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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.
SRPRA 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
65.8
Number of samples
254
Samples
Sample
Description
TPM
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
129.3
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
128.3
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
119.4
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
119.1
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
112.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
109.7
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
108.3
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
105.7
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
102.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
97.5
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
96.4
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
96.0
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
95.4
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
94.6
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
92.6
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
92.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
92.2
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
92.2
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
92.1
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
91.9
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
91.9
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
90.8
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
90.7
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
88.8
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
88.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
87.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
87.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
86.4
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
86.1
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
85.6
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
85.5
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
85.5
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
84.7
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
84.5
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
84.3
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
84.0
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
83.9
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
83.7
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
83.4
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
83.4
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
82.9
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
81.9
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
81.7
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
81.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
81.4
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
81.4
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
81.1
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
80.8
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
80.8
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
80.8
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
80.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
80.5
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
80.1
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
79.7
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
79.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
78.5
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
78.3
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
78.1
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
78.1
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
77.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
77.8
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
77.6
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
77.6
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
77.5
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
77.4
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
77.0
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
76.7
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
76.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
76.5
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
76.5
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
76.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
75.7
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
75.4
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
75.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
75.3
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
75.2
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
75.2
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
75.1
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
74.5
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
74.2
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
74.0
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
73.9
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
73.8
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
73.4
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
73.3
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
73.3
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
73.2
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
73.0
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
72.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
72.5
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
72.5
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
72.5
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
72.4
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
72.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
72.3
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
72.1
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
71.8
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
71.5
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
71.4
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
71.4
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
70.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
70.6
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
70.5
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
70.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
70.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
70.2
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
69.8
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
69.6
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
69.4
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
69.4
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
69.0
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
68.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
68.4
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
68.2
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
68.2
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
67.7
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
67.6
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
67.5
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
67.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
66.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
66.3
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
66.1
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
66.0
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
65.5
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
65.4
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
65.3
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
65.0
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
64.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
64.9
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
64.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
64.6
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
64.6
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
64.0
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
63.9
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
63.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
63.5
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
62.9
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
62.1
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
62.0
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
61.8
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
61.8
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
61.6
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
61.4
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
61.2
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
61.1
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
61.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
60.9
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
60.6
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
60.5
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
60.4
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
60.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
59.9
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
59.8
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
59.7
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
59.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
59.3
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
59.1
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
58.9
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
58.9
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
58.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
58.5
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
58.4
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
58.3
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
58.2
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
57.5
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
57.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
57.4
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
57.4
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
57.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
56.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
56.5
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
56.4
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
56.3
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
56.2
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
56.2
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
56.1
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
55.9
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
55.9
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
55.9
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
55.7
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
55.5
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
55.1
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
55.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
54.6
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
54.5
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
54.3
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
53.6
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
53.2
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
53.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
52.9
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
52.7
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
52.5
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
52.4
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
52.4
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
52.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
51.9
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
51.9
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
51.6
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
51.2
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
51.1
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
50.9
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
50.7
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
50.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
49.8
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
49.6
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
49.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
49.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
49.0
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
48.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
48.7
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
48.6
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
47.5
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
47.3
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
46.6
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
46.5
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
46.5
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
46.1
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
45.4
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
44.7
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
44.6
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
44.4
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
44.2
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
44.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
43.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
43.6
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
43.5
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
43.1
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
43.1
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
42.6
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
42.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
41.5
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
41.3
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
41.2
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
40.1
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
39.7
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
39.7
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
38.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
38.4
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
38.2
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
38.2
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
37.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
37.1
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
36.7
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
36.6
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
36.2
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
35.6
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
34.8
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
34.8
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
34.6
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
34.6
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
33.3
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
32.7
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
30.4
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 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.
