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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.
PPIB 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
735.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2508.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
1954.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1513.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
1417.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1377.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
1374.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1348.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
1304.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
1274.6
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
1212.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
1211.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
1196.4
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1179.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1176.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1165.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
1153.4
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1145.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
1137.4
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1133.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1131.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1127.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1124.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
1118.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1117.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
1104.8
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
1104.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
1103.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1095.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
1086.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
1084.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
1081.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1080.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
1071.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
1053.1
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1053.0
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1047.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
1034.8
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
1027.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1019.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
1017.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
1007.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
997.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
992.3
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
983.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
982.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
977.8
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
970.2
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
969.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
953.2
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
948.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
919.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
904.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
904.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
902.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
894.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
892.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
892.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
892.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
891.7
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
889.1
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
879.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
878.9
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
878.4
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
875.4
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
874.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
871.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
867.8
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
867.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
863.9
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
856.0
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
854.9
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
846.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
846.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
836.1
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
835.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
831.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
829.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
829.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
828.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
823.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
820.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
818.2
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
817.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
816.8
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
814.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
810.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
803.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
797.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
790.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
783.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
780.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
779.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
778.2
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
778.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
772.3
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
770.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
770.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
766.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
765.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
764.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
763.0
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
757.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
755.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
754.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
753.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
746.9
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
746.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
737.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
734.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
734.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
732.2
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
728.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
722.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
722.6
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
721.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
721.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
719.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
716.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
715.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
714.3
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
712.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
708.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
708.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
707.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
701.4
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
698.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
693.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
691.2
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
685.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
682.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
677.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
676.9
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
676.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
676.2
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
671.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
666.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
664.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
661.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
660.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
659.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
657.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
656.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
655.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
640.8
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
639.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
638.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
636.8
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
636.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
632.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
631.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
629.3
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
626.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
625.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
624.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
624.0
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
622.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
621.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
615.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
613.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
610.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
607.0
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
606.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
603.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
603.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
600.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
599.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
599.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
599.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
598.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
595.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
595.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
594.0
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
588.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
586.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
582.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
578.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
571.5
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
563.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
559.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
558.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
554.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
552.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
547.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
546.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
546.3
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
545.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
545.3
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
545.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
542.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
536.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
528.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
528.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
527.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
526.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
520.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
519.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
518.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
512.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
511.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
508.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
505.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
504.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
501.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
498.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
497.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
493.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
487.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
482.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
480.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
473.5
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
471.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
470.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
470.3
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
469.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
466.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
464.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
462.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
461.1
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
455.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
453.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
453.9
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
451.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
450.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
450.3
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
442.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
442.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
438.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
431.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
430.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
427.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
423.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
421.8
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
421.0
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
416.5
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
413.8
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
411.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
407.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
406.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
404.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
399.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
395.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
384.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
383.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
383.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
378.1
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
375.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
374.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
369.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
367.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
354.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
351.2
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
331.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
310.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 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.
