We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
ATP5MC2 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
646.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
1283.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
1068.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1050.2
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1037.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
1009.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
1001.0
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
1000.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
968.6
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
967.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
959.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
931.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
921.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
919.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
918.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
916.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
910.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
893.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
883.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
871.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
863.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
862.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
860.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
855.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
855.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
850.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
848.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
847.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
846.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
845.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
840.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
839.2
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
838.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
837.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
834.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
832.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
826.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
825.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
825.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
815.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
811.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
800.2
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
795.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
793.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
792.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
789.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
786.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
779.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
776.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
773.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
772.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
771.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
770.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
770.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
766.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
765.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
765.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
764.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
764.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
759.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
753.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
752.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
742.9
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
742.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
739.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
738.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
735.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
734.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
733.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
733.7
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
729.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
727.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
726.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
720.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
719.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
716.0
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
712.6
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
712.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
712.1
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
711.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
711.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
710.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
707.8
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
706.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
704.1
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
703.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
703.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
702.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
698.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
698.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
696.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
696.5
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
694.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
693.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
692.6
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
692.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
686.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
681.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
680.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
679.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
676.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
673.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
671.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
671.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
671.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
669.8
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
669.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
668.7
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
667.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
665.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
664.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
663.3
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
660.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
659.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
657.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
655.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
651.5
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
651.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
648.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
647.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
645.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
640.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
639.4
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
637.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
637.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
636.4
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
635.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
634.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
633.9
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
632.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
632.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
631.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
630.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
630.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
629.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
629.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
628.5
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
628.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
627.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
624.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
623.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
623.2
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
622.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
620.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
614.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
614.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
613.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
612.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
611.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
608.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
606.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
604.6
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
604.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
604.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
602.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
602.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
598.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
598.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
597.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
596.6
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
596.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
595.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
589.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
589.3
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
583.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
582.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
581.6
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
581.4
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
581.2
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
580.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
579.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
579.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
579.5
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
577.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
577.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
576.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
576.5
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
569.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
568.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
567.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
565.8
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
562.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
559.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
559.3
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
556.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
556.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
555.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
554.8
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
548.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
548.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
547.5
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
547.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
545.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
544.5
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
542.0
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
540.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
539.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
539.4
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
538.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
537.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
537.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
535.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
535.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
533.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
532.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
531.6
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
528.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
527.9
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
527.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
525.4
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
525.3
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
523.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
522.4
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
521.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
521.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
504.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
499.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
492.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
488.0
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
486.3
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
480.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
476.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
475.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
474.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
471.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
468.5
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
464.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
463.1
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
458.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
455.4
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
449.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
448.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
447.3
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
444.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
443.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
439.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
437.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
436.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
436.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
421.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
416.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
412.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
411.1
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
395.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
383.2
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
370.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
368.4
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
353.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
347.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
265.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
234.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
184.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
176.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
168.6
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 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.
