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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.
RPS27A 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
1617.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
3444.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3390.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2963.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2960.5
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2924.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2849.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2839.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
2801.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
2764.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
2757.8
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2695.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
2601.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2540.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2531.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2508.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2448.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2436.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2435.3
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2401.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2397.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
2385.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2351.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
2347.2
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
2310.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
2298.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
2236.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
2224.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2162.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2147.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2145.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
2137.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2102.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
2079.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
2067.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
2051.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2049.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
2039.8
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
2028.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
2018.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2016.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2007.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2002.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1985.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1985.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1974.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1966.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1963.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1960.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1948.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1947.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1934.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1922.9
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1892.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1891.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1874.9
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1863.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1861.1
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1860.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1858.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1857.7
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1856.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1853.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1845.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1842.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1832.2
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1829.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1800.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1799.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1797.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1794.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1788.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1775.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1764.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1760.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1753.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1749.9
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1744.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1741.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1739.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1734.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1727.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1726.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1721.3
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1716.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1708.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1698.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1691.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1687.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1684.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1678.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1675.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1673.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1668.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1665.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1664.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1661.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1660.5
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1658.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1655.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1649.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1646.8
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1645.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1642.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1634.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1632.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1630.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1627.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1622.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1621.6
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1618.5
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1617.8
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1606.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1605.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1604.0
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1603.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1596.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1590.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1586.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1586.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1581.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1581.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
1580.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1574.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1572.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1561.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1557.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1557.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1555.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1554.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1551.6
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1549.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1548.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1546.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1545.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1532.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1522.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1517.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1513.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1507.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1505.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1502.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1500.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1491.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1489.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1488.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1485.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1474.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1470.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1469.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1460.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1459.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1454.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1453.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1450.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1448.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1448.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1434.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1423.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1422.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1416.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1414.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1414.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1413.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1406.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1405.1
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1401.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1393.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1392.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1377.7
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1375.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1371.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1369.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1363.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1360.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1357.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1351.2
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1350.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1341.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1334.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1334.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1330.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1328.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1327.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1323.6
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1321.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1320.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1319.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1319.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1313.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1313.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1312.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1311.5
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1303.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1300.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1294.5
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1288.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1287.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1280.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1273.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1272.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1267.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1253.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1251.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1247.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1244.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1242.1
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1234.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1222.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1221.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1218.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1212.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1211.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1200.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1198.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1196.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1174.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1171.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1167.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1165.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1157.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1156.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1149.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1146.2
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1141.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1135.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1106.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1104.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1101.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1095.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1084.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1083.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1080.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1070.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1063.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1057.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1055.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1050.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1046.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1043.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1041.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1027.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1026.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1019.1
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1010.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
984.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
975.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
968.1
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
951.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
942.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
884.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
871.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
799.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
730.6
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.
RPS27A 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
524.2
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1100.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1032.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
1002.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
983.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
954.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
924.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
919.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
915.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
900.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
892.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
884.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
857.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
850.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
841.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
833.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
825.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
825.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
813.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
808.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
802.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
797.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
795.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
795.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
792.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
791.1
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
788.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
785.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
784.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
780.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
779.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
778.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
777.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
776.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
772.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
769.2
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
768.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
764.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
757.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
755.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
754.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
750.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
747.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
747.7
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
745.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
737.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
736.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
736.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
734.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
731.9
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
723.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
722.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
722.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
721.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
718.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
713.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
711.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
707.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
705.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
704.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
703.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
703.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
702.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
700.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
695.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
693.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
693.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
691.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
690.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
689.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
689.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
687.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
686.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
685.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
683.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
682.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
681.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
681.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
679.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
679.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
676.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
674.4
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
674.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
673.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
672.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
669.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
668.5
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
667.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
666.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
662.5
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
660.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
659.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
656.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
656.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
655.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
655.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
651.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
648.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
646.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
646.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
645.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
644.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
642.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
641.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
640.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
639.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
639.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
638.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
632.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
632.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
631.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
630.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
629.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
629.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
624.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
623.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
623.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
622.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
621.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
620.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
620.3
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
616.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
614.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
613.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
612.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
608.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
607.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
606.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
606.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
605.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
604.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
604.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
602.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
601.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
600.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
599.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
598.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
598.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
598.3
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
597.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
597.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
595.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
594.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
593.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
592.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
591.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
590.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
589.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
588.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
588.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
588.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
588.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
587.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
586.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
586.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
585.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
585.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
585.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
585.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
584.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
583.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
582.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
581.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
581.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
577.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
576.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
574.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
574.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
572.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
572.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
571.7
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
571.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
570.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
569.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
568.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
566.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
562.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
562.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
561.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
560.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
559.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
559.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
558.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
557.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
557.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
557.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
556.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
555.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
555.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
552.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
551.9
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
550.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
549.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
549.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
548.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
548.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
546.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
546.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
544.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
544.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
543.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
543.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
540.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
540.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
540.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
538.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
538.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
537.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
537.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
537.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
534.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
533.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
532.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
529.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
526.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
525.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
524.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
522.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
522.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
522.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
522.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
521.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
521.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
521.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
521.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
521.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
520.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
519.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
519.6
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
519.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
513.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
513.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
513.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
512.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
511.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
511.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
510.2
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
509.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
509.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
507.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
507.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
506.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
503.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
503.0
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
502.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
502.3
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
501.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
501.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
500.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
498.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
497.6
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
497.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
496.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
496.5
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
496.3
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
496.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
495.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
495.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
494.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
493.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
493.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
492.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
491.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
490.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
490.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
490.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
489.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
488.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
487.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
487.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
486.7
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
485.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
485.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
485.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
484.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
479.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
478.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
478.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
478.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
