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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.
ATP5MF 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
724.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1895.5
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1472.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
1429.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1411.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1367.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1351.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
1306.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1281.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1214.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1170.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1166.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
1135.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
1117.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
1115.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
1101.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1095.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
1092.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1058.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1054.1
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1053.1
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1049.5
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
1049.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1048.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
1034.0
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
1033.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1029.4
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1027.4
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1024.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1019.2
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
1015.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1014.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
986.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
981.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
977.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
973.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
959.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
952.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
946.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
944.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
935.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
931.4
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
924.8
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
924.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
919.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
918.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
917.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
916.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
912.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
911.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
909.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
908.2
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
899.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
892.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
888.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
882.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
876.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
875.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
873.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
871.4
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
857.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
855.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
854.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
850.5
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
843.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
839.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
839.3
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
837.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
835.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
832.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
828.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
827.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
827.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
822.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
821.4
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
820.5
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
815.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
813.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
813.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
808.4
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
807.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
803.7
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
802.2
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
797.6
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
795.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
791.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
790.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
790.1
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
784.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
779.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
777.2
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
777.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
773.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
770.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
764.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
762.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
760.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
758.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
753.7
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
746.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
743.7
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
741.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
741.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
736.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
736.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
735.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
734.4
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
731.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
731.1
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
728.3
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
728.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
726.5
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
721.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
717.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
715.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
714.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
709.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
709.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
708.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
707.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
707.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
706.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
706.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
702.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
701.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
701.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
699.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
698.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
698.5
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
692.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
684.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
683.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
682.1
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
681.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
681.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
674.8
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
667.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
667.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
667.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
662.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
661.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
659.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
658.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
654.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
653.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
651.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
645.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
643.7
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
641.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
640.3
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
639.9
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
639.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
638.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
634.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
628.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
622.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
622.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
620.9
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
616.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
615.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
613.9
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
613.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
612.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
609.1
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
607.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
607.3
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
606.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
605.9
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
605.7
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
604.1
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
602.1
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
600.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
599.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
598.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
596.6
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
593.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
592.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
591.6
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
591.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
587.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
587.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
584.2
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
575.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
575.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
572.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
571.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
570.1
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
568.9
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
567.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
566.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
565.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
559.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
559.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
556.0
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
554.1
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
553.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
552.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
551.8
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
545.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
544.7
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
540.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
539.3
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
538.9
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
535.9
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
532.2
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
531.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
527.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
526.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
522.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
519.2
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
517.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
517.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
515.3
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
515.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
514.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
514.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
513.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
512.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
509.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
509.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
504.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
500.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
498.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
496.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
494.0
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
492.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
491.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
491.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
490.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
489.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
489.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
484.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
484.1
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
479.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
476.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
474.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
469.2
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
466.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
464.9
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
431.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
418.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
417.4
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
405.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
404.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
396.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
386.7
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
374.3
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
358.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
341.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
336.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
316.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
314.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
301.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
281.6
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 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.
