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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.
TOMM7 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
525.6
Number of samples
254
Samples
Sample
Description
TPM
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
1322.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
1106.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
1052.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
1040.3
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
985.3
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
973.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
971.7
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
918.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
908.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
869.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
859.7
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
857.8
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
848.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
845.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
842.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
834.5
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
819.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
813.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
804.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
801.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
800.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
792.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
783.0
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
773.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
754.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
749.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
745.0
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
740.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
713.6
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
706.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
706.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
704.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
699.6
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
693.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
689.0
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
685.1
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
682.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
682.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
680.2
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
677.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
664.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
664.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
661.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
660.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
658.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
655.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
650.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
649.0
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
646.5
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
644.7
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
643.8
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
642.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
636.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
636.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
635.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
635.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
633.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
623.7
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
619.8
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
615.6
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
610.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
610.3
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
610.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
609.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
608.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
608.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
603.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
599.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
599.0
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
597.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
595.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
594.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
593.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
590.6
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
589.7
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
588.5
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
587.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
586.3
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
586.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
584.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
583.9
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
578.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
577.6
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
575.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
567.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
565.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
564.4
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
564.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
563.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
555.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
554.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
553.3
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
550.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
549.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
545.0
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
544.1
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
543.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
543.3
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
543.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
534.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
533.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
530.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
529.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
529.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
528.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
527.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
526.0
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
525.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
523.9
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
522.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
521.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
521.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
520.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
516.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
513.0
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
510.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
507.4
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
505.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
499.2
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
497.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
492.1
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
491.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
490.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
487.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
487.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
487.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
486.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
484.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
481.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
480.9
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
480.3
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
479.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
477.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
476.7
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
474.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
474.0
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
473.2
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
471.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
468.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
467.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
467.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
466.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
463.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
462.7
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
462.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
462.1
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
460.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
459.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
458.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
458.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
456.8
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
454.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
453.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
450.5
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
448.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
447.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
444.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
444.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
444.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
442.9
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
441.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
440.4
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
439.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
438.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
437.9
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
437.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
434.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
434.2
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
432.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
432.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
431.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
429.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
429.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
428.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
425.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
425.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
424.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
423.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
423.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
419.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
418.6
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
416.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
415.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
415.0
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
415.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
413.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
411.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
410.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
409.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
408.8
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
407.7
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
406.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
402.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
395.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
394.8
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
392.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
392.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
390.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
390.4
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
389.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
388.2
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
388.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
386.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
386.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
384.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
383.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
379.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
379.4
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
378.6
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
378.2
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
376.3
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
373.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
373.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
373.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
372.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
367.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
367.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
365.8
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
364.2
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
363.8
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
363.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
362.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
361.0
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
361.0
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
361.0
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
360.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
354.4
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
352.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
350.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
350.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
349.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
348.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
346.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
345.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
345.1
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
337.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
334.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
332.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
328.5
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
323.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
322.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
317.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
312.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
309.5
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
309.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
308.4
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
308.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
304.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
302.3
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
297.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
296.9
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
290.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
287.8
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 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.
TOMM7 is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
135.3
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
392.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
280.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
253.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
236.7
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
229.4
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
228.3
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
227.0
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
225.8
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
225.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
220.9
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
220.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
219.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
218.8
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
216.7
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
216.4
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
215.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
215.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
214.8
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
214.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
214.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
211.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
210.7
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
210.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
206.8
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
206.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
203.8
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
203.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
203.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
202.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
200.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
200.0
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
197.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
197.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
196.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
196.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
195.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
194.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
193.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
193.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
192.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
191.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
190.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
190.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
190.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
189.8
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
189.7
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
189.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
189.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
188.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
187.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
187.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
187.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
187.2
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
186.6
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
186.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
186.4
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
186.0
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
184.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
184.6
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
183.4
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
183.3
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
183.3
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
183.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
182.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
182.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
181.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
180.5
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
180.5
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
180.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
180.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
179.4
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
178.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
178.1
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
177.9
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
177.8
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
177.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
176.5
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
176.3
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
175.8
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
175.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
174.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
173.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
173.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
172.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
172.5
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
172.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
172.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
170.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
170.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
170.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
170.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
169.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
169.2
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
169.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
168.5
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
167.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
167.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
167.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
167.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
167.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
167.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
166.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
165.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
165.0
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
165.0
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
164.9
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
164.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
164.3
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
164.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
163.9
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
163.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
