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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.
ANXA2 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
972.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
3943.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
3487.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
2725.6
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
2451.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
2338.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
2263.7
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
2180.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
2159.8
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
2128.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
2061.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
1906.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1905.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1890.5
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
1889.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1879.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1860.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1766.0
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1759.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1758.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1706.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1661.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1639.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1626.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1614.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1610.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1586.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
1582.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
1581.1
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1578.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
1574.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1562.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1542.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1533.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1505.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1482.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1474.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1467.2
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1444.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
1409.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
1396.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1389.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
1381.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1380.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
1374.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1368.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
1362.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1352.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
1344.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1337.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
1297.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1277.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1267.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1253.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1243.0
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
1238.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1238.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1235.4
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
1228.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
1220.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
1220.4
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1218.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
1212.5
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1206.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1189.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
1166.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1150.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
1137.9
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
1136.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
1103.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1098.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
1088.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1088.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1087.6
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
1076.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1076.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
1069.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1069.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1069.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1064.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
1053.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
1049.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
1045.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1042.3
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1042.2
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
1034.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1026.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1022.8
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1021.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1003.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
1003.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
995.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
995.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
994.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
990.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
976.1
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
965.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
962.7
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
958.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
957.2
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
939.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
936.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
935.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
930.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
930.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
930.2
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
925.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
921.1
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
919.9
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
917.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
913.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
911.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
910.4
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
907.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
906.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
894.9
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
894.8
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
886.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
885.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
883.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
880.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
878.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
869.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
868.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
865.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
863.6
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
857.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
857.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
856.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
847.2
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
846.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
840.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
840.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
838.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
834.8
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
832.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
831.5
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
826.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
824.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
822.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
818.9
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
811.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
811.4
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
806.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
804.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
799.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
797.1
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
796.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
794.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
794.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
789.7
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
788.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
786.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
783.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
781.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
781.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
779.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
771.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
768.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
767.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
759.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
758.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
757.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
755.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
749.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
746.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
740.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
739.9
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
734.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
727.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
726.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
725.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
723.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
718.3
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
717.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
708.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
705.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
704.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
701.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
700.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
698.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
694.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
690.5
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
679.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
677.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
668.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
668.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
668.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
657.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
656.5
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
647.3
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
642.3
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
639.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
637.7
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
637.3
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
631.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
628.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
628.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
613.4
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
613.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
609.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
609.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
607.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
600.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
589.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
581.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
579.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
574.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
568.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
560.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
557.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
553.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
551.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
550.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
549.3
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
546.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
544.0
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
532.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
532.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
529.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
520.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
516.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
514.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
507.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
500.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
492.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
489.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
480.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
469.8
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
469.7
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
469.1
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
460.8
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
460.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
454.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
447.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
446.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
444.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
437.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
432.5
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
430.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
419.8
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
409.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
404.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
398.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
390.1
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
360.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
335.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
332.4
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
327.2
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
326.7
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
322.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
307.0
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
304.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
290.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 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.