ATP5MC2 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
290.2
Number of samples
486
Samples
Sample
Description
TPM
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
571.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
510.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
507.0
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
506.8
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
505.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
503.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
493.9
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
483.3
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
481.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
477.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
475.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
467.3
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
465.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
465.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
464.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
464.0
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
454.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
454.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
452.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
447.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
445.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
444.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
439.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
437.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
435.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
427.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
424.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
421.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
418.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
418.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
417.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
417.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
417.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
416.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
415.8
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
411.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
410.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
410.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
409.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
403.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
397.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
397.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
394.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
394.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
392.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
389.4
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
388.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
388.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
386.4
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
384.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
384.3
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
384.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
383.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
381.9
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
380.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
379.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
379.4
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
379.2
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
378.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
378.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
377.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
376.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
376.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
375.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
374.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
373.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
372.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
367.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
367.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
364.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
363.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
362.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
361.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
360.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
360.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
355.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
355.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
354.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
354.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
354.8
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
353.8
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
353.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
353.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
352.9
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
352.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
351.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
351.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
350.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
350.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
350.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
349.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
349.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
348.7
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
348.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
348.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
347.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
347.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
347.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
346.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
346.4
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
345.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
344.5
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
344.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
343.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
343.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
343.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
341.6
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
340.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
340.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
338.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
338.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
336.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
335.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
335.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
335.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
335.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
334.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
334.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
333.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
332.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
332.3
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
331.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
331.0
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
330.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
330.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
330.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
330.1
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
329.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
328.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
328.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
328.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
327.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
326.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
326.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
326.1
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
326.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
325.8
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
325.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
325.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
324.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
323.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
323.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
322.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
322.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
321.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
320.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
320.2
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
320.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
319.5
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
316.7
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
316.2
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
314.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
314.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
314.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
314.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
313.8
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
312.2
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
312.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
311.9
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
311.8
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
310.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
310.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
310.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
310.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
309.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
309.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
309.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
309.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
309.0
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
308.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
308.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
307.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
307.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
307.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
306.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
306.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
306.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
305.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
305.5
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
305.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
304.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
304.7
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
304.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
304.5
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
304.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
304.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
303.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
303.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
303.1
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
303.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
302.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
302.4
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
300.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
300.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
299.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
298.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
298.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
298.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
298.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
298.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
297.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
297.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
297.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
297.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
296.9
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
296.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
296.5
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
296.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
296.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
296.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
296.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
295.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
294.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
294.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
293.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
293.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
293.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
293.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
292.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
292.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
291.7
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
291.4
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
291.0
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
290.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
290.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
290.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
290.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
290.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
289.7
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
289.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
289.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
288.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
288.0
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
287.9
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
287.9
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
287.7
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
287.3
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
287.3
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
286.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
286.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
286.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
285.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
285.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
284.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
284.3
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
283.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
283.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
282.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
282.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
280.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
280.4
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
280.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
280.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
279.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
279.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
279.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
278.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
276.8
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
276.7
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
276.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
276.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
275.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
274.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
274.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
274.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
274.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
274.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
274.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
273.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
272.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
272.8
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
272.1
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
271.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
271.4
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
271.1
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
270.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
270.2
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
270.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
269.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
269.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
269.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
269.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
269.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
269.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
268.7
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
268.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
268.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
268.2
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
267.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
267.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
267.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
266.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
265.6
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
265.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
265.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
264.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
263.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
263.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
262.9
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
262.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
262.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
262.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
262.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
261.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
260.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
260.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
260.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
260.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
260.2
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
260.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
259.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
258.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
258.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
258.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
257.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
257.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
257.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
256.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
256.6
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
255.9
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
255.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
255.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
255.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
254.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
253.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
252.8
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
252.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
251.9
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
251.7
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
251.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
250.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
250.4
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
250.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
250.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
249.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
248.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
248.8
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
248.6
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
248.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
248.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
248.0
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
247.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
247.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
247.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
247.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
246.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
246.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
246.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
246.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
246.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
246.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
245.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
245.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
245.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
245.4
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
245.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
244.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
243.5
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
243.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
243.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
242.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
242.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
241.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
240.7
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
240.6
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
240.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
240.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
240.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
239.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
238.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
238.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
237.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
237.2
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
237.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
237.1
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
237.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
236.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
236.9
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
236.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
236.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
236.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
236.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
235.8
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
234.3
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
234.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
234.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
232.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
232.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
231.8
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
230.9
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
230.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
230.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
229.7
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
229.6
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
228.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
227.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
227.4
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
227.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
226.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
226.4
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
226.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
225.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
225.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
225.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
225.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
224.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
224.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
223.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
223.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
223.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
223.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
222.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
222.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
222.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
221.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
221.4
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
219.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
217.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
215.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
215.4
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
215.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
214.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
214.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
214.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
214.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
213.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
213.7
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
213.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
212.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
209.6
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
209.3
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
208.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
208.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
205.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
205.8
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
204.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
203.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
203.8
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
202.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
202.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
201.6
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
200.3
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
200.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
199.4
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
199.4
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
199.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
198.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
198.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
197.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
194.6
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
194.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
193.8
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
193.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
192.6
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
192.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
190.8
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
188.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
185.9
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
184.8
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
183.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
183.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
181.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
179.2
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
177.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
176.7
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
176.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
176.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
175.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
174.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
172.9
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
171.3
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
168.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
167.5
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
167.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
166.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
164.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
162.0
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
161.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
154.8
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
149.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
137.0
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
132.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
128.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
91.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
4.2
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.
