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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.
C3 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
58.9
Number of samples
254
Samples
Sample
Description
TPM
TCGA-D5-6534-01A
0 years, female, white, stage:Stage IIA, alive, 1316 days
578.3
TCGA-F4-6703-01A
0 years, male, white, stage:Stage IIA, alive, 1456 days
464.7
TCGA-A6-6651-01A
0 years, female, white, stage:Stage IIIB, alive, 662 days
412.7
TCGA-F4-6807-01A
0 years, female, white, stage:Stage IIIC, alive, 1309 days
358.9
TCGA-CM-5348-01A
0 years, male, white, stage:Stage IIIB, alive, 699 days
333.6
TCGA-AD-6964-01A
0 years, male, white, stage:'--, dead, 331 days
313.9
TCGA-AD-6901-01A
0 years, male, white, stage:'--, dead, 682 days
307.4
TCGA-CM-6162-01A
0 years, female, white, stage:Stage IIIB, alive, 365 days
303.5
TCGA-AY-6196-01A
0 years, male, white, stage:Stage IIIC, alive, 6 days
299.8
TCGA-F4-6569-01A
0 years, male, white, stage:Stage I, alive, 1087 days
289.2
TCGA-AA-3489-01A
0 years, male, stage:Stage II, dead, 214 days
277.4
TCGA-A6-6781-01A
0 years, male, white, stage:Stage IIIC, alive, 598 days
237.2
TCGA-AZ-6605-01A
0 years, male, white, stage:Stage IIIB, dead, 159 days
224.1
TCGA-CA-6717-01A
0 years, male, asian, stage:Stage IIA, alive, 388 days
223.3
TCGA-AZ-4323-01A
0 years, male, white, stage:Stage IV, dead, 43 days
208.5
TCGA-CM-6169-01A
0 years, male, black or african american, stage:Stage IIA, alive, 396 days
208.2
TCGA-DM-A1HB-01A
0 years, male, white, stage:Stage IIIB, alive, 4126 days
206.2
TCGA-CM-6167-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 456 days
205.3
TCGA-5M-AAT6-01A
0 years, female, black or african american, stage:Stage IV, dead, 290 days
197.4
TCGA-A6-6654-01A
0 years, female, white, stage:Stage IIIB, alive, 726 days
185.3
TCGA-D5-6928-01A
0 years, male, white, stage:Stage IIA, alive, 354 days
169.0
TCGA-CM-6163-01A
0 years, male, white, stage:Stage I, alive, 427 days
168.9
TCGA-A6-5664-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 672 days
163.7
TCGA-F4-6809-01A
0 years, female, white, stage:Stage IVA, dead, 403 days
161.9
TCGA-D5-6529-01A
0 years, male, white, stage:Stage IIA, alive, 614 days
157.7
TCGA-CM-6168-01A
0 years, female, black or african american, stage:Stage IIA, alive, 395 days
149.2
TCGA-F4-6704-01A
0 years, male, american indian or alaska native, stage:Stage IIIC, alive, 47 days
148.5
TCGA-WS-AB45-01A
0 years, female, black or african american, stage:Stage IIA, alive, 2130 days
148.0
TCGA-A6-6782-01A
0 years, male, white, stage:Stage IIB, alive, 617 days
147.2
TCGA-G4-6625-01A
0 years, female, white, stage:Stage IIA, alive, 2792 days
143.1
TCGA-G4-6299-01A
0 years, male, white, stage:Stage IIIC, alive, 2268 days
133.2
TCGA-CM-6165-01A
0 years, male, white, stage:Stage IIA, alive, 488 days
124.3
TCGA-G4-6303-01A
0 years, female, white, stage:Stage IV, dead, 2003 days
124.2
TCGA-A6-2675-01A
0 years, male, white, stage:Stage IIA, alive, 1321 days
113.1
TCGA-A6-2674-01A
