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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.
S100A11 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
1206.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6157.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2978.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2821.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2786.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2612.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2597.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
2594.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
2467.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
2223.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
2169.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
2161.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
2155.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
2136.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
2132.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
2088.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
2044.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
2042.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
2017.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
2017.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2012.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
2004.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1992.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1980.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1908.5
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1859.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1846.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1833.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1831.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1798.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1732.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1688.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1680.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1669.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1665.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1663.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1658.5
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1645.5
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1611.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1605.6
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1597.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1588.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1588.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1583.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1580.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1571.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1567.3
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1557.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1540.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1534.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1533.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1517.6
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1516.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1515.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1509.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1509.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1508.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1508.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1486.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1481.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1479.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1477.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1463.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1455.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1452.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1448.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1428.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1423.2
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
1419.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1419.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
1406.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1405.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1393.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1387.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1386.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1373.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1365.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
1363.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1356.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1353.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1349.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1333.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1323.3
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1322.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1319.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1319.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
1318.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1315.1
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1309.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1307.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
1306.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1296.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1287.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1264.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1263.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1258.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1252.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1239.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
1236.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1235.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1235.2
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1231.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1230.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1225.3
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1223.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1217.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1214.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1204.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
1199.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1198.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
1198.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1195.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1194.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1182.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1179.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1175.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1174.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
1171.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1169.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1165.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1163.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
1156.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1155.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1153.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1153.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1144.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
1138.1
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1127.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
1121.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1118.5
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1117.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
1109.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1106.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
1105.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1101.0
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1096.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1092.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
1090.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1083.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1081.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1076.4
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
1074.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
1073.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
1067.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1066.3
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1065.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1063.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
1060.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1060.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
1056.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1051.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1051.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
1041.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1040.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
1019.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1015.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1010.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1006.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
997.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
996.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
994.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
990.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
989.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
976.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
973.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
972.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
967.1
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
962.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
958.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
958.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
956.0
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
950.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
945.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
944.8
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
943.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
936.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
936.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
929.2
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
923.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
920.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
916.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
911.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
903.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
901.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
896.8
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
890.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
886.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
881.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
877.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
876.0
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
872.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
871.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
866.2
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
865.3
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
855.7
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
851.8
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
848.8
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
848.4
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
836.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
833.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
816.7
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
812.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
809.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
808.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
808.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
805.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
791.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
789.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
781.5
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
781.2
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
778.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
775.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
763.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
761.7
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
741.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
738.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
714.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
714.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
713.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
708.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
704.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
702.7
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
691.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
681.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
663.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
640.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
638.7
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
636.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
636.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
635.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
632.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
626.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
624.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
619.1
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
616.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
615.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
608.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
607.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
589.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
550.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
543.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
537.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
523.5
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
515.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
514.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
488.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
472.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
431.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
362.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
255.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
248.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
214.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
152.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
148.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 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.