SRPRA 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
85.8
Number of samples
486
Samples
Sample
Description
TPM
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
162.9
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
160.8
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
150.7
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
149.9
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
147.2
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
146.1
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
133.5
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
133.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
133.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
132.8
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
130.1
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
129.0
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
128.3
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
127.9
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
127.6
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
127.0
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
126.9
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
126.3
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
125.8
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
124.6
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
123.9
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
123.5
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
122.4
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
121.7
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
121.5
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
121.4
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
120.6
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
119.6
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
119.3
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
118.3
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
118.2
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
118.1
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
117.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
116.6
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
116.1
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
115.4
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
114.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
114.1
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
113.8
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
113.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
113.4
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
113.3
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
113.1
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
112.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
112.8
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
112.2
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
112.2
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
112.1
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
112.1
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
112.0
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
111.0
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
110.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
110.5
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
110.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
110.1
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
110.0
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
109.0
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
108.7
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
108.6
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
108.3
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
107.8
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
107.8
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
107.6
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
107.5
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
107.4
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
106.9
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
106.7
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
106.5
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
106.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
106.4
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
106.2
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
106.0
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
105.2
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
105.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
105.0
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
104.9
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
104.7
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
104.6
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
104.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
104.5
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
104.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
104.3
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
104.2
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
104.1
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
103.9
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
103.3
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
103.1
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
103.1
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
102.8
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
102.7
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
102.1
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
101.9
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
101.7
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
101.7
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
101.6
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
101.2
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
101.2
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
101.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
100.9
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
100.8
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
100.7
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
100.7
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
100.5
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
100.4
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
100.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
100.3
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
100.2
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
100.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
99.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
99.8
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
99.7
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
99.5
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
99.4
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
99.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
99.2
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
98.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
98.8
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
98.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
98.7
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
98.6
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
98.5
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
98.5
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
98.5
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
98.3
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
98.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
97.9
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
97.9
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
97.6
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
97.4
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
97.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
97.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
97.0
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
96.6
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
96.3
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
96.3
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
96.2
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
96.1
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
96.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
95.8
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
95.7
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
95.6
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
95.6
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
95.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
95.5
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
95.0
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
94.8
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
94.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
94.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
94.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
94.5
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
94.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
94.4
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
94.3
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
94.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
94.3
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
93.9
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
93.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
93.9
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
93.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
93.5
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
93.3
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
93.2
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
93.2
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
93.1
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
93.0
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
93.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
92.9
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
92.9
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
92.8
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
92.5
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
92.5
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
92.4
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
92.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
92.2
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
92.2
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
92.0
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
92.0
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
91.9
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
91.9
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
91.8
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
91.7
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
91.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
91.3
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
91.1
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
91.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
91.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
91.0
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
90.7
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
90.5
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
90.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
90.1
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
89.3
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
89.3
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
89.3
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
89.0
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
89.0
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
89.0
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
88.9
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
88.7
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
88.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
88.6
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
88.3
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
88.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
88.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
88.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
88.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
88.0
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
88.0
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
87.9
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
87.8
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
87.4
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
87.2
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
87.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
87.0
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
86.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
86.7
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
86.7
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
86.6
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
86.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
86.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
86.4
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
86.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
86.3
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
86.0
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
85.7
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
85.6
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
85.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
85.6
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
85.5
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
85.4
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
85.3
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
85.2
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
85.1
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
84.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
84.8
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
84.8
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
84.6
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
84.6
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
84.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
84.3
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
84.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
84.1
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
84.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
83.8
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
83.5
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
83.4
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
83.4
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
83.4
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
83.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
83.2
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
83.0
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
82.9
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
82.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
82.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
82.7
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
82.7
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
82.7
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
82.5
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
82.4
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
82.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
82.2
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
82.1
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
82.1
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
81.9
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
81.8
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
81.7
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
81.6
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
81.6
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
81.5
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
81.5
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
81.4
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
81.4
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
81.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
81.2
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
81.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
81.1
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
81.0
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
80.9
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
80.9
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
80.9
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
80.7
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
80.7
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
80.3
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
80.1
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
80.0
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
79.9
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
79.9
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
79.8
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
79.8
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
79.5
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
79.4
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
79.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
79.2
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
78.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
78.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
78.7
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
78.7
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
78.6
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
78.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
78.5
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
78.4
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
78.2
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
78.2
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
78.2
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
78.1
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
78.1
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
78.0
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
78.0
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
77.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
77.7
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
77.4
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
77.4
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
77.3
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
77.2
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
77.2
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
77.2
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
77.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
77.1
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
77.0
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
77.0
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
76.5
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
76.4
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
76.3
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
76.2
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
75.8
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
75.5
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
75.5
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
75.3
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
75.3
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
75.3
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
75.3
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
75.2
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
75.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
74.9
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
74.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
74.8
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
74.7
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
74.6
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
74.6
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
74.4
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
74.2
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
74.0
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
73.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
73.9
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
73.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
73.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
73.8
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
73.6
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
73.5
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
73.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
73.4
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
73.3
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
73.3
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
73.3
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
73.2
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
73.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
73.0
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
72.8
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
72.7
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
72.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
72.5
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
72.5
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
72.5
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
72.4
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
72.4
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
72.3
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
72.0
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
72.0
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
71.8
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
71.7
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
71.6
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
71.5
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
71.5
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
71.4
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
71.3
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
71.2
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
71.1
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
70.8
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
70.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
70.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
70.6
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
70.4
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
70.4
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
70.0
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
69.9
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
69.9
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
69.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
69.8
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
69.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
69.5
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
69.5
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
69.5
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
69.4
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
69.3
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
69.2
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
69.0
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
68.9
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
68.8
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
68.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
68.8
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
68.5
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
68.5
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
68.2
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
68.2
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
68.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
68.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
68.2
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
68.1
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
68.0
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
67.9
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
67.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
67.4
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
67.4
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
67.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
67.0
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
67.0
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
66.9
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
66.9
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
66.8
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
66.6
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
66.2
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
66.1
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
66.1
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
65.8
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
65.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
65.6
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
65.6
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
65.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
65.4
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
65.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
64.8
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
64.6
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
64.6
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
64.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
64.2
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
64.1
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
63.6
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
63.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
63.1
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
62.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
62.9
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
62.5
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
62.3
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
62.1
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
62.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
61.8
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
61.3
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
61.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
60.8
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
60.8
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
60.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
59.9
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
59.8
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
59.8
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
59.5
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
59.3
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
59.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
58.1
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
58.0
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
57.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
57.8
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
57.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
57.1
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
55.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
55.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
55.2
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
54.9
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
54.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
54.0
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.5
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
51.7
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
50.7
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
50.4
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
49.6
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
49.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
47.5
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
46.0
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
45.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
44.2
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
43.7
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
43.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
41.7
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
36.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
31.7
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
3.1
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.
