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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.
KRT18 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
1481.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
6566.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
5629.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
5413.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
4724.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3297.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3244.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
3189.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3144.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
3123.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
2916.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2842.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
2834.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2823.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2817.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
2764.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2664.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
2550.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2547.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
2503.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2458.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2447.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2433.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
2421.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2418.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2415.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2411.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2335.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2294.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2294.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2255.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2253.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2235.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2226.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2223.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2176.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2167.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2167.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
2133.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2124.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2082.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
2075.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2073.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2066.6
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2040.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2034.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
2031.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
2021.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1983.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1971.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1962.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1959.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1943.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1941.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1939.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1919.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1901.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1892.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1888.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1878.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1848.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1818.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1784.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1774.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1761.9
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1753.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1740.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1730.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1725.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1715.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1708.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1707.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1700.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1698.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1686.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1676.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1658.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1657.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1653.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1649.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1648.9
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1645.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1635.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1621.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1617.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1613.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1609.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1589.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1584.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1571.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1567.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1564.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1564.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1560.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1553.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1550.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1547.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1542.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1538.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1537.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1534.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1531.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1531.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1529.0
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1515.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1511.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1507.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1506.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1498.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1497.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1497.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1490.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1482.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1458.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1454.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1452.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1451.8
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1443.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1436.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1422.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
1422.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1419.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1416.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1392.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1389.3
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1387.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1379.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1379.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1356.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1338.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1333.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1329.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1321.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1296.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1294.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1294.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1292.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1285.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1270.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1269.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1267.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1254.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1247.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1239.1
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1233.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1229.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1229.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1227.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1226.8
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1225.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1225.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1218.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1208.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1184.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1184.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1183.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1166.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1162.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1149.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1146.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1145.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1141.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1141.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1136.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1122.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1116.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1115.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1099.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1097.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1090.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1080.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1076.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1075.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1071.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1052.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1048.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1046.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1037.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1031.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1029.1
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1000.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
990.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
988.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
985.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
983.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
982.9
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
973.8
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
972.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
961.2
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
957.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
954.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
953.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
946.3
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
933.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
932.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
931.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
928.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
925.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
919.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
917.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
910.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
907.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
900.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
895.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
895.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
868.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
865.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
841.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
840.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
830.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
830.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
820.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
819.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
803.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
794.0
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
793.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
792.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
779.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
772.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
771.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
753.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
751.2
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
746.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
745.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
742.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
742.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
733.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
732.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
718.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
712.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
706.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
686.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
682.7
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
661.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
649.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
645.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
628.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
625.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
621.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
614.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
563.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
540.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
534.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
526.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
515.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
514.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
497.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
477.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
474.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
447.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
405.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
391.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
302.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
246.1
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
KRT18 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
862.7
Number of samples
486
Samples
Sample
Description
TPM
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
2365.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2254.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
2197.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
2074.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1989.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1944.5
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1932.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1918.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1905.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
1899.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1885.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1855.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1851.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
1846.1
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1831.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1793.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1773.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1719.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1687.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1686.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1685.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1683.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1670.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1648.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1633.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1614.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1603.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1600.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1594.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1574.0
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
1571.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1565.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1562.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1559.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1544.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1532.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1512.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1507.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1503.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1495.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1483.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1481.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1478.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1465.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1442.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1441.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1441.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1433.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1428.0
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1427.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1421.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1409.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1392.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1387.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1386.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1385.2
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1383.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1380.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1374.6
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1351.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1344.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
1339.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1335.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1325.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1318.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1315.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
1311.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1308.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1308.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1308.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1307.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1304.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1301.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1294.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1287.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1285.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1283.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1282.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1282.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
1280.4
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1278.9
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1276.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
1275.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1263.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1254.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1237.0
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1233.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1229.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1223.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1222.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1216.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1216.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1214.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1206.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1204.3
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1192.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1183.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1178.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1173.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1171.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1161.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1159.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1158.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1156.7