PPIB 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
423.9
Number of samples
486
Samples
Sample
Description
TPM
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
1128.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
1118.0
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
1055.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
983.6
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
973.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
900.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
891.6
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
885.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
867.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
839.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
822.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
779.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
770.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
765.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
765.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
760.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
758.5
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
757.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
756.2
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
745.6
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
744.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
740.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
731.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
721.7
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
718.5
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
717.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
713.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
712.4
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
704.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
703.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
690.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
678.9
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
674.9
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
665.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
664.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
661.9
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
660.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
659.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
656.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
653.5
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
652.5
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
651.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
647.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
645.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
641.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
639.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
627.8
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
626.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
624.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
623.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
621.4
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
617.0
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
616.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
611.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
610.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
609.8
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
606.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
603.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
602.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
602.7
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
599.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
595.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
595.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
594.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
592.9
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
592.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
591.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
590.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
586.7
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
586.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
583.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
581.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
578.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
578.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
573.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
571.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
569.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
564.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
562.7
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
562.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
559.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
558.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
558.6
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
558.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
557.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
557.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
556.0
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
555.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
554.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
551.9
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
551.3
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
549.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
548.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
547.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
547.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
547.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
547.0
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
546.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
544.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
544.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
544.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
542.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
542.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
535.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
533.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
532.3
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
532.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
531.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
525.4
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
522.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
518.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
510.8
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
509.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
505.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
504.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
503.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
502.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
500.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
499.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
496.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
495.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
495.2
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
492.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
491.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
491.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
491.2
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
490.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
490.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
486.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
484.6
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
484.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
484.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
483.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
483.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
481.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
481.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
481.0
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
479.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
479.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
478.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
477.9
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
477.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
476.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
476.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
474.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
474.1
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
473.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
471.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
470.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
470.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
470.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
468.1
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
466.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
464.3
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
461.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
458.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
458.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
458.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
457.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
457.0
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
457.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
454.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
454.5
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
453.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
452.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
451.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
450.5
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
449.7
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
447.8
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
447.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
445.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
444.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
443.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
443.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
442.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
442.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
442.3
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
440.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
440.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
439.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
437.4
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
436.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
436.5
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
436.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
432.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
432.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
431.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
431.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
431.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
431.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
429.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
429.8
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
428.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
427.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
427.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
426.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
425.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
424.1
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
423.7
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
423.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
423.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
422.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
422.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
421.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
421.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
421.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
420.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
420.8
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
420.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
419.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
418.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
417.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
416.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
416.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
416.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
415.4
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
415.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
414.5
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
414.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
413.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
412.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
412.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
412.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
412.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
412.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
412.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
411.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
411.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
409.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
408.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
407.5
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
407.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
407.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
407.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
407.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
407.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
405.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
404.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
402.2
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
400.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
400.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
400.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
399.5
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
399.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
397.8
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
397.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
396.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
396.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
395.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
395.0
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
394.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
394.5
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
394.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
394.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
394.4
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
393.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
393.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
393.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
393.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
392.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
392.5
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
391.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
390.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
389.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
388.5
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
388.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
387.4
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
386.6
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
386.5
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
385.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
385.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
383.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
381.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
381.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
381.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
381.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
381.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
380.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
379.6
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
379.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
378.1
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
377.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
377.2
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
376.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
374.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
374.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
374.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
373.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
371.8
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
371.5
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
370.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
369.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
368.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
367.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
366.8
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
366.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
366.4
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
364.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
364.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
363.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
362.9
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
362.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
362.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
361.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
361.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
361.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
360.4
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
358.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
357.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
357.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
356.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
356.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
354.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
354.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
353.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
353.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
349.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
349.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
348.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
347.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
347.8
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
346.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
345.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
343.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
342.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
340.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
338.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
336.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
336.0
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
335.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
335.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
335.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
333.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
332.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
331.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
331.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
331.5
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
330.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
330.8
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
330.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
329.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
329.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
329.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
328.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
327.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
326.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
325.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
323.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
323.4
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
322.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
322.6
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
322.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
321.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
320.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
319.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
319.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
318.7
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
318.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
317.8
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
317.6
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
315.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
315.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
315.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
314.7
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
314.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
314.2
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
313.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
311.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
311.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
310.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
310.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
310.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
310.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
309.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
309.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
309.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
309.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
308.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
308.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
307.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
306.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
305.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
304.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
303.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
303.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
302.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
302.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
302.0
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
301.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
300.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
299.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
299.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
298.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
298.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
297.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
296.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
294.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
294.8
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
294.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
294.3
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
293.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
293.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
292.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
291.2
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
290.9
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
290.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
289.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
