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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.
RAB32 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
37.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
115.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
106.1
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
96.4
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
91.5
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
90.5
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
87.3
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
84.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
82.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
80.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
76.9
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
75.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
75.2
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
75.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
73.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
73.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
72.5
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
72.5
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
70.5
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
68.4
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
67.9
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
67.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
65.4
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
65.1
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
64.9
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
64.4
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
63.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
63.4
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
63.2
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
61.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
60.4
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
58.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
57.3
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
56.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
56.4
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
55.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
55.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
54.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
53.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
53.6
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
53.4
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
53.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
53.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
53.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
52.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
52.2
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
52.2
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
51.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
51.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
51.0
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
50.5
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
50.1
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
49.9
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
49.9
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
49.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
48.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
48.9
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
48.8
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
48.8
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
48.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
47.8
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
47.8
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
47.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
47.6
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
47.2
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
46.9
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
46.9
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
46.5
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.1
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
46.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
46.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
46.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
46.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
45.4
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
45.3
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
45.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
45.2
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
45.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
44.8
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
44.7
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
44.7
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
44.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
44.2
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
44.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
43.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
43.9
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
43.6
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
43.6
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
43.5
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
43.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
43.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
43.2
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
43.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
42.6
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
42.3
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
42.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
42.1
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
41.9
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
41.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
41.5
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
41.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
41.1
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
41.0
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
40.6
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
40.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
40.1
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
40.1
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
40.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
40.0
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
39.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
39.9
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
39.8
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
39.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
39.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
39.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
39.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
39.7
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
39.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
39.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
39.2
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
39.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
38.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
38.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
38.5
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
38.4
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
38.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
38.1
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
38.0
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
37.8
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
37.4
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
37.3
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
37.3
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
37.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
37.0
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
36.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.3
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
36.1
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
35.7
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
35.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
35.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
35.2
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
35.0
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
35.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
34.8
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
34.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
34.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
34.4
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
34.4
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
33.7
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
33.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
33.3
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
33.1
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
33.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
32.8
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
32.7
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
32.3
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
32.3
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
32.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
31.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
31.5
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
31.4
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
31.3
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
31.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
30.9
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
30.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
30.7
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
30.7
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
30.6
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
30.4
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
30.3
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
30.3
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
30.2
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
30.0
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
30.0
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
29.8
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
29.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
29.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
28.7
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
28.7
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
28.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
28.3
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
28.1
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
28.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
27.9
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
27.3
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
27.3
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
27.2
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
27.2
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
26.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
26.3
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
24.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
24.5
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
24.3
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
23.8
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
23.8
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
23.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
23.4
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
23.1
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
22.7
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
22.6
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
22.3
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
22.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
20.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
20.4
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
20.2
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
19.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
19.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
18.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
18.4
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
18.0
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
17.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
17.7
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
17.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
17.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
17.0
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
17.0
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
16.8
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.8
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
15.7
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
15.4
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
15.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
15.1
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
14.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
14.1
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
14.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
13.6
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
12.3
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
12.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
11.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
11.0
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
9.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
9.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
9.7
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
9.5
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
9.4
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
9.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
9.0
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
8.4
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
7.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
7.1
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
6.9
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
6.4
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
5.7
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
5.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
5.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
5.0
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
5.0
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
4.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
4.5
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
4.4
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
3.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
2.6
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 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.
RAB32 is potential prognostic, high expression is favorable 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
15.9
Number of samples
486
Samples
Sample
Description
TPM
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
47.1
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
45.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
45.7
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
44.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
41.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
40.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
39.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
37.9
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
37.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
37.3
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
36.4
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
36.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
36.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
35.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
35.3
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
35.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
33.2
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
33.2
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
32.8
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
32.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
31.8
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
31.7
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
31.6
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
31.0
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
30.5
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
30.3
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
30.3
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
30.3
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
29.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
29.6
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
29.1
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
28.9
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
28.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
28.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
28.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
28.2
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
28.1
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
28.1
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
28.0
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
27.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
27.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
27.4
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
27.3
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
27.2
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
27.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
26.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
26.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
26.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
26.7
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
26.7
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
26.4
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
26.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
26.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
26.1
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
26.0
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
26.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
25.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
25.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
25.8
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
25.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
25.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
25.7
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
25.6
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
25.5
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
25.5
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
25.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
25.5
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
25.1
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
24.8
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
24.7
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
24.7
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
24.5
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
24.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
24.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
24.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
23.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
23.7
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
23.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
23.6
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
23.6
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
23.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
23.4
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
23.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
23.4
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
23.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
23.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
23.2
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
23.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
23.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
23.1
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
23.1
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
23.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
23.0
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
23.0
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
22.9
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
22.7
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
22.7
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
22.4
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
22.4
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
22.2
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
22.2
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
22.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
22.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
21.8
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
21.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
21.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
21.6
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
21.5
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
21.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
21.5
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
21.5
