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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATP5ME 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
793.2
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
1931.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
1811.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
1712.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
1681.0
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
1607.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
1602.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
1564.3
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
1525.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1509.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1508.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
1403.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
1373.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
1370.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1346.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
1322.6
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
1315.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
1284.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
1284.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
1269.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
1255.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
1250.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
1224.9
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
1218.5
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
1186.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
1172.1
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
1170.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
1169.2
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1166.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1152.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
1149.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
1115.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
1097.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
1085.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
1077.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
1074.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
1068.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
1068.0
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
1061.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
1053.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
1047.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
1042.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
1038.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
1036.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
1028.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
1021.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
1018.2
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
1012.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
1009.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
1000.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
998.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
993.4
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
992.9
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
990.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
988.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
988.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
987.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
971.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
968.8
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
954.7
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
951.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
939.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
937.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
935.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
922.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
921.4
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
916.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
914.9
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
905.0
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
902.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
900.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
899.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
897.7
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
896.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
889.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
888.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
884.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
881.2
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
877.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
876.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
876.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
875.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
859.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
855.5
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
855.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
853.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
851.5
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
846.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
846.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
845.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
845.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
844.3
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
843.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
841.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
837.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
825.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
822.3
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
822.1
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
819.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
818.1
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
818.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
817.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
817.5
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
806.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
801.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
800.2
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
800.0
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
797.8
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
794.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
794.6
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
787.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
787.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
785.9
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
781.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
774.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
774.4
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
772.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
770.5
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
770.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
768.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
767.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
764.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
761.4
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
759.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
756.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
755.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
754.8
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
749.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
748.0
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
745.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
738.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
736.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
736.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
730.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
729.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
725.6
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
724.7
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
722.4
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
714.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
709.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
708.8
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
708.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
705.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
705.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
702.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
701.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
698.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
698.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
697.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
696.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
689.6
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
684.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
683.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
683.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
683.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
681.9
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
679.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
675.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
668.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
668.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
667.3
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
665.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
664.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
662.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
661.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
660.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
660.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
656.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
656.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
650.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
648.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
645.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
642.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
638.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
636.9
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
633.8
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
633.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
632.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
630.7
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
628.5
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
627.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
623.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
622.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
621.9
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
621.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
619.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
617.8
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
617.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
615.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
614.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
614.6
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
612.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
608.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
606.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
598.9
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
598.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
595.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
583.7
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
581.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
571.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
569.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
567.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
560.3
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
556.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
555.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
551.4
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
550.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
549.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
534.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
533.4
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
531.0
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
531.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
529.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
528.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
522.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
521.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
518.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
518.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
518.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
517.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
514.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
510.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
507.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
502.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
498.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
493.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
492.2
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
484.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
480.0
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
478.8
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
470.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
461.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
450.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
438.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
434.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
429.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
420.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
420.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
416.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
415.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
399.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
396.6
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
391.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
387.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
385.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
384.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
383.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
367.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
358.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
357.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
357.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
343.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
336.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
299.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 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.