0 years, male, white, stage:Stage IV, alive, 1331 days
112.3
TCGA-D5-6926-01A
0 years, male, white, stage:Stage IIIB, alive, 275 days
112.2
TCGA-G4-6627-01A
0 years, male, white, stage:Stage IIA, alive, 2175 days
111.6
TCGA-A6-6141-01A
0 years, male, black or african american, stage:Stage IIA, alive, 255 days
109.0
TCGA-A6-5659-01A
0 years, male, white, stage:Stage I, alive, 926 days
105.0
TCGA-CM-6170-01A
0 years, female, white, stage:Stage I, alive, 457 days
98.7
TCGA-A6-6649-01A
0 years, male, white, stage:Stage IIIB, alive, 735 days
97.7
TCGA-AD-6899-01A
0 years, male, white, stage:Stage IIIC, dead, 176 days
92.5
TCGA-G4-6314-01A
0 years, female, white, stage:Stage IV, alive, 1093 days
90.7
TCGA-F4-6459-01A
0 years, female, white, stage:Stage IIIB, dead, 262 days
90.3
TCGA-F4-6805-01A
0 years, female, white, stage:Stage IIA, alive, 1047 days
88.0
TCGA-D5-6922-01A
0 years, male, white, stage:Stage IIIA, alive, 308 days
86.0
TCGA-CM-6680-01A
0 years, female, white, stage:Stage IIIB, alive, 366 days
85.8
TCGA-NH-A50V-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 588 days
85.4
TCGA-A6-5657-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 962 days
84.9
TCGA-CM-5860-01A
0 years, male, white, stage:Stage IIA, alive, 974 days
84.1
TCGA-A6-3810-01A
0 years, male, white, stage:Stage IIA, alive, 1111 days
82.1
TCGA-AM-5821-01A
0 years, female, white, stage:Stage IIA, alive, 28 days
81.6
TCGA-D5-6930-01A
0 years, male, white, stage:Stage IIA, alive, 406 days
81.5
TCGA-CM-6677-01A
0 years, female, white, stage:Stage IIA, alive, 337 days
80.7
TCGA-CA-6719-01A
0 years, male, asian, stage:Stage IIA, alive, 435 days
79.5
TCGA-D5-6540-01A
0 years, male, white, stage:Stage I, alive, 491 days
79.4
TCGA-AZ-6607-01A
0 years, male, white, stage:Stage IV, dead, 97 days
78.7
TCGA-A6-6138-01A
0 years, male, white, stage:Stage I, alive, 685 days
78.6
TCGA-A6-2686-01A
0 years, female, white, stage:Stage IIA, dead, 1126 days
78.4
TCGA-AD-5900-01A
0 years, male, white, stage:Stage I, alive, 370 days
76.3
TCGA-F4-6570-01A
0 years, female, white, stage:Stage IIA, dead, 188 days
75.9
TCGA-D5-6923-01A
0 years, male, white, stage:Stage I, alive, 378 days
73.9
TCGA-G4-6297-01A
0 years, female, white, stage:Stage IV, alive, 2506 days
73.2
TCGA-CM-5861-01A
0 years, female, white, stage:Stage IIA, alive, 457 days
71.8
TCGA-AA-3496-01A
0 years, female, stage:Stage II, alive, 31 days
69.3
TCGA-D5-5539-01A
0 years, male, white, stage:Stage IIIA, alive, 596 days
66.6
TCGA-AU-3779-01A
0 years, female, white, stage:Stage IIA, alive, 441 days
66.1
TCGA-3L-AA1B-01A
0 years, female, black or african american, stage:Stage I, alive, 475 days
65.6
TCGA-CM-6679-01A
0 years, male, white, stage:Stage IIA, alive, 306 days
65.4
TCGA-D5-6898-01A
0 years, female, white, stage:Stage I, alive, 229 days
65.1
TCGA-AU-6004-01A
0 years, female, white, stage:Stage I, alive, 824 days
64.9
TCGA-G4-6295-01A
0 years, female, white, stage:Stage II, alive, 254 days
64.6
TCGA-AD-6895-01A
0 years, male, white, stage:Stage IIIB, alive, 763 days
64.6
