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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.
SLC25A5 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
583.7
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
1546.7
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
1424.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
1375.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
1287.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
1262.1
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
1253.6
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
1198.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
1180.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
1130.0
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
1109.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
1100.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
1077.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
1068.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
1067.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
1040.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
1021.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
1020.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
1006.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
1000.7
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
1000.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
994.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
981.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
954.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
929.8
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
929.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
911.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
904.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
881.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
881.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
871.8
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
858.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
857.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
854.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
848.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
838.4
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
834.7
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
829.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
825.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
824.2
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
820.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
819.9
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
817.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
815.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
813.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
807.2
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
806.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
802.6
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
800.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
794.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
788.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
786.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
783.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
777.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
761.3
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
756.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
753.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
753.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
741.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
732.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
722.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
713.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
711.7
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
707.8
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
706.2
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
696.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
695.6
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
691.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
687.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
686.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
684.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
683.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
680.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
674.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
673.5
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
670.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
670.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
670.0
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
664.0
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
662.6
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
660.4
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
656.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
655.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
654.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
649.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
645.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
642.2
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
639.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
633.7
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
633.4
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
633.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
628.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
618.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
614.8
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
612.6
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
611.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
602.8
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
600.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
597.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
592.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
592.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
592.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
591.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
589.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
588.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
585.9
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
583.9
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
583.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
572.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
571.6
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
568.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
568.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
568.0
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
564.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
558.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
558.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
557.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
557.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
550.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
550.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
549.0
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
541.4
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
541.4
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
538.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
535.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
531.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
530.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
530.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
526.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
525.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
525.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
522.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
519.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
514.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
513.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
512.2
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
510.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
509.6
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
507.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
503.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
503.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
503.0
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
498.0
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
490.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
489.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
489.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
487.7
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
486.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
486.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
482.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
479.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
477.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
476.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
474.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
466.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
464.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
463.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
462.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
461.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
461.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
460.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
458.1
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
457.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
455.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
454.2
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
451.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
448.1
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
445.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
444.5
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
440.2
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
439.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
434.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
432.9
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
432.1
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
429.5
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
429.4
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
429.2
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
429.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
426.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
425.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
423.1
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
422.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
422.0
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
420.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
416.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
416.1
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
414.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
413.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
405.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
401.2
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
399.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
397.0
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
395.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
392.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
392.2
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
392.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
390.7
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
390.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
387.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
382.7
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
380.5
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
377.6
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
377.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
377.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
375.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
374.8
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
372.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
371.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
371.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
365.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
365.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
365.0
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
364.3
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
363.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
363.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
362.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
358.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
353.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
353.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
353.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
352.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
350.5
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
350.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
350.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
343.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
342.2
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
337.0
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
336.7
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
335.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
326.2
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
323.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
323.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
321.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
319.1
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
319.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
317.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
313.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
311.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
310.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
303.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
302.7
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
296.3
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
293.1
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
286.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
273.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
272.8
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
267.8
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
264.8
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
256.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
241.0
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
240.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
239.7
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
223.9
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
217.6
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SLC25A5 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
278.0
Number of samples
486
Samples
Sample
Description
TPM
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
1133.2
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
979.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
742.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
682.0
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
681.1
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
644.8
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
639.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
637.2
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
621.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
613.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
609.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
602.8
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
595.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
588.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
582.0
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
577.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
564.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
559.9
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
557.9
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
546.2
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
545.1
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
528.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
523.5
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
512.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
493.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
473.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
469.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
468.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
465.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
455.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
444.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
440.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
439.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
437.5
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
435.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
434.8
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
432.6
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
431.1
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
430.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
427.2
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
426.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
424.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
423.7
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
421.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
420.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
418.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
416.7
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
415.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
415.6
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
415.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
415.0
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
414.3
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
414.0
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
405.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
399.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
398.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
395.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
393.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
392.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
389.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
388.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
387.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
386.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
385.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
384.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
380.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
379.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
378.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
377.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
376.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
371.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
371.6
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
371.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
370.9
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
370.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
365.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
364.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
364.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
363.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
361.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
361.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
360.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
357.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
355.5
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
353.5
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
352.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
349.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
349.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
347.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
345.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
343.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
342.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
342.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
341.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
341.3
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
340.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
340.5
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
340.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
340.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
339.9
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
336.9
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
335.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
333.8
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
333.3
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
330.9
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
330.6
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
330.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
329.4
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
329.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
329.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
328.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
326.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
326.3
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