ANXA2 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
786.2
Number of samples
486
Samples
Sample
Description
TPM
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
2479.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
2260.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
2235.3
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
2140.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
2119.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
1932.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
1909.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
1902.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
1864.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
1814.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
1804.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
1789.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
1781.2
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
1765.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
1748.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
1737.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
1721.2
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
1687.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1656.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
1646.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
1645.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
1633.5
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
1630.0
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
1586.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
1563.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
1545.0
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
1531.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
1516.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
1490.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
1457.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
1443.9
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
1439.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
1411.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
1393.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
1393.8
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
1373.3
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
1370.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
1365.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1347.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
1346.9
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
1342.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
1340.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
1316.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
1313.3
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1302.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
1302.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
1301.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
1301.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
1296.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
1282.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
1281.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
1269.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
1265.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
1262.9
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
1262.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
1252.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
1249.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
1246.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
1240.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
1220.4
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
1219.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
1214.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
1213.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
1209.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
1208.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
1188.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
1184.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
1174.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
1172.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
1169.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
1167.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
1166.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
1165.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
1158.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
1156.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
1156.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
1146.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
1145.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1143.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
1136.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
1123.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
1120.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
1119.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
1115.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
1112.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
1111.8
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
1108.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
1101.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
1096.7
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
1096.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
1086.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
1070.5
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
1069.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
1068.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1043.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
1032.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
1020.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
1016.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
1016.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
1012.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
1011.9
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
1008.5
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
1007.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
1000.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
998.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
995.9
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
989.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
985.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
984.1
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
982.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
978.6
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
976.4
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
975.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
975.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
971.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
967.5
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
961.8
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
960.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
959.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
958.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
955.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
955.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
948.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
947.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
943.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
942.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
939.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
938.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
937.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
935.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
933.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
926.3
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
923.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
922.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
921.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
918.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
915.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
914.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
913.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
912.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
909.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
909.3
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
904.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
895.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
890.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
889.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
886.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
885.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
884.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
879.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
878.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
876.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
875.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
875.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
868.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
866.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
865.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
860.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
858.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
857.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
853.5
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
852.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
850.4
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
848.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
845.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
844.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
839.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
835.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
834.3
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
830.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
827.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
826.0
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
825.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
825.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
825.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
824.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
824.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
822.4
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
817.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
817.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
816.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
812.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
811.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
811.4
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
808.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
806.8
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
804.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
803.3
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
802.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
801.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
801.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
801.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
800.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
791.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
790.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
789.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
781.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
777.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
776.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
775.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
771.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
770.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
767.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
767.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
765.9
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
763.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
761.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
759.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
755.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
747.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
746.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
746.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
744.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
744.7
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
743.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
743.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
743.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
739.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
739.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
739.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
738.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
736.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
734.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
731.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
729.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
728.3
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
727.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
726.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
726.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
722.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
720.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
715.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
714.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
712.8
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
710.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
708.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
703.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
703.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
702.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
701.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
700.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
699.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
699.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
694.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
691.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
690.8
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
685.7
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
684.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
683.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
682.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
680.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
677.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
675.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
675.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
674.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
673.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
672.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
672.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
670.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
669.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
668.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
668.1
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
668.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
665.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
664.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
662.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
659.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
659.4
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
658.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
658.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
655.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
652.8
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
650.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
650.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
650.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
649.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
649.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
649.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
645.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
644.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
641.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
637.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
636.2
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
636.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
636.1
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
635.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
634.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
631.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
629.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
628.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
624.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
616.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
616.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
615.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
614.5
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
611.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
611.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
610.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
609.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
605.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
604.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
604.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
601.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
601.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
597.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
596.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
596.7
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
592.6
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
592.4
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
591.1
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
590.5
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
590.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
590.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
588.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
586.0
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
585.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
585.7
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
585.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
585.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
579.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
579.1
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
574.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
574.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
573.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
571.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
569.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
568.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
567.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
566.1
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
564.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
564.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
563.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
557.8
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
557.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
556.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
553.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
553.4
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
553.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
552.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
552.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
549.8
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
549.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
548.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
547.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
545.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
544.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
543.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
541.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
541.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
540.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
538.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
535.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
532.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
531.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
530.2
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
529.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
527.1
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
526.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
525.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
524.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
523.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
516.0
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
516.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
514.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
514.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
512.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
510.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
510.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
510.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
509.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
509.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
509.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
508.5
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
508.0
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
507.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
503.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
503.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
500.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
498.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
497.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
496.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
496.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
495.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
489.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
489.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
487.6
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
485.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
485.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
485.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
484.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
481.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
480.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
477.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
474.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
471.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
470.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
469.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
467.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
467.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
467.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
464.4
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
464.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
463.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
463.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
462.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
461.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
460.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
