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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.
KRT8 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
1967.0
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7464.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
7460.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6691.6
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
5193.0
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
4803.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
4605.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
4508.9
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
4407.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
4188.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
4134.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4085.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
4066.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
3933.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
3743.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
3650.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
3596.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
3583.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
3426.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
3378.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
3320.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
3309.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3281.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
3212.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
3176.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
3168.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
3157.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
3089.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
3072.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
3029.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3016.2
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2998.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
2976.3
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
2931.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
2918.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2875.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2855.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
2846.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
2831.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
2817.9
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
2746.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
2619.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
2611.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
2602.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2581.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2564.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
2563.5
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
2532.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
2492.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
2486.7
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
2482.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
2467.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2462.8
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2452.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
2442.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2436.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
2426.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
2423.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
2408.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2408.4
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2402.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
2397.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2387.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
2369.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
2332.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
2332.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
2325.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
2320.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2319.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
2316.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
2307.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
2280.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
2278.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
2274.1
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
2269.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
2266.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
2256.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
2247.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
2234.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
2233.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
2217.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2201.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
2197.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
2193.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
2185.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
2170.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
2166.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2156.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2152.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
2149.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2149.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
2143.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
2135.6
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2125.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
2123.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2119.2
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
2112.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
2085.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2083.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
2059.1
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
2059.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2040.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2008.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1997.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1996.3
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1980.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1977.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1977.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1973.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1961.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1955.5
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1917.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1913.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1913.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1899.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1894.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1884.4
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1878.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1874.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1869.7
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1864.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1856.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1851.0
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1840.3
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1833.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1828.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1807.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1800.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1788.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1781.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1767.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1748.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1725.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1719.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1716.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1712.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1708.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1684.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1673.9
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1669.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1666.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1648.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1627.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1613.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1611.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1608.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1605.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1605.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1598.0
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1596.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1595.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1592.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1588.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1580.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1572.2
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1567.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1553.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1551.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1551.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1536.5
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1536.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
1533.3
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1529.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1522.8
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1509.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1502.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
1501.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1485.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1479.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1478.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1470.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1462.9
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1444.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1441.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1441.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1419.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1418.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1409.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1408.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1408.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1393.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1380.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1376.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1367.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
1355.9
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1355.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1344.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1344.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1336.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1312.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1303.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1294.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1283.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1268.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1267.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1259.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1258.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
1253.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1248.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1246.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1244.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1237.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1237.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1230.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1228.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1213.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1180.0
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1158.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1147.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1147.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1141.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1121.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1115.7
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1105.4
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1101.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1085.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
1067.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1050.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1049.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1036.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
1032.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1030.7
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
1028.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1021.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1003.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
999.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
989.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
975.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
960.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
958.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
948.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
921.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
919.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
909.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
901.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
895.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
858.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
837.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
833.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
815.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
768.4
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
763.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
762.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
733.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
713.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
681.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
681.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
631.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
559.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
550.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
514.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
479.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
450.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
380.9
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.
