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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.
MIF 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
911.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3243.6
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
2453.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
2229.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
2157.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2117.3
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1872.7
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1839.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1833.5
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1827.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1823.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
1807.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1787.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1683.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1680.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1679.9
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1662.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1595.2
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1593.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1553.9
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1538.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1531.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1527.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1521.3
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1476.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
1473.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
1453.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1453.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
1450.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1436.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1422.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1401.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
1392.3
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
1375.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1370.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1360.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1347.8
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1342.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
1333.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
1331.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
1326.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1323.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
1305.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
1293.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1271.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1263.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
1247.2
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1236.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
1232.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1227.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1220.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1197.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
1196.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
1187.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
1187.5
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1182.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1178.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1176.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1155.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
1153.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
1135.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
1134.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
1131.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1131.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1127.2
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1122.0
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
1121.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
1105.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1102.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1097.9
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1097.0
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
1095.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
1092.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
1091.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
1088.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1087.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1078.8
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1075.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
1070.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1069.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
1062.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
1045.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
1039.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
1036.1
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
1032.3
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
1030.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
1026.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1024.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
1021.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
1014.0
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1012.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1010.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1007.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1003.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
996.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
991.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
984.9
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
983.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
983.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
983.1
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
969.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
968.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
966.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
965.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
962.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
962.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
954.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
940.4
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
938.8
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
938.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
935.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
932.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
931.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
925.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
924.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
922.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
921.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
919.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
910.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
904.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
901.0
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
897.5
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
894.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
889.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
884.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
882.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
881.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
881.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
879.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
876.7
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
874.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
872.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
867.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
861.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
859.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
847.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
831.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
828.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
826.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
821.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
819.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
814.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
804.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
795.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
792.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
787.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
783.6
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
783.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
779.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
777.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
774.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
773.8
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
771.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
769.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
762.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
759.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
759.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
757.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
755.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
743.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
739.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
735.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
733.1
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
731.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
730.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
708.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
707.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
702.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
693.6
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
689.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
681.6
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
676.2
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
673.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
670.1
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
668.3
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
650.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
650.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
647.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
646.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
640.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
629.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
625.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
619.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
610.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
610.4
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
602.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
600.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
599.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
590.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
589.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
585.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
581.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
576.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
573.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
571.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
564.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
556.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
552.4
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
546.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
544.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
543.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
541.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
529.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
523.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
519.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
519.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
514.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
514.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
513.4
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
505.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
502.3
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
498.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
495.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
490.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
489.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
489.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
477.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
476.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
476.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
468.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
468.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
467.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
466.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
458.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
451.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
439.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
428.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
425.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
413.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
403.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
400.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
397.3
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
395.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
393.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
393.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
393.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
388.8
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
375.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
371.9
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
371.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
355.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
347.5
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
344.4
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
339.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
335.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
317.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
310.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
298.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
298.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
298.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
268.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
259.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
199.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
78.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 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.
MIF 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
421.0
Number of samples
486
Samples
Sample
Description
TPM
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
1107.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
995.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
935.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
929.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
895.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
892.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
887.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
883.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
844.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
836.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
833.7
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
831.6
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
816.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
816.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
813.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
809.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
794.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
786.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
781.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
776.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
763.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
761.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
747.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
746.8
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
736.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
733.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
722.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
717.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
707.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
706.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
704.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
698.4
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
691.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
691.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
688.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
680.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
679.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
676.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
669.4
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
661.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
661.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
660.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
660.2
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
657.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
655.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
654.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
653.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
652.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
652.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
652.6
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
650.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
645.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
642.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
639.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
638.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
636.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
631.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
631.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
630.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
627.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
625.6
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
619.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
612.0
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
609.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
605.9
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
605.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
601.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
597.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
596.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
595.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
595.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
595.3
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
595.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
594.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
591.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
590.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
589.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
588.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
583.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
581.5
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
580.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
578.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
576.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
576.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
576.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
575.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
575.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
575.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
573.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
570.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
568.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
567.8
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
565.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
559.2
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
557.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
556.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
553.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
552.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
550.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
549.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
549.4
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
548.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
548.4
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
545.6
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
542.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
542.0
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
540.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
540.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
539.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
537.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
536.4
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
536.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
