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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.
S100A10 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
940.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
2731.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2542.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2354.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2319.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
2218.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
2050.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
2011.8
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1929.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1923.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1906.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
1902.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1889.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1804.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
1668.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1581.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1571.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1562.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1540.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1536.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
1501.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
1500.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1468.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1454.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1445.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1440.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1422.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1421.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1420.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1415.9
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1398.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1364.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1357.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1351.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1344.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
1332.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1329.8
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1328.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
1321.2
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1316.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1313.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1301.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
1283.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1275.7
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1270.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1263.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
1262.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1262.0
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1260.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1254.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1252.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
1235.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1211.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1208.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1203.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1198.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1188.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
1168.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
1167.1
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1157.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1149.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1149.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
1145.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1142.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
1140.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1139.8
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1122.5
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1120.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1119.1
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1115.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1113.8
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
1102.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1101.5
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1091.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1086.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
1071.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1069.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1068.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1062.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1060.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1053.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1053.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
1048.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1045.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
1042.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1039.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1031.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1028.7
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
1021.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1019.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1015.5
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1008.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1003.7
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
998.8
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
998.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
998.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
997.2
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
995.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
994.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
991.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
990.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
985.5
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
985.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
984.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
982.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
982.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
972.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
962.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
960.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
960.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
957.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
950.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
949.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
948.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
947.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
942.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
937.8
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
933.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
930.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
926.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
924.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
924.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
922.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
919.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
917.5
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
906.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
902.1
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
900.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
900.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
899.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
892.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
889.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
880.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
863.1
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
854.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
849.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
847.4
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
832.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
828.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
828.4
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
823.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
814.8
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
811.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
806.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
806.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
804.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
801.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
800.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
797.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
793.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
792.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
789.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
779.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
779.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
777.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
772.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
770.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
765.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
758.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
758.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
755.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
746.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
745.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
745.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
740.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
730.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
729.7
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
726.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
726.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
723.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
722.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
721.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
720.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
716.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
715.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
710.1
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
709.4
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
706.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
701.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
699.9
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
688.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
688.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
683.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
683.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
682.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
680.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
679.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
679.2
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
678.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
666.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
665.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
655.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
654.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
650.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
634.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
633.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
632.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
622.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
619.1
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
619.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
616.4
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
616.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
615.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
614.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
608.5
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
603.2
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
602.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
594.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
593.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
593.0
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
591.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
578.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
573.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
570.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
558.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
549.7
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
546.7
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
538.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
523.6
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
521.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
513.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
505.0
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
489.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
488.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
484.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
479.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
473.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
470.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
469.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
464.4
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
463.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
451.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
448.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
445.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
444.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
444.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
433.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
430.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
429.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
417.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
414.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
401.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
398.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
396.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
389.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
384.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
374.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
368.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
360.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
334.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
329.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
307.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
297.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
296.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 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.