KRT8 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
1231.2
Number of samples
486
Samples
Sample
Description
TPM
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
3729.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
3184.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
2991.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
2966.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
2943.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
2796.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
2753.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
2750.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
2736.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
2716.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
2641.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
2556.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
2436.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
2433.3
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
2430.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
2418.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
2385.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
2361.4
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
2336.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2307.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
2270.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
2252.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
2249.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
2234.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
2218.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
2216.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
2215.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
2211.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
2182.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
2163.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
2157.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
2136.5
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
2131.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
2119.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
2082.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
2080.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
2073.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
2070.8
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
2052.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
2052.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
2042.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
2040.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
2040.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
2030.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
2027.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
2027.5
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
2023.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
2001.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1998.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1971.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1969.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1968.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1937.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1935.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1913.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1912.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1909.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1908.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1899.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1897.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1877.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1861.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1856.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1848.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1846.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1831.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1824.9
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
1806.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1805.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1805.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1783.7
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1778.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
1766.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1752.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
1743.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1739.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
1737.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1707.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1703.7
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
1701.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1693.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1685.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1685.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1684.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
1681.5
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1681.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1672.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1667.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1658.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1658.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
1656.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1651.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1651.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1648.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
1644.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1639.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1632.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1620.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1619.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1615.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1614.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1612.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1598.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1593.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1590.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1586.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
1583.9
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1581.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
1580.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1578.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1575.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1562.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1561.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
1561.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1553.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1545.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1544.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1544.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1540.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1540.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1531.9
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1531.0
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1529.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
1526.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1497.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1497.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1497.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1492.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1490.3
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1487.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
1484.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
1484.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1480.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1476.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1475.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1472.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
1468.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1466.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1463.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1459.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1441.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1441.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
1437.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1433.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1430.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1429.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
1423.6
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1414.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1412.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1409.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1406.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1397.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1394.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
1394.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1391.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
1389.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1387.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1384.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1381.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1380.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1372.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1372.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
1368.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
1364.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1356.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1351.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1343.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1343.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
1341.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1338.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
1337.8
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1337.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
1333.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1333.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
1321.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1316.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
1314.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
1308.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
1308.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1307.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1306.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1305.0
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1302.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1296.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1294.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
1289.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1288.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1284.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
1283.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
1274.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1269.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
1268.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
1267.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1267.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1263.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1262.8
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1261.6
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1260.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1260.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1257.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1256.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1254.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
1253.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
1253.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
1250.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
1244.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1240.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1239.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
1238.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1234.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1230.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
1230.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1229.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1229.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1229.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
1227.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1226.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1220.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1213.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
1213.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
1213.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1212.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1208.9
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
1206.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1204.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1198.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
1194.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1192.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
1192.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
1192.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1190.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1181.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1179.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
1177.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
1177.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
1170.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
1169.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
1166.7
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1165.7
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1162.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1144.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1142.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1139.3
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1136.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1132.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
1131.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1130.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
1130.2
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
1124.2
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
1121.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1117.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
1115.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1114.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1111.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1109.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1109.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
1106.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1099.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
1092.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1090.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
1088.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
1082.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1081.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1079.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1078.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
1073.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
1071.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1065.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
1064.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
1057.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1051.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
1050.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
1048.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
1046.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1046.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
1045.0
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1039.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1039.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1033.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
1032.9
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1032.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1030.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1022.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
1022.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1021.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1020.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
1020.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1019.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1018.6
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
1018.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
1016.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
1015.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
1014.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1010.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
1009.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1006.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
1006.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1005.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
1002.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
999.3
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
996.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
994.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
992.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
992.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
987.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
986.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
983.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
982.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
978.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
977.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
977.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
977.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
977.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
974.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
973.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
972.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
969.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
960.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
959.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
959.6
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
958.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
958.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
957.1
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
955.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
954.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
953.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
951.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
943.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
939.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
939.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
938.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
937.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
935.8
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
932.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
926.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
925.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
921.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
919.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
916.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
916.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
912.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
910.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
908.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
907.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
906.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
904.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
904.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
904.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
903.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
902.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
901.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
897.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
896.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
893.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
884.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
883.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
880.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
879.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
878.7
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
878.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
875.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
872.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
871.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
869.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
867.3
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
846.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
834.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
834.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
833.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
830.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
829.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
828.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
825.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
823.9
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
823.0
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
821.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
818.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
813.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
806.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
805.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
805.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
804.7
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
804.2
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
800.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
800.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
798.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
794.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
789.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
787.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
786.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
785.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
783.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
782.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
773.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
773.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
772.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
771.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
766.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
766.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
746.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
744.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
743.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
742.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
742.1
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
741.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
740.5
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
737.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
732.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
729.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
727.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
723.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
722.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
721.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
719.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
717.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
717.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
709.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
705.7
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
698.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
697.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
694.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
694.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
691.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
689.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
688.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
687.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
686.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
684.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
684.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
680.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
678.9
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
677.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
675.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
674.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
661.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
658.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
651.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
647.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
644.9
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
642.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
641.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
641.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
639.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
623.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
617.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
613.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
610.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
600.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
600.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
590.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
580.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
578.6
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
559.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
557.2
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
554.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
551.9
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
550.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
549.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
542.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
531.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
528.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
522.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
518.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
513.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
506.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
475.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
473.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
465.0
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
454.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
451.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
450.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
450.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
448.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
446.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
414.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
412.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
412.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
402.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
397.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
366.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
357.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
343.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
288.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
215.1
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
48.2
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.
