.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1314.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1309.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
1304.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
1303.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1301.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1299.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1297.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1297.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1297.0
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1296.4
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1291.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1291.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1288.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1286.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
1285.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1279.3
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1279.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1278.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1273.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1273.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1273.5
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1273.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1272.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
1271.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
1269.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1262.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1261.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1261.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1260.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1259.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
1259.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1258.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1256.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1256.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1255.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1255.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1251.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
1250.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1248.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1246.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
1245.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1245.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1243.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1243.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1242.5
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1240.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1233.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1231.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1229.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1229.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1227.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1226.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1224.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1224.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
1224.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
1222.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1220.2
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1220.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1218.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1218.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
1211.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1207.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1205.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1202.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1201.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
1200.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1197.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1194.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1192.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
1187.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1185.9
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1184.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1183.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1183.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1182.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1181.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1178.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1177.6
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
1176.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1171.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1171.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
1170.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
1165.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1162.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1162.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1158.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1154.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1152.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1149.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1147.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1146.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1144.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1141.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1140.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1137.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1137.6
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1137.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1133.9
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1129.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1129.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1128.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1122.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1122.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1122.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1112.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1111.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
1110.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
1104.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1104.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
1103.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
1102.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
1099.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
1098.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1097.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1096.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1095.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1093.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1090.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1090.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1088.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
1088.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
1087.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
1085.4
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1082.5
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
1080.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
1076.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1074.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1072.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
1067.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1063.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1062.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1060.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1059.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1055.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
1055.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
1054.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
1049.1
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1048.8
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1048.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1048.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1046.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1043.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1039.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1037.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1035.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1029.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1018.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1016.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1011.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1010.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
1009.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1009.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1008.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1008.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1003.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1003.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
997.9
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
997.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
996.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
995.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
992.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
986.9
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
986.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
982.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
977.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
976.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
976.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
975.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
974.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
969.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
967.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
965.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
964.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
961.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
957.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
955.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
953.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
951.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
948.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
945.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
943.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
941.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
936.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
936.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
934.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
934.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
933.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
930.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
929.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
927.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
921.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
921.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
916.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
912.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
911.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
910.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
901.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
899.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
898.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
897.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
895.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
894.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
894.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
894.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
893.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
892.2
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
889.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
889.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
889.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
886.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
886.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
885.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
884.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
884.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
883.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
880.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
876.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
874.1
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
873.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
864.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
862.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
858.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
855.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
851.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
848.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
846.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
845.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
843.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
841.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
839.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
838.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
838.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
836.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
830.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
829.9
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
829.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
827.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
818.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
811.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
806.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
801.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
801.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
801.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
799.6
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
796.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
785.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
785.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
784.9
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
781.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
779.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
778.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
774.0
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
774.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
773.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
766.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
765.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
760.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
760.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
759.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
752.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
743.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
737.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
727.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
726.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
724.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
718.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
712.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
709.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
705.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
696.5
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
690.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
689.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
668.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
651.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
596.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
595.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
595.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
593.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
584.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
459.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
23.0
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.
RACK1 is not prognostic in Rectum Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
1631.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3659.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
3260.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
3232.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
3117.9
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2391.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2317.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2304.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
2289.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2286.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2223.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
2218.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2138.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
2106.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2102.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2094.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2057.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2040.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
2008.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1989.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1945.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1938.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1907.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1904.2
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1884.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
1877.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1873.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1781.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1776.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1771.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1756.3
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1750.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1744.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1723.6
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1722.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1706.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1698.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1695.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1690.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1672.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1664.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1638.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1628.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1619.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1598.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1591.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1581.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1569.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1566.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1558.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1489.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1484.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1479.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1462.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1455.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1437.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1432.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1432.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1431.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1408.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1389.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1351.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1342.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1341.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1339.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1333.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1303.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1261.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1258.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1244.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1205.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1196.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1172.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1169.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1122.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1071.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1012.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
988.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
949.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
941.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
941.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
927.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
921.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
907.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
856.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
833.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
770.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
684.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 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.
RACK1 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
1115.9
Number of samples
207
Samples
Sample
Description
TPM
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
2916.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
2585.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
2480.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
2272.8
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
2236.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
2099.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
1978.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1972.7
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1883.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1868.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1854.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1824.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1790.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1771.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1770.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1753.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1745.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1708.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1689.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1685.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1678.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1661.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1615.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1602.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1580.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
1556.7
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1547.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1543.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1528.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1524.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
1520.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1496.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1495.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1484.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
1455.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1453.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1439.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1430.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1426.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1420.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1401.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1389.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
1381.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1376.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1375.7
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1369.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1367.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1360.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1357.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1351.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
1351.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1346.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1337.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1333.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
1332.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1314.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1313.8
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1302.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1299.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1296.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1293.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
1281.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1279.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1278.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1272.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1262.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1255.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
1247.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
1243.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1239.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
1236.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1224.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1221.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
1221.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1220.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
1219.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1216.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
1194.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
1185.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
1178.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
1166.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
1153.1
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1151.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
1131.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1122.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
1121.3
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1118.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
1118.0
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
1115.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1111.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
1110.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
1099.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1096.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1082.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1082.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
1081.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
1078.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
1077.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1077.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
1069.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
1066.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
1064.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
1055.0
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
1053.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1052.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1050.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
1040.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
1032.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
1028.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1024.3
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1023.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1022.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
1012.8
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
1011.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1010.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1002.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
1000.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
995.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
979.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
972.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
966.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
959.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
958.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
955.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
946.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
941.3
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
936.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
922.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
913.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
912.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
907.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
904.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
893.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
893.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
892.9
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
890.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
885.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
884.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
884.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
881.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
878.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
876.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
871.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
868.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
854.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
853.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
849.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
846.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
842.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
827.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
826.3
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
824.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
821.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
816.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
810.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
798.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
794.0
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
786.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
785.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
782.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
776.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
773.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
760.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
757.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
755.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
752.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
751.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
746.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
745.0
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
744.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
741.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
735.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
735.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
732.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
731.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
727.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
724.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
723.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
716.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
707.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
707.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
706.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
704.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
704.4
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
698.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
694.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
692.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
689.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
687.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
679.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
659.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
658.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
651.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
627.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
627.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
603.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
599.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
596.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
591.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
586.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
567.4
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
553.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
552.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
544.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
528.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
518.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
43.9
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.0
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.6
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.6
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.6
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.