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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.
RPL17 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
1668.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
4812.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
4139.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
3952.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
3691.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
3625.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
3303.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
3165.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
3035.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2985.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
2906.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2899.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
2868.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
2800.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
2787.8
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
2694.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
2679.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
2676.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
2664.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2642.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
2634.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
2634.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
2607.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
2568.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2561.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2508.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2500.0
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2490.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2477.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2473.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
2452.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
2448.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
2432.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
2429.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2411.0
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2402.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
2394.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
2382.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
2371.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
2358.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
2355.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2352.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
2306.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
2302.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
2301.9
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
2235.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
2228.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
2224.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
2208.8
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
2199.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
2189.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
2188.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
2176.3
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
2163.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
2115.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2096.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
2096.1
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
2091.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
2082.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
2075.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
2058.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
2051.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
2040.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
2039.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
2036.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2022.4
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
2022.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2020.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
2009.9
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1972.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1929.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1912.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1906.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1904.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1901.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1888.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
1873.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1873.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
1858.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1850.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1849.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1839.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1839.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1832.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
1828.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1824.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1809.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1803.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1796.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1786.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1781.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1775.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
1756.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1750.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1744.9
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1736.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1733.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
1731.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1725.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1724.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1713.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1698.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1697.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1697.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1678.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1677.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
1650.8
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1649.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1648.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1647.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1647.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1645.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1643.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1642.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
1640.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1625.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
1622.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1592.8
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1592.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1585.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1579.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
1573.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1572.6
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1566.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1559.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
1557.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1554.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1554.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1542.2
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1524.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1522.9
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1522.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1518.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1505.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1503.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1499.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1486.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1476.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1469.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1465.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1464.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1457.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1450.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
1445.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
1438.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1427.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1414.4
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1412.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1409.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1408.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1396.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1383.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1373.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1366.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
1358.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
1344.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1334.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1333.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1330.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1330.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1322.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1316.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
1313.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
1309.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1306.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1300.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1296.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1286.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1281.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1279.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1276.7
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1269.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1269.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1265.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1263.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1263.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
1262.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1260.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
1259.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1256.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1255.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
1243.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1242.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1238.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1236.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1235.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1228.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
1228.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1224.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1221.7
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1206.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1189.4
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1181.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1172.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1165.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1162.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1161.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1158.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1158.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1156.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1155.6
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1150.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
1143.9
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
1135.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1131.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1128.3
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1125.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1122.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1114.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
1109.2
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1095.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
1092.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1086.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1084.0
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1073.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1072.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
1072.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1067.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1066.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1040.2
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
1039.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1019.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1017.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
1015.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
1011.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1011.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
997.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
990.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
987.7
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
987.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
980.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
978.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
968.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
966.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
963.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
963.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
962.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
959.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
933.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
915.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
903.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
896.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
894.0
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
887.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
868.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
853.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
832.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
829.7
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
818.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
794.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
791.4
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
789.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
726.7
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
717.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
RPL17 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
1075.2
Number of samples
486
Samples
Sample
Description
TPM
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
4777.3
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
2647.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
2530.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
2397.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2315.6
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2276.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
2240.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
2180.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
2151.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
2037.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1988.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1942.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
1924.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1904.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
1885.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1868.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1863.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
1858.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1856.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1855.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
1841.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
1839.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
1839.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1825.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
1820.3
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1797.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
1780.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
1765.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
1763.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
1745.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
1737.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
1721.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1717.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
1695.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1691.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
1685.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
1675.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
1672.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
1660.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
1657.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
1651.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
1616.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1614.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1601.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
1599.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
1592.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
1587.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
1578.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
1572.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1567.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
1549.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
1548.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
1546.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1546.5
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
1544.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
1542.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1537.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
1533.6
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
1521.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
1520.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
1519.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
1515.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1511.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1510.8
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1508.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
1508.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1496.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
1485.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1484.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1481.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
1480.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
1479.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1479.2
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1476.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
1474.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1470.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
1470.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
1466.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1463.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
1458.3
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
1458.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
1453.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1449.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
1442.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
1441.8
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
1441.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
1437.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
1433.8
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1429.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
1427.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
1421.0
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1420.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
1415.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
1414.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
1409.5
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1409.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
1407.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1407.8
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1402.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1398.6
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
1397.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
1395.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1390.5
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1390.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1382.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1381.7
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
1381.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
1380.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
1379.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1375.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
1365.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1354.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1351.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