KRT8 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
1657.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
4283.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
3787.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
3668.1
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
3597.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
3324.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
2811.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
2719.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2695.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2635.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2555.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
2523.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
2305.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
2274.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
2245.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
2222.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
2220.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2167.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
2108.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
2082.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
2065.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
2002.2
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1972.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1963.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1943.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
1939.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1925.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1832.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1779.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1770.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1769.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1739.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1709.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1701.6
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1695.4
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1675.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1670.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1663.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1634.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1632.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1621.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1596.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1590.3
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1580.1
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1577.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1566.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1538.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1512.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1490.3
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1479.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1475.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1397.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
1386.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1385.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1370.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1368.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1333.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1332.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1317.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1293.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1285.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1235.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1205.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
1176.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1171.5
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1168.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1150.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1146.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1075.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1069.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1064.3
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1051.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1010.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
1009.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
985.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
981.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
977.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
964.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
930.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
924.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
915.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
887.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
850.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
788.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
707.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
691.6
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
685.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
595.5
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.
KRT8 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
1011.4
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
5082.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
2356.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
2287.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
2065.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1979.3
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1955.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1936.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1933.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
1879.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1846.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
1792.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1724.0
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1707.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1697.4
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1651.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1627.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
1608.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
1566.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1552.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
1537.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1533.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1475.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1474.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
1469.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
1457.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1452.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1437.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1422.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
1412.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
1410.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
1404.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
1400.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1400.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
1327.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
1316.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
1315.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1315.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
1314.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
1311.4
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
1298.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
1273.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1270.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
1261.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1258.4
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
1256.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1254.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1252.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
1252.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
1243.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
1240.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
1231.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1226.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
1226.6
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
1224.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1223.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1222.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
1200.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1200.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
1200.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1198.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
1194.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
1182.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
1180.3
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
1170.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
1168.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
1162.3
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
1158.6
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1155.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1154.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
1153.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1152.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
1124.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
1123.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
1117.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
1092.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1089.7
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
1088.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
1088.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
1087.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
1073.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
1062.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
1051.5
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1043.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
1035.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
1019.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1019.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
1018.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1012.4
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
1009.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
1000.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
995.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
983.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
972.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
968.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
968.2
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
957.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
950.3
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
945.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
944.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
943.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
940.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
939.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
936.5
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
932.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
932.4
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
925.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
924.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
923.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
916.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
915.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
906.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
905.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
900.9
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
899.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
887.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
883.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
877.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
877.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
872.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
872.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
872.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
858.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
858.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
852.5
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
849.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
848.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
847.7
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
841.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
841.0
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
840.7
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
836.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
832.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
827.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
824.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
821.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
820.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
812.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
810.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
808.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
800.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
796.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
794.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
792.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
792.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
787.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
787.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
786.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
785.8
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
785.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
772.4
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
767.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
766.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
745.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
721.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
714.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
704.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
693.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
692.5
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
687.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
684.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
683.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
679.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
678.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
670.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
666.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
660.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
658.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
642.8
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
641.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
640.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
628.5
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
619.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
619.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
579.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
573.4
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
570.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
564.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
556.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
553.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
551.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
551.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
542.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
542.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
538.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
517.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
512.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
511.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
503.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
496.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
495.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
485.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
482.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
481.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
469.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
456.4
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
444.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
442.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
429.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
425.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
398.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
391.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
391.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
387.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
342.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
288.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
254.2
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
125.1
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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
1.8
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.9
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.8
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.6
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.6
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.6
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.5
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.5
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.4
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.2
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.0
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.2
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.4
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.4
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.4
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.5
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.5
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.5
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.5
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.6
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.6
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.6
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.7
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.8
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.9
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-1.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-1.0
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-1.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-1.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-1.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-1.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-1.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.4
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.