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The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
USP9X is potential prognostic, high expression is favorable 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
15.5
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.6
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
51.8
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
39.4
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
37.9
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
36.9
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
36.9
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
36.7
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
34.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
33.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
32.4
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
31.8
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
31.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
30.8
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
30.4
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
30.3
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
30.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
30.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
28.8
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
28.2
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
27.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
26.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
26.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
24.9
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
24.7
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
24.5
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
24.3
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
24.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
24.1
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
23.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
23.5
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
23.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
22.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
22.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
22.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
22.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
22.4
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
22.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
21.5
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
21.5
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
20.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
20.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.2
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.2
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
20.0
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
20.0
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
19.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
19.8
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
19.8
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
19.8
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
19.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
19.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
19.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
19.4
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
19.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
18.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
18.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
18.6
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
18.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
18.4
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
18.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
18.3
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
18.2
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.0
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
17.9
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
17.9
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
17.9
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
17.7
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
17.7
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
17.5
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
17.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
17.3
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
17.2
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
17.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
17.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
17.0
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
16.8
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
16.8
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
16.7
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
16.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
16.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
16.4
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
16.3
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
16.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
16.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
16.1
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
16.1
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.0
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
16.0
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
15.9
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
15.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
15.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
15.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
15.5
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
15.5
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
15.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
15.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
15.4
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
15.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
15.3
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
15.2
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
15.1
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
15.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
15.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
15.0
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
14.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
14.9
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
14.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
14.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
14.8
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
14.8
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.8
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
14.7
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
14.5
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
14.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
14.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
14.4
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
14.3
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
14.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
14.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
14.2
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
14.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.0
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
14.0
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
14.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
13.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
13.9
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
13.9
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
13.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
13.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
13.8
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
13.8
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
13.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
13.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
13.6
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
13.6
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
13.5
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
13.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
13.4
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
13.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
13.3
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
13.3
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
13.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
13.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.2
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.1
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
13.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
13.1
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
13.0
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
13.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
13.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
13.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
13.0
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
13.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
12.9
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
12.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
12.9
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
12.9
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
12.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
12.8
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
12.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
12.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
12.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
12.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
12.4
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.3
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
12.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
12.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
12.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
12.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
12.1
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
12.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
11.8
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
11.8
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
11.7
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
11.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
11.6
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
11.4
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
11.3
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
11.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
11.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
11.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
11.0
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
11.0
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
10.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
10.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
10.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
10.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
10.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
10.8
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
10.7
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
10.7
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.6
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
10.5
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
10.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
10.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
10.4
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
10.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
10.2
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
10.2
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
10.2
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
10.0
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
9.8
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.7
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
9.7
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
9.7
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
9.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
9.6
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
9.5
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
9.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
9.5
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
9.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
9.4
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
9.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
9.1
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.9
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
8.9
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
8.8
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
8.8
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
8.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.5
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
8.5
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.3
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
8.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
8.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
8.2
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
8.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
8.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
7.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
7.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
7.6
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
7.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
7.4
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
7.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
7.4
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
7.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.3
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
7.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
6.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
6.4
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
5.7
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
5.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
5.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
5.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
5.1
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
5.1
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
4.8
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
4.6
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
4.6
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
4.5
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 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.
USP9X 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
42.9
Number of samples
486
Samples
Sample
Description
TPM
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
147.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
110.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
101.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
90.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
90.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
85.9
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
83.9
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
83.2
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
82.9
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
82.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
80.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
79.4
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
79.1
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
78.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
77.7
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
77.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
76.9
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
76.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
76.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
75.7
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
75.6
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
75.4
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
73.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
72.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
72.6
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
71.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
70.7
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
70.7
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
69.5
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
69.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
69.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
69.3
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
68.9
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
68.4
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
68.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
68.2
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
68.2
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
67.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
67.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
66.5
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
66.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
66.4
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
65.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
65.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
65.0
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
63.6
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
63.6
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
63.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
63.3
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
63.1
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
61.5
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
61.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.3
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
61.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
60.9
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
60.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
60.5
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
60.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
60.4
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
60.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
59.8
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
59.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
59.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
58.8
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
58.1
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
58.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
58.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
57.7
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
57.4
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
57.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
56.9
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
56.8
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
56.8
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
56.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
56.0
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
55.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
55.5
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
55.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.1
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
55.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
54.9
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
54.7
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
54.4
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
54.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
54.2
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
53.9
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
53.9
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
53.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
53.2
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
53.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
53.1
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
52.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
52.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
52.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
52.6
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
52.6
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
52.0
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
51.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
51.9
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
51.8
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
51.7
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
51.6
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
51.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
51.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
51.5
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
51.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
51.4
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
51.2
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
