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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.
RPS5 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
1659.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8058.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
5000.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
4938.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
4301.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
4219.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
3953.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
3672.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
3279.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
3194.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
3157.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
3109.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
3010.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2994.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2955.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2879.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2855.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2766.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2606.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
2519.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2518.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2500.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2408.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2396.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2395.1
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2360.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
2357.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2308.6
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2253.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2233.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
2230.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2228.0
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2202.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2195.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2179.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2173.8
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
2148.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
2123.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2117.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2117.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2093.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2056.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2053.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
2052.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2036.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2024.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1969.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1967.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1964.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1951.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1931.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1929.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1918.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1917.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1912.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1899.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1895.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1890.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1876.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1874.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1871.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1869.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1866.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1854.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1849.3
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1848.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1847.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1841.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1831.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1824.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1798.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1797.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1793.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1770.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1764.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1760.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1755.6
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1742.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1741.1
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1739.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1735.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1729.4
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1722.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1722.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1721.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1719.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1710.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1707.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1697.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1676.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1671.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1668.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1666.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1661.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1659.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1654.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1647.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1639.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1630.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1629.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1628.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1627.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1627.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1618.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1611.7
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1608.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1607.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1605.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1605.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1600.3
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1595.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1590.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1589.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1585.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1575.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1572.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1571.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1570.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1569.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1568.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1561.2
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1558.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1540.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1539.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1535.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1529.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1524.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1516.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1514.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1503.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1503.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1501.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1497.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1496.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1492.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1491.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1490.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1487.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1482.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1479.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1475.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1460.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1450.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1446.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1440.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1439.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1438.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1438.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1436.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1435.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1429.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1424.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1407.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1407.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1405.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1404.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1401.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1398.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1397.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1387.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1375.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1370.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1368.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1366.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1363.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1360.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1357.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1352.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1351.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1347.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1340.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1331.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1330.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1324.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1322.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1315.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1313.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1307.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1300.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1297.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1297.1
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1294.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1264.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1261.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1261.0
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1255.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1249.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1239.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1233.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1230.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1222.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1222.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1216.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1216.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1212.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1209.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1209.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1206.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1204.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1192.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1192.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1189.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1172.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1170.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1168.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1157.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1147.5
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1146.6
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1145.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1144.8
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1144.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1141.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1139.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1133.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1133.4
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1129.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1122.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1113.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1102.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1096.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1084.7
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1076.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1074.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1060.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1059.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1058.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1051.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1050.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1039.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1017.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1012.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1004.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
989.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
981.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
978.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
977.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
976.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
969.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
961.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
951.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
938.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
931.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
906.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
868.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
854.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
841.1
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
834.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
822.0
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
804.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
799.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
790.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
785.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
704.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
642.9
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.
RPS5 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
670.8
Number of samples
486
Samples
Sample
Description
TPM
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
3473.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1523.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1414.3
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1390.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1292.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1280.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1270.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1217.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1211.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
1190.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1188.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1182.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1181.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1164.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
1161.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1153.9
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1138.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1125.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1119.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1117.6
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1117.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1114.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
1103.5
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1095.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1095.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1092.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1079.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1075.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1068.0
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
1066.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1064.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1058.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1056.5
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1055.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1054.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
1052.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1046.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1041.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1007.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1004.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1003.3
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
993.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
986.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
974.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
972.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
969.5
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
961.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
954.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
953.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
952.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
948.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
944.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
944.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
941.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
940.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
934.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
928.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
927.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
922.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
917.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
917.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
917.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
914.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
911.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
909.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
908.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
906.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
904.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
901.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
901.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
899.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
897.9
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
897.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
895.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
893.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
887.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
886.4
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
886.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
885.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
883.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
883.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
877.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
871.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
870.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
869.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
862.7
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
860.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
860.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
851.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
849.1
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
847.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
843.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
839.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
838.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
838.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
836.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
835.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
834.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
832.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
829.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
828.5
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
825.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
824.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
823.9
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
818.4
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
816.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
815.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
814.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
814.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
812.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
810.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
807.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
804.7
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
799.0
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
796.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
796.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
796.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
794.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
788.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
786.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
784.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
784.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
783.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
783.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
783.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
780.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
780.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
779.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
779.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
776.3
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
773.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
773.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
772.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
771.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
771.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
771.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
770.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
769.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
768.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
768.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
766.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
764.0
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
763.5
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
761.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
759.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
759.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
759.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
757.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
754.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
752.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
752.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
751.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
751.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
749.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
745.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
745.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
742.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
741.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
738.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
737.7
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
737.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
735.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
733.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
731.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
731.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
730.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
729.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
728.7
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
728.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
727.5
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
726.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
725.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
725.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
723.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
722.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
720.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
719.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
718.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
715.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
712.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
711.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
709.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
708.2
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
707.7
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
707.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
705.1
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
704.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
702.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
702.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
701.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
698.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
698.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
695.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
695.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
695.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
694.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
690.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
689.9
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
689.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
687.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
687.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
685.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
684.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
681.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
679.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
678.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
677.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
676.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
676.5
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
676.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
675.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
675.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
674.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
673.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
673.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
672.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
670.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
670.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
670.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
668.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
668.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
666.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
666.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
665.6
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
663.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
662.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
662.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
660.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
660.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
658.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
658.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
657.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
655.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
655.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
654.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
654.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
652.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
652.0
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
649.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
648.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
648.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
646.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
646.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
645.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
645.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
644.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
643.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
643.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
642.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
641.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
640.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
639.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
638.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
636.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
635.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
633.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
633.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
631.8
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
630.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
630.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
630.2
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
627.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
627.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
626.0
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
625.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
624.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
621.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
620.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