S100A11 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
639.9
Number of samples
486
Samples
Sample
Description
TPM
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2052.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1696.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1641.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1561.4
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1547.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1521.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1493.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1474.1
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1398.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1344.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1333.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1328.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1319.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1305.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
1278.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1276.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
1267.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1262.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
1262.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1251.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1237.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1233.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1228.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1220.8
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1205.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1178.6
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1169.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
1142.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1113.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1100.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
1099.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
1092.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1090.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1081.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1078.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1073.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1044.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1044.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1042.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1034.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1026.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1024.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
1021.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1019.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1019.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
1016.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1013.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
1004.5
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
997.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
997.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
989.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
982.7
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
978.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
976.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
973.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
973.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
961.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
960.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
954.9
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
936.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
931.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
930.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
928.0
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
926.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
920.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
907.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
904.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
899.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
898.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
895.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
878.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
874.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
872.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
868.2
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
866.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
862.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
860.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
857.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
856.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
849.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
849.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
844.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
839.0
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
838.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
835.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
833.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
833.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
827.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
826.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
823.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
814.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
813.5
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
807.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
804.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
802.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
802.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
801.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
800.6
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
799.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
799.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
793.4
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
793.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
790.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
789.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
788.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
786.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
773.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
773.3
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
772.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
765.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
759.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
758.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
758.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
754.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
753.7
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
753.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
744.3
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
743.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
743.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
743.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
742.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
739.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
739.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
738.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
735.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
735.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
734.6
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
732.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
731.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
729.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
727.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
726.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
724.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
722.1
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
718.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
718.1
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
714.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
714.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
714.3
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
712.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
711.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
710.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
710.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
710.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
709.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
708.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
708.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
707.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
707.3
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
706.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
703.4
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
702.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
700.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
697.8
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
696.9
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
696.1
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
695.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
693.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
693.5
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
691.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
690.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
689.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
687.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
687.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
683.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
682.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
682.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
677.5
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
677.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
676.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
675.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
674.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
674.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
671.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
670.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
669.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
664.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
663.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
663.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
663.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
663.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
661.6
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
658.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
657.0
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
656.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
656.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
655.5
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
655.0
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
654.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
652.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
649.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
648.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
645.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
639.6
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
639.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
637.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
637.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
636.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
636.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
635.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
633.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
632.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
629.9
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
629.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
628.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
628.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
628.2
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
625.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
624.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
623.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
621.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
620.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
619.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
617.9
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
616.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
616.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
615.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
613.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
613.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
613.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
612.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
611.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
611.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
611.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
610.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
609.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
609.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
606.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
606.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
603.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
599.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
598.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
598.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
598.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
595.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
593.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
591.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
589.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
587.2
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
586.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
585.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
584.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
582.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
581.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
580.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
580.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
579.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
579.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
578.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
577.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
577.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
576.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
575.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
574.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
574.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
573.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
573.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
572.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
571.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
569.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
568.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
568.7
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
568.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
568.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
568.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
564.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
564.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
563.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
563.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
562.1
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
558.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
558.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
558.7
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
558.2
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
557.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
556.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
556.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
553.8
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
553.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
549.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
547.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
544.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
544.3
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
543.7
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
543.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
542.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
542.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
541.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
541.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
539.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
538.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
537.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
536.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
533.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
532.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
532.0
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
531.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
529.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
529.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
528.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
528.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
527.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
526.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
524.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
523.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
521.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
519.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
519.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
519.1
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
518.6
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
516.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
516.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
513.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
511.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
510.2
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
510.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
508.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
508.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
507.6
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
506.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
506.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
505.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
505.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
502.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
502.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
501.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
501.7
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
501.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
500.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
498.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
498.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
496.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
495.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
494.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
493.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
492.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
489.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
488.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
484.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
483.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
481.8
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
480.6
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
480.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
479.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
479.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
478.7
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
478.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
475.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
475.2
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
475.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
474.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
472.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
470.9
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
470.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
469.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
469.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
468.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
467.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
467.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
465.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
465.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
463.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
463.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
463.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
463.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
462.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
462.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
461.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
459.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
459.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
459.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
457.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
456.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
455.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
454.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
454.7
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
452.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
451.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
448.9
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
447.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
447.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
446.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
445.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
445.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
444.8
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
444.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
443.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
442.7
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
438.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
437.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
436.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
435.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
434.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
434.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
431.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
431.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
430.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
428.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
427.2
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
426.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
426.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
424.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
423.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
422.8
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
422.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
422.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
420.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
419.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
418.3
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
417.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
416.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
416.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
414.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
406.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
406.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
405.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
405.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
404.0
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
402.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
402.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
398.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
396.4
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
395.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
394.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
393.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
393.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
393.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
392.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
390.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
390.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
388.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
388.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
385.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
383.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
383.5
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
378.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
378.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
378.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
377.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
376.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
372.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
368.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
366.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
363.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
363.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
363.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
362.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
361.6
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
360.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
360.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
359.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
359.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
357.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
356.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
352.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
345.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
341.2
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
338.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
336.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
334.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
333.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
331.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
331.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
328.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
328.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
325.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
311.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
309.5
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
307.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
286.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
286.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
285.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
283.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
278.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
275.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
274.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
269.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
257.7
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
231.4
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
208.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
188.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
175.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
158.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
137.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
33.8
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.