ATP5ME is potential prognostic, high expression is favorable 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
180.7
Number of samples
486
Samples
Sample
Description
TPM
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
345.1
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
334.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
330.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
328.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
325.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
318.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
317.6
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
316.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
316.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
315.3
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
312.8
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
310.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
309.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
305.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
301.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
299.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
294.4
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
293.9
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
293.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
292.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
289.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
289.3
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
287.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
286.2
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
284.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
283.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
282.2
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
282.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
280.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
280.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
279.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
278.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
277.8
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
276.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
275.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
274.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
274.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
273.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
270.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
269.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
269.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
269.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
268.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
265.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
265.5
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
265.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
264.2
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
264.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
263.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
262.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
262.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
261.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
260.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
259.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
258.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
256.2
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
255.8
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
255.5
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
255.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
255.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
254.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
254.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
254.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
251.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
250.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
249.4
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
249.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
248.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
247.6
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
246.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
246.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
245.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
245.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
243.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
241.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
241.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
241.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
241.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
240.9
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
240.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
240.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
240.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
239.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
238.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
238.1
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
234.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
234.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
233.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
233.1
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
233.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
232.8
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
232.4
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
231.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
231.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
229.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
229.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
228.0
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
227.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
226.9
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
226.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
226.6
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
226.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
226.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
225.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
225.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
225.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
225.1
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
224.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
224.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
224.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
224.1
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
222.6
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
220.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
220.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
219.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
219.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
219.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
218.8
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
218.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
218.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
218.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
217.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
217.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
217.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
216.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
215.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
215.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
214.8
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
214.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
214.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
214.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
214.0
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
213.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
213.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
213.8
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
213.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
213.3
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
213.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
212.3
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
212.1
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
211.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
211.4
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
210.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
210.6
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
209.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
209.7
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
209.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
209.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
209.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
208.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
208.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
208.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
207.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
207.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
207.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
206.6
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
206.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
205.9
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
205.7
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
205.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
205.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
205.6
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
205.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
205.1
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
205.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
204.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
204.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
203.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
203.7
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
203.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
203.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
203.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
201.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
201.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
201.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
200.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
200.2
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
200.0
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
200.0
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
199.9
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
199.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
199.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
198.8
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
198.7
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
198.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
198.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
198.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
197.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
197.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
197.2
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
196.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
196.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
196.2
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
196.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
195.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
194.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
194.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
194.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
194.0
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
193.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
192.7
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
192.4
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
192.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
192.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
191.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
191.3
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
190.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
189.6
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
189.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
189.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
188.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
188.3
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
187.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
187.5
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
187.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
187.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
187.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
187.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
186.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
186.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
184.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
184.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
184.3
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
182.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
182.0
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
181.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
181.8
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
181.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
180.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
180.6
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
180.6
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
180.2
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
180.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
180.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
179.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
179.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
177.9
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
177.8
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
177.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
177.5
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
177.5
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
177.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
177.2
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
176.9
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
176.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
176.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
176.1
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
175.5
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
175.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
174.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
174.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
174.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
174.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
174.4
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
173.3
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
172.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
172.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
172.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
172.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
171.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
171.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
170.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
170.3
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
169.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
168.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
168.4
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
168.3
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
168.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
168.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
168.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
167.8
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
167.4
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
167.1
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
166.9
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
166.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
165.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
165.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
164.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
163.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
163.0
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
162.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
162.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
162.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
162.2
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
161.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
161.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
161.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
161.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
160.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
159.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
159.4
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
159.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
158.5
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
158.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
158.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
158.0
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
157.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
157.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
157.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
157.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
156.5
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
156.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
155.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
155.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
155.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
154.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
153.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
153.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
152.6
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
152.4
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
152.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
152.0
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
152.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
151.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
150.7
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
150.5
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
150.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
149.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
149.6
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
149.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
148.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
148.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
148.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
148.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
147.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
147.1
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
146.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
146.4
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
145.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
145.6
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
145.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
145.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
145.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
145.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
145.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
144.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
144.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
144.5
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
144.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
144.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
143.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
143.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
143.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
143.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
143.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
142.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
142.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
142.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
142.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
141.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
141.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
141.6
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
141.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
141.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
140.7
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
140.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
140.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
140.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
140.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
139.8
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
139.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
139.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
139.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
139.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
138.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
138.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
137.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
136.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
135.8
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
135.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
135.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
135.2
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
135.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
134.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
134.1
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
133.8
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
133.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
133.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
132.6
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
132.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
131.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
131.0
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
131.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
131.0
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
130.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
130.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
129.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
129.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
129.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
129.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
