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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.
MYL6 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
1534.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
4111.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
3509.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
3404.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2855.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
2804.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2632.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2544.1
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
2507.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2486.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2485.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2385.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
2369.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2260.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
2250.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2220.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2201.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2190.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2181.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2159.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
2153.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2147.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2145.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2140.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2125.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
2118.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2108.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
2104.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2097.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2096.1
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
2092.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
2063.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
2062.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
2052.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
2051.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2040.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2015.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
2005.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
2000.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1963.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1948.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1948.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1927.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1911.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1910.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1904.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1902.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1878.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1872.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1854.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1839.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1839.2
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1830.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1823.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1823.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1821.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1814.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1791.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1789.1
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1786.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1782.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1769.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1764.0
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1763.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1742.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1739.0
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1738.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1735.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1728.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1727.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1701.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1700.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1700.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1694.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1689.8
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1688.8
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1684.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1680.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1680.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1659.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1657.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1657.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1648.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1648.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1646.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1645.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1643.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1637.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1637.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1631.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1620.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1617.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
1612.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1611.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1611.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1597.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1595.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1592.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1586.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1585.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1582.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1582.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1579.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1567.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1559.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1557.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1555.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1553.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1551.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1543.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1542.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1530.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1525.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1519.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1518.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1517.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1514.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1514.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1511.2
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1508.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1507.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1503.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1502.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1500.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1497.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1495.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1491.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1489.0
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1485.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1479.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1478.8
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1477.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1470.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1469.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1462.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1460.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1453.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1447.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1444.0
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1442.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1433.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1421.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1420.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1412.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1411.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1410.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1404.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1403.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1399.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1396.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1396.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1375.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1374.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1365.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1364.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1357.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1354.8
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1353.5
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1353.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1352.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1350.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1348.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1347.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1346.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1339.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1331.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1330.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1330.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1325.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1323.5
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1313.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1309.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1306.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1299.0
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1292.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1288.6
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1282.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1275.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1268.7
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1265.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1260.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1259.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1258.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1250.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1233.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1231.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1225.1
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1224.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1224.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1222.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1222.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1214.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1209.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1209.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1208.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1207.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1189.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1185.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1179.3
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1176.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1172.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1167.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1167.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1164.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1162.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1161.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1160.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1159.3
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1156.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1156.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1147.7
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1147.4
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1139.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1132.7
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1130.5
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1130.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1118.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1105.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1087.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1082.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1081.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1074.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1073.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1064.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1064.4
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1059.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
1059.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1046.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1039.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1035.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1034.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1030.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1022.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1019.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1018.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1008.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1005.3
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
998.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
997.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
982.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
933.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
922.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
918.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
894.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
886.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
879.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
865.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
849.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
824.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
812.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
800.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
763.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
735.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
550.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 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.
MYL6 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
534.5
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
946.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
945.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
900.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
897.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
888.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
885.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
881.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
851.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
851.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
850.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
844.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
837.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
827.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
826.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
803.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
799.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
798.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
781.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
774.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
770.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
767.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
766.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
765.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
764.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
760.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
757.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
750.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
748.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
747.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
745.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
740.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
735.4
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
734.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
734.4
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
734.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
730.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
729.0
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
725.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
714.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
714.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
713.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
710.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
709.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
707.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
706.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
705.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
704.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
704.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
703.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
702.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
701.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
697.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
697.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
696.8
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
693.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
693.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
692.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
690.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
690.4
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
688.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
687.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
687.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
684.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
683.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
682.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
681.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
680.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
678.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
676.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
668.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
668.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
666.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
665.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
665.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
662.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
662.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
660.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
659.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
659.2
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
656.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
656.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
654.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
653.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
653.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
653.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
653.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
652.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
651.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
650.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
650.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
648.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
647.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
646.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
645.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
645.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
644.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
643.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
643.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
642.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
641.3
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
641.1
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
640.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
639.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
639.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
637.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
637.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
636.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
634.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
632.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
632.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
632.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
631.9
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
