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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.
RPS6KA3 is not prognostic in Colon Adenocarcinoma (TCGA)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
21.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
89.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
81.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
49.5
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
47.4
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
44.7
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
44.4
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
43.3
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
43.0
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
42.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
42.1
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
41.4
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
40.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
39.5
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
39.5
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
38.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
38.1
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
37.5
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
37.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
37.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
36.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
35.9
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
35.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
35.6
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
34.6
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
33.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
33.1
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
32.6
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
32.5
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
32.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
31.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
31.5
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
30.9
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
30.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.4
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
29.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
29.7
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
29.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.5
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
29.3
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
29.2
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
29.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
28.9
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
28.7
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
28.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
28.1
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
28.0
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
27.9
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.6
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
27.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
27.4
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
27.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
27.3
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
26.9
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
26.7
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
26.5
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
26.4
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
26.2
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
26.2
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
26.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
26.0
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
25.8
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
25.7
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
25.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
25.6
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
25.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
25.2
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
25.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
25.1
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
25.1
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
24.9
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
24.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
24.6
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
24.6
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
24.3
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
24.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
24.0
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
23.9
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
23.8
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
23.5
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
23.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
23.4
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
23.4
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
23.3
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
23.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
23.3
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
23.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
22.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
22.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
22.5
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
22.4
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.3
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
22.1
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
22.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
21.8
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
21.6
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
21.6
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
21.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
21.3
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
21.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
21.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
21.1
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
21.1
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
21.0
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
20.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
20.9
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
20.8
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
20.7
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
20.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.6
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
20.5
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
20.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
20.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
20.4
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
20.3
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
20.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
20.3
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
20.2
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
20.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
19.8
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
19.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
19.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
19.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
19.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
19.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
19.3
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
19.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
19.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
19.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
19.0
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
19.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
19.0
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
19.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
18.9
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
18.9
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
18.8
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
18.8
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
18.6
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
18.6
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
18.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
18.5
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
18.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
18.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
18.2
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
18.2
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
17.9
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
17.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
17.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
17.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
17.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
17.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
17.2
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
17.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
17.2
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
17.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
16.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
16.8
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
16.8
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
16.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
16.5
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
16.5
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
16.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
16.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
16.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
16.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
16.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
16.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
16.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
15.9
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
15.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
15.5
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
15.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
15.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
15.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
15.1
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
15.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
14.7
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
14.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
14.6
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
14.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.6
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
14.6
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
14.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
14.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
14.2
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
14.1
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
14.1
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
14.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
14.1
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
13.9
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
13.8
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
13.7
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
13.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
13.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
13.4
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
13.4
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
13.3
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
13.3
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
13.1
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.1
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
13.0
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
13.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
12.9
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
12.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
12.9
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
12.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
12.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
12.7
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
12.7
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
12.6
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
12.6
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
12.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
12.2
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
12.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
12.1
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
11.7
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
11.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
11.5
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
11.4
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
11.2
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
11.2
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
11.0
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
10.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.9
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
10.9
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
10.8
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
10.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
10.7
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
10.7
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
10.6
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
10.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
10.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
10.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
10.1
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.8
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
9.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
9.4
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
9.4
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
9.3
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
9.2
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
8.9
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
8.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.6
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
8.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
8.1
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
7.6
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
7.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
6.9
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
6.7
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
6.3
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 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.
RPS6KA3 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
54.7
Number of samples
486
Samples
Sample
Description
TPM
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
114.6
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
112.1
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
110.6
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
108.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
107.8
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
107.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
107.2
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
106.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
98.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
97.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
97.0
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
96.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
94.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
94.0
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
93.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
93.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
91.2
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
91.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
90.1
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
89.8
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
88.8
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
88.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
87.9
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
87.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
87.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
85.7
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
85.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
85.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
84.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
84.8
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
84.1
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
83.8
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
82.5
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
82.2
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
82.1
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
81.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
81.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
81.8
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
81.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
81.6
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
81.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
80.7
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
80.6
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
80.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
80.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
79.9
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
79.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
79.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
79.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
78.5
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
78.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
78.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
77.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
77.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
77.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
77.5
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
77.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
77.3
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
76.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
76.0
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
75.6
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
75.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
75.3
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
74.9
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
74.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
74.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
73.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
73.7
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
73.4
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
73.2
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
73.2
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
73.1
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
73.0
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
72.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
72.5
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
72.4
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
72.4
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
72.1
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
72.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
72.0
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
71.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.6
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
71.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
71.2
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
71.2
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
71.2
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
69.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
69.1
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
68.8
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
68.7
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
68.4
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
68.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
68.0
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
68.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
68.0
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
67.9
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
67.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
67.2
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
67.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
67.1
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
66.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
66.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
66.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
66.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
66.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
66.5
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
66.4
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
66.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
66.0
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
65.9
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
65.8
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
65.5
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