457.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
457.1
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
457.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
456.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
456.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
456.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
455.4
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
453.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
451.4
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
450.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
449.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
447.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
445.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
442.6
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
441.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
441.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
440.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
438.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
437.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
437.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
437.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
432.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
432.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
430.7
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
430.5
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
426.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
425.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
423.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
423.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
422.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
422.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
418.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
414.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
413.6
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
411.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
411.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
409.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
401.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
401.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
399.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
393.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
390.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
386.8
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
385.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
381.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
381.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
378.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
374.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
371.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
371.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
369.5
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
364.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
362.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
362.3
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
359.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
354.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
353.5
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
349.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
338.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
337.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
328.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
327.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
326.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
321.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
319.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
317.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
314.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
306.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
298.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
297.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
292.0
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
291.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
286.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
283.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
253.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
243.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
164.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
37.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ANXA2 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
825.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
2167.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
1985.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1849.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
1389.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
1326.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
1306.3
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
1275.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
1246.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
1245.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
1241.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1221.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
1208.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
1198.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
1179.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
1166.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
1140.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1118.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1108.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1093.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
1050.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
1031.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
1030.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
1016.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1015.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1000.5
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
978.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
969.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
954.9
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
953.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
944.8
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
943.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
921.8
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
918.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
886.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
873.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
862.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
850.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
840.4
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
834.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
821.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
820.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
799.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
789.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
762.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
762.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
756.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
750.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
741.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
736.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
713.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
689.8
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
684.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
681.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
678.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
660.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
651.2
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
649.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
636.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
624.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
621.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
607.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
601.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
601.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
598.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
585.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
571.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
570.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
570.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
563.6
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
548.0
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
546.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
535.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
532.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
490.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
484.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
471.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
445.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
437.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
424.7
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
413.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
409.6
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
393.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
381.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
366.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
332.5
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
277.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
262.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 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.
ANXA2 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
630.8
Number of samples
207
Samples
Sample
Description
TPM
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
2084.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
1994.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
1790.8
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
1653.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
1445.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
1295.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
1240.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
1232.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
1225.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
1221.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
1196.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
1145.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
1127.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
1103.2
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
1101.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
1076.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
1034.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
1014.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
1000.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
966.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
959.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
957.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
957.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
939.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
928.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
919.7
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
917.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
914.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
914.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
910.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
882.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
873.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
862.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
854.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
846.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
846.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
833.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
833.6
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
814.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
808.9
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
803.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
795.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
794.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
793.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
788.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
785.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
782.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
780.2
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
776.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
776.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
760.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
746.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
733.8
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
729.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
724.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
723.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
719.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
718.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
717.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
715.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
711.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
708.3
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
707.1
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
704.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
701.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
689.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
685.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
684.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
682.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
679.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
674.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
673.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
665.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
663.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
660.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
657.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
655.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
652.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
649.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
637.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
632.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
632.4
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
630.0
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
629.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
626.9
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
622.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
621.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
597.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
596.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
594.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
594.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
590.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
588.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
588.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
580.2
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
576.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
571.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
571.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
569.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
568.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
564.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
559.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
556.1
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
552.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
548.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
547.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
546.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
545.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
545.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
543.3
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
542.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
540.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
539.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
535.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
534.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
532.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
532.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
528.5
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
526.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
525.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
522.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
522.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
519.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
511.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
508.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
506.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
503.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
502.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
502.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
498.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
497.7
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
497.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
496.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
494.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
492.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
491.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
486.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
484.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
472.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
467.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
466.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
466.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
466.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
464.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
462.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
457.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
456.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
452.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
450.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
443.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
442.7
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
440.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
439.7
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
429.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
429.6
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
427.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
424.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
422.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
421.2
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
416.3
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
413.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
412.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
412.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
412.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
411.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
410.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
408.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
408.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
407.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
404.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
403.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
401.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
397.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
390.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
388.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
387.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
385.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
384.7
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
384.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
384.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
383.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
380.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
377.0
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
376.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
373.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
372.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
372.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
369.1
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
364.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
352.5
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
348.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
344.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
340.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
335.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
324.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
322.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
321.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
314.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
313.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
272.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
270.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
263.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
240.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
236.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
234.8
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
208.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
40.7
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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
1.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.6
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.5
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.5
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.4
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.4
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.1
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
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Normal
0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.0
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Normal
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
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Tumor
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.0
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.0
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
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Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
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Tumor
-0.2
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.2
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.2
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
b2400046-1d25-429d-a821-6040a6
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.3
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.4
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Normal
-0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.4
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Normal
-0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.5
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.5
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Tumor
-0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.6
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.9
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.