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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.
SRGN 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
54.4
Number of samples
254
Samples
Sample
Description
TPM
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
549.8
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
466.3
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
363.6
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
314.1
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
275.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
233.7
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
210.0
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
208.2
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
207.3
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
185.5
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
177.2
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
164.3
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
149.2
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
148.4
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
137.8
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
137.1
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
135.3
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
134.5
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
133.8
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
129.5
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
129.0
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
124.9
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
122.5
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
121.2
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
116.6
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
116.0
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
115.1
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
104.3
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
103.0
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
100.4
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
98.1
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
97.9
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
97.4
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
95.7
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
95.0
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
94.7
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
93.2
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
91.1
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
90.5
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
89.6
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
87.6
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
87.5
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
87.1
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
86.5
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
85.7
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
84.5
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
84.1
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
84.0
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
83.6
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
82.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
80.5
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
78.8
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
78.1
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
77.0
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
76.5
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
75.1
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
74.8
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
73.6
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
72.2
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
71.6
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
71.3
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
69.8
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
69.5
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
69.1
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
67.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
66.0
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
64.6
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
64.0
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
63.4
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
60.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
59.6
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
59.1
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
59.0
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
58.5
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
58.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
58.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
56.6
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
56.3
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
55.9
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
55.6
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
55.5
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
55.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
55.1
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
54.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
54.1
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
53.8
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
53.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
53.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
52.6
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
51.8
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
51.4
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
50.0
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
49.3
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
49.0
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
49.0
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
48.0
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
47.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
47.4
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
47.1
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
46.9
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
46.7
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
45.8
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
45.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
45.2
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
44.3
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
44.3
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
43.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
43.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
42.8
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
42.6
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
42.5
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
42.3
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
42.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
41.6
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
41.5
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
41.5
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
41.4
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
40.8
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
40.1
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
39.3
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
38.8
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
38.5
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
38.4
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
37.8
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
36.0
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
36.0
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
35.9
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
35.4
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
34.5
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
33.9
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
33.4
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
33.2
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
33.2
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
32.9
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
32.2
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
32.2
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
31.5
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
30.9
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
30.8
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
30.3
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
30.0
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
29.7
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
29.7
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
29.5
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
29.2
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
29.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
28.4
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
28.3
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
28.2
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
28.1
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
27.7
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
27.2
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
27.1
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
27.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
26.9
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
26.8
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
26.8
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
26.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
26.4
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
26.1
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
25.6
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
25.3
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
25.2
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
24.1
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
23.9
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
23.4
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
22.9
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
22.7
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
22.6
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
22.5
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
22.1
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
21.7
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
21.3
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
21.2
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
21.1
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
20.9
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
20.7
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
20.6
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.5
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
20.3
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
20.1
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
19.9
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
19.5
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
19.2
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
19.0
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
18.5
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
18.1
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
16.8
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
16.7
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
16.4
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
16.3
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
16.2
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
16.1
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
16.0
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
15.9
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
14.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
14.1
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
14.0
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
13.9
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
13.9
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
13.8
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
13.8
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
12.8
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
12.7
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
12.5
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.9
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
11.9
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
11.8
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
11.5
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
11.2
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
11.2
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
11.1
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
11.0
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
10.7
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
10.7
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
10.7
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
10.6
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
10.5
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
10.2
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
9.9
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
9.3
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
9.2
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
9.2
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
8.8
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
8.6
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
8.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
8.4
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
8.2
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
8.0
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
7.9
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.6
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
7.4
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
7.0
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
6.9
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
6.7
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
6.5
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
5.9
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
5.9
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
5.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
5.3
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
5.0
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
4.8
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 days
4.1
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
4.0
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.0
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
4.0
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
3.9
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
3.4
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.4
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
3.1
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 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.