1351.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
1349.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
1342.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
1341.7
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
1335.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
1332.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
1329.1
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
1322.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
1321.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
1318.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1314.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1313.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1302.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1302.5
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1296.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
1290.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
1285.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1284.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
1282.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
1277.9
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
1275.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
1270.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
1267.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1267.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1265.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
1265.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
1262.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
1261.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
1252.7
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
1251.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
1242.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
1238.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
1234.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1232.7
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
1231.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
1231.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1228.7
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1226.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
1220.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
1219.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1217.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
1215.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
1215.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1214.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
1209.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
1207.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
1205.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
1200.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
1195.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
1185.7
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
1179.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1174.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
1168.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1166.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
1162.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
1160.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
1159.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
1150.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1148.8
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
1145.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
1143.9
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
1140.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1137.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1136.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1133.9
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
1128.6
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
1126.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
1123.5
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
1121.1
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1118.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
1118.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1117.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
1117.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1114.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
1113.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1113.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
1113.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
1113.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
1112.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1109.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
1108.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
1107.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
1107.3
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
1105.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1104.1
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1102.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1100.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
1098.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
1097.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1096.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1096.4
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1096.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1092.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
1091.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
1083.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1083.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1080.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
1074.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
1072.8
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
1065.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
1058.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
1055.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1054.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1052.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
1052.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
1049.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
1049.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1047.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
1046.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1041.9
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
1038.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
1037.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
1031.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1021.6
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
1017.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1015.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1009.0
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
1007.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1006.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
1005.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
1001.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1001.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
1001.2
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
999.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
998.6
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
997.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
995.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
991.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
986.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
985.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
984.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
983.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
979.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
976.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
974.3
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
974.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
972.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
968.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
965.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
963.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
962.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
959.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
959.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
958.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
958.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
957.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
957.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
955.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
949.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
948.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
948.1
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
947.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
947.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
944.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
935.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
928.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
928.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
927.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
926.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
926.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
922.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
918.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
918.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
918.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
916.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
913.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
913.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
913.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
910.7
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
910.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
907.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
903.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
902.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
901.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
900.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
900.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
896.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
894.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
893.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
893.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
892.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
892.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
890.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
889.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
887.5
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
886.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
885.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
884.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
882.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
882.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
880.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
879.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
879.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
878.5
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
876.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
875.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
873.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
873.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
868.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
866.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
866.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
866.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
865.9
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
863.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
861.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
861.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
859.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
858.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
856.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
855.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
853.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
853.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
850.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
849.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
848.0
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
845.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
844.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
843.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
843.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
842.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
839.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
836.3
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
834.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
833.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
832.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
831.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
831.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
830.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
829.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
828.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
827.4
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
822.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
820.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
819.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
819.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
817.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
814.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
811.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
808.7
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
806.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
805.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
805.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
801.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
801.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
801.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
801.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
799.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
796.0
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
795.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
795.1
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
793.8
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
793.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
792.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
789.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
789.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
788.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
786.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
778.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
778.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
774.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
773.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
773.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
773.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
773.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
772.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
772.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
771.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
771.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
764.5
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
764.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
761.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
754.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
754.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
752.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
751.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
750.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
750.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
749.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
748.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
746.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
745.7
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
743.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
742.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
734.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
730.2
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
728.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
724.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
724.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
719.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
718.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
715.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
714.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
713.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
708.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
708.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
708.5
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
701.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
701.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
697.0
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
694.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
692.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
690.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
689.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
688.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
688.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
687.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
686.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
685.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
684.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
683.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
678.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
678.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
677.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
674.1
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
672.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
672.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
651.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
644.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
643.5
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
636.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
636.4
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
636.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
631.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
630.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
629.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
629.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
628.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
627.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
627.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
625.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
624.2
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
621.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
621.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
610.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
604.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
603.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
603.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
602.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
600.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
594.5
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
586.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
581.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
579.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
577.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
571.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
570.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
565.5
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
565.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
564.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
562.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
560.6
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
559.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
554.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
550.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
546.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
546.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
541.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
540.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
526.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
524.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
517.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
514.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
501.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
466.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
457.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
451.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
438.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
428.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
426.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
426.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
424.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
46.2
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.