163.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
162.9
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
162.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
162.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
162.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
161.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
161.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
160.2
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
160.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
160.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
158.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
158.6
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
158.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
158.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
157.5
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
157.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
157.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
156.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
156.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
156.1
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
155.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
155.3
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
154.4
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
153.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
153.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
152.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
152.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
152.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
152.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
152.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
152.2
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
151.9
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
151.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
150.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
150.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
150.0
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
149.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
149.6
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
148.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
148.1
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
147.4
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
147.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
147.0
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
146.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
146.7
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
146.7
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
146.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
146.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
146.3
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
146.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
146.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
145.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
145.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
145.6
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
145.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
145.2
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
145.1
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
144.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
144.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
143.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
142.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
142.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
141.8
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
141.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
141.7
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
141.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
141.4
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
141.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
141.3
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
141.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
140.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
140.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
140.7
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
140.3
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
140.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
139.5
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
139.5
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
139.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
139.4
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
138.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
138.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
138.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
138.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
138.6
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
138.5
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
138.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
137.9
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
137.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
137.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
137.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
137.3
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
137.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
137.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
137.2
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
137.1
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
136.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
136.1
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
135.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
135.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
135.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
135.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
135.1
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
134.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
134.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
134.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
134.6
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
134.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
134.1
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
133.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
133.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
133.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
133.3
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
133.2
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
133.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
133.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
133.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
132.9
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
132.9
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
132.9
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
132.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
132.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
132.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
132.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
131.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
131.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
131.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
131.0
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
130.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
130.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
130.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
130.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
129.9
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
129.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
129.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
129.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
129.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
129.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
128.9
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
128.7
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
128.3
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
127.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
127.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
127.2
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
127.0
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
126.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
126.6
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
126.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
126.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
126.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
126.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
125.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
125.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
125.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
124.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
124.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
124.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
124.6
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
124.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
124.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
124.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
124.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
124.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
124.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
123.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
123.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
123.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
123.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
123.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
123.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
123.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
123.2
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
123.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
123.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
123.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
122.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
122.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
121.7
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
121.7
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
121.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
121.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
121.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
120.7
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
120.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
120.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
120.2
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
120.1
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
119.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
119.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
119.6
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
119.4
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
119.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
118.7
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
118.3
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
118.1
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
118.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
117.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
117.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
117.2
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
117.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
116.3
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
116.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
116.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
115.8
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
115.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
115.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
115.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
115.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
115.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
115.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
115.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
115.1
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
114.9
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
114.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
114.7
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
114.6
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
114.4
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
114.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
114.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
113.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
113.8
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
113.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
113.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
113.4
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
113.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
113.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
113.0
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
112.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
112.6
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
112.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
112.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
112.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
112.4
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
112.4
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
112.2
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
112.1
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
112.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
112.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
111.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
111.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
111.8
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
111.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
111.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
111.5
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
111.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
111.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
111.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
110.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
110.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
110.8
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
110.8
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
110.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
110.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
109.8
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
109.7
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
109.5
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
109.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
109.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
109.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
108.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
108.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
108.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
108.2
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
108.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
108.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
106.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
106.9
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
106.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
106.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
106.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
105.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
105.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
105.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
105.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
105.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
105.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
105.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
105.1
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
104.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
104.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
104.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
104.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
104.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
104.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
104.6
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
104.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
104.4
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
103.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
103.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
103.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
103.1
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
103.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
102.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
102.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
102.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
101.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
101.7
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
101.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
101.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
101.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
101.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
100.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
100.7
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
100.2
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
99.9
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
99.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
99.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
98.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
98.7
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
98.6
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
97.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
96.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
95.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
95.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
95.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
94.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
94.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
94.3
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
94.3
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
94.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
94.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
92.9
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
92.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
92.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
91.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
91.6
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
91.0
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
90.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
90.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
90.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
90.5
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
90.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
90.1
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
89.9
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
89.7
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
89.3
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
88.3
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
88.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
87.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
87.0
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
87.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
87.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
86.9
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
84.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
83.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
83.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
81.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
80.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
80.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
80.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
79.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
79.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
79.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
79.0
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
78.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
77.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
76.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
76.3
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
75.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
75.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
74.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
74.1
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
74.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
74.0
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
73.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
70.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
69.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
66.8
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
63.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
63.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
60.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
56.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
50.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.9
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.