620.1
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
618.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
618.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
618.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
616.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
613.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
611.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
611.4
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
611.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
611.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
609.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
604.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
600.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
600.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
600.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
598.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
598.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
596.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
596.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
594.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
591.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
590.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
589.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
587.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
585.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
584.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
584.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
583.1
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
582.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
582.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
581.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
581.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
581.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
580.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
580.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
580.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
579.5
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
579.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
576.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
576.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
576.2
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
574.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
574.1
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
573.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
570.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
569.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
568.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
566.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
565.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
563.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
563.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
560.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
560.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
560.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
558.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
557.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
556.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
556.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
556.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
555.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
555.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
554.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
553.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
552.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
552.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
551.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
551.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
550.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
550.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
549.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
543.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
542.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
540.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
540.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
538.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
538.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
538.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
533.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
532.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
530.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
530.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
530.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
530.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
529.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
529.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
525.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
524.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
524.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
523.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
522.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
519.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
517.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
517.4
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
517.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
517.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
515.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
512.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
512.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
510.3
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
510.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
504.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
502.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
500.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
500.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
498.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
497.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
496.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
495.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
493.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
493.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
493.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
493.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
492.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
491.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
487.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
483.4
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
483.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
482.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
480.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
480.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
479.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
474.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
473.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
473.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
471.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
471.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
470.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
470.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
469.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
469.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
468.5
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
467.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
467.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
466.2
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
465.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
465.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
464.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
462.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
460.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
460.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
458.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
457.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
457.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
452.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
452.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
452.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
451.0
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
450.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
448.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
445.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
444.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
444.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
443.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
440.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
438.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
437.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
435.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
435.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
427.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
425.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
424.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
419.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
417.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
416.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
415.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
413.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
411.1
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
405.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
403.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
399.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
399.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
394.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
394.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
390.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
389.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
389.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
388.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
388.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
385.6
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
384.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
379.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
379.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
378.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
365.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
364.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
363.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
361.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
361.2
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
360.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
358.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
357.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
356.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
356.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
348.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
343.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
341.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
338.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
335.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
333.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
332.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
328.6
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
327.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
311.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
307.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
307.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
286.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
285.7
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
277.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
277.6
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
257.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
249.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
245.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
241.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
239.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
227.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
141.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
10.7
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.
RPS5 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
1589.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4798.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3810.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
3010.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
2695.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
2560.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2373.5
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2355.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2275.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2242.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2155.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2113.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
2072.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2045.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2037.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2011.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1997.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1977.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1878.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1866.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1851.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1832.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1819.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1812.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
1801.7
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1785.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1756.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1749.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1740.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1723.8
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1699.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1684.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1680.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1678.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1649.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1641.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1583.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1571.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1564.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1557.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1540.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1532.0
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1493.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1482.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1478.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1478.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1468.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1467.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1455.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1451.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1437.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1430.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1419.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1394.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1390.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1349.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1348.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1315.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1284.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1283.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1252.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1246.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1239.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1239.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1224.3
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1214.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1196.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1188.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1177.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1165.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1163.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1162.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1154.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1150.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1124.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1084.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1067.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1050.9
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1049.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1048.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1031.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
975.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
954.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
904.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
900.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
884.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
783.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
706.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 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.
RPS5 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
515.9
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1317.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1258.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1226.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1220.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1140.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1057.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1026.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1023.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1006.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
981.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
870.7
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
858.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
852.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
835.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
830.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
767.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
763.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
763.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
753.0
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
745.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
730.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
729.5
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
726.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
715.0
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
708.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
700.8
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
700.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
694.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
684.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
676.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
665.8
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
662.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
661.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
654.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
654.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
650.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
647.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
645.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
642.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
641.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
638.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
635.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
632.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
624.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
619.7
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
616.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
615.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
614.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
607.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
600.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
600.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
590.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
590.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
588.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
588.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
588.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
586.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
581.9
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
572.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
570.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
567.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
564.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
559.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
557.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
555.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
555.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
551.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
550.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
548.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
547.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
541.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
539.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
538.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
537.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
537.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
531.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
529.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
529.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
527.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
527.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
527.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
524.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
520.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
517.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
517.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
515.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
512.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
510.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
510.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
510.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
510.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
507.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
506.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
506.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
505.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
501.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
499.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
496.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
489.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
489.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
489.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
486.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
485.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
484.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
483.9
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
483.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
483.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
480.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
480.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
478.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
478.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
471.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
470.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
468.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
467.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
464.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
461.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
459.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
459.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
458.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
458.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
454.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
452.1
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
449.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
447.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
445.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
443.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
443.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
442.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
441.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
436.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
434.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
430.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
426.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
426.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
426.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
423.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
420.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
418.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
416.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
415.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
415.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
415.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
415.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
407.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
406.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
404.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
404.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
399.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
395.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
394.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
392.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
390.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
389.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
388.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
387.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
386.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
385.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
384.7
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
382.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
381.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
381.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
377.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
377.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
376.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
371.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
370.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
364.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
364.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
363.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
362.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
358.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
355.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
351.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
348.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
344.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
336.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
334.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
324.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
322.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
322.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
321.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
320.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
316.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
314.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
313.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
312.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
307.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
304.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
299.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
298.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
297.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
295.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
293.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
289.5
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
281.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
279.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
276.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
274.2
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
268.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
265.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
265.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
253.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
245.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
196.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
172.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
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Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
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Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
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Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
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Tumor
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Tumor
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
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Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.4
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.6
b2400046-1d25-429d-a821-6040a6
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.