51.1
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
51.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
51.0
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
51.0
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
50.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
50.1
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
50.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
49.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
49.5
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
49.4
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
49.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
49.3
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
49.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
49.2
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
49.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
49.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
49.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
49.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
49.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
48.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
48.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
48.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
48.7
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
48.6
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
48.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
48.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
48.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
48.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
47.8
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
47.5
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
47.3
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
47.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
47.2
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
47.1
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
47.0
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
46.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
46.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
46.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
46.5
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
46.4
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
46.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
46.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
46.3
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
46.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
46.2
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
46.1
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
46.1
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
46.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
46.0
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
46.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
46.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
45.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
45.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
45.8
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
45.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
45.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
45.6
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
45.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
45.4
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
45.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
45.2
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
45.2
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
45.1
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
44.9
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
44.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
44.9
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
44.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
44.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
44.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
44.6
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
44.6
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
44.5
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
44.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
44.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
44.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
44.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
44.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
44.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
44.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
44.0
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
43.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
43.8
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
43.7
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
43.7
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
43.5
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
43.4
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
43.3
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
43.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
43.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
43.1
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
43.1
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
42.9
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
42.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.8
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
42.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
42.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
42.8
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
42.7
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
42.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
42.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
42.5
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
42.5
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
42.3
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
42.2
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
42.0
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
42.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
42.0
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
42.0
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
42.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
41.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
41.7
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.7
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
41.7
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
41.7
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
41.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
41.4
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
41.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
41.3
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
41.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
41.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
41.2
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
41.1
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
41.0
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
40.8
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
40.8
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
40.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
40.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
40.7
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
40.7
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
40.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
40.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
40.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
40.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
40.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
40.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
40.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
40.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
40.2
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
40.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
40.2
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
40.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
40.1
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
40.1
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
40.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
40.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
39.9
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
39.9
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
39.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
39.8
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
39.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
39.8
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
39.7
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
39.7
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
39.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.4
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
39.4
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
38.9
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
38.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
38.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
38.7
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
38.7
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
38.7
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
38.5
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
38.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
38.5
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
38.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
38.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.4
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
38.4
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
38.0
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
37.8
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
37.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
37.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
37.4
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
37.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
37.4
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
37.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
37.1
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
37.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
37.0
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
36.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
36.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
36.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
36.7
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
36.7
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
36.6
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
36.6
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
36.5
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
36.4
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
36.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
36.3
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
36.3
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
36.3
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
36.3
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
36.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
36.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
35.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
35.8
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
35.7
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
35.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
35.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
35.4
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
35.3
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
35.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
35.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
35.0
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
34.9
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
34.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
34.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
34.7
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
34.6
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
34.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
34.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
34.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
34.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
34.0
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
34.0
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
34.0
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
33.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
33.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
33.9
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
33.9
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
33.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
33.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
33.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
33.7
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
33.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
33.5
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
33.4
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
33.4
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
33.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
33.3
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
33.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
33.2
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
33.1
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
33.1
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
32.8
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
32.8
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
32.7
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
32.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
32.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
32.7
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
32.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
32.6
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
32.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
32.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
32.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
32.4
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
32.4
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
32.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
32.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
32.0
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
31.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
31.9
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
31.9
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
31.9
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
31.8
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
31.6
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
31.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
31.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
31.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
31.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
31.2
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
31.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
31.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
31.1
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
31.1
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
31.1
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
31.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
30.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
30.8
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
30.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
30.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
30.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
30.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
30.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
30.4
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
30.4
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
30.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
30.3
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
30.3
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
30.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
30.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
30.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
29.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
29.8
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
29.7
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
29.7
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
29.7
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
29.6
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
29.6
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
29.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
29.5
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
29.2
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
29.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
29.1
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
29.1
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
29.0
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
29.0
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
29.0
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
28.9
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
28.8
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
28.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
28.7
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
28.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.5
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
28.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
28.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
28.3
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
28.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
28.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
28.0
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
28.0
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
28.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
28.0
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
27.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
27.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
27.7
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
27.6
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
27.5
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
27.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
27.3
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
27.3
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
27.2
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
26.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
26.7
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
26.6
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
26.6
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
26.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
26.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
25.9
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
25.5
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
25.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
25.5
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
24.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
24.7
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
24.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
24.6
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
24.3
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
24.2
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
24.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
24.1
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
24.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
23.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
23.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
23.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
22.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
22.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
21.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
21.3
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
21.1
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
20.8
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
20.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
19.8
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
19.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
19.0
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
18.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
18.4
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
18.1
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
18.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
16.8
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
15.1
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
14.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
1.2
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.
