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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.
PTPRA 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
36.1
Number of samples
254
Samples
Sample
Description
TPM
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
134.4
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
93.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
87.9
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
87.6
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
85.2
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
84.1
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.1
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
82.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
82.1
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
80.8
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
80.3
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
76.4
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
74.6
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
74.2
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
74.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
73.5
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
70.7
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
70.4
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
68.0
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
66.8
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
65.0
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
64.7
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
62.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
61.9
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
61.9
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
58.7
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
58.7
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
58.1
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
57.4
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
57.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
56.0
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
55.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
55.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
55.2
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
53.4
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
51.3
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
50.5
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
50.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
49.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
49.1
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
48.5
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
48.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
48.2
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
48.1
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
48.0
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
47.9
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
47.5
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
47.0
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
46.4
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
46.0
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
45.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
44.9
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
44.8
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
44.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
43.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
43.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
43.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
42.1
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
41.9
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
41.9
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
41.8
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
41.8
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
41.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
41.5
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
41.4
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
41.2
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
41.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
41.0
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
40.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
40.6
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
40.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
40.3
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
40.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
40.1
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
40.0
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
39.4
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
39.4
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
39.3
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
39.2
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
39.1
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
39.0
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
38.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
38.7
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
38.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
38.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
38.4
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
38.2
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
38.2
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
37.6
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
37.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
37.5
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
37.4
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
37.2
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
36.7
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
36.4
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
36.3
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
36.2
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
36.1
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
35.6
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
35.4
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
35.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
35.0
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
34.9
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
34.9
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
34.7
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
34.6
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
34.5
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
34.4
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
34.4
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
34.2
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
34.2
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
33.9
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
33.7
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
33.3
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
33.2
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
33.0
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
32.9
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
32.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
32.6
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
32.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
32.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
32.2
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
32.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
32.0
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
32.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
31.9
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
31.7
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
31.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
31.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
31.3
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
31.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
31.0
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
30.9
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
30.8
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
30.7
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
30.6
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
30.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
30.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
30.4
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
30.3
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
30.2
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
30.2
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
30.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
30.0
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
30.0
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
29.9
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
29.8
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
29.8
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
29.7
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
29.4
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
29.4
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
29.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
29.3
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
29.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
29.0
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
28.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
28.7
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
28.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
28.5
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
28.5
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
28.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
28.4
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
28.1
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
28.1
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
27.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
27.6
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
27.5
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
27.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
27.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
27.0
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
27.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
27.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
26.9
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
26.8
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
26.7
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.7
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
26.6
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
26.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
26.2
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
26.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
26.0
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
26.0
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
25.9
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
25.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
25.5
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
25.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
25.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
25.3
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
25.0
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
25.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
25.0
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
24.8
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
24.4
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
24.3
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
24.1
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
23.7
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
23.6
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
23.5
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
23.5
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
23.5
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
23.3
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
23.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
22.9
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
22.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
22.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
22.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.5
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
22.0
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
21.9
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
21.6
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
21.5
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
21.0
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
20.7
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
20.7
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
20.6
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
20.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
20.4
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
20.1
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
19.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
19.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
19.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
19.6
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
19.4
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
19.1
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
18.7
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
18.6
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.2
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
18.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
18.0
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
17.9
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
17.6
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
17.4
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
16.9
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
16.4
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
16.1
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
16.1
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
15.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
15.6
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
15.5
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
15.3
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
15.2
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
15.0
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
15.0
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
14.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
14.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
14.6
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
14.3
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
13.5
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
13.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
13.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
12.6
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
12.5
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 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.
PTPRA is not prognostic in Colon Adenocarcinoma (validation)
Stage:
Survival analysis
Current cut offi
Current cut-off shows the cut-off (FPKM) currently selected. It may be changed manually. When the current cut-off is changed, the vertical dashed line indicating cut-off, the interactive survival scatter plot and the Kaplan-Meier curve will be automatically adjusted to show results accordingly.
:
Best expression cut offi
Based on the FPKM value of each gene, patients were classified into two groups and association between prognosis (survival) and gene expression (FPKM) was examined. The best expression cut-off refers the FPKM value that yields maximal difference with regard to survival between the two groups at the lowest log-rank P-value. Best expression cut-off was selected based on survival analysis .
When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the best expression cut-off.
Median expression refers to the median FPKM value calculated based on the gene expression (FPKM) data from all patients in this dataset. When clicking on this number, the vertical dashed line indicating cut-off, the interactive survival plot, and the Kaplan-Meier curve will be adjusted to show results based on the median expression.