TCGA-G4-6628-01A
0 years, male, white, stage:Stage I, alive, 2424 days
64.5
TCGA-D5-6535-01A
0 years, female, white, stage:Stage IIIB, alive, 460 days
61.8
TCGA-A6-5656-01A
0 years, male, white, stage:Stage I, alive, 1001 days
61.7
TCGA-G4-6311-01A
0 years, male, white, stage:Stage III, alive, 1199 days
61.2
TCGA-CM-6161-01A
0 years, female, white, stage:Stage I, alive, 457 days
61.1
TCGA-A6-A5ZU-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 293 days
60.5
TCGA-NH-A6GA-01A
0 years, male, black or african american, stage:Stage IIIC, dead, 302 days
60.1
TCGA-D5-6924-01A
0 years, male, white, stage:Stage IIA, alive, 435 days
59.9
TCGA-F4-6855-01A
0 years, female, white, stage:Stage IIA, alive, 1442 days
59.3
TCGA-CA-6718-01A
0 years, male, asian, stage:Stage IIA, dead, 306 days
56.6
TCGA-F4-6461-01A
0 years, female, white, stage:Stage IIIC, dead, 338 days
56.3
TCGA-CM-5863-01A
0 years, female, white, stage:Stage IIIB, alive, 457 days
55.6
TCGA-F4-6460-01A
0 years, female, white, stage:Stage IIIB, dead, 972 days
55.0
TCGA-F4-6463-01A
0 years, male, white, stage:Stage IIA, alive, 1087 days
54.3
TCGA-A6-6142-01A
0 years, female, white, stage:Stage IVA, alive, 763 days
53.2
TCGA-AZ-6601-01A
0 years, male, white, stage:Stage II, dead, 3042 days
52.9
TCGA-AD-6548-01A
0 years, female, white, stage:Stage I, alive, 650 days
52.5
TCGA-CM-6172-01A
0 years, female, white, stage:Stage IIIB, alive, 335 days
52.3
TCGA-D5-5538-01A
0 years, female, white, stage:Stage IIIB, dead, 1661 days
51.8
TCGA-CM-4751-01A
0 years, male, white, stage:Stage IIIB, alive, 822 days
51.2
TCGA-AZ-6603-01A
0 years, female, white, stage:'--, dead, 899 days
51.0
TCGA-A6-A566-01A
0 years, female, black or african american, stage:Stage IIIB, dead, 758 days
50.8
TCGA-A6-A565-01A
0 years, female, black or african american, stage:Stage IIIC, dead, 494 days
48.9
TCGA-CM-6166-01A
0 years, female, white, stage:Stage I, alive, 669 days
48.7
TCGA-CK-5916-01A
0 years, female, white, stage:Stage I, dead, 643 days
48.0
TCGA-A6-4105-01A
0 years, male, white, stage:Stage IIA, dead, 442 days
47.8
TCGA-CM-6676-01A
0 years, male, white, stage:Stage I, alive, 337 days
47.4
TCGA-AD-6890-01A
0 years, male, white, stage:'--, alive, 746 days
45.7
TCGA-QG-A5Z1-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 256 days
45.2
TCGA-D5-6927-01A
0 years, male, white, stage:Stage IIA, alive, 287 days
44.2
TCGA-A6-5667-01A
0 years, female, white, stage:Stage IIIB, alive, 887 days
43.7
TCGA-CK-6747-01A
0 years, female, white, stage:Stage IIA, alive, 820 days
42.7
TCGA-DM-A0XF-01A
0 years, female, white, stage:Stage IIIC, dead, 1162 days
41.3
TCGA-D5-6541-01A
0 years, male, white, stage:Stage IIA, alive, 474 days
40.1
TCGA-AD-6963-01A
0 years, male, white, stage:'--, alive, 834 days
39.9
TCGA-D5-6536-01A
0 years, male, white, stage:Stage IIA, alive, 543 days
39.0
TCGA-CK-5912-01A
0 years, male, white, stage:Stage I, dead, 1493 days
38.8
TCGA-F4-6806-01A
0 years, female, white, stage:Stage I, alive, 1260 days
38.4
TCGA-D5-6931-01A
