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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.
PFDN5 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
446.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
921.1
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
818.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
806.6
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
771.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
753.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
750.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
749.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
725.6
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
714.7
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
712.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
711.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
707.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
689.0
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
685.4
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
678.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
677.7
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
670.7
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
654.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
650.1
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
648.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
647.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
638.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
632.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
629.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
622.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
607.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
603.6
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
602.9
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
599.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
597.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
588.9
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
585.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
576.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
576.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
573.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
573.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
573.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
569.0
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
565.3
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
564.8
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
561.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
561.8
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
560.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
557.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
557.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
548.8
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
544.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
539.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
539.2
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
539.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
535.6
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
533.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
532.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
531.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
529.7
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
529.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
528.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
521.8
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
515.9
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
511.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
511.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
507.8
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
507.8
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
506.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
503.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
503.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
495.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
494.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
494.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
493.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
492.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
492.3
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
491.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
487.9
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
484.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
483.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
481.2
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
480.8
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
479.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
479.1
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
477.4
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
475.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
474.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
472.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
472.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
471.5
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
466.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
466.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
463.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
462.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
460.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
460.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
457.4
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
454.5
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
452.9
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
452.7
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
452.4
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
450.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
448.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
446.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
445.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
444.9
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
444.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
443.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
441.6
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
441.3
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
438.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
437.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
437.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
436.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
434.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
433.8
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
433.6
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
433.5
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
428.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
428.2
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
428.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
427.5
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
426.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
426.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
425.9
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
425.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
425.2
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
425.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
425.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
424.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
423.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
423.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
420.8
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
419.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
419.3
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
419.2
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
417.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
417.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
417.6
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
416.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
416.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
415.8
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
415.6
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
415.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
415.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
414.7
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
414.6
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
414.2
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
412.9
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
412.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
411.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
408.6
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
408.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
405.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
403.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
402.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
400.9
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
398.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
398.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
397.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
397.6
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
397.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
396.9
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
396.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
395.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
394.6
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
394.2
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
393.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
389.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
387.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
386.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
386.3
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
384.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
381.2
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
380.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
380.6
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
378.6
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
378.2
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
378.2
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
375.4
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
375.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
374.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
374.0
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
372.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
370.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
370.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
369.3
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
368.9
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
368.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
368.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
365.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
365.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
365.1
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
365.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
361.3
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
358.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
357.9
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
357.0
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
356.7
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
356.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
356.1
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
354.7
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
353.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
352.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
351.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
350.8
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
350.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
349.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
347.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
347.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
345.6
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
344.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
344.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
342.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
341.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
340.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
340.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
339.7
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
339.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
336.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
334.3
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
333.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
333.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
332.7
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
330.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
329.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
328.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
327.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
326.2
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
324.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
324.3
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
323.3
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
322.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
321.1
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
318.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
318.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
318.2
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
317.0
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
313.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
308.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
305.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
304.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
304.0
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
301.5
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
300.7
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
298.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
297.7
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
295.4
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
290.3
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
290.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
287.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
286.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
279.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
271.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
252.0
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
244.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
244.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 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.
PFDN5 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
147.7
Number of samples
486
Samples
Sample
Description
TPM
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
298.8
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
262.4
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
258.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
257.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
255.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
250.5
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
248.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
245.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
239.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
239.5
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
236.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
235.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
232.3
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
229.0
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
225.5
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
223.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
219.2
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
216.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
216.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
215.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
214.0
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
212.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
212.1
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
211.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
211.8
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
210.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
208.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
207.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
206.9
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
206.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
205.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
205.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
205.3
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
204.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
204.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
204.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
204.3
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
203.6
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
200.3
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
200.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
200.1
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
199.0
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
198.8
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
198.4
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
198.3
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
198.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
197.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
196.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
196.1
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
196.1
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
196.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
195.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
194.6
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
194.4
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
192.9
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
192.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
191.5
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
191.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
191.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
190.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
190.7
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
190.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
190.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
190.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
189.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
189.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
187.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
187.4
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
187.1
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
187.0
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
186.2
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
186.1
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
185.9
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
185.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
185.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
185.3
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
185.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
184.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
184.4
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
184.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
184.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
184.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
183.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
183.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
182.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
182.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
182.4
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
182.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
181.9
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
181.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
181.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
180.6
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
180.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
179.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
179.4
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
179.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
179.2
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
178.7
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
178.5
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
178.4
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
177.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
177.5
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
177.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
177.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
177.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
177.1
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
176.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
176.9
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
176.7
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
176.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
176.0
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
175.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