SRGN 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
91.1
Number of samples
486
Samples
Sample
Description
TPM
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
560.4
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
494.9
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
457.7
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
383.9
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
346.9
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
298.1
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
288.1
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
285.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
282.4
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
281.1
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
280.3
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
268.1
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
265.0
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
258.4
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
256.9
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
254.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
251.3
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
244.7
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
243.1
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
236.9
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
230.6
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
228.9
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
227.2
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
225.8
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
224.6
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
221.8
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
220.4
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
212.0
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
211.8
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
208.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
198.9
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
197.8
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
196.4
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
193.3
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
193.0
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
192.3
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
191.6
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
187.8
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
187.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
184.4
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
183.8
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
183.5
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
182.2
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
180.7
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
179.8
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
178.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
174.3
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
174.0
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
173.8
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
170.9
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
168.9
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
165.5
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
164.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
163.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
163.5
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
162.9
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
159.2
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
159.1
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
158.5
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
158.3
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
158.3
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
157.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
154.5
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
153.8
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
153.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
153.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
151.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
151.7
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
151.7
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
151.0
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
151.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
148.6
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
146.6
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
145.5
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
145.4
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
145.4
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
145.3
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
145.2
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
144.9
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
144.5
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
143.7
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
142.5
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
141.9
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
141.8
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
141.0
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
140.6
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
139.0
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
138.5
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
137.4
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
136.0
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
134.7
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
134.6
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
133.4
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
133.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
133.3
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
131.7
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
131.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
130.4
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
130.3
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
130.1
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
129.2
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
128.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
127.1
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
127.0
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
126.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
126.8
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
126.3
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
125.7
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
125.2
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
124.7
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
124.5
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
123.8
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
123.6
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
123.6
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
123.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
122.5
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
121.9
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
121.8
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
121.7
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
120.7
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
120.4
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
120.2
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
119.8
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
119.5
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
119.2
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
119.0
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
118.7
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
118.6
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
117.5
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
117.4
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
117.1
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
117.0
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
116.1
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
115.9
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
115.6
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
115.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
114.9
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
114.2
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
113.8
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
112.2
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
111.9
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
111.6
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
111.3
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
111.2
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
111.2
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
110.8
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
110.3
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
109.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
109.5
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
109.4
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
109.3
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
107.5
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
107.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
106.9
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
106.4
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
106.3
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
104.9
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
104.7
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
104.0
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
103.8
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
103.5
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
102.5
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
101.7
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
101.5
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
101.5
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
99.8
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
99.4
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
98.8
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
97.9
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
97.8
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
96.8
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
96.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
96.1
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
96.1
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
96.0
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
95.2
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
95.2
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
95.1
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
94.8
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
94.8
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
94.6
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
94.6
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
94.0
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
93.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
93.2
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
92.3
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
92.0
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
91.0
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
90.5
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
90.0
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
89.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
89.4
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
89.3
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
89.2
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
88.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
87.3
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
86.9
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
85.2
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
84.0
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
83.1
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
83.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
83.0
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
82.9
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
82.8
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
82.5
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
81.5
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
81.5
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
80.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
80.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
80.2
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
80.1
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
79.7
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
79.7
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
79.7
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
78.9
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
78.8
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
78.1
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
78.1
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
77.9
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
77.6
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
77.2
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
76.7
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
76.5
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
76.3
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
75.9
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
75.2
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
75.1
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
75.0
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
74.2
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
74.0
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
73.9
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
73.4
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
73.4
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
73.3
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
73.2
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
72.7
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
72.7
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
72.5
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
72.3
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
71.9
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
71.5
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
71.5
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
71.4
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
71.4
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
71.3
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
71.3
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
70.9
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
70.5
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
70.2
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
69.9
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
69.6
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
68.9
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
68.7
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
68.6
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
68.4
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
68.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
67.8
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
67.4
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
67.4
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
67.2
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
67.1
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
66.9
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
66.6
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
66.5
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
66.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
66.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
66.2
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
65.9
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
65.6
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
65.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
65.2
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
65.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
64.3
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
64.3
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
64.1
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
64.1
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
64.0
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
63.2
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
63.1
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
62.3
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
62.2
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
62.0
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
61.7
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
60.9
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
60.7
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
60.3