0 years, male, white, stage:Stage IIIC, alive, 365 days
38.3
TCGA-F4-6854-01A
0 years, female, white, stage:Stage IIA, alive, 16 days
37.3
TCGA-AD-6965-01A
0 years, male, white, stage:Stage IIIC, alive, 805 days
33.9
TCGA-CA-5254-01A
0 years, female, asian, stage:Stage IIA, alive, 386 days
33.9
TCGA-CM-6674-01A
0 years, male, white, stage:Stage IIA, alive, 394 days
32.4
TCGA-AZ-5403-01A
0 years, male, white, stage:Stage II, dead, 1910 days
31.9
TCGA-AA-3511-01A
0 years, male, stage:Stage II, alive, 212 days
31.7
TCGA-D5-6531-01A
0 years, male, white, stage:Stage IIA, alive, 540 days
31.4
TCGA-D5-7000-01A
0 years, female, white, stage:Stage I, alive, 312 days
31.4
TCGA-CM-5864-01A
0 years, male, white, stage:Stage I, alive, 457 days
30.0
TCGA-CM-5349-01A
0 years, female, white, stage:Stage IIA, alive, 915 days
29.6
TCGA-CM-6678-01A
0 years, female, white, stage:Stage IVA, alive, 335 days
29.3
TCGA-D5-6530-01A
0 years, male, white, stage:Stage I, alive, 621 days
29.2
TCGA-CM-6164-01A
0 years, female, white, stage:Stage IIA, alive, 883 days
29.1
TCGA-G4-6294-01A
0 years, male, white, stage:Stage IV, dead, 858 days
28.0
TCGA-G4-6323-01A
0 years, male, black or african american, stage:Stage IA, alive, 419 days
27.3
TCGA-NH-A6GB-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 476 days
26.4
TCGA-CK-6751-01A
0 years, female, white, stage:Stage I, alive, 518 days
25.7
TCGA-A6-6137-01A
0 years, male, white, stage:Stage IIIB, alive, 824 days
25.6
TCGA-NH-A8F8-01A
0 years, male, black or african american, stage:Stage IV, dead, 511 days
24.9
TCGA-AZ-6600-01A
0 years, male, black or african american, stage:Stage IV, dead, 368 days
24.8
TCGA-AZ-6598-01A
0 years, female, white, stage:Stage II, dead, 1503 days
24.4
TCGA-D5-6929-01A
0 years, female, white, stage:Stage IV, alive, 408 days
24.3
TCGA-QL-A97D-01A
0 years, female, black or african american, stage:Stage I, alive, 666 days
24.2
TCGA-A6-6780-01A
0 years, male, white, stage:Stage IIA, alive, 612 days
23.7
TCGA-A6-3809-01A
0 years, female, white, stage:Stage IIB, alive, 996 days
23.4
TCGA-G4-6310-01A
0 years, male, white, stage:Stage IIIB, alive, 1935 days
23.2
TCGA-AA-3655-01A
0 years, male, stage:Stage II, alive, 1856 days
23.1
TCGA-G4-6321-01A
0 years, female, white, stage:Stage III, alive, 672 days
22.8
TCGA-5M-AATE-01A
0 years, male, black or african american, stage:Stage IIA, alive, 1200 days
22.3
TCGA-AD-6888-01A
0 years, male, white, stage:Stage IIIB, dead, 472 days
21.9
TCGA-DM-A28G-01A
0 years, male, white, stage:Stage IIA, dead, 1849 days
21.8
TCGA-QG-A5Z2-01A
0 years, male, black or african american, stage:Stage I, alive, 952 days
21.8
TCGA-AA-3662-01A
0 years, female, stage:Stage IV, alive, 184 days
21.7
TCGA-AA-3713-01A
0 years, male, stage:Stage IV, alive, 579 days
20.8
TCGA-A6-6653-01A
0 years, male, white, stage:Stage I, alive, 742 days
20.8
TCGA-F4-6856-01A
0 years, male, white, stage:Stage I, alive, 1074 days
20.5
TCGA-CM-5344-01A
0 years, female, white, stage:Stage IIIB, alive, 670 days
19.8