129.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
129.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
128.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
128.4
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
126.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
126.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
126.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
126.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
125.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
125.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
125.0
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
125.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
124.7
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
124.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
123.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
123.9
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
123.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
123.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
123.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
123.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
123.0
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
122.8
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
121.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
121.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
119.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
119.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
118.8
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
118.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
117.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
116.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
116.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
115.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
115.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
114.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
114.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
114.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
114.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
113.2
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
111.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
111.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
110.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
110.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
109.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
109.0
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
108.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
108.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
108.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
107.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
107.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
106.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
105.3
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
104.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
103.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
103.8
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
103.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
103.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
102.8
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
102.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
102.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
101.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
100.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
100.4
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
100.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
99.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
99.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
99.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
98.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
98.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
98.2
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
98.1
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
97.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
96.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
95.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
92.9
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
92.7
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
92.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
92.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
91.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
89.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
87.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
86.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
86.4
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
84.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
80.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
78.3
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
78.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
76.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
74.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
73.8
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
73.7
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
73.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
68.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
56.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
53.0
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
6.8
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
ATP5ME 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
807.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
5611.5
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
1632.6
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
1546.1
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1524.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
1511.8
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
1371.8
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
1334.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
1313.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
1273.3
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1260.8
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
1211.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
1188.7
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
1160.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
1086.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
1081.1
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
1029.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
1009.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
1009.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
947.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
914.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
913.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
894.8
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
888.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
874.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
872.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
856.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
847.7
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
835.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
834.9
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
828.0
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
824.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
805.0
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
799.6
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
793.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
773.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
767.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
765.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
763.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
763.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
761.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
744.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
713.6
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
704.4
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
697.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
678.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
677.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
676.1
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
670.3
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
644.9
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
632.6
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
631.8
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
631.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
620.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
607.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
599.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
597.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
596.0
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
585.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
584.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
579.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
577.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
575.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
560.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
552.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
549.4
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
537.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
524.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
517.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
511.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
506.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
503.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
481.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
476.9
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
470.3
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
451.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
447.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
444.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
440.6
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
437.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
430.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
422.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
397.9
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
377.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
317.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
315.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
314.1
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 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.
ATP5ME 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
146.3
Number of samples
207
Samples
Sample
Description
TPM
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
299.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
280.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
276.0
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
267.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
261.1
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
258.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
249.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
242.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
237.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
234.6
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
228.8
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
227.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
225.9
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
224.2
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
223.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
222.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
221.8
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
221.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
219.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
218.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
213.5
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
212.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
212.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
211.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
211.3
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
209.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
207.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
205.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
204.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
203.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
202.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
202.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
202.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
200.8
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
198.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
197.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
196.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
196.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
195.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
194.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
192.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
190.2
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
188.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
188.3
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
187.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
185.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
184.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
184.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
183.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
183.3
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
183.0
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
182.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
180.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
178.2
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
177.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
176.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
176.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
176.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
176.1
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
175.3
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
175.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
172.9
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
170.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
170.9
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
169.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
168.7
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
167.2
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
166.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
166.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
166.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
164.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
164.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
163.8
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
162.2
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
162.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
160.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
157.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
156.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
155.7
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
155.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
154.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
153.9
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
151.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
150.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
150.2
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
150.2
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
149.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
149.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
148.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
148.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
148.4
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
148.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
147.7
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
146.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
146.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
144.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
143.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
142.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
142.3
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
142.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
141.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
141.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
141.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
138.6
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
138.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
138.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
138.1
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
137.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
137.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
137.1
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
136.7
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
136.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
135.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
135.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
134.7
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
134.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
134.5
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
134.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
133.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
132.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
132.8
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
132.5
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
131.4
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
130.9
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
130.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
130.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
129.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
129.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
127.5
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
126.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
126.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
125.9
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
125.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
124.4
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
123.8
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
123.7
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
122.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
122.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
121.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
120.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
120.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
120.1
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
120.1
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
119.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
117.7
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
117.2
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
116.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
116.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
116.6
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
115.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
115.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
114.5
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
113.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
112.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
111.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
111.2
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
110.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
110.4
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
108.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
105.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
104.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
104.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
103.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
103.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
101.5
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
100.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
100.1
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
100.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
100.1
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
99.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
99.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
97.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
94.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
93.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
93.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
92.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
92.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
88.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
88.1
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
88.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
87.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
87.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
85.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
84.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
84.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
83.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
83.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
83.6
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
83.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
82.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
82.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
80.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
79.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
78.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
77.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
77.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
76.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
73.8
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
71.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
67.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
65.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
65.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
58.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
55.9
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
51.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
40.5
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
0.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