Median follow up time refers to the median time (years) after diagnosis with this type of cancer, based on clinical data from all patients in this dataset.
: N/A
P scorei
Log-rank P value for Kaplan-Meier plot showing results from analysis of correlation between mRNA expression level and patient survival.
N/A
5-year survival highi
5-year survival for patients with higher expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
5-year survival lowi
5-year survival for patients with lower expression than the expression cutoff.
For melanoma and glioma, 3-year survival is shown.
N/A
TCGA RNA samplesi
RNA-seq data is reported as average FPKM (number Fragments Per Kilobase of exon per Million reads), generated by the The Cancer Genome Atlas (TCGA) .
Normal distribution across the dataset is visualized with box plots, shown as median and 25th and 75th percentiles. Points are displayed as outliers if they are above or below 1.5 times the interquartile range. FPKM values of the individual samples are presented next to the box plot.
Average TPM
68.7
Number of samples
486
Samples
Sample
Description
TPM
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
163.9
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
152.0
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
151.7
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
136.6
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
131.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
128.9
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
126.2
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
124.3
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
123.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
122.3
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
118.3
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
117.8
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
117.6
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
117.0
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
116.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
116.5
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
116.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
115.1
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
115.0
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
114.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
114.8
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
114.6
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
113.7
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
113.4
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
113.4
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
112.1
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
111.9
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
110.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
109.6
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
107.7
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
106.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
105.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
104.3
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
104.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
103.7
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
103.6
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
102.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
101.9
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
100.1
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
99.8
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
99.0
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
98.1
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
97.6
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
97.0
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
96.0
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
95.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
95.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
95.1
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
93.0
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
92.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
92.4
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
92.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
91.9
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
91.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
91.1
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
91.0
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
91.0
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
90.9
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
90.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
90.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
90.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
89.8
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
89.8
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
89.8
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
89.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
89.4
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
89.4
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
89.4
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
89.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
88.9
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
88.9
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
88.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
88.6
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
88.6
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
88.4
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
88.3
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
87.4
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
87.0
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
86.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
86.5
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
86.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
86.4
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
86.1
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
86.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
86.0
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
85.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
85.7
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
85.4
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
85.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
84.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
84.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
83.7
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
83.6
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
83.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
83.0
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
82.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
82.8
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
82.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
82.4
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
82.3
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
82.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
82.1
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
81.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
81.7
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
81.7
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
81.5
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
81.4
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
81.3
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
81.0
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
80.9
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
80.8
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
80.5
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
80.2
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
80.1
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
80.0
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
79.6
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
79.6
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
79.4
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
79.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
79.4
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
79.2
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
79.2
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
79.1
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
79.0
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
78.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
78.6
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
78.5
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
78.4
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
78.3
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
78.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
78.3
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
78.2
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
77.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
77.7
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
77.6
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
77.4
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
77.4
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
77.3
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
77.3
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
77.2
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
77.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
76.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
76.7
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
76.4
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
76.4
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
76.0
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
75.8
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
75.8
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
75.6
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
75.6
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
75.3
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
75.2
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
75.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
75.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
74.5
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
74.5
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
74.4
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
74.3
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
74.1
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
74.0
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
73.7
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
73.6
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
73.5
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
73.2
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
73.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
73.1
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
73.1
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
72.9
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
72.8
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
72.7
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
72.6
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
72.3
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
72.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
72.3
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
72.1
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
72.1
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
72.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
71.9
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
71.7
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
71.7
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
71.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
71.5
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
71.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
71.4
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
71.3
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
71.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
71.2
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
71.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
71.1
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
71.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
70.9
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
70.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
70.8
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
70.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
70.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
70.4
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
70.4
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
70.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
70.2
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
70.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
70.0
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
69.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
69.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
69.5
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
69.4
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
69.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
69.3
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
69.3
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
69.2
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
69.2
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
69.1
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
68.8
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
68.6
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
68.4
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
68.3
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
68.3
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
68.3
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
68.1
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
68.1
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
67.9
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
67.9
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
67.8
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
67.6
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
67.5
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
67.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.4
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
67.3
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
67.2
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
67.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
67.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
67.0
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
66.9
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
66.9
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
66.7
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
66.6
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
66.5
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
66.3
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
66.2
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
66.2
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
66.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
66.0
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
65.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
65.8
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
65.7
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
65.7
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
65.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
65.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
65.5
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
65.4
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
65.4
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
64.9
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
64.8
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
64.8
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
64.8
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
64.8
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
64.8
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
64.6
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
64.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
64.6
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
64.5
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
64.5
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
64.5
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
64.5
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
64.4
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
64.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
64.2
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
64.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
64.1
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
64.1
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
64.0
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
63.9
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
63.8
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
63.6
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
63.6
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
63.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
63.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
63.6
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
63.5
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
63.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
63.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
63.2
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
63.1
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
63.1
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
63.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
63.0