535.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
533.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
533.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
529.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
526.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
525.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
524.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
524.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
523.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
523.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
522.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
521.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
521.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
520.4
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
518.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
517.5
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
515.9
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
512.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
511.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
511.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
510.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
507.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
506.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
504.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
503.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
502.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
499.2
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
497.1
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
496.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
495.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
493.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
492.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
491.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
491.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
490.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
490.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
489.7
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
489.5
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
489.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
488.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
487.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
487.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
484.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
484.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
484.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
481.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
480.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
480.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
479.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
479.0
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
478.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
477.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
474.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
474.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
472.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
472.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
472.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
470.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
469.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
469.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
468.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
468.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
467.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
465.6
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
464.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
463.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
463.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
459.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
458.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
458.6
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
458.5
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
456.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
456.7
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
455.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
451.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
450.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
448.8
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
448.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
446.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
446.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
446.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
446.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
446.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
445.8
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
445.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
445.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
443.9
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
442.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
439.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
439.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
439.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
439.1
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
438.9
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
438.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
437.4
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
435.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
435.3
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
435.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
434.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
433.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
433.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
432.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
431.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
430.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
430.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
429.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
428.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
428.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
427.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
426.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
425.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
424.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
421.6
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
421.5
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
420.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
419.8
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
419.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
419.6
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
419.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
418.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
418.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
417.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
416.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
416.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
415.7
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
415.0
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
414.5
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
414.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
414.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
414.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
412.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
410.9
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
409.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
407.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
406.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
406.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
405.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
405.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
404.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
403.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
402.0
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
399.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
398.6
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
396.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
392.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
392.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
391.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
390.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
389.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
389.1
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
389.0
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
388.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
386.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
385.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
385.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
384.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
382.9
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
382.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
382.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
381.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
379.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
379.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
377.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
377.1
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
377.0
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
375.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
375.0
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
375.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
374.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
374.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
374.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
373.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
372.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
371.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
370.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
369.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
368.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
367.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
367.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
366.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
366.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
365.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
365.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
364.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
358.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
357.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
357.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
355.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
354.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
354.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
354.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
350.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
350.8
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
350.8
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
347.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
346.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
346.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
342.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
341.9
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
338.2
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
337.1
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
336.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
335.4
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
333.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
333.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
330.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
327.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
324.9
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
324.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
324.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
323.9
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
323.3
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
320.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
319.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
319.1
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
318.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
318.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
315.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
314.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
314.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
313.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
313.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
313.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
312.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
310.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
310.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
309.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
308.8
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
308.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
307.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
305.1
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
304.0
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
303.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
303.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
302.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
302.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
302.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
300.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
300.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
300.0
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
299.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
296.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
294.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
294.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
294.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
293.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
292.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
292.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
291.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
290.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
289.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
289.5
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
288.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
288.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
287.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
287.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
286.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
285.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
284.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
284.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
283.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
282.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
279.6
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
279.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
279.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
276.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
276.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
273.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
273.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
272.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
272.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
271.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
268.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
267.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
266.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
265.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
265.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
265.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
265.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
264.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
264.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
263.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
262.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
259.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
258.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
258.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
257.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
257.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
256.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
254.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
254.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
253.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
252.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
251.9
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
250.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
250.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
248.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
246.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
246.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
246.2
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
246.0
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
245.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
245.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
245.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
245.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
244.1
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
243.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
241.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
240.7
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
239.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
237.9
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
235.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
234.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
232.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
232.3
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
232.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
231.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
231.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
230.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
230.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
227.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
226.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
226.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
226.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
224.2
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
223.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
223.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
222.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
221.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
217.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
217.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
217.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
217.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
215.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
214.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
212.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
212.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
210.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
208.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
205.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
204.8
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
201.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
200.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
200.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
196.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
194.8
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
194.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
191.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
186.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
183.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
179.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
178.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
178.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
178.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
175.1
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
170.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
164.0
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
163.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
157.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
157.1
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
155.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
151.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
151.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
149.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
149.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
148.5
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
148.2
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
144.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
125.0
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
118.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
110.8
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
89.9
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
11.4
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.