ATP5MC2 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
635.6
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
1118.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
1051.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
1001.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
964.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
961.5
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
945.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
940.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
912.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
898.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
892.6
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
867.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
866.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
838.2
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
835.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
835.2
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
825.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
782.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
766.2
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
750.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
742.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
739.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
734.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
729.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
726.4
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
725.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
720.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
709.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
695.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
691.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
690.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
686.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
671.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
651.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
649.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
647.1
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
646.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
642.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
641.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
621.9
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
621.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
619.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
618.3
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
617.4
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
617.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
612.6
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
609.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
608.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
603.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
590.5
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
589.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
587.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
577.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
577.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
576.3
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
571.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
561.8
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
549.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
544.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
541.2
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
539.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
530.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
525.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
518.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
513.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
510.7
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
509.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
509.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
509.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
497.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
495.3
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
494.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
493.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
493.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
484.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
451.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
445.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
443.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
430.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
423.3
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
418.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
414.2
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
409.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
404.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
392.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
389.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
384.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
361.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 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.
ATP5MC2 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
253.8
Number of samples
207
Samples
Sample
Description
TPM
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
637.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
474.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
471.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
416.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
415.7
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
415.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
413.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
412.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
407.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
396.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
385.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
385.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
377.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
376.6
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
376.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
374.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
369.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
366.7
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
363.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
358.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
350.4
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
349.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
348.4
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
347.6
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
345.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
343.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
342.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
335.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
332.0
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
330.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
330.2
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
328.3
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
326.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
325.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
324.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
321.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
321.1
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
320.0
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
320.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
318.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
317.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
312.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
310.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
307.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
306.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
305.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
304.6
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
301.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
300.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
299.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
299.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
299.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
298.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
293.1
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
288.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
288.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
286.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
286.4
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
285.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
285.0
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
284.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
284.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
284.2
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
282.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
282.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
282.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
280.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
280.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
277.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
273.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
273.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
272.9
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
272.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
271.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
271.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
270.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
269.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
268.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
268.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
267.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
266.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
265.8
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
263.7
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
262.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
261.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
261.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
260.0
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
259.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
253.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
253.0
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
253.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
252.2
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
250.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
248.7
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
248.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
247.6
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
246.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
246.1
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
246.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
244.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
243.8
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
243.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
242.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
242.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
241.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
238.9
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
238.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
238.3
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
237.7
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
237.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
237.4
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
236.6
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
236.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
235.9
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
234.3
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
234.1
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
233.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
233.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
231.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
230.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
229.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
229.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
229.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
229.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
225.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
225.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
224.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
224.1
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
224.1
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
224.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
223.1
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
222.6
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
222.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
222.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
220.6
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
220.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
219.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
219.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
218.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
217.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
216.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
215.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
214.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
214.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
212.1
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
210.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
210.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
210.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
209.6
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
209.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
208.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
207.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
207.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
207.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
207.1
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
206.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
206.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
205.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
205.0
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
204.5
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
200.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
199.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
198.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
198.0
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
196.9
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
196.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
195.3
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
195.0
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
194.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
191.9
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
189.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
188.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
187.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
185.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
182.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
180.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
177.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
176.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
176.0
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
175.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
175.3
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
174.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
171.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
171.1
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
168.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
167.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
165.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
165.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
163.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
159.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
158.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
156.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
154.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
151.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
150.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
146.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
144.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
143.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
141.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
140.0
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
129.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
129.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
126.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
123.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
115.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
111.1
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.5
Show allShow less
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.