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1150.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1137.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1130.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1129.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1120.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1119.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1115.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1111.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1108.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1093.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1084.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1084.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1082.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1080.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1078.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1074.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1072.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1071.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1070.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1066.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1066.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1059.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1057.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1041.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1039.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1039.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1037.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1037.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1033.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1030.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1021.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1015.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1015.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1013.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1013.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1009.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1008.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1006.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1003.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
998.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
992.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
991.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
985.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
984.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
983.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
982.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
981.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
980.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
978.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
975.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
975.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
974.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
973.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
970.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
966.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
964.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
963.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
959.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
950.4
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
949.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
948.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
946.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
944.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
941.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
941.1
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
940.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
939.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
936.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
935.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
933.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
931.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
930.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
930.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
929.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
928.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
927.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
921.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
919.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
911.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
910.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
908.7
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
906.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
906.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
901.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
897.7
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
894.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
894.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
893.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
891.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
891.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
890.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
888.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
888.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
886.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
883.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
882.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
881.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
881.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
879.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
869.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
867.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
864.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
862.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
861.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
861.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
861.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
860.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
859.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
854.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
854.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
850.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
850.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
849.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
845.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
841.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
837.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
837.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
830.9
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
829.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
822.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
821.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
821.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
820.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
813.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
809.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
808.3
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
805.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
802.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
802.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
801.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
797.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
794.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
792.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
790.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
789.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
786.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
782.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
780.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
775.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
771.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
770.9
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
770.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
768.2
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
767.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
766.0
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
766.0
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
765.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
761.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
761.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
760.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
760.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
759.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
759.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
759.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
758.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
749.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
749.2
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
749.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
749.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
748.1
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
748.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
747.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
746.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
744.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
740.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
735.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
732.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
729.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
728.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
726.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
724.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
722.2
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
720.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
720.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
720.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
719.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
719.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
717.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
717.8
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
715.8
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
711.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
706.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
704.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
703.0
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
701.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
700.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
700.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
695.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
693.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
692.0
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
689.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
684.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
682.8
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
681.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
679.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
677.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
676.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
676.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
675.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
674.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
674.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
671.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
665.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
665.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
664.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
663.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
659.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
657.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
656.6
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
652.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
650.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
649.9
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
648.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
645.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
643.9
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
642.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
642.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
641.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
635.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
633.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
629.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
628.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
627.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
625.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
625.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
624.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
624.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
622.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
620.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
619.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
614.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
614.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
613.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
612.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
610.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
609.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
606.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
605.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
604.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
603.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
602.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
601.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
597.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
596.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
595.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
594.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
594.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
592.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
582.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
581.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
581.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
581.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
580.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
579.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
577.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
574.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
574.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
574.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
572.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
571.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
568.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
566.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
565.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
564.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
563.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
562.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
559.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
558.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
557.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
557.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
557.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
556.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
555.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
554.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
554.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
551.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
549.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
545.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
543.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
543.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
541.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
539.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
537.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
537.7
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
535.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
534.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
534.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
532.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
530.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
529.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
529.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
526.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
525.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
524.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
519.7
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
516.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
515.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
512.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
510.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
509.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
509.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
503.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
500.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
496.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
495.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
494.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
489.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
488.8
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
485.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
483.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
481.8
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
481.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
480.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
475.4
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
471.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
470.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
467.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
459.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
451.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
447.0
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
445.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
442.0
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
440.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
435.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
434.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
433.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
430.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
427.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
427.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
424.6
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
422.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
422.0
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
421.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
420.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
420.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
418.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
412.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
410.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
407.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
406.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
399.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
397.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
397.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
395.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
394.2
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
392.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
390.8
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
390.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
385.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
383.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
381.5
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
381.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
379.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
377.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
370.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
368.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
368.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
366.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
364.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
361.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
359.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
358.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
348.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
344.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
340.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
340.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
335.5
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
335.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
330.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
323.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
322.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
304.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
299.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
288.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
253.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
233.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
218.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
216.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
187.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
179.5
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
93.2
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.
