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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.
PRR13 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
347.3
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
936.3
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
724.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
689.6
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
676.6
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
633.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
605.9
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
597.0
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
583.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
552.8
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
546.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
543.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
536.6
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
534.6
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
533.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
529.0
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
524.4
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
520.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
519.1
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
517.5
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
517.0
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
514.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
512.6
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
502.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
501.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
498.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
491.6
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
491.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
490.3
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
489.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
484.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
482.0
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
481.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
479.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
471.1
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
469.5
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
466.9
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
462.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
456.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
456.8
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
456.6
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
453.8
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
453.1
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
452.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
451.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
451.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
450.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
447.7
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
444.9
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
436.2
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
431.5
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
431.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
429.7
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
426.7
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
422.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
421.5
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
419.4
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
417.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
416.4
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
415.5
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
413.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
412.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
409.7
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
408.6
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
407.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
405.6
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
403.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
402.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
402.3
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
401.4
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
400.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
399.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
398.9
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
397.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
396.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
395.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
394.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
393.9
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
393.6
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
393.1
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
393.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
393.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
392.7
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
392.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
392.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
390.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
389.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
387.7
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
386.8
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
386.6
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
380.6
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
380.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
379.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
378.2
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
377.6
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
376.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
374.5
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
374.0
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
373.8
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
372.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
372.3
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
370.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
367.5
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
365.6
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
364.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
362.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
361.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
361.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
360.4
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
358.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
356.6
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
355.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
355.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
353.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
352.5
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
352.0
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
350.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
348.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
348.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
346.6
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
346.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
345.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
345.2
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
344.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
342.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
341.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
341.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
338.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
338.8
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
335.7
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
335.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
334.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
333.8
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
333.5
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
332.6
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
330.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
329.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
329.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
327.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
327.1
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
325.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
324.2
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
322.7
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
322.3
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
320.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
320.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
320.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
319.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
319.1
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
319.1
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
315.9
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
315.7
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
315.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
314.7
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
314.0
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
310.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
310.6
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
310.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
309.6
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
309.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
309.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
309.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
305.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
303.7
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
303.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
301.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
300.6
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
300.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
300.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
300.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
298.5
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
298.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
293.0
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
292.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
291.3
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
290.8
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
290.5
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
287.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
286.7
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
283.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
282.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
281.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
281.5
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
280.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
277.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
272.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
271.8
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
269.7
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
268.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
268.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
266.1
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
265.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
265.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
264.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
263.0
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
262.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
262.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
261.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
259.9
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
259.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
257.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
257.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
256.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
254.7
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
253.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
251.0
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
242.5
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
242.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
239.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
239.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
238.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
237.7
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
236.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
235.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
235.3
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
235.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
234.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
232.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
230.7
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
230.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
225.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
224.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
223.1
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
219.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
219.2
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
217.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
215.5
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
214.9
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
213.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
212.8
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
209.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
208.9
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
208.0
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
207.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
203.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
203.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
200.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
200.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
199.4
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
198.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
197.1
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
191.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
190.0
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
186.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
184.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
180.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
179.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
170.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
162.2
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
131.0
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
99.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
92.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
61.3
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
PRR13 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
262.0
Number of samples
486
Samples
Sample
Description
TPM
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
586.6
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
544.6
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
523.3
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
517.2
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
509.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
503.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
455.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
450.3
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
445.7
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
439.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
436.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
431.9
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
429.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
420.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
416.7
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
415.0
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
411.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
411.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
407.0
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
402.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
401.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
397.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
392.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
390.8
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
389.0
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
382.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
377.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
375.1
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
374.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
372.3
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
370.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
369.1
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
368.6
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
367.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
367.3
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
365.4
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
364.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
364.2
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
363.2
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
362.9
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
361.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
361.1
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
361.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
358.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
357.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
355.3
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
355.2
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
354.6
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
354.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
353.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
352.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
350.7
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
350.6
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
350.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
349.3
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
349.3
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
348.9
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
348.4
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
346.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
346.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
345.6
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
344.4
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
344.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
342.7
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
342.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
342.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
340.9
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
338.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
334.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
334.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
333.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
333.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
332.8
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
332.6
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
332.5
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
330.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
330.1
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
329.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
329.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
329.4
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
328.4
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
328.4
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
328.2
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
327.2
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
326.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
326.2
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
324.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
323.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
322.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
321.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
320.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
320.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
319.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
318.2
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
318.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
318.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
317.9
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
317.7
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
316.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
316.1
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
316.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
314.7
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
314.5
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
314.4
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
314.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
314.2
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
314.0
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
313.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
313.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
313.1
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
312.9
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
311.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
311.6
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
