We use cookies to enhance the usability of our website. If you continue, we'll assume that you are happy to receive all cookies. More information. Don't show this again.
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.
SUMO2 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
307.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
599.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
592.3
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
553.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
528.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
501.9
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
493.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
463.0
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
453.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
451.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
449.7
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
446.7
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
446.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
443.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
440.1
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
432.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
424.4
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
421.5
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
419.8
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
416.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
407.1
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
406.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
405.4
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
401.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
399.0
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
391.0
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
387.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
386.3
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
385.6
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
385.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
380.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
379.1
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
377.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
376.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
373.6
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
372.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
368.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
368.1
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
367.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
367.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
366.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
364.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
363.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
362.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
362.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
361.9
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
361.7
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
360.7
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
360.3
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
360.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
359.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
358.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
358.3
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
358.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
356.3
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
355.0
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
354.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
353.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
352.6
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
352.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
352.0
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
350.7
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
350.2
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
350.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
350.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
349.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
347.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
347.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
346.9
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
346.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
344.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
344.6
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
340.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
339.5
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
339.4
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
339.2
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
339.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
338.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
337.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
337.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
334.5
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
333.2
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
333.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
332.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
332.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
332.8
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
332.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
330.8
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
330.2
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
330.0
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
329.1
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
328.1
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
326.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
325.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
324.2
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
324.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
323.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
323.0
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
323.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
323.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
322.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
320.8
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
320.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
319.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
317.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
317.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
316.4
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
315.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
315.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
314.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
313.3
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
312.6
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
312.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
310.6
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
310.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
309.9
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
309.8
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
309.1
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
308.9
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
308.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
308.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
307.1
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
306.9
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
306.4
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
306.3
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
305.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
304.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
304.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
302.9
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
302.1
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
301.4
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
300.9
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
299.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
298.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
298.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
298.3
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
297.4
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
297.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
296.8
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
295.3
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
295.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
294.6
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
294.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
294.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
293.7
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
293.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
293.2
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
293.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
293.0
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
291.8
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
291.7
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
289.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
289.1
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
288.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
288.4
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
287.9
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
286.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
284.4
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
284.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
283.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
282.0
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
281.6
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
280.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
279.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
277.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
276.9
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
276.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
276.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
275.7
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
274.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
274.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
274.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
273.9
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
273.5
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
273.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
272.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
271.9
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
270.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
269.1
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
268.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
268.1
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
268.0
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
267.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
267.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
267.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
265.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
265.7
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
265.2
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
263.8
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
263.3
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
263.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
262.1
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
261.1
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
260.4
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
259.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
258.9
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
258.8
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
257.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
250.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
250.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
250.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
250.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
246.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
245.3
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
244.8
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
244.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
243.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
241.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
240.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
239.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
239.2
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
238.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
238.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
236.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
236.3
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
236.1
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
235.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
234.2
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
233.9
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
233.6
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
233.5
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
233.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
233.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
232.9
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
232.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
230.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
228.6
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
225.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
221.0
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
219.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
219.0
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
217.5
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
216.4
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
215.1
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
215.0
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
214.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
213.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
209.5
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
208.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
208.2
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
208.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
202.2
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
200.0
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
196.8
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
196.7
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
195.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
193.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
188.1
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
186.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
179.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
177.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
175.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
168.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
159.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 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.
SUMO2 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
310.5
Number of samples
486
Samples
Sample
Description
TPM
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
602.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
590.6
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
551.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
527.3
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
521.1
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
496.4
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
494.2
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
469.9
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
468.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
468.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
465.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
462.6
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
455.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
453.1
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
452.7
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
450.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
449.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
449.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
442.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
441.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
439.4
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
438.2
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
431.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
427.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
427.0
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
427.0
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
426.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
425.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
424.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
423.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
422.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
419.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
418.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
417.6
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
416.3
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
416.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
415.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
415.1
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
414.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
414.2
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
414.1
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
413.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
412.7
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
412.4
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
411.0
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
409.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
407.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
405.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
404.5
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
404.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
401.1
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
401.0
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
400.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
398.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
397.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
395.5
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
394.3
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
394.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
394.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
393.7
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
393.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
393.0
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
392.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
391.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
389.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
389.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
388.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
387.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
386.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
385.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
385.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
384.1
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
384.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
383.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
383.3
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
382.6
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
381.5
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
381.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
379.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
377.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
375.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
375.7
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
375.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
373.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
373.2
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
371.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
371.2
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
370.4
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
369.2
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
368.9
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
368.8
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
368.7
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
367.5
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
367.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
366.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
366.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
366.0
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
365.0
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
364.6
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
364.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
364.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
364.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
364.1
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
363.6
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
362.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
361.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
360.7
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
360.1
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
357.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
357.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
356.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