65.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
65.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
65.3
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
65.3
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
65.3
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
65.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
65.1
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
65.1
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
65.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
64.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
64.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
64.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
64.2
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
64.0
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
64.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
63.8
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
63.6
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
63.3
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
63.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
63.2
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
62.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
62.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
62.6
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
62.6
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
62.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
62.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
61.9
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
61.6
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
61.6
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
61.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
61.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
61.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
61.0
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
60.8
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
60.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
60.8
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
60.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
60.7
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
60.6
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
60.5
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
60.4
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
60.2
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
60.1
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
60.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
60.0
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
59.9
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
59.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
59.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
59.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
59.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
59.6
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
59.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
59.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
59.3
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
59.3
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
59.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
59.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
59.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
59.0
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
58.8
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
58.7
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
58.2
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
58.0
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
58.0
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
57.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
57.8
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
57.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
57.5
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
57.5
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
57.4
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
57.1
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
57.1
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
56.9
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
56.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
56.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
56.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
56.7
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
56.6
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
56.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
56.2
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
56.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
56.0
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
56.0
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
56.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
56.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
56.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
55.8
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
55.4
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
55.4
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
55.4
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
55.3
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
55.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
55.3
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
55.2
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
55.2
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
55.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
55.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
54.9
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
54.9
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
54.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
54.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
54.7
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
54.4
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
54.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
54.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
54.1
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
54.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
53.9
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
53.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
53.8
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
53.8
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
53.5
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
53.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
53.2
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
53.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
53.1
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
53.1
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
52.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
52.9
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
52.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
52.7
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
52.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
52.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
52.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
52.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
51.9
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
51.9
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
51.8
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
51.7
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
51.6
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
51.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
51.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
51.3
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
51.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
51.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
51.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
51.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
51.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
51.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
51.0
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
51.0
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
50.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
50.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
50.6
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
50.6
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
50.5
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
50.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
50.3
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
50.2
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
50.2
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
50.1
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
50.0
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
50.0
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
49.7
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
49.6
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
49.6
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
49.5
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
49.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
49.5
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
49.4
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
49.4
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
49.2
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
49.1
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
49.1
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
49.0
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
49.0
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
48.9
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
48.8
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
48.8
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
48.7
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
48.5
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
48.5
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
48.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
48.1
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
48.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
47.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
47.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
47.4
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
47.3
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
47.2
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
47.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
47.1
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
47.1
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
47.0
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
46.9
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
46.9
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
46.9
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
46.9
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
46.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
46.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
46.7
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
46.7
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
46.5
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
46.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
46.4
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
46.4
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
46.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
46.3
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
46.3
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
46.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
46.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
46.1
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
46.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
46.0
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
45.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
45.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
45.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
45.7
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
45.4
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
45.4
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
45.4
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
45.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
45.2
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
45.1
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
45.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
44.9
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
44.9
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
44.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
44.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
44.7
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
44.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
44.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
44.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
44.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
44.4
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
44.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
44.1
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
44.0
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
43.9
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
43.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
43.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
43.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
43.8
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
43.7
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
43.7
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
43.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
43.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
43.5
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
43.5
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
43.5
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
43.4
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
43.3
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
43.3
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
43.2
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
43.2
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
43.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
43.1
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
42.7
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
42.7
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
42.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
42.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
42.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
42.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
42.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
42.4
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
42.3
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
42.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
42.2
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
42.2
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
42.1
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
42.1
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
42.1
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
41.9
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
41.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
41.9
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
41.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
41.7
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
41.7
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
41.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
41.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
41.4
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
41.4
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
41.3
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
41.3
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
41.3
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
41.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
41.2
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
41.1
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
41.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
41.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
41.0
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
40.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
40.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
40.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
40.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
40.5
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
40.4
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
40.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
40.3
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
40.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
39.9
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
39.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
39.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
39.7
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
39.5
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
39.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
39.4
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
39.3
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
39.3
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
39.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
39.0
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
39.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
38.9
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
38.6
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
38.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
38.3
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
38.3
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
38.3
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
38.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
38.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
38.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
38.1
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
38.0
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
38.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
38.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
38.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
37.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
37.6
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
37.4
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
37.3
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
37.3
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
37.2
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
36.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
36.5
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
36.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
36.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
35.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
35.9
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
35.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
35.4
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
35.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
35.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
35.2
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
35.1
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
34.1
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
34.0
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
33.8
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
33.5
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
33.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
33.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
33.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
32.9
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
32.7
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
32.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
32.5
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
32.5
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
32.1
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
31.8
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
31.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
31.6
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
30.9
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
29.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
29.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
28.9
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
27.7
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
27.2
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
27.1
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
25.6
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
25.0
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
23.8
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
23.7
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
22.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
22.3
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
22.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
22.0
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
21.0
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
19.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
17.9
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.