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
62.9
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
62.8
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
62.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
62.7
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
62.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
62.6
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
62.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
62.6
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
62.6
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
62.5
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
62.4
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
62.0
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
62.0
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
61.9
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
61.7
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
61.6
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
61.5
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
61.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
61.3
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
61.3
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
61.1
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
61.0
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
61.0
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
60.9
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
60.7
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
60.7
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
60.6
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
60.6
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
60.4
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
60.4
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
60.4
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
60.4
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
59.8
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
59.7
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
59.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
59.2
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
59.1
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
58.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
58.9
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
58.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
58.7
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
58.7
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
58.4
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
58.2
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
58.1
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
58.0
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
58.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
57.9
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
57.8
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
57.8
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
57.5
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
57.5
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
57.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
57.3
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
57.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
56.9
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
56.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
56.8
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
56.7
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
56.6
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
56.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
56.5
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
56.4
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
56.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
56.3
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
56.2
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
56.2
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
56.2
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
56.0
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
55.6
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
55.6
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
55.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
55.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
55.3
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
55.3
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
55.1
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
55.1
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
55.1
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
54.7
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
54.6
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
54.6
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
54.6
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
54.4
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
54.3
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
54.3
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
54.2
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
53.8
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
53.7
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
53.5
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
53.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
53.4
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
53.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
53.1
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
52.9
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
52.9
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
52.7
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
52.5
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
52.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
52.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
52.1
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
52.1
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
52.0
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
52.0
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
51.9
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
51.9
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
51.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
51.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
51.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
51.5
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
51.4
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
51.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
51.3
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
51.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
51.1
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
51.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
51.0
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
50.9
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
50.9
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
50.8
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
50.7
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
50.6
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
50.5
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
50.3
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
50.3
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
50.3
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
50.2
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
50.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
50.1
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
50.1
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
50.0
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
49.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
49.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
48.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
48.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
48.3
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
48.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
47.9
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
47.8
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
47.7
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
47.7
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
47.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
47.5
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
47.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
47.2
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
47.1
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
46.9
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
46.9
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
46.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
46.8
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
46.3
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
46.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
46.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
46.0
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
45.9
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
45.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
45.6
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
44.8
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
44.7
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
44.6
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
44.6
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
44.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
44.1
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
43.4
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
43.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
42.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
42.8
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
42.8
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
42.7
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
42.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
42.6
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
42.2
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
42.2
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
42.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.0
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
40.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
40.4
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
40.0
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
39.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
39.2
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
39.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
38.8
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
37.3
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
37.1
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
36.9
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
36.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
35.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
35.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
33.6
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
32.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
31.9
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
31.3
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
31.2
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
30.7
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
28.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
28.3
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
22.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.1
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.
PTPRA 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
36.0
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
102.4
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
74.7
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
71.8
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
70.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
69.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
66.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
65.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
65.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
60.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
55.1
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
53.1
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
53.0
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
53.0
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
51.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
51.0
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
50.5
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
50.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
49.5
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
49.4
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
49.3
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
48.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
48.6
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
46.2
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
46.1
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
44.7
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
44.7
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
44.0
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
43.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
43.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
43.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.1
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
43.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
41.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
39.1
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
38.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
37.7
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
36.2
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
35.8
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
35.2
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
35.1
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
34.7
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
34.5
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
34.2
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
34.0
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
33.8
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
33.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
33.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
33.4
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
32.9
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
32.4
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
30.3
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
30.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
29.1
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
28.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
27.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
26.6
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
26.1
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
26.0
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
25.6
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
25.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
24.5
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
24.4
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
24.2
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
23.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
23.7
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
23.5
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
22.3
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
21.9
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
21.1
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
20.1
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
19.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
19.7
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
19.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
19.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
18.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
17.6
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
17.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
17.5
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
17.1
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
16.3
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
16.1
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
15.7
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
14.9
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
14.8
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
14.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
13.7
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
6.6
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
PTPRA 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
63.3
Number of samples
207
Samples
Sample
Description
TPM
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
140.6
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
130.7
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
128.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
124.8
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
122.4
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
120.0
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
114.5
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
114.0
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
111.5
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
108.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
106.4
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
103.9
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
100.2
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
100.1
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
98.5
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
97.6