356.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
356.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
354.7
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
354.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
354.4
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
353.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
353.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
353.2
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
353.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
352.8
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
351.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
351.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
350.7
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
350.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
349.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
349.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
348.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
348.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
347.5
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
347.4
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
346.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
346.4
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
346.0
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
345.9
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
345.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
345.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
345.0
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
344.5
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
344.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
343.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
343.7
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
343.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
343.7
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
343.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
343.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
343.3
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
343.0
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
342.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
342.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
341.9
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
341.5
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
341.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
341.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
340.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
340.6
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
339.9
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
339.1
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
338.8
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
338.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
338.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
338.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
337.7
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
337.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
337.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
337.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
336.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
335.7
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
334.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
334.2
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
333.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
333.5
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
333.3
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
332.9
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
332.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
332.7
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
331.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
331.5
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
331.3
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
331.1
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
331.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
330.9
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
330.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
330.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
329.3
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
328.3
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
327.9
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
327.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
326.8
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
326.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
326.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
326.1
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
325.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
325.6
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
325.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
325.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
325.0
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
324.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
323.3
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
322.9
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
322.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
322.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
322.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
320.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
320.3
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
320.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
320.0
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
319.3
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
318.3
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
318.1
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
317.8
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
317.6
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
317.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
316.5
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
315.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
315.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
315.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
315.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
314.8
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
314.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
314.3
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
314.2
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
313.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
313.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
313.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
313.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
313.2
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
313.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
312.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
312.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
312.2
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
312.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
312.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
309.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
309.5
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
309.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
308.8
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
308.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
308.2
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
308.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
307.5
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
307.3
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
307.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
306.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
306.5
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
306.3
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
306.2
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
306.1
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
306.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
306.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
304.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
303.9
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
303.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
303.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
303.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
302.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
301.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
299.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
299.3
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
299.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
299.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
298.9
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
298.1
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
297.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
297.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
297.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
297.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
297.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
296.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
296.7
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
296.7
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
296.6
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
296.4
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
296.0
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
296.0
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
295.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
294.5
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
294.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
293.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
293.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
293.0
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
293.0
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
292.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
292.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
292.3
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
292.3
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
292.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
290.5
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
290.3
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
289.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
289.0
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
288.8
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
287.9
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
287.5
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
287.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
287.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
286.8
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
286.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
285.8
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
285.7
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
284.6
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
284.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
284.1
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
283.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
282.8
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
282.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
281.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
281.3
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
281.1
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
281.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
281.1
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
281.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
280.7
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
280.1
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
280.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
279.9
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
279.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
279.6
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
279.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
279.3
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
278.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
278.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
278.5
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
278.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
277.2
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
277.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
276.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
276.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
276.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
276.4
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
275.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
275.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
275.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
274.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
273.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
273.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
272.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
272.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
272.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
271.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
271.2
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
270.1
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
269.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
269.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
269.2
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
268.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
267.8
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
267.5
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
267.3
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
267.3
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
266.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
266.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
265.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
265.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
265.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
264.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
264.3
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
264.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
263.9
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
263.9
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
263.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
263.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
263.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
263.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
263.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
262.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
261.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
261.5
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
261.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
260.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
260.2
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
259.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
259.6
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
259.1
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
258.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
258.1
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
257.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
257.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
256.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
254.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
254.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
254.0
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
253.8
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
253.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
253.0
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
253.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
251.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
251.9
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
251.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
251.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
250.9
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
250.6
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
250.2
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
248.2
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
247.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
245.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
245.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
244.5
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
243.9
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
243.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
241.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
241.8
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
241.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
241.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
241.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
240.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
240.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
238.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
237.9
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
237.9
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
237.9
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
237.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
237.6
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
236.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
236.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
236.3
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
235.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
235.1
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
234.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
233.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
232.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
232.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
231.9
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
231.1
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
230.7
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
230.4
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
230.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
229.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
228.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
228.6
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
228.5
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
228.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
227.7
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
227.5
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
227.3
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
227.1
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
227.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
225.2
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
225.0
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
224.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
223.1
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
222.1
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
220.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
220.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
220.1
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
218.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
217.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
217.2
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
215.9
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
215.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
215.4
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
215.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
211.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
211.1
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
211.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
210.5
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
209.9
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
208.8
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
207.7
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
207.6
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
207.1
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
206.0
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
205.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
205.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
204.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
203.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
203.1
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
202.5
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
202.3
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
201.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
199.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
199.2
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
198.9
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
197.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
196.3
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
195.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
195.5
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
190.0
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
189.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
188.7
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
182.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
172.3
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
159.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
150.2
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
13.6
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.