RPS6KA3 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
23.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
60.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
56.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
53.7
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
51.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
48.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
40.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
38.8
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
37.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
36.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
36.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
35.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
32.7
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
32.4
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.9
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
30.7
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
30.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
29.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
29.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
29.0
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
28.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
28.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
27.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
27.8
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
27.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
27.6
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.9
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
26.1
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
25.9
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
25.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
25.6
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
25.4
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
25.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
24.4
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
24.1
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
23.7
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
23.6
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
23.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
23.0
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
22.6
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
22.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
22.0
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
21.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
21.7
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
20.9
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
20.7
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
20.6
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
20.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
20.4
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
20.4
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
20.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
20.0
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
19.5
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
19.3
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
19.1
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
18.8
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
18.7
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
18.7
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
18.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
18.2
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
17.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
17.6
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
17.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
17.4
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
16.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
16.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
16.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
16.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
16.6
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
16.6
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
16.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
16.4
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
15.4
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
14.7
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
14.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
13.7
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
13.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.4
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
12.8
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
12.4
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
12.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
11.6
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
10.7
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
9.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
9.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
5.1
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
4.2
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RPS6KA3 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
51.8
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
106.3
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
93.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
88.6
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
88.4
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
88.2
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
88.0
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
87.5
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
87.3
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
86.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
85.9
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
83.0
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
82.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
82.2
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
80.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
78.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
77.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
76.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
76.0
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
74.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
73.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
73.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
73.3
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
70.6
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
70.4
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
70.3
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
69.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
69.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
68.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
68.8
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
68.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
68.2
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
68.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
68.1
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
66.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
66.6
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
66.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
65.8
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
65.8
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
65.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
65.3
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
64.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
64.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
64.3
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
64.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
63.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
63.6
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
63.3
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
62.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
61.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
61.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
61.2
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
61.2
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
60.7
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
60.5
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
60.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
59.9
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
59.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
59.7
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
59.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
59.2
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
59.2
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
58.0
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
57.2
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
56.9
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
56.5
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
56.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
56.2
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
55.8
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
55.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
54.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
54.3
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
54.2
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
54.1
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
53.9
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
53.8
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
53.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
53.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
53.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
53.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
53.3
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
53.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
53.1
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
52.8
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
52.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
52.5
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
52.4
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
52.2
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
52.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
52.0
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
51.9
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
51.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
51.4
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
51.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
51.0
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
50.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
50.9
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
50.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
50.7
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
50.6
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
50.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
50.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
50.3
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
50.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
49.9
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
49.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
49.9
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
49.6
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
49.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
49.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
49.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
49.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
49.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
48.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
48.8
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
48.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
48.6
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
48.4
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
48.3
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
48.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
47.9
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
47.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
47.5
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
47.4
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
47.1
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
47.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
47.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
46.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
46.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
46.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
46.0
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
45.8
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
45.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
45.5
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
45.5
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
45.0
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
45.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
44.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
44.9
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
44.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
44.5
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
44.5
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
44.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
44.2
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
44.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
43.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
43.6
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
43.5
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
43.4
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.3
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
43.2
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
43.1
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
43.1
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
43.1
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
42.8
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
42.8
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
42.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
41.5
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
41.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
41.2
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
41.1
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
40.8
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
40.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
39.9
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
39.8
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
39.7
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
39.6
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
38.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
37.9
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
37.8
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
37.7
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
37.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
37.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
36.2
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
35.9
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
35.9
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
35.9
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
35.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
35.6
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
35.5
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
35.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
34.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
34.5
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
34.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
34.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
34.1
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
33.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
33.4
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
33.4
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
32.8
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
32.6
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
31.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
31.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
31.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
30.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
30.3
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
30.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
29.9
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
28.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
26.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
26.0
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
25.8
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
25.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
24.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
22.2
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
19.8
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
11.5
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.6
8cc7e656-0152-4359-8566-0581c3
Tumor
0.6
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.5
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
0.5
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.4
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.4
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.4
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.4
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
0.3
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.3
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.3
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
0.3
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.3
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.3
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.3
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.3
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.3
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.3
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.3
5e886f1c-8165-4232-9591-d80799_D2
Normal
0.3
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.2
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.2
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.2
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.2
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.2
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
0.2
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
0.2
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
0.2
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
0.2
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.2
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.2
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.2
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.2
2b810478-7956-4a8b-870d-184859_D2
Tumor
0.2
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
0.2
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
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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
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Normal
0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
0.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
0.1
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.1
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.1
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.1
b2400046-1d25-429d-a821-6040a6
Tumor
0.1
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
0.1
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.1
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.1
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.1
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
0.1
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.1
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.1
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
0.1
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.1
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
0.1
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.1
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.1
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.1
41a04113-2061-4923-bca5-da586c_D2
Normal
0.0
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
0.0
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
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Tumor
0.0
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.0
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
0.0
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.0
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.0
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.0
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.0
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.0
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.0
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.0
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.0
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
0.0
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.0
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.0
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.0
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.1
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.1
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.1
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.1
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.1
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.1
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
-0.1
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.1
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
-0.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.1
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.1
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.1
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Normal
-0.2
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
-0.2
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.2
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.2
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Tumor
-0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.3
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Tumor
-0.3
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
-0.3
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.3
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.3
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.3
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.3
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.4
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.4
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.4
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-0.5
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
-0.6
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