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
60.1
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
59.7
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
59.7
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
59.5
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
59.4
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
59.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
59.3
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
59.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
58.6
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
58.6
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
58.5
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
58.5
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
58.0
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
58.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
57.8
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
57.8
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
57.6
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
56.8
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
56.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
56.0
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
55.4
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
55.0
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
54.8
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
54.8
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
53.7
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
53.7
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
53.4
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
53.3
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
52.9
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
52.8
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
52.4
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
52.3
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
52.2
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
52.0
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
51.9
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
51.9
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
51.8
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
51.7
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
51.4
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
51.3
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
50.5
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
50.4
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
50.2
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
50.0
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
50.0
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
50.0
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
49.8
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
49.8
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
49.3
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
49.2
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
49.1
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
49.0
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
48.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
48.7
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
48.7
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
48.5
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
48.3
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
48.0
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
48.0
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
47.7
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
47.6
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
47.5
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
47.2
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
46.9
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
46.8
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
46.8
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
46.7
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
46.5
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
46.3
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
46.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
45.8
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
45.7
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
45.4
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
44.9
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
44.8
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
44.5
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
44.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
44.3
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
44.2
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
44.0
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
43.7
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
43.6
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
43.5
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
43.4
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
43.0
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
42.9
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
42.7
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
42.6
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
42.1
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
42.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
42.0
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
41.9
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
41.9
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
41.6
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
41.4
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
41.3
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
41.0
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
40.9
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
40.8
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
40.3
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
39.8
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
39.6
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
39.3
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
39.0
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
38.8
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
38.7
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
38.7
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
38.5
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
38.5
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
38.3
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
38.2
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
38.2
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
38.0
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
37.9
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
37.8
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
37.2
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
37.1
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
36.7
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
36.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
36.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
36.1
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
36.0
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
35.8
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
35.7
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
35.7
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
35.6
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.5
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
34.8
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
34.8
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
34.4
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
34.1
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
34.0
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
33.9
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
33.7
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
33.2
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
33.0
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
32.8
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
32.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
32.7
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
32.5
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
32.0
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.9
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
31.7
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
31.6
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
31.5
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
31.5
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
31.4
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
31.2
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
31.1
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
31.1
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
31.1
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
31.0
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
30.9
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.6
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
29.9
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
29.9
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
29.8
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
29.7
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
29.5
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
29.5
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
28.9
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
28.9
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
28.6
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
28.4
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
28.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
27.9
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
27.7
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
27.6
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
27.5
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
26.1
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
26.0
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
25.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
25.5
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
25.3
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
25.1
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
23.9
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
23.8
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
23.7
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
23.7
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
23.6
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
23.2
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
22.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
22.3
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
22.0
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
20.9
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
20.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
19.4
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
19.2
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
18.6
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
17.4
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
17.2
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
17.0
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
16.5
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
15.6
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
14.2
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
11.9
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
11.2
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
4.6
U1384
0 years, male, NA, stage:T4N1M0, alive, 1319 days
2.7
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.
SRGN 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
47.1
Number of samples
88
Samples
Sample
Description
TPM
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
204.7
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
189.4
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
188.7
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
129.6
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
126.0
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
121.7
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
114.3
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
111.5
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
96.5
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
96.2
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
93.0
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
89.3
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
88.2
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
79.1
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
77.5
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
74.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
71.8
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
68.9
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
66.4
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
65.9
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
64.5
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
61.6
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
61.4
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
59.3
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
57.3
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
55.2
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
51.3
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
50.8
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
50.3
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
50.0
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
48.5
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
46.9
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
46.1
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
45.2
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
43.8
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
43.7
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
41.6
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
39.5
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
39.2
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
38.7
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
38.1
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
38.0
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
37.4
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
36.5
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
36.2
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
36.0
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
34.2
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
33.7
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
31.1
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
30.7
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
30.0
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
29.0
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
28.9
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
28.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
28.3
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
27.5
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
27.2
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
26.2
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
25.5
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
23.4
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
22.0
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
21.1
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
21.0
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
19.6
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
19.4
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
18.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
18.8
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
18.7
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
17.5
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
17.5
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
16.4
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
16.3
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
15.7
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
15.7
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
14.7
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
14.6
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
14.5
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.4
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
10.9
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
10.9
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
6.5
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
6.4
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
6.0
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.7
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
4.8
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
4.3
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
3.9
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 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.