SUMO2 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
307.3
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
680.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
430.2
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
425.6
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
423.6
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
422.6
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
411.2
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
407.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
402.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
395.7
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
394.0
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
383.4
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
380.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
374.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
361.3
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
357.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
354.0
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
351.3
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
351.0
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
351.0
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
350.3
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
347.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
346.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
344.7
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
344.2
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
343.0
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
339.5
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
337.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
336.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
336.6
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
334.9
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
332.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
331.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
330.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
329.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
322.5
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
320.7
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
319.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
319.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
319.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
317.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
316.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
315.7
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
314.0
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
311.2
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
308.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
307.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
304.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
304.3
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
303.6
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
303.6
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
297.6
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
297.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
293.2
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
293.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
291.8
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
291.5
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
291.1
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
286.9
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
282.9
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
282.2
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
281.6
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
279.8
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
275.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
273.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
273.8
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
272.0
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
270.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
270.3
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
261.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
259.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
257.4
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
254.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
250.6
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
246.1
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
243.3
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
241.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
239.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
234.7
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
231.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
227.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
215.7
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
215.4
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
204.2
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
177.4
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
152.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
148.8
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
102.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 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.
SUMO2 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
254.2
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
468.0
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
425.6
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
404.1
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
370.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
369.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
357.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
355.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
354.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
347.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
347.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
339.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
338.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
338.4
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
336.1
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
335.6
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
333.3
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
332.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
332.8
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
331.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
330.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
328.9
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
326.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
321.0
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
320.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
317.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
314.4
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
311.9
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
310.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
310.3
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
309.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
307.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
306.7
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
304.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
302.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
299.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
299.6
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
298.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
297.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
296.6
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
295.4
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
294.9
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
293.8
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
292.0
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
291.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
291.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
290.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
290.3
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
289.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
288.1
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
287.5
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
287.5
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
287.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
286.5
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
285.6
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
284.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
284.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
283.2
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
282.9
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
281.6
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
281.5
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
279.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
279.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
277.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
276.7
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
276.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
276.2
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
275.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
275.5
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
274.8
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
274.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
274.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
274.3
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
272.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
272.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
272.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
270.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
269.8
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
268.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
267.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
265.8
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
263.2
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
262.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
262.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
262.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
261.1
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
260.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
259.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
259.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
258.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
258.0
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
256.3
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
256.2
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
255.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
255.4
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
254.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
254.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
253.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
253.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
252.0
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
250.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
250.7
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
250.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
249.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
249.4
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
249.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
248.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
247.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
247.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
247.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
246.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
246.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
246.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
246.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
245.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
244.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
244.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
244.3
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
242.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
240.5
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
239.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
239.0
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
238.6
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
237.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
237.4
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
237.0
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
237.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
236.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
235.7
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
235.6
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
234.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
234.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
233.7
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
233.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
233.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
232.4
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
232.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
230.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
230.5
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
229.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
229.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
228.9
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
227.5
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
226.8
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
226.5
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
225.7
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
225.7
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
225.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
224.8
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
223.1
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
222.2
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
221.6
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
221.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
218.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
217.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
217.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
216.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
215.5
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
215.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
214.3
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
213.9
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
213.5
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
211.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
211.8
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
211.0
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
210.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
210.4
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
210.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
210.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
209.3
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
209.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
207.4
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
206.9
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
206.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
206.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
206.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
205.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
205.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
205.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
204.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
200.6
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
200.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
200.4
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
198.4
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
197.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
197.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
196.5
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
195.9
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
194.9
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
194.7
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
194.7
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
190.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
188.8
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
187.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
181.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
180.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
175.2
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
172.7
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
171.9
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
170.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
170.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
169.4
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
166.6
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
161.5
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
158.9
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
133.0
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
132.0
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
37.6
Show allShow less
COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
1.3
b2400046-1d25-429d-a821-6040a6
Tumor
1.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
1.2
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
1.2
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
1.0
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
1.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.9
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
0.9
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.8
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.8
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.7
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.7
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.7
8cc7e656-0152-4359-8566-0581c3
Tumor
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.6
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.6
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.6
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.6
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.5
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.5
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.5
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.4
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.4
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.4
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.4
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.4
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.4
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.3
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.3
1c070992-647b-4173-a481-904c4d_D2
Normal
0.3
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.3
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.3
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.2
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.2
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.2
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.1
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.0
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.0
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.0
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.0
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.1
43192517-085e-450e-9481-0a6713_D3
Tumor
-0.1
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.2
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.2
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
-0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.2
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.2
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.2
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.2
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.2
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.3
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.3
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.3
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.3
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.3
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.3
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.3
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.3
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.3
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.3
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
-0.3
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.3
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.3
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.3
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.3
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
-0.4
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
-0.4
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.4
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.4
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.5
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.5
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.5
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.5
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.5
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.5
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.5
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.5
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.5
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.6
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.6
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.6
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.6
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.6
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.6
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.6
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.6
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.6
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.7
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.7
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.7
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.7
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.7
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.7
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.7
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.7
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.7
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.8
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.8
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.8
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
-0.9
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
-0.9
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.9
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-1.0
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.0
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-1.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-1.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-1.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-1.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-1.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-1.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-1.2
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-1.3
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-1.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-1.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-1.6
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.