175.1
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
174.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
174.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
174.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
173.9
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
173.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
173.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
173.3
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
173.0
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
172.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
172.9
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
172.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
172.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
172.4
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
171.3
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
171.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
171.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
171.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
170.7
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
170.3
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
170.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
170.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
169.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
169.3
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
169.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
168.9
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
167.9
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
167.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
166.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
166.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
165.7
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
165.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
164.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
164.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
164.3
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
163.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
163.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
163.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
163.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
163.1
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
163.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
162.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
162.4
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
162.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
162.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
162.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
161.7
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
160.5
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
160.1
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
159.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
159.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
158.8
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
158.7
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
158.1
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
158.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
157.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
157.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
157.3
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
157.2
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
157.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
157.1
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
157.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
157.0
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
156.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
156.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
156.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
156.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
155.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
155.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
155.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
155.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
155.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
154.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
154.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
154.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
153.9
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
153.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
153.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
153.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
153.5
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
153.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
153.1
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
152.8
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
152.7
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
152.7
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
152.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
152.2
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
152.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
151.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
151.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
151.3
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
151.3
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
151.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
150.7
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
150.6
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
150.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
150.3
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
150.3
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
150.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
150.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
150.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
150.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
149.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
149.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
149.2
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
149.1
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
149.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
148.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
148.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
148.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
147.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
147.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
147.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
147.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
147.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
147.3
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
147.3
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
147.0
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
146.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
146.7
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
146.6
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
146.6
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
146.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
146.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
145.9
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
145.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
145.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
145.6
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
145.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
145.2
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
145.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
144.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
144.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
143.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
143.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
143.3
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
143.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
142.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
142.0
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
142.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
141.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
141.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
141.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
141.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
140.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
140.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
140.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
140.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
139.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
139.7
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
139.7
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
139.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
139.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
139.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
139.3
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
139.0
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
138.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
138.8
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
138.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
138.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
138.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
137.9
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
137.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
137.7
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
137.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
137.6
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
137.5
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
136.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
136.9
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
136.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
136.6
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
136.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
136.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
136.0
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
135.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
135.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
134.9
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
134.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
134.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
134.7
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
134.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
134.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
134.4
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
134.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
133.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
133.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
133.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
133.5
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
133.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
132.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
132.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
132.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
132.6
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
132.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
132.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
132.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
132.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
131.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
131.2
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
131.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
131.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
131.0
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
130.8
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
130.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
130.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
130.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
130.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
130.5
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
130.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
130.5
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
130.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
130.1
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
129.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
129.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
129.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
129.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
129.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
128.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
128.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
128.8
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
128.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
128.5
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
127.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
127.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
127.4
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
127.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
127.1
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
127.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
127.1
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
126.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
126.8
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
126.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
126.4
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
126.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
126.1
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
125.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
125.8
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
125.7
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
125.6
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
125.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
125.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
125.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
124.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
124.9
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
124.6
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
124.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
124.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
124.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
124.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
123.7
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
123.6
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
123.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
123.1
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
123.1
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
123.0
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
122.9
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
122.9
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
122.8
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
122.8
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
122.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
121.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
121.7
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
121.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
121.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
120.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
120.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
120.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
120.3
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
120.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
120.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
119.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
119.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
119.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
119.0
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
118.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
118.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
118.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
118.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
118.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
118.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
117.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
116.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
116.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
116.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
115.8
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
115.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
115.0
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
114.8
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
114.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
114.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
113.7
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
112.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
112.8
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
112.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
112.5
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
112.3
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
111.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
111.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
111.1
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
111.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
110.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
110.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
110.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
110.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
110.1
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
109.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
109.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
109.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
109.5
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
109.5
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
109.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
108.8
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
108.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
108.2
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
108.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
107.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
107.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
107.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
106.7
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
106.6
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
105.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
105.1
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
104.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
104.8
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
104.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
103.8
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
103.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
103.1
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
102.5
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
102.5
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
102.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
102.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
101.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
100.7
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
100.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
100.1
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
99.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
99.7
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
99.2
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
96.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
96.0
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
95.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
95.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
95.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
95.0
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
94.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
94.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
92.3
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
92.0
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
91.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
90.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
90.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
89.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
89.3
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
88.3
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
88.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
87.7
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
87.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
85.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
85.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
84.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
83.9
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
83.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
82.5
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
82.3
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
82.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
80.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
78.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
77.4
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
75.6
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
75.1
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
66.4
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
8.7
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.