308.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
307.7
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
307.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
307.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
307.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
307.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
306.6
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
306.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
305.8
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
305.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
305.5
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
305.4
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
304.9
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
304.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
303.6
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
303.4
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
302.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
302.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
302.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
301.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
301.5
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
301.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
300.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
300.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
299.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
298.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
298.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
298.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
297.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
297.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
297.3
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
296.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
296.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
295.7
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
295.6
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
295.5
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
293.9
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
293.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
293.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
293.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
293.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
292.0
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
291.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
291.3
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
291.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
291.0
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
290.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
290.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
290.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
290.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
289.9
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
289.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
288.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
288.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
287.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
287.4
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
287.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
286.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
286.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
286.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
285.6
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
285.5
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
285.3
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
284.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
283.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
282.9
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
282.9
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
282.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
282.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
282.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
281.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
281.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
280.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
279.9
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
279.5
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
279.1
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
278.0
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
277.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
276.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
275.6
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
275.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
275.1
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
274.4
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
274.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
273.8
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
273.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
273.4
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
273.3
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
272.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
272.6
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
272.3
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
272.0
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
271.5
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
270.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
270.5
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
269.1
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
269.1
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
269.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
268.8
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
268.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
268.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
267.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
266.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
265.8
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
265.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
265.5
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
265.4
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
265.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
265.2
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
265.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
264.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
264.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
264.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
263.8
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
263.7
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
263.3
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
263.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
261.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
261.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
260.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
260.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
260.2
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
259.9
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
259.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
259.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
259.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
259.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
258.0
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
257.9
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
256.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
256.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
256.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
256.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
255.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
255.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
255.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
254.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
254.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
254.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
253.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
252.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
252.5
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
252.4
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
251.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
250.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
250.3
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
250.3
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
250.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
249.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
249.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
248.9
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
248.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
247.3
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
247.2
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
247.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
247.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
246.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
245.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
245.4
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
245.3
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
244.4
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
244.3
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
244.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
243.2
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
243.1
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
242.3
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
242.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
241.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
240.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
240.3
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
240.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
239.3
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
238.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
238.2
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
238.2
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
237.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
237.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
236.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
236.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
236.5
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
236.4
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
236.3
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
236.0
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
236.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
236.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
235.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
234.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
233.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
233.6
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
233.3
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
233.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
232.8
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
232.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
231.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
230.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
230.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
230.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
229.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
229.3
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
228.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
228.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
228.5
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
228.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
228.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
227.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
226.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
225.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
225.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
225.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
224.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
224.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
224.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
222.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
222.0
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
220.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
220.4
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
220.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
220.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
220.0
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
219.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
219.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
218.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
218.7
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
218.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
218.4
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
218.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
216.6
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
216.1
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
215.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
215.3
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
215.2
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
215.2
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
213.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
213.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
213.0
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
212.8
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
212.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
212.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
212.2
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
211.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
211.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
210.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
210.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
210.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
210.3
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
210.0
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
208.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
208.5
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
208.5
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
207.9
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
207.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
207.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
207.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
207.0
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
206.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
205.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
205.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
204.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
204.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
204.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
204.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
203.8
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
203.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
202.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
202.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
202.2
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
201.9
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
201.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
201.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
201.9
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
201.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
201.2
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
201.2
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
201.1
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
201.0
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
200.4
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
199.9
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
199.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
199.0
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
198.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
197.4
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
197.4
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
197.1
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
196.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
195.6
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
195.1
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
195.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
194.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
194.2
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
193.7
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
193.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
193.0
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
192.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
192.6
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
191.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
191.3
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
190.2
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
189.5
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
188.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
187.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
186.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
186.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
185.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
185.4
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
183.8
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
183.7
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
183.5
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
182.9
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
181.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
181.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
180.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
180.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
180.2
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
179.7
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
179.6
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
179.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
178.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
177.7
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
177.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
176.7
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
176.0
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
175.6
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
175.3
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
174.5
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
174.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
174.1
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
174.0
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
173.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
173.3
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
173.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
172.8
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
172.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
171.9
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
170.4
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
170.2
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
169.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
167.2
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
166.6
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
165.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
165.4
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
165.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
164.9
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
162.9
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
162.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
162.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
162.3
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
162.2
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
159.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
159.3
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
158.9
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
158.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
158.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
156.4
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
154.7
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
153.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
150.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
150.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
150.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
150.1
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
149.9
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
148.3
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
147.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
147.0
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
143.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
143.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
140.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
135.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
134.5
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
131.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
130.6
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
116.3
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
14.0
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.