TCGA-A6-5661-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1020 days
19.7
TCGA-D5-5537-01A
0 years, male, white, stage:'--, dead, 1381 days
19.7
TCGA-CM-5868-01A
0 years, female, white, stage:Stage IVA, alive, 518 days
19.4
TCGA-G4-6293-01A
0 years, female, white, stage:Stage III, alive, 4051 days
19.3
TCGA-CK-5913-01A
0 years, female, white, stage:Stage IIA, alive, 1561 days
19.2
TCGA-AA-3675-01A
0 years, male, stage:Stage II, alive, 1431 days
19.1
TCGA-DM-A28A-01A
0 years, male, white, stage:Stage IIIC, dead, 805 days
18.7
TCGA-DM-A1D8-01A
0 years, female, white, stage:'--, dead, 383 days
18.2
TCGA-AZ-6606-01A
0 years, male, white, stage:Stage IV, dead, 357 days
18.2
TCGA-D5-6932-01A
0 years, male, white, stage:Stage IIA, alive, 346 days
18.1
TCGA-QG-A5YW-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 896 days
18.0
TCGA-AA-3526-01A
0 years, male, stage:Stage I, alive, 580 days
17.8
TCGA-A6-5660-01A
0 years, male, black or african american, stage:Stage IIIC, alive, 888 days
17.8
TCGA-AA-3685-01A
0 years, male, stage:Stage II, alive, 1127 days
17.3
TCGA-G4-6586-01A
0 years, female, white, stage:Stage IIA, alive, 1089 days
17.3
TCGA-A6-A56B-01A
0 years, male, black or african american, stage:Stage IIIB, dead, 1711 days
16.7
TCGA-CA-5797-01A
0 years, male, asian, stage:Stage IIA, alive, 383 days
15.6
TCGA-G4-6588-01A
0 years, female, white, stage:Stage IIA, alive, 796 days
15.5
TCGA-CK-5914-01A
0 years, male, white, stage:Stage IIIB, alive, 669 days
15.2
TCGA-AY-6386-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 542 days
14.3
TCGA-AM-5820-01A
0 years, female, white, stage:Stage IVA, alive, 14 days
14.1
TCGA-CK-6748-01A
0 years, female, white, stage:Stage IV, alive, 61 days
14.1
TCGA-AA-A02K-01A
0 years, male, stage:Stage IV, dead, 426 days
14.0
TCGA-AA-A02Y-01A
0 years, male, stage:Stage I, alive, 1216 days
13.3
TCGA-AA-3660-01A
0 years, female, stage:Stage II, alive, 2375 days
12.3
TCGA-4N-A93T-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 146 days
12.2
TCGA-D5-6533-01A
0 years, female, white, stage:'--, alive, 775 days
12.1
TCGA-NH-A6GC-01A
0 years, female, black or african american, stage:Stage IVB, alive, 389 days
11.7
TCGA-DM-A0XD-01A
0 years, male, white, stage:Stage IIA, dead, 743 days
11.6
TCGA-QG-A5YV-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 1301 days
11.2
TCGA-CK-4950-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2599 days
11.2
TCGA-AA-3697-01A
0 years, male, stage:Stage II, alive, 2587 days
11.1
TCGA-A6-6652-01A
0 years, male, black or african american, stage:Stage IVA, alive, 751 days
11.1
TCGA-CM-6171-01A
0 years, female, white, stage:Stage I, alive, 427 days
10.9
TCGA-CM-5862-01A
0 years, male, white, stage:Stage IVA, dead, 153 days
10.8
TCGA-NH-A50U-01A
0 years, male, black or african american, stage:Stage IVA, dead, 334 days
10.5
TCGA-DM-A1D9-01A
0 years, female, white, stage:Stage IIA, alive, 4270 days
10.5
TCGA-DM-A0X9-01A
0 years, female, white, stage:Stage IIA, alive, 3641 days
10.4
TCGA-5M-AAT4-01A
0 years, male, black or african american, stage:Stage IV, dead, 49 days