326.3
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
325.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
325.4
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
324.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
324.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
323.9
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
323.0
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
322.2
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
320.8
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
320.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
320.2
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
320.2
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
318.8
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
318.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
318.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
318.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
317.9
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
317.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
317.1
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
316.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
316.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
316.1
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
315.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
314.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
314.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
313.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
312.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
312.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
311.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
311.8
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
310.9
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
310.8
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
309.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
307.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
306.0
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
305.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
305.8
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
305.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
303.1
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
303.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
303.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
302.9
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
302.8
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
301.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
300.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
300.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
300.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
300.2
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
299.9
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
299.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
299.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
297.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
296.3
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
296.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
294.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
293.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
293.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
293.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
293.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
291.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
291.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
291.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
291.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
290.7
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
290.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
290.2
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
289.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
289.6
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
289.2
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
288.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
286.6
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
286.1
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
285.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
284.2
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
284.0
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
283.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
283.4
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
282.6
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
282.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
282.5
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
282.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
281.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
280.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
279.5
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
278.8
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
278.4
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
278.1
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
277.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
277.2
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
277.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
276.8
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
276.7
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
275.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
275.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
275.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
275.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
275.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
275.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
273.7
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
273.2
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
272.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
272.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
272.4
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
271.1
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
270.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
270.6
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
269.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
269.1
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
269.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
268.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
268.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
267.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
267.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
266.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
266.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
265.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
265.7
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
265.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
264.6
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
263.5
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
263.4
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
263.0
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
262.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
261.9
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
261.3
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
261.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
261.2
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
260.0
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
259.3
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
259.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
259.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
257.2
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
256.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
256.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
255.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
255.3
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
255.2
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
253.5
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
253.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
252.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
252.1
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
251.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
251.3
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
251.1
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
251.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
250.7
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
250.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
250.1
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
250.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
249.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
249.4
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
248.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
248.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
247.6
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
246.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
245.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
245.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
244.3
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
244.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
244.0
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
243.5
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
243.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
242.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
242.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
242.3
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
241.4
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
241.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
240.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
240.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
238.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
238.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
238.0
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
237.5
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
236.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
235.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
235.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
235.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
235.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
235.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
234.2
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
234.0
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
233.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
233.7
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
232.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
232.2
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
231.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
231.2
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
230.6
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
230.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
230.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
230.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
229.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
229.8
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
229.8
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
229.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
229.4
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
229.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
228.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
228.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
228.3
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
227.5
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
227.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
227.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
226.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
225.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
225.8
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
225.6
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
224.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
223.8
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
223.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
220.5
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
220.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
219.5
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
219.4
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
219.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
217.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
217.0
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
217.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
216.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
216.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
216.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
215.1
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
215.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
214.9
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
214.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
213.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
213.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
212.7
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
212.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
210.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
210.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
209.3
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
209.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
208.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
208.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
208.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
208.0
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
207.7
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
207.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
206.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
205.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
205.8
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
205.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
205.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
205.0
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
205.0
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
204.9
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
204.4
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
203.7
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
203.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
203.1
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
202.6
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
202.2
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
202.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
202.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
201.8
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
201.7
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
201.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
200.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
199.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
199.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
199.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
199.3
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
199.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
198.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
198.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
197.8
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
197.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
197.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
197.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
196.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
196.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
196.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
196.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
195.4
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
195.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
194.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
194.2
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
193.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
193.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
192.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
190.1
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
188.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
188.3
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
188.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
187.1
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
186.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
185.7
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
185.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
184.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
183.8
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
182.6
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
182.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
181.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
181.0
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
179.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
179.6
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
179.5
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
179.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
178.8
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
177.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
176.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
176.7
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
176.2
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
175.3
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
174.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
174.5
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
174.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
174.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
173.4
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
173.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
172.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
170.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
170.4
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
169.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
169.2
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
168.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
168.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
167.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
167.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
164.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
164.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
163.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
163.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
162.8
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
162.4
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
162.1
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
161.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
160.8
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
160.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
160.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
158.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
157.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
155.8
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
155.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
154.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
153.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
153.2
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
153.0
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
152.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
151.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
151.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
150.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
150.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
149.4
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
146.9
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
146.4
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
146.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
146.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
146.0
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
145.8
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
141.3
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
138.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
137.5
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
134.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
134.4
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
134.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
129.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
128.4
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
127.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
126.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
124.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
116.8
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
114.1
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
113.3
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
104.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
103.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
102.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
95.9
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
87.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
45.8
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
5.4
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.