ATP5MF 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
390.0
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
876.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
870.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
756.3
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
745.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
720.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
716.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
690.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
689.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
686.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
685.4
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
683.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
675.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
672.3
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
670.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
669.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
665.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
646.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
645.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
643.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
635.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
630.6
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
619.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
619.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
616.1
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
612.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
611.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
611.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
605.0
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
604.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
581.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
577.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
574.4
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
569.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
568.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
565.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
560.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
559.6
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
557.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
551.3
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
548.2
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
542.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
540.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
539.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
538.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
536.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
536.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
532.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
531.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
529.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
522.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
521.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
515.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
515.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
514.6
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
514.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
513.6
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
512.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
508.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
508.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
507.6
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
505.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
504.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
503.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
503.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
502.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
501.5
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
501.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
499.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
498.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
497.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
497.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
497.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
496.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
494.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
489.7
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
488.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
487.5
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
485.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
485.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
484.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
483.8
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
482.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
482.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
481.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
480.7
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
477.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
477.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
477.5
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
475.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
474.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
473.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
473.3
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
472.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
470.7
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
470.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
468.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
467.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
466.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
465.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
465.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
464.7
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
464.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
464.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
463.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
463.2
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
461.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
458.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
458.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
456.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
453.7
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
452.8
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
450.0
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
449.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
449.0
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
448.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
448.6
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
448.6
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
448.0
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
448.0
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
447.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
446.4
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
445.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
444.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
443.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
442.6
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
441.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
440.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
438.2
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
437.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
436.7
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
436.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
435.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
435.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
435.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
432.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
431.7
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
430.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
430.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
429.4
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
428.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
428.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
427.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
427.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
426.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
426.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
426.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
426.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
425.9
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
425.5
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
425.5
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
424.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
424.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
423.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
423.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
422.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
422.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
421.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
421.1
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
420.5
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
420.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
420.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
419.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
419.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
419.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
419.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
419.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
418.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
417.4
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
417.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
416.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
415.8
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
415.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
414.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
414.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
414.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
413.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
412.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
411.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
411.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
409.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
409.4
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
408.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
407.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
407.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
407.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
406.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
406.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
405.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
405.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
405.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
405.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
404.9
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
404.8
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
404.8
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
404.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
404.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
403.8
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
403.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
402.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
400.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
400.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
399.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
397.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
397.7
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
397.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
397.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
397.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
396.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
395.5
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
395.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
395.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
394.7
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
394.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
394.6
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
394.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
394.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
394.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
393.4
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
393.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
392.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
392.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
391.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
390.3
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
389.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
388.7
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
387.5
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
387.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
386.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
383.9
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
383.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
382.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
382.4
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
381.9
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
381.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
381.5
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
381.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
381.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
381.1
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
380.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
379.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
379.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
379.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
377.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
377.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
377.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
377.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
376.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
375.5
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
374.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
373.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
373.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
372.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
371.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
371.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
371.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
371.2
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
369.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
369.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
369.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
368.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
368.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
366.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
366.3
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
365.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
365.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
365.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
364.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
362.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
362.3
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
362.0
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
362.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
361.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
360.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
360.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
359.6
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
359.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
358.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
358.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
357.1
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
356.9
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
356.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
355.7
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
355.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
355.1
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
354.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
354.5
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
354.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
354.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
353.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
352.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
352.6
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
351.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
351.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
351.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
350.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
350.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
350.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
350.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
349.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
349.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
349.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
348.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
348.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
348.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
347.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
347.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
346.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
346.4
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
346.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
345.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
342.5
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
342.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
342.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
342.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
341.9
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
341.9
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
341.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
341.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
341.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
340.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
339.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
339.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
337.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
337.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
337.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
336.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
336.2
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
335.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
335.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
334.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
334.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
334.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
333.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
332.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
332.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
332.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
331.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
331.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
331.3
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
330.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
330.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
330.0
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
327.8
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
327.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
327.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
326.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
326.0
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
325.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
325.2
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
324.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
324.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
323.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
321.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
321.2
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
320.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
320.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
317.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
316.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
316.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
315.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
315.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
315.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
315.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
313.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
313.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
312.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
312.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
311.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
311.2
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
310.5
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
310.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
309.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
308.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
308.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
307.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
306.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
305.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
304.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
304.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
304.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
304.4
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
303.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
303.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
302.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
301.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
301.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
301.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
299.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
299.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
298.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
297.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