SRPRA 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
65.2
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
118.3
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
111.8
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
105.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
101.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
100.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
100.4
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
100.2
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
95.3
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
92.5
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
92.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
89.1
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
87.8
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
85.0
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
84.2
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
82.8
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
82.4
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
82.2
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
82.2
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
80.3
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
80.2
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
79.8
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
78.8
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
78.3
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
77.5
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
76.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
74.8
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
74.1
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
74.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
73.1
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
73.0
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
71.5
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
70.7
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
69.8
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
69.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
69.4
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
68.9
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
68.1
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
68.1
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
66.4
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
66.4
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
65.5
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
65.4
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
65.1
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
65.0
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.8
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
64.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
64.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
64.2
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
63.8
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
63.7
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
63.2
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
62.1
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
59.8
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
59.6
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
57.8
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
57.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
56.7
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
55.9
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
55.9
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
55.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
55.4
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
55.2
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
55.2
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
54.4
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
54.4
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
54.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
51.9
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
50.9
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
50.8
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
50.1
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
49.2
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
49.1
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
47.0
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
46.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
46.5
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
44.1
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
43.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
43.3
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
42.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
41.1
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
41.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
36.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
33.1
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
30.6
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
28.1
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
28.0
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
18.6
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.
SRPRA 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
82.4
Number of samples
207
Samples
Sample
Description
TPM
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
130.5
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
127.6
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
125.2
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
124.3
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
122.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
122.0
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
121.6
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
121.0
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
120.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
119.8
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
117.2
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
117.0
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
116.3
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
115.5
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
113.0
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
112.6
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
112.3
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
112.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
112.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
111.9
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
109.9
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
109.4
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
108.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
107.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
107.8
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
107.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
107.0
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
105.6
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
104.7
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
104.5
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
104.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
104.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
102.9
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
102.7
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
102.0
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
101.5
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
100.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
100.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
99.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
99.0
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
98.9
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
98.5
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
97.8
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
96.3
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
95.9
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
95.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
95.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
95.5
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
95.4
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
94.3
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
94.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
93.6
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
93.6
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
93.5
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
93.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
93.5
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
93.3
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
92.6
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
92.6
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
92.6
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
92.6
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
92.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
92.3
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
91.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
91.5
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
91.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
91.2
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
91.1
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
90.7
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
90.6
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
90.4
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
90.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
89.7
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
89.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
88.9
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
88.0
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
87.8
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
87.8
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
87.7
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
87.7
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
87.5
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
87.1
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
87.0
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
86.8
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
86.5
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
86.2
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
86.1
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
86.1
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
86.0
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
85.8
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
85.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
85.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
84.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
84.6
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
84.3
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
84.1
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
83.9
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
83.7
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
83.7
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
82.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
82.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
82.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
82.5
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
82.4
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
82.1
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
82.1
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
81.9
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
81.7
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
81.4
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
81.3
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
81.3
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
81.1
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
80.7
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
80.3
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
79.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
79.3
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
78.4
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
78.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
78.1
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
78.1
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
77.7
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
77.4
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
77.4
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
77.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
77.2
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
77.0
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
76.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
75.8
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
75.7
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
74.5
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
74.4
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
74.3
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
73.9
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
73.8
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
73.6
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
73.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
73.3
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
73.2
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
73.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
72.9
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
72.1