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
21.5
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
21.5
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
21.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
21.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
21.1
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
21.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
21.1
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
21.1
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
21.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
21.1
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
21.0
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
21.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
20.8
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
20.8
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
20.6
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
20.6
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
20.6
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
20.6
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
20.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
20.5
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
20.5
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
20.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
20.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
20.4
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
20.3
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
20.2
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
20.2
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
20.2
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
20.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
20.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
20.1
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
20.0
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
20.0
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
19.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
19.9
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
19.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
19.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
19.8
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
19.8
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
19.6
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
19.6
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
19.6
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
19.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
19.5
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
19.4
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
19.4
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
19.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
19.1
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
19.1
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
19.0
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
19.0
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.0
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
18.8
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
18.8
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
18.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
18.6
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
18.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
18.5
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
18.5
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
18.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
18.4
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
18.4
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
18.4
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
18.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
18.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
18.1
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
18.1
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
18.0
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
18.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
18.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
17.8
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
17.8
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
17.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
17.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
17.7
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
17.7
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
17.6
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
17.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
17.6
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
17.5
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
17.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
17.3
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
17.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
17.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
17.3
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
17.3
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
17.3
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
17.2
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
17.2
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
17.2
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
17.1
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
17.0
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
17.0
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
17.0
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
17.0
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
16.9
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
16.9
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
16.8
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
16.8
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
16.8
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
16.8
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
16.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
16.8
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
16.7
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
16.7
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
16.7
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
16.6
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
16.5
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
16.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
16.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
16.4
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
16.4
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
16.2
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
16.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
16.0
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
16.0
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
15.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
15.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
15.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
15.7
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
15.7
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
15.6
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
15.6
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
15.5
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
15.5
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
15.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
15.3
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
15.1
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
15.0
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
15.0
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
15.0
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
15.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
14.9
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
14.9
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
14.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
14.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
14.8
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
14.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
14.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
14.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
14.6
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
14.5
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
14.5
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
14.5
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
14.5
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
14.5
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
14.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
14.4
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
14.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
14.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
14.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
14.3
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
14.2
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
14.2
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
14.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
14.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
14.2
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
14.2
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
14.2
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
14.1
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
14.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
14.0
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
13.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
13.8
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
13.7
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
13.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
13.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
13.7
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
13.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
13.7
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
13.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
13.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
13.5
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
13.4
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
13.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
13.4
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
13.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
13.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
13.3
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
13.2
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
13.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
13.2
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
13.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
13.1
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
13.1
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
13.0
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
12.9
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
12.8
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
12.8
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
12.8
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
12.8
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
12.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
12.6
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
12.6
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
12.5
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
12.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
12.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
12.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
12.3
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
12.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
12.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
12.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
12.2
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
12.2
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
12.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
12.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
12.1
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
12.0
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
12.0
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
12.0
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
12.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
12.0
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
11.8
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
11.8
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
11.6
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
11.6
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
11.5
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
11.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
11.4
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
11.4
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
11.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
11.2
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
11.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
11.0
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
11.0
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
11.0
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
10.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
10.8
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
10.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
10.8
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
10.8
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
10.7
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
10.7
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
10.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
10.6
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
10.5
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
10.5
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
10.5
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
10.5
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
10.5
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
10.5
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
10.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
10.4
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
10.2
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
10.2
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
10.2
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
10.0
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
10.0
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
10.0
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
9.9
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
9.9
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
9.9
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
9.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
9.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
9.7
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
9.7
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
9.7
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
9.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
9.5
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
9.3
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
9.3
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
8.9
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
8.8
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
8.8
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
8.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
8.8
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
8.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
8.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
8.7
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
8.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
8.7
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
8.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
8.6
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
8.6
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
8.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
8.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
8.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
8.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
8.4
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
8.4
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
8.3
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
8.3
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
8.2
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
8.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
8.1
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
8.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
7.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
7.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
7.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
7.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
7.7
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
7.6
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
7.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
7.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
7.6
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
7.6
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
7.6
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
7.5
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
7.5
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
7.5
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
7.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
7.3
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
7.2
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
7.2
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
7.2
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
7.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
7.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
7.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
7.2
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
7.1
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
7.0
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
6.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
6.8
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
6.6
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
6.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
6.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
6.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
6.5
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
6.5
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
6.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
6.2
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
6.2
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
6.2
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
6.2
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
6.1
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
5.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
5.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
5.8
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
5.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
5.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
5.7
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
5.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
5.6
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
5.6
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
5.6
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
5.5
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
5.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
5.4
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
5.3
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
5.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
5.1
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
5.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
5.1
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
4.9
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
4.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
4.7
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
4.6
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
4.6
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
4.5
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
4.4
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
4.3
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
4.3
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
4.2
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
4.1
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
3.9
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
3.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
3.5
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
3.0
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
3.0
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
2.9
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
2.9
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
2.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
2.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
2.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
2.4
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
2.3
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
2.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
2.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
2.0
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
2.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