288.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
288.4
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
285.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
284.3
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
283.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
283.1
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
282.8
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
279.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
279.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
277.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
275.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
275.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
274.6
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
274.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
273.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
273.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
269.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
268.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
268.3
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
267.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
266.3
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
265.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
265.7
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
265.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
264.8
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
264.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
261.4
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
260.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
259.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
259.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
258.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
258.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
257.2
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
253.2
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
251.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
250.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
249.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
248.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
244.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
244.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
242.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
242.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
241.8
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
240.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
240.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
235.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
235.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
234.2
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
232.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
231.2
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
230.9
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
229.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
229.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
229.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
226.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
222.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
222.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
219.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
218.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
213.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
212.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
210.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
209.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
208.6
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
205.1
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
200.2
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
198.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
197.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
184.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
182.6
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
181.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
172.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
167.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
164.6
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
153.9
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
133.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
126.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
13.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PPIB 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
685.7
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1807.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1226.5
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1151.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1121.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1082.8
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
1064.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1029.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
1011.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
965.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
953.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
922.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
922.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
920.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
919.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
912.9
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
909.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
894.2
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
867.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
864.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
856.4
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
854.3
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
826.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
818.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
802.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
781.7
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
767.7
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
766.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
756.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
743.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
739.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
736.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
728.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
728.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
724.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
723.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
717.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
716.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
703.2
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
699.0
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
690.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
677.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
663.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
662.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
662.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
653.3
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
641.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
640.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
629.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
625.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
618.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
615.0
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
596.3
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
595.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
592.6
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
590.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
576.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
564.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
564.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
560.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
544.2
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
543.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
539.1
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
538.8
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
535.5
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
533.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
531.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
528.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
517.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
516.2
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
511.3
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
510.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
494.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
481.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
471.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
454.4
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
440.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
438.4
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
431.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
430.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
425.9
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
395.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
389.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
360.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
354.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
344.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
344.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 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.
PPIB 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
351.6
Number of samples
207
Samples
Sample
Description
TPM
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
762.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
728.7
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
647.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
631.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
616.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
598.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
591.7
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
587.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
573.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
546.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
543.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
530.3
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
529.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
524.0
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
518.4
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
514.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
499.9
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
498.2
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
494.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
489.5
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
481.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
480.5
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
478.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
477.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
476.7
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
475.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
469.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
468.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
464.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
458.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
454.3
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
453.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
451.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
451.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
451.0
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
447.5
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
446.9
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
446.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
443.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
438.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
429.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
420.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
416.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
412.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
409.8
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
409.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
408.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
407.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
407.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
406.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
404.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
403.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
401.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
400.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
400.0
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
398.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
394.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
394.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
392.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
392.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
391.1
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
389.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
389.0
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
386.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
385.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
381.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
379.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
378.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
377.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
374.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
374.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
373.5
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
373.5
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
373.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
369.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
369.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
368.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
366.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
363.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
363.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
363.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
363.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
362.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
360.5
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
360.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
359.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
359.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
357.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
356.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
354.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
354.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
353.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
353.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
348.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
348.3
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
347.6
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
346.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
344.0
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
342.2
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
339.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
338.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
336.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
336.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
335.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
335.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
335.3
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
335.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
334.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
334.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
333.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
332.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
331.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
330.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
330.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
330.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
330.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
329.3
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
327.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
325.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
324.2
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
324.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
323.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
322.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
321.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
319.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
318.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
316.2
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
315.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
315.0
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
315.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
312.2
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
311.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
310.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
307.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
304.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
303.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
302.8
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
301.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
300.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
299.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
298.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
297.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
297.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
296.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
295.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
294.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
290.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
289.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
287.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
287.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
284.1
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
283.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
281.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
280.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
280.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
279.8
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
278.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
278.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
278.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
275.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
275.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
274.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
273.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
273.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
271.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
269.5
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
268.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
266.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
265.1
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
265.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
264.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
263.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
261.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
259.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
258.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
255.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
255.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
253.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
253.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
251.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
247.8
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
246.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
245.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
245.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
244.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
240.7
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
237.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
236.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
235.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
231.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
224.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
222.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
222.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
221.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
216.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
215.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
212.0
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
210.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
190.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
188.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
183.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
179.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
172.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
172.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
154.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
122.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
3.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.9
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.7
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.7
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.6
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.5
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.5
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.5
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.4
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
43192517-085e-450e-9481-0a6713_D3
Tumor
0.4
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.3
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.3
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.3
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.3
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.3
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Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.2
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
0.1
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.0
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.0
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.0
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.0
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.2
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.3
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.3
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.5
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.5
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.5
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.5
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.5
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.5
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.9
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-1.0
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-1.0
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-1.0
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.