629.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
627.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
627.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
626.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
625.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
624.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
623.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
622.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
622.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
618.4
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
618.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
618.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
617.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
617.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
617.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
616.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
615.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
611.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
611.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
610.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
609.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
609.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
607.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
607.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
606.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
604.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
603.5
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
603.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
602.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
601.6
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
601.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
600.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
599.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
598.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
597.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
597.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
597.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
596.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
595.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
594.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
593.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
592.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
589.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
587.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
587.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
586.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
586.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
583.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
582.3
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
581.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
580.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
579.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
578.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
578.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
577.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
575.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
575.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
575.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
574.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
570.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
570.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
570.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
569.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
568.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
567.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
567.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
566.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
566.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
566.4
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
565.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
565.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
565.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
565.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
565.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
563.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
563.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
563.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
562.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
560.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
560.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
559.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
559.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
558.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
558.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
557.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
557.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
557.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
556.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
553.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
552.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
552.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
551.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
551.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
551.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
551.2
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
551.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
549.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
549.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
549.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
548.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
548.7
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
547.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
546.4
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
545.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
544.7
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
544.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
544.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
544.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
543.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
542.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
541.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
540.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
539.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
539.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
538.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
538.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
538.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
537.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
537.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
537.1
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
535.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
534.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
530.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
528.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
528.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
528.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
527.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
526.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
526.2
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
524.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
524.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
524.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
522.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
521.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
521.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
520.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
520.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
520.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
519.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
519.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
517.7
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
517.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
517.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
517.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
517.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
516.8
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
516.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
516.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
514.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
511.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
509.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
509.6
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
508.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
508.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
507.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
506.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
505.8
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
505.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
505.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
505.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
503.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
502.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
501.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
500.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
500.7
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
499.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
499.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
498.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
497.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
497.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
496.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
495.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
494.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
494.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
494.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
494.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
493.9
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
493.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
493.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
492.6
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
491.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
491.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
490.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
490.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
490.1
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
489.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
489.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
487.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
487.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
486.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
486.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
484.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
483.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
482.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
482.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
482.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
480.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
480.6
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
480.2
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
480.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
480.0
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
479.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
479.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
479.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
478.8
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
477.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
476.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
474.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
473.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
472.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
472.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
472.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
472.6
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
472.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
471.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
469.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
469.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
468.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
468.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
467.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
467.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
467.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
466.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
466.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
466.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
465.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
464.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
463.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
463.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
460.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
458.7
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
458.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
458.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
458.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
458.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
457.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
455.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
454.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
454.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
454.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
452.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
452.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
452.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
452.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
451.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
450.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
450.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
449.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
448.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
448.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
448.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
446.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
446.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
446.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
445.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
445.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
444.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
442.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
442.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
442.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
442.1
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
441.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
441.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
441.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
440.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
438.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
438.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
438.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
435.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
434.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
429.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
429.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
429.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
428.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
426.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
426.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
426.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
425.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
425.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
425.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
425.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
424.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
423.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
420.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
418.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
418.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
418.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
418.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
418.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
416.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
414.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
414.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
414.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
413.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
411.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
411.4
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
411.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
410.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
410.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
410.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
409.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
405.9
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
405.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
404.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
403.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
402.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
402.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
400.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
400.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
399.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
399.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
397.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
395.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
393.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
391.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
390.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
390.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
390.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
389.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
389.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
387.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
385.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
385.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
382.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
381.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
379.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
377.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
376.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
375.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
375.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
372.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
371.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
370.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
368.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
368.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
367.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
366.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
366.0
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
365.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
364.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
361.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
360.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
357.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
352.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
351.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
350.9
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
348.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
348.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
347.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
343.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
342.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
335.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
330.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
323.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
322.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
318.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
314.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
310.6
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
307.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
301.4
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
300.0
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
298.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
295.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
283.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
281.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
278.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
276.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
272.4
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
272.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
263.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
261.7
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
241.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
28.4
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.