1.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
1.6
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
1.2
U0074
0 years, female, NA, stage:T3N0M0, dead, 1438 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAB32 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
42.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
102.3
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
96.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
96.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
89.1
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
86.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
75.0
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
70.5
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
69.9
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
66.6
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
64.3
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
63.5
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
61.9
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
61.1
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
60.5
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
59.5
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
57.6
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
56.0
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
55.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.4
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
55.1
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
53.5
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
53.0
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
52.2
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
50.3
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
49.5
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
49.5
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
47.1
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
46.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
46.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
46.0
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
45.3
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
45.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
44.9
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
44.1
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
42.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
41.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
41.2
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
40.9
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
40.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
40.3
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
39.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
38.6
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
38.5
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
38.5
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
38.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
37.9
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
37.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
37.1
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
36.7
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
35.7
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
35.5
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
35.4
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
35.4
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
34.8
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
34.5
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
34.1
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
33.1
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
31.9
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
31.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
31.2
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
31.0
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
30.2
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
30.1
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
29.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
28.9
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
28.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
28.5
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
28.4
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
28.2
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
27.9
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
27.1
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
26.1
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
26.1
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
25.0
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
24.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
22.8
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
21.0
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
20.9
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
18.7
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
17.3
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
15.8
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
14.9
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
13.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
12.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
10.6
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
8.7
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
RAB32 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
15.5
Number of samples
207
Samples
Sample
Description
TPM
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
37.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
33.1
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
32.2
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
32.2
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
32.1
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
31.5
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
31.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
30.6
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
29.6
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
29.4
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
27.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
27.1
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
27.1
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
26.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
26.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
25.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
25.2
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
24.9
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
24.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
24.6
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
24.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
24.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
23.6
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
23.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
22.9
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
22.9
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
22.6
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
22.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
22.0
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
22.0
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
21.9
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
21.8
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
21.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
21.7
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
21.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
21.5
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
21.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
21.2
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
20.7
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
20.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
20.1
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
20.1
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
19.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
19.4
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
19.3
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
19.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
18.9
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
18.8
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
18.8
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
18.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
18.7
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
18.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
18.5
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
18.5
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
18.4
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
18.3
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
18.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
18.3
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
18.1
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
17.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
17.9
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
17.8
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
17.8
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
17.8
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
17.8
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
17.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
17.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
17.6
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
17.0
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
16.8
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
16.8
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
16.7
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
16.5
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
16.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
16.4
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
16.3
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
16.2
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
16.2
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
16.2
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
16.2
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
16.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
16.1
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
16.1
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
16.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
15.8
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
15.8
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
15.8
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
15.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
15.7
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
15.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
15.5
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
15.4
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
15.4
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
15.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
15.3
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
15.3
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
15.3
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
15.2
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
15.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
15.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
15.1
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
15.0
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
14.9
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
14.8
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
14.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
14.6
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
14.5
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
14.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
14.4
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
14.3
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
14.3
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
14.3
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
14.3
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
14.2
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
14.2
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
14.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
14.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
13.9
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
13.9
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
13.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
13.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
13.6
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
13.6
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
13.6
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
13.6
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
13.5
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
13.5
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
13.4
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
13.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
13.3
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
13.2
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
13.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
12.9
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
12.9
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
12.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
12.9
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
12.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
12.8
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
12.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
12.6
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
12.6
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
12.6
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
12.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
12.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
12.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
12.0
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
12.0
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
11.9
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
11.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
11.8
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
11.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
11.7
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
11.6
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
11.5
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
11.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
11.4
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
11.2
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
11.2
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
11.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
10.9
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
10.8
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
10.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
10.6
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
10.6
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
10.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
10.5
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
10.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
10.3
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
10.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
10.1
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
10.1
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
10.0
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
9.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
9.9
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
9.9
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
9.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
9.5
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
9.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
9.4
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
9.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
9.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
9.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
8.9
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
8.8
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
8.4
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
8.4
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
8.3
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
7.8
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
7.7
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
7.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
7.6
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
7.5
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
7.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
7.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
6.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
6.8
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
6.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
6.5
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
6.2
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
5.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
5.6
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
5.5
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
5.1
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
4.9
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
4.5
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
4.1
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
2.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.8
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.7
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.6
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.6
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.6
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.5
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.5
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.5
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.5
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.4
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
0.4
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
0.4
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.4
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.4
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.4
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
0.3
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
0.3
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.3
0f238226-864c-4de0-8c61-01e729_D2
Tumor
0.3
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Normal
0.3
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
0.3
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.3
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Normal
0.3
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.3
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Tumor
0.3
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Tumor
0.3
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Normal
0.2
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Tumor
0.2
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Normal
0.2
0d5554d1-1653-4589-a44f-43113e_D2
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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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.2
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Tumor
0.2
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Normal
0.2
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Normal
0.2
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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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Normal
0.2
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Tumor
0.2
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Tumor
0.2
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.0
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Tumor
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Tumor
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
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Normal
-0.1
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-0.1
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
-0.1
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Normal
-0.1
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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Tumor
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Tumor
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Normal
-0.2
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Tumor
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Tumor
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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
-0.3
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Tumor
-0.3
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Tumor
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Normal
-0.3
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Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Normal
-0.4
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.5
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.6
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
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Tumor
-0.7
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-1.0
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