PFDN5 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
456.5
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
1233.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
958.5
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
951.6
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
727.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
697.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
661.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
657.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
652.1
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
640.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
593.9
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
579.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
564.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
561.7
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
555.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
549.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
545.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
545.4
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
545.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
533.5
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
533.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
526.9
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
525.0
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
515.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
513.2
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
512.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
485.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
484.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
483.0
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
482.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
480.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
478.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
477.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
460.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
460.2
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
460.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
450.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
445.0
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
441.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
440.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
435.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
432.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
431.8
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
428.9
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
427.0
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
422.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
421.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
418.6
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
410.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
410.3
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
408.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
402.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
396.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
396.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
395.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
389.4
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
387.9
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
382.5
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
376.7
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
370.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
369.3
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
366.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
364.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
362.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
362.1
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
355.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
352.9
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
349.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
347.0
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
343.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
341.0
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
340.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
339.5
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
339.4
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
333.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
331.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
328.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
326.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
325.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
323.3
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
320.2
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
317.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
314.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
310.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
307.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
298.5
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
296.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
285.0
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 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.
PFDN5 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
120.3
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
281.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
239.3
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
230.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
224.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
223.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
216.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
214.5
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
210.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
209.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
194.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
191.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
183.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
180.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
178.0
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
173.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
171.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
168.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
168.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
168.2
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
167.5
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
164.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
163.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
162.5
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
159.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
158.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
158.4
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
157.8
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
152.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
150.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
149.9
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
149.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
149.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
149.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
146.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
143.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
142.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
141.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
140.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
140.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
140.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
139.6
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
139.1
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
138.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
138.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
137.6
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
137.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
137.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
137.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
136.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
136.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
135.5
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
135.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
135.3
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
135.2
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
135.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
134.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
134.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
133.6
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
133.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
132.4
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
132.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
131.3
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
131.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
130.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
129.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
129.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
127.9
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
127.4
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
126.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
126.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
125.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
125.7
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
125.6
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
125.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
125.0
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
124.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
124.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
122.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
122.6
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
122.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
122.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
122.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
121.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
121.6
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
121.5
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
121.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
120.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
120.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
120.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
119.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
119.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
119.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
118.9
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
117.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
117.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
117.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
117.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
116.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
116.0
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
115.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
115.4
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
115.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
114.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
114.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
114.6
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
114.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
114.1
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
114.1
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
113.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
113.3
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
113.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
112.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
112.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
111.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
111.3
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
111.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
110.7
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
110.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
110.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
110.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
110.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
110.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
110.0
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
109.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
109.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
109.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
109.2
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
108.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
108.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
107.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
107.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
106.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
106.8
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
106.6
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
106.5
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
106.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
105.9
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
105.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
105.0
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
105.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
104.7
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
102.7
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
102.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
101.6
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
101.3
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
101.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
100.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
100.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
99.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
99.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
99.6
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
99.2
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
99.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
98.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
98.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
98.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
97.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
97.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
97.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
97.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
96.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
96.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
96.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
96.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
95.3
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
94.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
94.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
94.2
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
93.2
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
93.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
92.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
91.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
91.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
89.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
89.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
88.7
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
87.5
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
87.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
87.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
86.3
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
86.3
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
84.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
84.2
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
84.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
83.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
82.7
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
82.6
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
81.8
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
81.5
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
81.3
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
81.3
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
80.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
79.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
79.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
78.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
77.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
76.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
74.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
72.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
71.2
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
70.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
70.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
69.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
69.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
61.9
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
57.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.6
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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
1.1
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.7
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.6
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.6
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.6
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.5
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.5
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.4
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.4
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.4
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.4
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.4
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
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Tumor
0.4
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.4
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Tumor
0.4
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.3
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Tumor
0.3
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Normal
0.3
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Tumor
0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Tumor
0.2
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Normal
0.2
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.2
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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.2
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Normal
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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Normal
0.2
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Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
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Normal
0.1
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
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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Tumor
0.1
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Normal
0.1
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Normal
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
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Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
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Tumor
0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.1
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Normal
0.1
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Normal
0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.1
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Normal
0.1
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
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Normal
0.1
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Normal
0.1
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.0
f6173181-0993-4a5f-a4cd-5f30b1_D2
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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Normal
0.0
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Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.0
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.0
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.0
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Tumor
0.0
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Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.1
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.1
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.1
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Normal
-0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.2
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Tumor
-0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.2
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.2
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Normal
-0.2
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.2
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Normal
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.3
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.3
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.3
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
-0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.4
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.4
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.5
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.6
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.6
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.7
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Normal
-0.8
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.8
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.8
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-1.0
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.2
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-1.2
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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.