S100A11 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
1144.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
3714.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
3392.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
2892.3
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
2813.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
2088.0
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1960.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1860.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1856.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1642.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1584.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1579.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1470.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1465.8
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1423.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1412.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1360.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1342.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
1341.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1333.2
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1320.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1299.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1275.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1257.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
1251.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1242.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1239.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1232.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1231.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1219.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1132.6
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1130.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
1125.6
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1123.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1119.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1111.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1108.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1107.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1106.7
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1084.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
1070.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
1064.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
1062.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1056.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1046.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1042.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1042.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1040.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1030.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1011.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
970.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
967.1
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
964.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
958.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
953.8
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
929.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
927.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
914.3
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
888.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
885.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
884.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
846.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
818.2
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
815.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
803.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
799.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
798.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
786.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
783.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
777.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
777.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
763.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
744.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
733.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
733.4
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
722.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
702.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
693.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
690.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
683.2
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
681.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
638.8
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
624.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
620.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
575.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
569.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
555.5
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
517.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 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.
S100A11 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
582.7
Number of samples
207
Samples
Sample
Description
TPM
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1497.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1360.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
1269.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1208.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1161.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1122.7
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
1091.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1065.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1053.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1051.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1032.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
1024.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
1011.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
969.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
936.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
871.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
860.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
850.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
835.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
821.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
814.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
803.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
803.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
797.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
787.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
777.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
772.6
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
771.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
767.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
763.7
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
763.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
759.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
755.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
748.5
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
737.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
735.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
722.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
720.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
719.2
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
718.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
715.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
713.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
709.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
699.9
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
690.7
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
689.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
687.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
686.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
683.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
682.7
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
675.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
675.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
670.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
667.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
666.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
663.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
659.0
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
658.3
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
655.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
655.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
653.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
652.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
647.4
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
642.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
637.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
637.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
634.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
633.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
633.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
632.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
628.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
627.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
621.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
619.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
617.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
616.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
610.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
610.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
609.9
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
609.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
608.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
607.7
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
602.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
601.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
599.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
597.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
596.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
594.0
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
592.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
590.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
586.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
570.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
568.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
568.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
566.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
565.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
564.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
562.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
561.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
561.4
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
559.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
556.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
555.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
554.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
554.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
554.3
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
552.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
552.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
552.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
551.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
549.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
546.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
545.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
544.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
541.4
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
538.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
537.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
534.5
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
534.1
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
533.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
530.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
525.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
522.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
520.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
513.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
512.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
511.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
504.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
501.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
498.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
497.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
493.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
489.6
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
485.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
484.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
482.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
480.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
480.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
479.4
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
476.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
469.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
466.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
466.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
465.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
458.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
457.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
456.3
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
453.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
450.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
450.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
450.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
449.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
448.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
445.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
445.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
444.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
434.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
433.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
431.3
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
430.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
424.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
421.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
419.4
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
419.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
416.9
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
416.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
415.4
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
411.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
410.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
408.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
407.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
404.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
403.0
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
401.7
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
400.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
400.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
399.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
389.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
387.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
386.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
382.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
381.9
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
377.6
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
377.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
365.1
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
362.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
359.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
354.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
342.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
339.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
335.4
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
335.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
333.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
330.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
327.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
327.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
321.0
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
313.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
303.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
296.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
291.4
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
276.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
260.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
248.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
212.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
174.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
18.3
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.8
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.7
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.7
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.6
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.6
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.6
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.4
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
43192517-085e-450e-9481-0a6713_D3
Tumor
0.0
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.4
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.4
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.5
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.5
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.5
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.6
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.6
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.6
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.6
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.6
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.6
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.6
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.7
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.7
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.7
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.7
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.7
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.7
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.7
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.7
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.7
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.7
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.8
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.8
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.8
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.8
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.8
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.8
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.8
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.9
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-1.0
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-1.1
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.