S100A10 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
719.0
Number of samples
486
Samples
Sample
Description
TPM
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
1969.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
1721.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1717.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1707.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1637.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1628.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
1619.1
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1618.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1602.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1601.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
1598.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1577.5
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1552.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1511.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
1508.4
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
1458.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
1439.9
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1419.4
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1409.8
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1392.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1375.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1372.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1363.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1358.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1300.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1285.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1284.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1282.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1278.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1270.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
1241.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1240.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1199.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1196.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
1195.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1187.7
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
1187.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1184.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
1174.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
1174.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1168.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1153.0
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
1151.9
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
1131.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
1124.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
1117.4
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
1112.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1104.7
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1100.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1093.8
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
1093.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
1088.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1088.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
1087.1
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
1086.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1083.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
1083.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1069.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1015.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1014.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
1014.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
1007.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
1005.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
998.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
996.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
994.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
992.4
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
986.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
982.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
978.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
978.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
970.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
970.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
970.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
969.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
959.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
956.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
955.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
955.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
953.3
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
951.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
936.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
936.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
933.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
931.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
928.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
924.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
923.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
922.1
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
922.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
922.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
921.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
920.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
916.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
914.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
914.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
911.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
910.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
910.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
907.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
903.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
900.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
898.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
895.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
893.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
893.6
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
889.6
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
888.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
888.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
885.2
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
882.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
882.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
880.1
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
879.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
879.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
875.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
873.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
871.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
869.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
868.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
867.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
863.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
862.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
861.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
860.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
860.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
855.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
855.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
853.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
853.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
853.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
851.8
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
849.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
848.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
847.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
846.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
842.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
841.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
840.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
840.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
838.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
836.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
834.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
834.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
832.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
828.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
827.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
825.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
823.7
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
821.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
820.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
818.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
813.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
809.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
809.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
807.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
806.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
806.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
803.6
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
795.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
794.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
791.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
790.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
789.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
785.5
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
783.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
780.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
779.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
779.2
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
775.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
773.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
771.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
768.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
766.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
763.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
763.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
760.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
759.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
755.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
753.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
751.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
750.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
748.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
748.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
747.2
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
747.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
746.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
744.6
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
743.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
742.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
741.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
738.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
738.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
738.2
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
735.7
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
734.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
732.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
728.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
726.6
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
726.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
725.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
724.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
724.1
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
723.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
722.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
719.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
716.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
716.3
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
714.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
713.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
712.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
710.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
709.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
708.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
707.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
706.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
703.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
701.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
700.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
697.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
692.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
692.1
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
690.6
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
688.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
685.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
684.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
681.2
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
679.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
679.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
679.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
673.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
671.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
671.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
671.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
671.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
670.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
669.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
668.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
668.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
667.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
665.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
661.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
655.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
655.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
648.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
648.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
648.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
647.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
647.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
645.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
645.0
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
644.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
644.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
643.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
642.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
642.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
640.6
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
639.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
638.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
638.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
638.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
635.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
635.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
632.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
632.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
631.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
630.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
629.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
629.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
628.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
627.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
625.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
625.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
616.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
616.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
616.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
615.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
614.6
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
614.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
613.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
610.6
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
610.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
609.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
608.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
608.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
606.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
604.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
603.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
603.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
601.0
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
601.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
598.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
597.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
593.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
593.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
592.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
590.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
589.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
587.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
586.5
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
585.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
583.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
582.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
581.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
581.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
578.4
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
577.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
577.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
576.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
576.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
575.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
575.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
575.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
575.0
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
573.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
573.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
573.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
572.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
572.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
570.4
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
568.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
568.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
568.0
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
568.0
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
566.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
565.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
564.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
564.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
562.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
562.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
561.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
559.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
559.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
555.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
554.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
553.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
552.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
552.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
552.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
552.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
549.5
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
549.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
549.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
548.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
547.6
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
545.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
544.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
540.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
538.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
533.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
531.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
529.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
527.7
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
527.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
523.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
523.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
522.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
522.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
520.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
518.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
518.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
516.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
514.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
513.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
511.1
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
509.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
507.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
507.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
505.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
505.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
503.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
503.2
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
502.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
499.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
498.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
493.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
493.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
491.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
489.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
487.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
487.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
486.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
485.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
485.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
484.4
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
483.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
483.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
479.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
478.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
478.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
476.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
474.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
474.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
471.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
470.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
469.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
467.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
466.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
465.2
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
461.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
461.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
458.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
458.5
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
458.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
457.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
457.6
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
457.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
455.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
454.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
453.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
449.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
445.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
443.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
441.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
440.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
440.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
440.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
436.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
436.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
432.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
431.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
430.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
430.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
429.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
429.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
428.5
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
426.2
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
420.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
417.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
417.7
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
417.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
417.1
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
416.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
413.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
412.8
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
411.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
409.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
409.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
409.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
408.7
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
405.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
400.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
400.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
393.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
393.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
390.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
389.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
389.5
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
387.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
387.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
387.4
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
386.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
386.0
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
385.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
379.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
379.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
378.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
377.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
375.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
371.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
371.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
370.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
370.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
358.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
357.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
357.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
355.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
353.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
353.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
352.0
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
348.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
344.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
339.4
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
333.2
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
326.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
321.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
305.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
291.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
272.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
268.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
266.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
232.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
225.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
218.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
44.6
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.