478.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
477.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
477.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
475.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
474.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
473.9
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
473.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
473.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
473.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
472.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
471.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
471.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
471.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
470.0
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
469.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
469.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
469.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
468.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
468.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
467.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
466.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
465.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
463.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
462.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
462.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
461.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
461.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
460.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
460.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
459.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
457.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
457.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
457.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
455.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
455.1
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
454.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
454.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
452.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
451.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
450.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
450.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
449.8
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
448.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
447.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
446.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
445.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
444.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
443.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
442.9
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
442.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
442.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
441.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
439.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
437.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
436.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
435.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
434.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
433.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
433.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
433.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
432.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
432.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
432.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
432.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
431.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
430.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
429.9
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
427.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
426.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
425.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
424.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
423.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
423.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
421.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
420.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
419.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
419.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
418.9
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
418.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
417.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
417.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
415.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
414.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
414.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
413.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
412.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
411.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
410.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
410.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
409.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
409.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
409.2
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
408.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
408.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
407.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
405.3
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
402.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
400.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
400.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
400.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
400.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
400.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
399.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
398.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
398.8
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
398.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
398.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
396.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
395.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
394.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
394.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
393.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
392.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
392.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
391.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
391.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
388.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
387.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
387.0
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
386.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
386.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
384.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
384.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
384.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
383.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
382.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
381.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
381.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
380.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
380.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
377.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
376.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
376.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
376.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
375.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
374.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
372.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
372.0
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
371.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
370.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
370.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
369.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
369.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
368.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
368.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
367.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
366.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
364.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
364.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
363.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
362.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
362.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
361.3
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
359.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
358.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
358.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
356.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
355.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
354.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
354.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
353.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
353.2
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
349.9
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
345.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
340.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
337.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
335.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
335.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
335.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
335.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
335.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
333.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
330.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
330.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
329.7
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
328.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
325.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
323.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
323.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
322.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
319.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
317.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
315.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
308.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
307.1
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
306.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
304.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
301.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
297.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
296.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
293.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
290.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
289.9
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
284.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
281.2
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
279.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
278.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
273.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
265.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
264.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
259.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
249.2
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
248.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
235.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
228.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
221.1
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.
RPS27A 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
1612.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3186.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2675.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
2628.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
2606.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
2335.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2297.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2242.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
2154.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2152.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2149.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
2130.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2092.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2084.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2054.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2026.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
2026.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1992.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1972.6
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1967.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1967.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1952.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1869.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1863.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1852.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1812.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1799.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1778.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1763.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1722.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1720.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1704.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1699.8
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1693.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1691.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1655.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1652.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1645.1
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1625.9
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1620.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1607.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1581.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1563.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1561.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1561.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1551.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1546.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1536.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1533.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1524.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1522.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1506.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1503.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1467.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1463.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1447.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1441.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1437.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1426.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1413.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1412.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1393.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1368.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1350.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1349.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1347.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1331.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1324.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1281.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1280.7
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1261.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1247.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1246.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
1238.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1229.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1214.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1198.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1138.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1112.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1104.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1084.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1078.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1045.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1043.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
989.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
890.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
866.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
812.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS27A 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
445.2
Number of samples
207
Samples
Sample
Description
TPM
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1410.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1230.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1147.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
881.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
780.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
779.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
747.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
732.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
731.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
731.0
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
684.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
670.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
664.2
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
663.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
643.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
637.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
628.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
622.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
622.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
621.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
606.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
592.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
590.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
590.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
589.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
584.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
582.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
581.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
574.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
560.8
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
560.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
558.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
554.1
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
551.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
545.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
542.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
534.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
534.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
534.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
532.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
532.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
529.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
528.6
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
523.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
519.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
519.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
518.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
518.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
517.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
515.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
510.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
507.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
505.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
502.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
500.9
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
500.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
500.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
498.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
497.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
493.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
491.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
486.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
485.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
483.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
480.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
479.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
477.0
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
474.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
473.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
473.3
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
472.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
472.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
469.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
469.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
468.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
466.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
465.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
465.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
465.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
464.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
460.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
459.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
453.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
453.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
452.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
451.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
449.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
444.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
442.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
440.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
436.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
434.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
434.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
430.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
427.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
425.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
421.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
420.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
419.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
419.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
418.6
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
418.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
417.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
417.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
417.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
416.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
414.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
413.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
413.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
413.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
413.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
413.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
412.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
412.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
410.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
409.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
409.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
408.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
407.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
406.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
405.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
405.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
404.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
403.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
402.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
401.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
401.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
401.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
397.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
395.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
394.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
391.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
390.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
390.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
390.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
389.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
384.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
383.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
381.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
381.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
379.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
377.2
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
377.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
374.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
373.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
373.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
370.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
370.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
369.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
369.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
365.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
364.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
363.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
362.4
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
360.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
359.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
354.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
351.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
350.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
348.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
347.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
344.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
332.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
330.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
329.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
329.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
327.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
325.8
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
325.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
324.4
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
322.3
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
318.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
317.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
315.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
312.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
312.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
308.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
302.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
301.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
298.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
297.0
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
293.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
290.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
290.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
286.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
284.1
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
282.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
280.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
279.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
279.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
276.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
273.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
271.4
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
271.2
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
265.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
260.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
258.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
253.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
251.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
238.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
231.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
229.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
228.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
217.4
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
216.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
194.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
25.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.3
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Tumor
0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.3
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Normal
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.3
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.1
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Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
-0.1
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Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
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Normal
-0.1
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Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
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Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
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Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
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Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
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Normal
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.2
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Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
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Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
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Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
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Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
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Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
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Tumor
-0.6
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Tumor
-0.7
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-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.