MIF 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
749.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1630.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1556.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1511.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1432.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1417.0
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1412.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
1293.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1273.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
1214.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
1201.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
1120.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1113.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1091.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
1039.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1030.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
991.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
972.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
971.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
969.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
947.6
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
925.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
920.9
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
907.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
899.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
888.3
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
884.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
873.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
871.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
868.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
868.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
848.9
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
831.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
814.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
814.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
813.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
805.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
791.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
775.6
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
775.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
775.5
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
744.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
742.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
725.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
716.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
713.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
710.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
700.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
672.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
667.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
661.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
660.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
660.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
656.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
641.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
628.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
613.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
607.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
600.5
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
577.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
576.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
568.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
552.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
539.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
538.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
537.9
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
529.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
527.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
466.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
459.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
451.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
451.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
450.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
443.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
411.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
409.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
406.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
397.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
368.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
350.3
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
350.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
316.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
314.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
311.2
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
292.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
288.6
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
266.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
264.6
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 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.
MIF 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
335.1
Number of samples
207
Samples
Sample
Description
TPM
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
836.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
764.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
747.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
706.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
687.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
685.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
681.8
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
653.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
652.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
639.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
636.5
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
616.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
596.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
582.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
571.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
549.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
548.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
542.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
539.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
535.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
516.9
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
510.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
509.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
509.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
502.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
500.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
497.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
494.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
488.1
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
483.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
479.3
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
474.7
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
471.6
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
466.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
454.6
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
449.5
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
447.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
444.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
441.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
437.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
433.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
431.3
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
431.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
430.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
426.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
425.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
423.1
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
422.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
421.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
416.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
412.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
410.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
409.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
409.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
408.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
407.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
400.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
398.4
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
395.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
393.7
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
392.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
389.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
387.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
387.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
382.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
378.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
377.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
375.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
371.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
369.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
365.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
365.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
363.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
361.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
361.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
358.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
357.6
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
357.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
356.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
352.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
351.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
351.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
349.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
349.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
346.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
345.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
342.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
342.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
341.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
341.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
341.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
339.3
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
338.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
330.8
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
330.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
329.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
326.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
325.6
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
324.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
318.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
317.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
316.6
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
309.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
306.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
306.0
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
306.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
304.9
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
304.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
303.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
301.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
298.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
295.6
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
293.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
291.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
288.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
286.1
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
285.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
284.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
283.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
283.6
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
282.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
282.6
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
281.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
281.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
281.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
280.4
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
280.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
279.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
279.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
278.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
277.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
276.7
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
275.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
270.8
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
268.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
264.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
263.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
261.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
260.8
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
260.8
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
260.5
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
259.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
256.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
251.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
247.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
246.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
243.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
243.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
242.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
242.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
241.9
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
239.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
236.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
235.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
234.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
234.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
234.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
233.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
232.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
228.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
225.2
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
225.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
219.8
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
218.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
217.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
216.4
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
214.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
214.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
212.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
210.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
208.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
207.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
203.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
201.0
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
200.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
189.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
188.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
187.5
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
186.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
186.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
185.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
184.2
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
181.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
181.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
180.6
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
177.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
177.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
175.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
174.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
167.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
166.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
159.7
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
158.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
157.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
155.3
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
151.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
150.7
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
149.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
141.1
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
140.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
140.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
139.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
137.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
131.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
124.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
103.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b2400046-1d25-429d-a821-6040a6
Tumor
1.5
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.2
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
1.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
1.0
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.0
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
1.0
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.8
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.8
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.6
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.5
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.3
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
8cc7e656-0152-4359-8566-0581c3
Tumor
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.0
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.0
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.2
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.2
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.4
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.4
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.4
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.5
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.5
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.5
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.5
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.5
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.5
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.5
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.5
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.5
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.5
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.6
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.6
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.6
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.6
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.6
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.6
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.6
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.6
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.6
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.6
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.6
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.7
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.7
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.7
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.7
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.7
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.7
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.7
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.7
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.7
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.7
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.7
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.7
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.7
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.8
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.8
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.8
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.8
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.8
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.8
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.8
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.9
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.9
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.9
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.9
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.9
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.9
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.9
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-1.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.0
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.0
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-1.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.1
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.2
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-1.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-1.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-1.2
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.3
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.5
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