S100A10 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
965.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
2567.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
2071.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1879.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1814.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1726.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
1554.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
1504.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1475.6
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1466.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
1454.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1445.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1424.7
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1377.5
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1369.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1312.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1257.5
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
1239.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1232.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1225.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1213.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1190.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1174.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1165.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1164.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
1158.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
1157.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1155.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1142.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1141.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1108.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
1100.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
1016.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1013.1
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
1009.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
1007.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
1000.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
962.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
935.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
931.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
911.7
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
909.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
896.9
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
890.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
889.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
845.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
844.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
835.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
834.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
832.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
831.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
828.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
828.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
819.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
789.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
789.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
776.4
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
750.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
746.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
743.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
714.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
706.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
699.7
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
699.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
698.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
695.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
690.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
684.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
682.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
679.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
637.5
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
633.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
628.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
625.8
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
594.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
588.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
588.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
576.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
566.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
558.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
557.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
536.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
533.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
515.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
479.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
436.5
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
423.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
393.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 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.
S100A10 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
680.0
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
2010.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
1549.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
1511.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1437.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1424.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
1350.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1331.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
1306.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
1214.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1209.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
1114.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1106.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
1096.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
1076.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
1065.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1056.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
1051.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
1041.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1031.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1031.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
1007.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
998.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
991.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
979.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
976.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
969.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
956.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
956.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
952.2
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
939.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
938.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
928.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
927.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
906.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
902.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
900.2
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
882.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
879.3
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
875.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
867.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
859.0
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
849.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
848.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
840.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
839.5
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
838.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
825.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
823.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
821.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
818.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
811.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
809.7
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
808.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
800.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
796.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
794.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
793.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
790.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
789.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
787.5
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
781.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
777.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
773.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
772.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
768.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
765.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
761.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
745.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
739.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
739.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
739.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
736.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
732.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
731.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
728.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
726.2
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
720.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
719.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
708.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
708.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
705.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
702.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
702.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
697.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
690.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
685.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
676.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
676.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
666.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
655.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
654.2
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
653.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
650.8
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
647.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
646.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
644.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
643.4
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
640.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
639.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
635.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
635.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
633.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
633.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
631.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
629.7
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
628.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
622.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
621.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
620.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
619.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
617.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
617.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
612.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
611.5
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
611.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
603.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
602.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
600.2
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
599.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
597.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
597.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
595.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
592.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
589.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
585.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
584.2
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
581.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
580.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
578.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
577.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
573.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
572.7
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
561.8
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
555.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
549.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
542.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
540.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
540.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
540.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
538.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
535.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
534.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
532.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
529.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
520.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
519.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
519.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
516.0
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
513.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
512.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
512.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
512.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
512.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
508.9
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
505.9
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
500.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
497.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
496.6
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
493.6
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
492.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
487.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
485.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
483.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
481.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
470.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
467.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
446.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
442.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
440.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
439.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
436.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
433.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
432.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
431.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
425.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
423.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
420.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
419.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
415.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
414.5
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
412.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
411.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
406.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
405.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
403.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
401.1
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
395.6
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
395.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
388.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
388.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
383.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
379.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
378.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
373.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
369.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
368.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
366.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
359.8
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
350.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
347.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
343.7
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
334.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
329.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
319.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
308.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
244.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
24.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.6
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.5
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.1
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.1
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.0
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.0
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
b2400046-1d25-429d-a821-6040a6
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.3
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.4
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.4
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.5
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.5
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.5
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.6
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.6
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.6
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.7
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.7
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-1.2
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.
The Human Protein Atlas project is funded