PRR13 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
337.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
867.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
667.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
659.4
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
643.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
639.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
536.5
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
533.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
522.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
485.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
476.5
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
471.7
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
463.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
442.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
414.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
412.4
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
409.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
391.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
380.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
377.6
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
377.2
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
377.0
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
375.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
374.9
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
373.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
367.1
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
363.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
362.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
359.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
354.9
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
354.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
349.2
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
346.2
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
345.9
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
338.0
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
335.3
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
329.2
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
324.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
324.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
322.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
319.9
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
319.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
319.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
318.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
316.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
309.8
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
308.7
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
306.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
305.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
304.7
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
301.8
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
300.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
300.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
300.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
295.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
295.2
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
292.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
291.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
291.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
290.6
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
289.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
286.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
285.2
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
282.3
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
277.5
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
274.4
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
272.0
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
269.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
257.3
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
254.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
247.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
247.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
246.2
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
244.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
243.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
241.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
238.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
222.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
222.1
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
209.6
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
209.2
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
200.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
193.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
192.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
191.9
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
191.0
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
175.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
156.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PRR13 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
235.7
Number of samples
207
Samples
Sample
Description
TPM
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
439.9
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
417.1
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
378.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
371.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
369.0
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
360.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
358.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
349.6
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
347.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
344.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
337.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
331.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
330.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
321.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
321.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
321.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
320.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
317.5
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
316.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
316.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
314.1
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
313.2
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
311.2
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
310.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
308.1
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
299.2
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
298.8
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
297.0
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
296.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
296.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
294.2
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
293.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
292.9
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
292.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
290.2
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
290.2
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
288.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
284.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
283.9
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
283.8
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
281.5
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
281.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
278.0
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
274.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
274.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
274.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
274.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
271.3
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
271.1
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
270.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
270.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
269.8
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
268.7
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
268.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
267.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
267.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
267.0
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
265.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
265.3
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
264.9
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
264.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
264.7
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
264.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
261.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
261.2
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
261.0
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
260.7
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
260.1
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
258.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
257.4
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
256.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
254.8
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
254.5
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
254.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
253.8
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
253.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
253.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
252.5
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
252.4
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
252.0
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
250.2
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
249.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
248.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
247.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
245.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
244.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
244.2
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
243.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
242.5
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
242.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
242.0
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
240.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
239.0
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
238.2
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
237.8
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
236.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
234.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
234.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
233.4
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
233.0
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
232.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
231.7
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
231.4
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
231.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
231.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
230.7
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
230.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
230.1
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
227.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
227.1
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
225.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
225.1
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
223.7
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
223.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
223.4
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
223.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
223.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
222.9
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
222.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
222.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
221.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
221.9
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
221.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
218.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
218.1
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
217.7
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
217.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
216.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
216.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
215.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
215.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
215.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
215.2
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
214.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
213.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
213.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
212.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
212.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
209.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
208.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
208.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
208.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
208.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
208.0
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
206.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
204.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
204.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
203.1
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
202.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
201.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
201.5
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
201.3
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
201.2
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
200.6
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
199.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
198.7
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
198.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
197.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
196.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
196.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
194.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
194.8
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
194.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
193.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
189.9
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
188.6
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
188.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
187.4
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
187.3
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
186.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
186.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
186.1
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
186.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
185.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
183.5
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
183.3
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
182.0
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
179.4
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
178.0
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
177.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
177.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
176.6
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
171.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
167.8
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
166.9
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
160.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
160.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
159.5
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
159.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
156.6
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
154.8
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
152.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
150.6
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
150.0
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
145.7
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
144.5
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
142.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
140.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
139.6
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
135.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
135.1
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
133.8
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
119.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
119.0
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
100.3
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
95.9
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
28.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