296.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
296.6
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
295.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
295.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
295.0
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
293.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
293.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
293.0
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
292.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
292.6
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
288.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
287.7
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
287.6
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
287.4
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
286.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
286.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
285.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
285.2
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
284.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
284.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
284.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
284.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
284.2
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
283.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
282.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
280.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
280.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
280.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
280.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
278.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
277.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
277.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
276.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
276.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
275.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
275.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
274.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
273.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
273.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
272.5
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
271.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
270.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
268.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
268.8
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
268.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
267.5
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
267.3
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
266.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
265.8
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
265.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
265.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
264.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
261.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
261.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
261.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
260.7
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
260.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
260.1
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
258.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
257.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
254.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
254.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
251.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
249.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
249.4
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
247.6
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
247.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
247.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
245.5
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
245.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
244.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
242.7
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
241.1
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
236.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
235.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
232.0
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
230.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
229.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
229.1
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
228.6
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
228.2
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
222.9
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
220.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
218.8
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
207.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
202.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
198.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
198.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
192.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
192.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
190.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
184.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
167.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
26.6
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATP5MF 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
762.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1693.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1481.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
1204.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1181.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
1176.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
1175.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
1116.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1055.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1040.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
1023.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1016.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1011.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
995.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
947.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
944.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
944.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
939.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
931.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
921.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
918.8
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
912.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
911.9
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
895.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
885.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
881.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
871.8
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
869.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
861.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
855.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
844.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
842.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
832.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
830.6
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
827.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
813.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
810.8
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
806.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
806.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
806.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
791.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
787.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
783.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
782.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
779.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
753.8
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
752.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
751.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
741.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
727.8
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
719.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
711.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
706.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
687.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
685.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
676.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
663.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
641.6
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
634.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
632.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
614.8
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
609.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
607.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
602.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
591.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
588.0
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
586.4
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
581.3
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
576.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
575.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
572.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
569.2
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
567.4
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
546.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
543.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
533.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
514.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
510.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
472.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
456.4
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
455.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
427.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
427.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
424.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
421.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
376.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
376.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
361.7
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.
ATP5MF 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
338.0
Number of samples
207
Samples
Sample
Description
TPM
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
727.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
667.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
585.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
580.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
568.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
553.6
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
545.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
539.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
522.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
516.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
512.1
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
501.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
500.4
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
494.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
487.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
486.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
485.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
483.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
482.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
480.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
478.4
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
473.7
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
472.2
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
468.0
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
468.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
465.4
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
465.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
464.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
463.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
460.4
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
448.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
446.6
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
443.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
438.3
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
437.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
435.5
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
431.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
431.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
430.9
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
428.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
424.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
421.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
420.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
419.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
415.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
414.1
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
409.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
408.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
407.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
406.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
401.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
401.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
401.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
396.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
395.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
394.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
393.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
388.4
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
386.7
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
385.3
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
384.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
375.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
375.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
374.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
374.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
374.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
371.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
371.4
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
370.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
370.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
370.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
369.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
367.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
365.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
362.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
362.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
361.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
360.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
359.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
356.1
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
355.2
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
354.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
353.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
353.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
353.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
350.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
349.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
349.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
348.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
348.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
346.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
343.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
343.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
342.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
341.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
341.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
338.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
336.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
336.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
335.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
334.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
332.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
332.8
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
331.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
330.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
329.0
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
328.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
327.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
326.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
322.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
320.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
318.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
318.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
315.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
313.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
313.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
310.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
307.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
305.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
304.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
304.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
302.3
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
299.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
299.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
298.4
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
295.6
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
295.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
294.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
293.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
292.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
292.7
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
291.8
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
287.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
286.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
286.0
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
283.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
283.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
283.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
281.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
279.8
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
279.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
276.2
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
274.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
273.6
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
271.4
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
271.0
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
269.6
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
268.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
266.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
266.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
266.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
265.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
265.3
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
263.4
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
263.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
263.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
260.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
258.0
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
257.8
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
256.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
254.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
250.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
250.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
249.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
249.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
249.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
248.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
247.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
243.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
243.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
242.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
242.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
241.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
240.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
240.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
240.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
234.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
233.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
233.0
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
229.9
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
228.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
227.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
225.9
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
224.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
223.0
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
221.1
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
219.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
218.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
217.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
216.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
214.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
214.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
210.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
208.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
208.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
207.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
202.4
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
197.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
192.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
189.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
189.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
187.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
181.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
177.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
156.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
144.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
65.8
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