KRT18 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
1266.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3406.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
3351.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
3018.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
3017.9
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2719.9
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2429.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2400.9
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2160.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2095.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2088.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2079.0
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2054.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1947.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1841.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
1773.7
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1734.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1662.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1565.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1550.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1506.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1502.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1456.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1441.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1424.5
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1401.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1397.7
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1365.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1355.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1336.8
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1332.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1312.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1281.5
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1267.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1252.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1217.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1215.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1212.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1207.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1188.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1174.5
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1174.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1162.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1119.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1099.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1093.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1088.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1083.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1051.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1046.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
992.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
990.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
975.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
973.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
971.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
938.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
919.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
910.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
908.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
903.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
887.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
876.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
874.3
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
871.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
851.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
850.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
847.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
846.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
842.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
841.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
825.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
794.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
767.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
764.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
758.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
739.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
723.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
713.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
711.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
709.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
683.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
649.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
618.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
611.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
592.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
577.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
495.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
487.4
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.
KRT18 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
707.2
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
4800.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
1587.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1519.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1497.8
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1450.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1440.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1440.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1419.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1405.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1397.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1394.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1375.8
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1359.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1350.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1319.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1298.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1280.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1267.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1256.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1203.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1160.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1144.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1127.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1107.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1092.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1077.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1064.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
1062.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1058.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1055.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1049.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1033.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
999.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
986.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
985.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
962.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
953.1
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
933.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
927.1
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
918.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
910.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
906.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
905.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
889.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
883.2
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
862.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
860.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
848.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
847.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
846.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
839.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
836.0
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
831.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
830.6
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
828.6
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
827.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
823.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
812.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
806.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
803.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
799.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
788.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
785.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
784.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
780.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
775.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
774.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
771.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
770.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
767.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
765.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
764.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
760.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
756.5
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
751.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
746.1
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
746.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
743.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
742.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
737.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
732.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
729.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
726.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
724.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
718.7
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
714.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
713.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
705.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
704.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
702.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
699.0
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
697.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
695.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
688.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
687.7
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
687.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
686.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
681.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
677.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
667.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
652.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
648.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
647.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
639.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
637.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
636.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
635.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
635.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
623.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
619.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
618.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
616.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
615.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
609.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
604.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
601.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
600.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
595.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
591.9
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
589.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
582.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
570.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
567.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
558.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
555.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
555.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
553.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
552.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
550.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
541.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
541.3
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
539.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
535.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
533.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
529.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
525.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
520.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
519.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
517.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
517.3
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
507.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
507.4
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
506.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
506.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
499.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
499.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
495.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
489.1
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
480.1
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
479.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
478.7
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
477.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
475.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
472.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
468.0
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
467.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
459.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
458.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
457.4
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
455.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
444.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
440.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
437.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
420.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
419.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
418.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
415.3
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
411.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
407.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
405.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
403.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
402.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
402.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
401.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
398.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
394.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
391.4
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
389.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
376.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
376.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
364.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
363.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
348.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
345.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
334.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
329.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
328.6
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
315.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
314.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
309.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
299.8
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
289.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
287.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
277.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
258.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
258.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
253.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
244.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
240.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
219.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
206.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
205.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
204.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
198.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
190.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
146.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
60.7
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
2.4
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
1.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
1.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.9
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.9
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.8
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.8
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.7
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.6
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.6
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.5
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.3
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
43192517-085e-450e-9481-0a6713_D3
Tumor
0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.0
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.4
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.5
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.5
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.5
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.5
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.5
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.5
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.5
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.5
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.6
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.6
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.6
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.6
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.6
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.6
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.7
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.7
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.7
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.7
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.7
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.7
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.7
b2400046-1d25-429d-a821-6040a6
Tumor
-0.7
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.7
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.7
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.7
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.7
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.8
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.8
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.8
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.8
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.9
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-1.0
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-1.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-1.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-1.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
-1.0
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-1.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.5
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.8
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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.