USP9X 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
15.9
Number of samples
88
Samples
Sample
Description
TPM
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
39.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
37.5
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
37.4
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
28.3
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
28.3
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
26.8
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
25.6
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.7
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
23.5
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
22.7
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.6
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
22.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
22.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
22.1
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
22.0
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
21.9
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
21.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.3
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
21.2
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
20.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
20.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
19.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
19.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
19.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
19.2
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
18.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
18.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
18.4
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
18.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
17.9
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
17.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
17.4
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
17.4
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
17.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
17.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
16.9
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
16.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
16.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
15.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
15.7
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
15.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
15.3
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
14.6
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
14.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
14.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
14.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
14.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
14.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
13.7
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
13.6
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
13.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
13.4
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
13.2
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
12.9
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
12.6
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
12.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
12.2
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
11.8
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
11.8
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
11.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
11.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
11.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
11.3
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
11.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.0
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
10.8
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
10.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
10.1
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
10.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
10.0
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.9
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
9.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
9.6
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
9.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
9.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
8.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
8.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
8.5
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
7.6
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
6.2
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.2
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
6.1
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.
USP9X 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
39.5
Number of samples
207
Samples
Sample
Description
TPM
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
112.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
81.4
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
75.3
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
72.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
69.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
69.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
68.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
68.5
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
67.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
66.7
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
65.2
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
64.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
63.8
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
63.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
63.1
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
59.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
58.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
57.5
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
56.7
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
56.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
55.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
55.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
55.0
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
54.9
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
54.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
54.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
53.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
53.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
53.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
52.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
52.9
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
52.5
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
52.3
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
52.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
51.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
51.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
51.2
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
51.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
51.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
50.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
50.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
49.5
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
49.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
49.4
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
49.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
49.1
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
48.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
48.6
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
48.5
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
48.5
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
48.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
47.8
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
47.7
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
47.6
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
47.3
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
46.7
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
46.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
46.0
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
45.9
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
45.8
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
45.4
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
45.1
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
45.0
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
44.4
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
44.4
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
44.3
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
43.3
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
42.9
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
42.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
42.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
42.6
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
42.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
42.5
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
42.3
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
42.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
42.2
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
41.6
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
41.4
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
41.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
41.1
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
40.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
40.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
39.9
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
39.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
39.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
39.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
38.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
38.2
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
38.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
37.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
37.7
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
37.2
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
37.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
36.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
36.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
36.3
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
36.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
36.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
36.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.0
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
36.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
35.9
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
35.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
35.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
35.0
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
35.0
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
34.9
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
34.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
34.5
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
34.5
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
34.5
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
34.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
34.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
34.2
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
34.2
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
34.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
33.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
33.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
33.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
33.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
33.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
32.9
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
32.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
32.8
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
32.7
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
32.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
32.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
32.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
32.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
32.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
32.1
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
32.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
31.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
31.8
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
31.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
31.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
31.7
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
31.5
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
31.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
31.4
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
31.4
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
31.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
31.3
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
31.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
31.2
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
31.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
31.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
31.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
31.1
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
30.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
30.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
30.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
30.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
30.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
30.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
30.3
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
30.0
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
29.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
29.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
29.1
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
28.9
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
28.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
28.6
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
28.5
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
28.4
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
28.3
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
28.3
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
28.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
28.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
28.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
27.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
27.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
27.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
27.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
27.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
27.0
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
27.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
26.9
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
26.9
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
26.3
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
26.2
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
26.1
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
26.1
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.9
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
25.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
25.9
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.8
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
25.7
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
25.7
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
25.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
25.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
24.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
24.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
24.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
24.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
24.3
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
24.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
23.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
23.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
23.4
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
22.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
21.7
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
21.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
20.6
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.0
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.5
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.5
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.4
02cde0c0-6840-495b-9b11-007d82_D2
Normal
0.4
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.3
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.3
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.3
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
0.3
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.2
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.2
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.2
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.2
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
0.2
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.2
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.2
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.2
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
b2400046-1d25-429d-a821-6040a6
Tumor
0.2
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
0.2
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.2
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.2
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.2
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Tumor
0.1
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Tumor
0.1
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.1
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.1
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.1
963fc8db-f412-4427-a198-23f660_D2
Normal
0.1
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.1
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.1
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.1
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.1
1c070992-647b-4173-a481-904c4d_D2
Normal
0.1
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.1
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.1
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.1
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.1
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.1
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.1
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.1
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.1
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.1
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.1
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.0
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.0
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
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Normal
0.0
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.0
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.0
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.0
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
82157a70-12f1-4913-b548-d98881_D2
Normal
0.0
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.0
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.0
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.0
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.0
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.0
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.0
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Normal
0.0
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Tumor
0.0
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.0
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Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.0
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.1
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Tumor
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-0.1
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.2
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.2
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.2
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.4
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