MYL6 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
1476.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
3279.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
2742.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
2660.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
2639.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2295.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
2205.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2134.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2112.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2071.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
2007.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
2006.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1938.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1837.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1775.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1752.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1751.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1728.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1721.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1701.3
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1681.3
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1675.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1668.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1661.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1623.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1605.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1585.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1579.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1573.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1569.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1567.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1555.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1535.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1513.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1507.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1504.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1501.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1491.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1477.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1464.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1449.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1439.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1435.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1432.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1413.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1385.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1375.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1355.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1352.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1340.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1333.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1325.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1324.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1321.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1319.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1317.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1312.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1308.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1299.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1299.3
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1295.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1270.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1264.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1247.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1246.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1241.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1231.1
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1228.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1217.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1205.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1157.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1140.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1116.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1115.0
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1095.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1095.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1038.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1022.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1019.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1009.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
985.8
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
976.7
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
943.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
908.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
885.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
875.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
818.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
735.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
MYL6 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
470.0
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
914.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
849.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
848.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
824.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
822.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
799.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
765.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
727.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
723.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
692.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
672.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
661.1
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
661.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
649.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
645.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
640.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
638.5
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
631.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
625.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
613.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
608.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
605.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
604.1
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
602.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
597.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
595.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
594.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
594.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
588.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
581.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
580.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
574.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
572.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
572.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
570.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
563.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
563.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
561.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
560.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
559.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
558.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
557.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
557.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
552.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
551.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
551.0
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
542.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
538.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
535.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
533.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
525.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
524.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
524.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
521.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
521.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
521.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
517.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
516.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
516.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
513.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
512.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
512.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
510.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
510.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
507.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
506.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
504.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
504.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
502.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
501.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
501.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
496.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
496.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
494.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
493.8
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
493.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
492.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
492.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
491.6
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
491.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
489.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
484.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
484.0
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
481.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
480.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
480.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
479.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
476.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
476.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
475.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
473.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
472.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
471.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
470.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
469.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
469.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
468.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
468.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
467.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
467.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
466.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
465.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
465.2
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
463.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
463.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
463.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
462.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
462.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
462.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
460.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
460.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
459.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
456.3
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
453.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
453.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
452.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
450.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
449.0
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
448.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
446.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
445.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
444.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
441.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
441.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
441.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
440.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
439.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
438.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
437.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
434.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
431.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
429.9
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
428.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
426.0
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
423.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
422.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
420.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
419.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
419.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
417.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
415.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
412.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
411.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
409.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
407.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
406.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
406.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
405.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
404.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
402.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
400.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
398.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
392.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
391.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
389.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
385.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
385.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
383.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
380.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
380.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
377.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
375.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
375.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
373.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
373.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
367.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
365.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
364.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
363.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
362.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
361.1
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
360.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
360.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
359.4
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
359.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
357.4
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
351.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
351.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
350.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
349.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
347.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
346.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
341.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
339.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
336.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
333.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
332.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
331.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
325.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
322.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
318.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
317.0
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
316.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
306.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
305.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
303.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
302.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
299.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
284.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
279.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
268.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
266.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
266.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
265.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
259.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
253.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
20.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
1.9
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
1.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
1.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
1.6
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
1.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
1.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
1.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
1.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
1.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
1.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
1.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
1.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
1.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
1.2
82157a70-12f1-4913-b548-d98881_D2
Normal
1.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
1.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
1.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
1.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.0
411d9597-c785-4de5-b449-29a80d_D2
Normal
1.0
16ac8458-5200-4302-9ad0-b311df_D2
Normal
1.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
1.0
41a04113-2061-4923-bca5-da586c_D2
Normal
1.0
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.9
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.9
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.9
1c070992-647b-4173-a481-904c4d_D2
Normal
0.9
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.9
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.9
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.9
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.8
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.7
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.7
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.7
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.6
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.4
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.5
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.5
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.6
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.7
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.7
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.8
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.8
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.8
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.8
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.8
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.8
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.8
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.8
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.8
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.9
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.9
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.9
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.9
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.9
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.9
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.9
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.9
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.9
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.9
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-1.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-1.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.0
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-1.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-1.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-1.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-1.0
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-1.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-1.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-1.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-1.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-1.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-1.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-1.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-1.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-1.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-1.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-1.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-1.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.3
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-1.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-1.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.3
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-1.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.4
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.