RPL17 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
1398.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
3422.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
3128.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
2899.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
2723.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
2498.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
2414.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2409.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
2254.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
2216.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
2198.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
2190.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
2151.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
2046.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1808.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1786.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
1700.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1689.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1615.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1610.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1594.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1560.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1558.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1552.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1502.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1500.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1441.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1438.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
1434.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1404.5
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1394.7
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1391.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1373.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1368.4
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1361.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
1336.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1315.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
1301.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1297.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1296.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1294.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1293.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1292.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1292.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1271.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1270.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
1270.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1267.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1263.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
1254.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1233.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1230.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
1219.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
1210.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
1208.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1190.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1190.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1185.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1176.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1173.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1172.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
1167.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1118.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1100.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
1086.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1081.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1070.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1066.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1066.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1057.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1012.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1001.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
993.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
975.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
969.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
965.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
927.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
921.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
913.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
874.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
869.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
866.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
828.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
790.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
790.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
771.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
731.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
731.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
RPL17 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
821.5
Number of samples
207
Samples
Sample
Description
TPM
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
6074.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
2470.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
2214.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
1983.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
1750.3
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1671.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
1665.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
1627.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
1579.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
1562.6
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
1544.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
1484.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1446.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
1360.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
1297.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
1291.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
1287.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1249.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1238.8
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
1232.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
1228.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
1227.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1224.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
1202.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
1181.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1170.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1165.9
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
1154.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1152.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1132.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1127.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1089.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
1068.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
1059.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1053.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
1050.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1046.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
1021.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
1004.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1002.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
990.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
989.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
989.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
986.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
983.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
978.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
967.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
964.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
959.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
954.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
948.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
941.1
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
930.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
926.1
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
923.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
919.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
912.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
907.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
905.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
885.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
881.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
872.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
866.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
866.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
865.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
864.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
864.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
853.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
849.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
843.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
832.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
828.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
827.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
818.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
808.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
803.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
801.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
797.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
796.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
796.1
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
782.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
780.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
776.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
770.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
769.3
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
768.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
760.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
759.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
753.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
752.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
749.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
745.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
743.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
741.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
736.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
733.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
733.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
731.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
728.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
727.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
725.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
722.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
722.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
721.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
721.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
721.6
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
720.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
718.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
715.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
715.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
708.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
703.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
700.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
698.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
690.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
690.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
689.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
688.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
686.8
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
684.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
684.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
683.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
681.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
677.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
669.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
664.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
661.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
656.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
653.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
652.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
649.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
645.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
642.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
635.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
630.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
629.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
624.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
621.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
619.8
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
614.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
610.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
608.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
607.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
606.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
603.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
602.2
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
602.2
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
602.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
601.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
600.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
587.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
585.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
577.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
569.2
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
566.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
566.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
564.1
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
563.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
560.6
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
560.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
560.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
559.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
554.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
554.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
551.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
551.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
549.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
547.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
537.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
536.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
533.6
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
533.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
531.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
530.9
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
528.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
526.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
525.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
524.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
518.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
513.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
512.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
490.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
489.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
488.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
487.8
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
482.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
474.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
469.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
468.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
467.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
458.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
457.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
453.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
429.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
420.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
412.2
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
407.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
407.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
390.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
390.4
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
382.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
374.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
373.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
371.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
352.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
311.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
35.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.6
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
8cc7e656-0152-4359-8566-0581c3
Tumor
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.1
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.0
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.0
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.3
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.3
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.6
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.6
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.6
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
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.