TOMM7 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
526.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
1158.8
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1055.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
974.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
970.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
960.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
809.8
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
790.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
763.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
755.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
744.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
740.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
740.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
730.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
719.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
704.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
700.1
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
696.5
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
691.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
686.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
670.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
639.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
637.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
628.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
599.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
585.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
574.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
564.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
559.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
549.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
547.9
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
543.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
536.4
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
535.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
531.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
528.9
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
526.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
511.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
508.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
503.8
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
492.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
491.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
489.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
486.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
483.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
482.3
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
482.1
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
475.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
473.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
471.8
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
466.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
459.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
451.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
449.2
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
449.0
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
434.7
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
423.9
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
422.7
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
422.0
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
419.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
415.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
413.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
410.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
389.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
389.0
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
385.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
382.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
381.3
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
379.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
377.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
373.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
372.2
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
370.9
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
366.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
364.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
360.0
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
359.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
357.3
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
351.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
344.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
342.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
333.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
332.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
326.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
325.8
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
312.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
311.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
298.0
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
TOMM7 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
117.1
Number of samples
207
Samples
Sample
Description
TPM
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
258.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
229.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
215.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
211.5
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
210.0
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
209.0
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
201.7
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
194.2
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
188.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
188.1
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
185.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
180.0
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
178.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
173.4
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
170.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
167.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
166.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
165.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
161.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
161.6
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
161.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
159.2
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
159.1
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
158.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
157.7
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
157.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
156.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
156.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
152.4
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
151.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
151.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
150.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
150.7
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
150.6
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
148.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
147.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
147.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
147.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
146.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
146.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
146.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
145.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
145.3
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
145.0
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
144.8
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
143.8
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
142.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
141.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
140.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
140.4
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
140.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
139.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
139.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
135.3
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
135.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
135.0
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
134.6
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
134.4
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
132.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
131.5
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
131.4
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
130.5
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
129.9
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
129.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
129.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
129.8
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
129.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
127.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
127.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
125.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
125.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
125.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
124.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
123.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
123.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
122.6
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
121.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
121.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
121.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
120.7
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
120.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
119.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
119.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
119.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
117.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
117.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
117.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
116.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
116.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
116.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
116.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
114.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
114.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
114.4
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
114.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
113.9
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
113.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
113.7
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
113.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
113.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
112.9
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
112.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
112.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
112.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
111.5
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
111.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
110.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
110.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
110.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
110.4
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
110.1
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
110.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
109.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
109.7
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
109.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
109.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
109.4
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
109.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
108.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
108.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
108.3
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
107.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
107.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
107.2
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
106.4
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
106.1
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
105.8
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
105.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
105.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
104.9
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
104.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
103.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
102.0
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
101.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
100.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
100.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
100.0
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
99.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
99.3
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
99.3
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
99.1
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
98.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
97.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
96.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
96.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
95.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
95.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
94.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
94.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
93.9
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
93.3
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
93.3
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
92.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
92.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
91.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
90.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
90.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
89.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
89.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
89.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
89.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
89.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
89.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
88.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
88.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
88.3
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
88.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
85.2
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
85.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
84.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
84.0
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
83.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
83.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
83.4
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
83.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
82.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
82.4
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
81.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
81.7
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
81.7
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
81.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
81.2
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
80.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
80.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
75.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
75.8
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
74.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
74.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
74.4
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
72.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
71.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
71.3
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
71.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
70.8
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
69.6
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
68.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
66.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
63.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
62.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
61.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
61.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
60.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
52.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
52.1
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
43192517-085e-450e-9481-0a6713_D3
Tumor
0.8
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.8
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.8
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.7
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.6
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.6
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.5
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.5
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.5
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.4
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.4
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.3
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.3
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.2
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.2
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.2
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.2
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.1
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.0
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.0
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.0
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.0
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.0
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.0
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.0
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.0
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.2
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.3
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.3
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.3
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.3
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.3
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.3
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.3
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.4
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.5
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.5
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.5
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.5
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.5
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.5
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.6
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.6
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.6
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.6
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.6
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.6
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.6
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.6
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.7
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.7
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.7
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.7
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.7
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.7
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.7
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.8
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.8
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.8
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.8
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.9
b2400046-1d25-429d-a821-6040a6
Tumor
-0.9
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-1.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-1.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
-1.1
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-1.3
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.
The Human Protein Atlas project is funded