SLC25A5 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
559.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
1501.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
1476.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
1402.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
1208.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
1176.0
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
1102.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
1042.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
992.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
921.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
916.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
890.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
882.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
878.6
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
798.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
779.1
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
775.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
767.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
754.2
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
741.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
740.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
720.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
715.3
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
715.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
695.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
675.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
669.1
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
635.1
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
624.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
623.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
622.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
618.8
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
608.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
600.6
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
594.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
585.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
574.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
573.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
572.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
538.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
530.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
519.3
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
516.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
497.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
490.5
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
487.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
482.0
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
480.5
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
461.9
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
459.5
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
455.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
453.8
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
446.9
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
428.8
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
428.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
425.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
415.2
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
411.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
411.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
408.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
406.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
399.3
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
395.4
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
386.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
383.6
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
370.2
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
359.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
348.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
345.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
344.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
339.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
334.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
328.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
327.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
324.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
315.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
314.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
286.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
283.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
245.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
227.6
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
224.1
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
211.0
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
193.4
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
186.7
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
140.1
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
131.8
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
76.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
SLC25A5 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
225.6
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
1019.8
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
536.6
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
478.0
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
472.8
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
467.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
466.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
457.0
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
450.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
442.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
440.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
433.4
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
432.7
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
408.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
399.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
394.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
370.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
368.4
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
361.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
357.2
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
355.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
353.9
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
353.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
339.0
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
335.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
329.9
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
329.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
325.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
318.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
312.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
310.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
308.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
302.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
297.8
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
296.9
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
295.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
295.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
293.7
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
290.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
289.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
288.5
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
286.3
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
280.6
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
278.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
278.8
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
278.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
273.4
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
272.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
271.0
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
265.8
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
260.4
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
260.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
258.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
257.3
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
256.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
256.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
255.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
252.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
252.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
249.3
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
248.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
246.8
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
246.4
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
245.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
245.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
244.7
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
244.0
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
243.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
243.4
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
243.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
242.1
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
241.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
237.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
236.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
235.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
234.8
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
234.7
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
233.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
232.4
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
230.4
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
229.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
227.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
227.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
224.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
223.7
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
223.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
223.3
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
221.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
218.3
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
215.1
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
214.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
214.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
214.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
213.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
210.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
209.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
208.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
207.8
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
206.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
206.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
205.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
205.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
204.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
204.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
204.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
203.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
203.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
203.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
203.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
202.4
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
201.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
200.2
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
200.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
200.1
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
200.0
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
198.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
198.0
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
196.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
195.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
195.7
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
195.3
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
192.2
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
191.9
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
191.5
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
190.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
190.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
190.5
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
189.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
189.0
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
188.4
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
186.1
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
185.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
183.9
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
183.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
182.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
180.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
179.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
178.7
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
177.6
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
177.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
177.2
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
174.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
173.5
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
173.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
173.1
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
173.0
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
173.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
171.7
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
171.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
170.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
168.4
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
168.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
167.8
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
166.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
163.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
162.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
161.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
158.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
157.9
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
156.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
152.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
151.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
151.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
151.3
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
148.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
147.2
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
147.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
146.0
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
145.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
145.0
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
144.0
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
143.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
143.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
143.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
140.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
140.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
140.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
139.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
139.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
138.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
138.1
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
136.4
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
135.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
134.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
126.8
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
125.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
125.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
125.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
124.4
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
121.4
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
120.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
118.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
117.9
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
115.9
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
115.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
115.1
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
114.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
114.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
114.0
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
107.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
104.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
103.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
96.2
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
94.2
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
93.3
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
85.7
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
84.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.2
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
0.9
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.9
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.6
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.5
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.4
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.4
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.3
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.3
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
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Tumor
0.2
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.1
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.1
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Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
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Tumor
0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.1
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Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.1
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Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
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Tumor
0.1
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Normal
0.0
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.0
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.0
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Normal
0.0
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Tumor
0.0
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.0
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Normal
0.0
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.1
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.1
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.1
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.1
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.1
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Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
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Normal
-0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.1
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.1
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.1
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.2
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.2
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.2
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.2
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.2
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.2
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.2
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.2
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.2
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.2
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.3
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.3
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.3
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
-0.3
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.3
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.3
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.4
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.4
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.4
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.4
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.5
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.5
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.5
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