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
95.9
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
95.7
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
95.7
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
95.5
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
94.8
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
93.7
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
93.7
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
91.8
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
90.2
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
88.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
87.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
86.8
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
85.8
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
85.3
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
84.2
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
83.5
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
79.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
79.8
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
79.6
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
78.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
77.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
75.7
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
75.4
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
75.4
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
75.4
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
73.9
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
73.7
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
73.4
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
73.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
73.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
73.1
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
72.9
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
72.8
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
72.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
72.0
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
72.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
71.3
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
71.3
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
71.1
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
70.9
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
70.6
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
70.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
70.4
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
70.0
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
70.0
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
69.8
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
69.8
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
69.7
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
69.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
69.4
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
68.5
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
68.5
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
68.2
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
68.1
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
67.9
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
67.8
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
67.7
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
66.9
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
66.9
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
66.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
65.9
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
65.7
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
65.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
65.2
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
64.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
64.7
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
64.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
63.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
62.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
62.9
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
62.7
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
62.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
62.3
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
61.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
61.8
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
61.7
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
61.7
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
61.6
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
61.5
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
61.4
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
61.4
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
61.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.2
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
61.1
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
61.1
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
60.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
60.7
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
60.5
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
60.1
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
59.9
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
59.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
59.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
59.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
59.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
59.3
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
59.1
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
58.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
58.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
58.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
58.2
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
58.1
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
57.9
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
57.6
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
57.4
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
57.1
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.0
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
56.4
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
56.3
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
56.1
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
56.1
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
56.0
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
55.9
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
55.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
55.3
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
55.3
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
54.6
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
54.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
54.2
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
53.9
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
53.8
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
53.7
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
53.2
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
53.0
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
52.9
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
52.8
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
52.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
52.7
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
52.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
52.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
51.9
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
51.5
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
51.5
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
51.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
50.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
50.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
50.6
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
50.5
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
50.1
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
50.0
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
49.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
49.2
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
48.8
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
48.7
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
48.6
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
48.2
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
48.1
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
48.1
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
48.0
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
47.7
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
47.3
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
47.0
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
45.9
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
45.4
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
45.0
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
44.5
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
44.5
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
44.4
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
44.1
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
43.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
42.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
42.7
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
42.6
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
42.5
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
41.3
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
41.1
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
40.3
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
40.1
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
39.6
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
39.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
38.9
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
38.3
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
38.1
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
37.5
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
37.4
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
37.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.2
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
37.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
36.9
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
36.8
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
36.2
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
34.3
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
33.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
32.1
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
29.5
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
28.9
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
28.0
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
26.9
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
26.1
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
25.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
13.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.9
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
0.7
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.7
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
0.5
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
0.5
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
0.5
b2400046-1d25-429d-a821-6040a6
Tumor
0.5
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
0.4
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.4
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.4
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.4
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.4
067db520-1b1f-4569-9414-e37a6e_D2
Normal
0.4
3a17283c-a0f4-4514-956b-080d11_D2
Normal
0.4
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.3
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.3
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.3
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
0.3
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.3
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.3
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
0.3
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
0.3
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.3
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Normal
0.3
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.3
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.3
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.3
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Normal
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.2
b3696374-c6c0-49dd-833e-596e26_D2
Normal
0.2
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
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Tumor
0.2
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.2
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Normal
0.2
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.2
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
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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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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Tumor
0.1
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Tumor
0.1
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Tumor
0.1
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Normal
0.1
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Tumor
0.1
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Normal
0.1
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Normal
0.1
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Normal
0.1
2cc46aec-6142-4fb9-aca5-c442b9_D2
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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Tumor
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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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
0.0
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Normal
0.0
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Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
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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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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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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Tumor
0.0
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Normal
0.0
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Normal
0.0
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
0.0
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Tumor
-0.1
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
-0.1
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Normal
-0.1
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.1
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
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Tumor
-0.1
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Tumor
-0.1
0065bfd9-e1b9-43a8-9379-9658ba_D3
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
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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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Normal
-0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.1
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.1
092c5a37-325b-4181-b230-2d8fff_D2
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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Tumor
-0.1
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Tumor
-0.1
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Tumor
-0.1
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Normal
-0.1
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Tumor
-0.1
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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
-0.2
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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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Tumor
-0.2
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Normal
-0.2
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Normal
-0.2
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.2
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.2
23e938d0-92b8-4aea-90c1-4385df_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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Tumor
-0.2
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.2
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Normal
-0.2
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.2
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-0.2
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Normal
-0.2
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Tumor
-0.2
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Tumor
-0.2
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Tumor
-0.3
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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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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Tumor
-0.3
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Normal
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.4
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Tumor
-0.5
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.5
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.5
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Tumor
-0.8
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.8
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