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
72.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
71.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
71.6
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
71.5
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
71.3
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
71.1
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
71.0
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
70.9
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
70.6
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
70.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
70.4
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
70.0
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
69.7
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
69.5
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
68.9
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
68.4
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
68.2
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
68.1
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
67.8
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
67.1
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
67.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.8
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
66.7
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
66.0
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
65.6
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
65.6
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
65.3
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
65.2
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
65.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
65.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
64.9
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
64.3
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
64.0
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
63.6
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
63.0
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
62.4
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
62.3
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
61.7
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
61.6
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
61.2
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
59.3
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
58.6
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
57.6
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
57.1
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
57.0
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
56.8
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
56.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
56.0
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
55.6
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
55.5
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
54.9
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
54.5
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
54.0
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
53.8
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
53.8
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
53.6
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
52.3
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
52.1
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
51.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
49.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
47.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
47.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
44.0
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
43.2
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
37.4
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
4.4
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
0.8
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
0.7
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
0.7
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
0.6
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
0.6
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
0.6
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
0.5
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
0.5
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
0.5
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
0.5
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.5
3d797911-d476-436f-9cce-33e20c_D8
Tumor
0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
0.4
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
0.4
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.4
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
0.4
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
0.4
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
0.4
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.4
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
0.4
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
0.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
0.4
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
0.3
b2400046-1d25-429d-a821-6040a6
Tumor
0.3
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Tumor
0.3
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
0.3
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.3
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
0.3
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
0.3
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Tumor
0.3
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
0.3
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.3
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
0.3
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
8cc7e656-0152-4359-8566-0581c3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.2
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Tumor
0.2
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Tumor
0.2
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Tumor
0.2
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.2
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Tumor
0.1
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
0.1
348f6009-e1be-44d2-a093-9ca844_D2
Normal
0.1
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
0.1
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
0.1
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Tumor
0.1
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
0.1
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Tumor
0.1
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Tumor
0.1
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
0.1
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.1
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
0.1
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
0.1
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
0.1
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Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
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Tumor
0.1
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.1
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
0.0
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.0
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.0
4b263734-430f-41dc-a296-8691f0_D3
Tumor
0.0
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
0.0
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
0.0
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.0
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
0.0
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
0.0
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.0
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
0.0
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
0.0
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
0.0
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
0.0
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.0
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
-0.1
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
-0.1
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
-0.1
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-0.1
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Normal
-0.1
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
-0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
-0.1
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.1
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-0.1
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
-0.1
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.1
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.1
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.1
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.1
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
-0.1
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
-0.1
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
-0.1
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.1
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
-0.1
0d5554d1-1653-4589-a44f-43113e_D2
Normal
-0.1
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.1
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
-0.1
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
-0.1
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.1
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
-0.2
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
-0.2
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.2
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
-0.2
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.2
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
-0.2
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
-0.2
e070ff10-058b-4733-93ab-bdd702_D2
Normal
-0.2
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
-0.2
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.2
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.2
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
-0.2
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
-0.2
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
-0.2
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
-0.2
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
-0.2
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.2
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
-0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
-0.2
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
-0.2
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
-0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
-0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
-0.3
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
-0.3
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
-0.3
41a04113-2061-4923-bca5-da586c_D2
Normal
-0.3
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.3
bda3787a-1397-4716-bb17-4992a8_D2
Normal
-0.3
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
-0.3
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
-0.3
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
-0.3
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
-0.3
067db520-1b1f-4569-9414-e37a6e_D2
Normal
-0.3
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
-0.3
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
-0.3
974e136f-7020-4a38-b9c1-094df9_D2
Normal
-0.3
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
-0.3
411d9597-c785-4de5-b449-29a80d_D2
Normal
-0.3
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
-0.3
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
-0.3
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
-0.3
82157a70-12f1-4913-b548-d98881_D2
Normal
-0.3
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
-0.3
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
-0.3
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
-0.3
c307b7b0-534a-45fa-a420-35f773_D2
Normal
-0.3
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
-0.3
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
-0.4
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
-0.4
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
-0.4
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
-0.4
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
-0.4
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
-0.4
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.4
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
-0.4
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
-0.4
47d2a435-b203-4438-ae72-53c424_D2
Normal
-0.4
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
-0.4
da747cee-5026-4923-af63-ad9f81_D2
Normal
-0.4
b3696374-c6c0-49dd-833e-596e26_D2
Normal
-0.4
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
-0.4
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
-0.4
359f5c81-2575-497e-8630-e4866f_D2
Normal
-0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
-0.4
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
-0.4
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
-0.5
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.5
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
-0.5
1c070992-647b-4173-a481-904c4d_D2
Normal
-0.5
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
-0.5
16ac8458-5200-4302-9ad0-b311df_D2
Normal
-0.5
a243b765-61ab-4aa6-88e1-226896_D2
Normal
-0.6
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.6
2666323d-522f-4f0a-823c-ff8866_D2
Normal
-0.6
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
-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.
The Human Protein Atlas project is funded