SRGN 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
76.1
Number of samples
207
Samples
Sample
Description
TPM
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
749.1
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
369.4
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
273.8
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
264.5
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
223.2
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
214.6
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
213.8
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
209.8
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
209.2
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
206.3
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
206.2
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
182.7
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
182.5
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
169.6
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
160.3
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
159.5
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
157.1
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
156.7
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
152.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
150.5
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
148.9
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
140.0
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
138.6
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
135.8
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
135.1
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
133.7
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
133.6
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
130.6
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
126.2
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
125.8
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
123.1
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
123.1
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
120.7
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
118.9
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
118.3
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
118.0
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
116.4
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
115.6
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
113.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
110.5
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
109.9
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
108.9
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
106.8
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
95.7
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
93.6
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
93.5
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
93.4
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
93.2
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
90.8
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
90.6
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
90.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
89.6
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
89.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
88.6
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
88.2
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
87.8
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
86.7
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
85.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
84.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
83.0
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
82.1
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
82.0
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
80.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
79.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
78.2
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
76.3
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
75.9
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
75.4
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
75.1
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
75.0
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
74.7
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
74.4
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
73.8
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
73.6
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
73.6
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
73.3
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
71.4
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
69.8
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
69.8
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
69.6
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
68.2
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
67.1
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
66.6
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
66.3
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
65.7
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
64.8
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
63.5
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
63.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
62.9
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
62.7
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
62.4
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
62.2
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
61.3
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
61.1
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
60.8
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
60.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
60.6
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
60.1
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
59.5
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
58.9
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
58.9
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
58.5
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
58.3
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
57.1
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
56.4
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
55.0
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
54.4
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
54.0
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
53.9
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
53.9
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
53.7
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
53.3
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
52.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
52.2
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
52.1
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
52.1
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
52.0
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.6
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
50.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
50.2
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
50.0
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
48.2
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
47.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
47.7
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
47.7
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
47.5
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
47.3
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
46.8
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
45.9
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
45.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
45.3
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
45.2
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
45.0
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
44.8
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
44.6
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
44.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
44.5
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
44.4
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
44.4
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
44.0
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
43.9
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
43.2
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
43.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
42.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
42.8
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
41.9
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
40.7
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
40.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
39.9
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
39.5
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
39.1
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
38.8
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
38.6
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
38.3
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
37.7
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
37.4
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
37.3
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
37.2
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
36.7
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
36.3
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
35.8
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
35.4
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
35.2
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
34.6
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
34.6
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
34.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
33.6
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
33.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
33.1
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
33.0
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
32.9
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
32.7
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
32.2
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
32.2
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
32.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
31.9
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
31.0
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
30.1
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
29.9
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
29.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
29.2
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
28.6
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
27.9
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
27.8
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
26.8
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
26.2
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
25.9
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
24.1
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
23.7
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
22.6
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
22.5
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
21.7
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
20.7
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
20.7
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
20.6
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
19.5
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
19.4
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
17.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
16.7
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
16.3
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
16.3
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
15.9
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
14.8
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
14.1
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
12.6
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
10.7
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
6.6
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
8cc7e656-0152-4359-8566-0581c3
Tumor
N/A
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
N/A
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
N/A
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
N/A
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
N/A
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
N/A
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
N/A
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
N/A
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
N/A
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
N/A
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
N/A
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
N/A
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
N/A
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
N/A
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
N/A
16ac8458-5200-4302-9ad0-b311df_D2
Normal
N/A
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
N/A
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
N/A
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
N/A
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
N/A
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
N/A
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
N/A
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
N/A
e070ff10-058b-4733-93ab-bdd702_D2
Normal
N/A
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
N/A
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
N/A
963fc8db-f412-4427-a198-23f660_D2
Normal
N/A
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
N/A
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
N/A
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
N/A
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
N/A
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
N/A
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
N/A
47d2a435-b203-4438-ae72-53c424_D2
Normal
N/A
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
N/A
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
N/A
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
N/A
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
N/A
82157a70-12f1-4913-b548-d98881_D2
Normal
N/A
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
N/A
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
N/A
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
N/A
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
N/A
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
N/A
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
N/A
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
N/A
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
N/A
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
N/A
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
N/A
b2400046-1d25-429d-a821-6040a6
Tumor
N/A
2b810478-7956-4a8b-870d-184859_D2
Tumor
N/A
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
N/A
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
N/A
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
N/A
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
N/A
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
N/A
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
N/A
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
N/A
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
N/A
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
N/A
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
N/A
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
N/A
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
N/A
1c070992-647b-4173-a481-904c4d_D2
Normal
N/A
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
N/A
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
N/A
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
N/A
c307b7b0-534a-45fa-a420-35f773_D2
Normal
N/A
5e886f1c-8165-4232-9591-d80799_D2
Normal
N/A
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
N/A
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
N/A
2666323d-522f-4f0a-823c-ff8866_D2
Normal
N/A
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
N/A
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
N/A
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
N/A
067db520-1b1f-4569-9414-e37a6e_D2
Normal
N/A
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
N/A
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
N/A
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
N/A
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
N/A
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
N/A
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
N/A
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
N/A
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
N/A
3d797911-d476-436f-9cce-33e20c_D8
Tumor
N/A
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
N/A
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
N/A
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
N/A
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
N/A
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
N/A
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
N/A
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
N/A
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
N/A
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
N/A
d80408d6-598d-4411-ab34-eb2545_D2
Normal
N/A
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
N/A
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
N/A
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
N/A
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
N/A
41a04113-2061-4923-bca5-da586c_D2
Normal
N/A
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
N/A
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
N/A
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
N/A
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
N/A
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
N/A
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
N/A
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
N/A
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
N/A
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
N/A
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
N/A
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
N/A
3a17283c-a0f4-4514-956b-080d11_D2
Normal
N/A
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
N/A
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
N/A
02cde0c0-6840-495b-9b11-007d82_D2
Normal
N/A
974e136f-7020-4a38-b9c1-094df9_D2
Normal
N/A
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
N/A
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
N/A
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
N/A
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
N/A
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
N/A
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
N/A
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
N/A
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
N/A
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
N/A
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
N/A
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
N/A
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
N/A
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
N/A
411d9597-c785-4de5-b449-29a80d_D2
Normal
N/A
0d5554d1-1653-4589-a44f-43113e_D2
Normal
N/A
b3696374-c6c0-49dd-833e-596e26_D2
Normal
N/A
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
N/A
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
N/A
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
N/A
43192517-085e-450e-9481-0a6713_D3
Tumor
N/A
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
N/A
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
N/A
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
N/A
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
N/A
359f5c81-2575-497e-8630-e4866f_D2
Normal
N/A
da747cee-5026-4923-af63-ad9f81_D2
Normal
N/A
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
N/A
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
N/A
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
N/A
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
N/A
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
N/A
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
N/A
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
N/A
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
N/A
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
N/A
4b263734-430f-41dc-a296-8691f0_D3
Tumor
N/A
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
N/A
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
N/A
a243b765-61ab-4aa6-88e1-226896_D2
Normal
N/A
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
N/A
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
N/A
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
N/A
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
N/A
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
N/A
348f6009-e1be-44d2-a093-9ca844_D2
Normal
N/A
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
N/A
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
N/A
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
N/A
0f238226-864c-4de0-8c61-01e729_D2
Tumor
N/A
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
N/A
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
N/A
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
N/A
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
N/A
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
N/A
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
N/A
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
N/A
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
N/A
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
N/A
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
N/A
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
N/A
bda3787a-1397-4716-bb17-4992a8_D2
Normal
N/A
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
N/A
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
N/A
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
N/A
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
N/A
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
N/A
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
N/A
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
N/A
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
N/A
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
N/A
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
N/A
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
N/A
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
N/A
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
N/A
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
N/A
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
N/A
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
N/A
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
N/A
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
N/A
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
N/A
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
N/A
Show allShow less
COLORECTAL CANCER - Protein expressioni
A mouse-over function shows sample information and annotation data. Click on an image to view it in a full screen mode. Samples can be filtered based on level of antibody staining by selecting one or several of the following categories: high, medium, low and not detected. The assay and annotation is described here.
Note that samples used for immunohistochemistry by the Human Protein Atlas do not correspond to samples in the TCGA dataset.
Antibody stainingi
Antibody staining in the annotated cell types in the current human tissue is reported as not detected, low, medium, or high, based on conventional immunohistochemistry profiling in selected tissues. This score is based on the combination of the staining intensity and fraction of stained cells.
Each image is clickable and will lead to virtual microscopy that enables deeper exploration of all samples and also displays staining intensity scores, fraction scores and subcellular localization as well as patient and tissue information for each sample.
The Human Protein Atlas project is funded