10.3
TCGA-A6-A567-01A
0 years, male, black or african american, stage:Stage IV, dead, 1881 days
10.3
TCGA-AZ-4616-01A
0 years, female, white, stage:Stage IV, dead, 156 days
10.3
TCGA-DM-A28F-01A
0 years, male, white, stage:Stage IIIB, dead, 1094 days
10.1
TCGA-DM-A1DB-01A
0 years, male, white, stage:Stage IIA, dead, 1348 days
10.0
TCGA-AY-A69D-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
9.9
TCGA-DM-A1D7-01A
0 years, male, white, stage:Stage IIA, dead, 405 days
9.6
TCGA-A6-5665-01A
0 years, female, white, stage:Stage IIA, alive, 671 days
8.9
TCGA-AY-5543-01A
0 years, female, black or african american, stage:Stage IVA, alive, 1004 days
8.6
TCGA-G4-6322-01A
0 years, male, white, stage:Stage IIIB, alive, 792 days
8.2
TCGA-G4-6309-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 2600 days
7.9
TCGA-AY-6197-01A
0 years, male, white, stage:Stage IIA, alive, 652 days
7.8
TCGA-D5-6532-01A
0 years, male, white, stage:Stage IIA, alive, 555 days
7.7
TCGA-DM-A285-01A
0 years, female, white, stage:Stage IV, dead, 179 days
7.6
TCGA-AZ-6599-01A
0 years, male, white, stage:Stage I, dead, 206 days
7.5
TCGA-CM-4744-01A
0 years, male, white, stage:Stage I, alive, 609 days
7.4
TCGA-AY-A71X-01A
0 years, female, black or african american, stage:Stage I, alive, 588 days
7.3
TCGA-CA-6716-01A
0 years, male, asian, stage:Stage IIA, alive, 371 days
7.2
TCGA-G4-6626-01A
0 years, male, white, stage:Stage IIA, dead, 1 days
7.2
TCGA-G4-6320-01A
0 years, male, white, stage:Stage III, alive, 804 days
7.2
TCGA-G4-6306-01A
0 years, male, white, stage:'--, alive, 1359 days
7.1
TCGA-A6-5662-01A
0 years, male, white, stage:Stage IVA, alive, 718 days
7.0
TCGA-DM-A280-01A
0 years, female, white, stage:Stage IIA, dead, 236 days
6.8
TCGA-G4-6307-01A
0 years, female, white, stage:Stage IIIB, alive, 1674 days
6.6
TCGA-AY-A8YK-01A
0 years, male, black or african american, stage:Stage IVA, alive, 573 days
5.9
TCGA-D5-6920-01A
0 years, female, white, stage:Stage IIA, alive, 377 days
5.7
TCGA-F4-6808-01A
0 years, female, white, stage:Stage I, alive, 1024 days
5.6
TCGA-D5-6537-01A
0 years, male, white, stage:Stage IIIB, dead, 146 days
5.4
TCGA-AZ-5407-01A
0 years, female, white, stage:Stage I, alive, 2683 days
5.4
TCGA-AD-A5EK-01A
0 years, male, black or african american, stage:Stage I, alive, 500 days
5.4
TCGA-CA-6715-01A
0 years, male, asian, stage:Stage IIIB, alive, 383 days
5.3
TCGA-CK-4952-01A
0 years, female, white, stage:Stage IIIC, alive, 475 days
5.3
TCGA-DM-A28E-01A
0 years, female, white, stage:Stage IIA, alive, 3648 days
5.0
TCGA-A6-6650-01A
0 years, female, black or african american, stage:Stage IIA, alive, 627 days
4.8
TCGA-A6-6140-01A
0 years, male, white, stage:Stage IIA, alive, 734 days
4.8
TCGA-CM-6675-01A
0 years, male, black or african american, stage:Stage IVB, alive, 397 days
4.3
TCGA-DM-A282-01A
0 years, female, white, stage:Stage IIA, alive, 4233 days
4.3
TCGA-CA-5255-01A
0 years, male, asian, stage:Stage IIA, alive, 376 days
4.2
TCGA-A6-5666-01A
0 years, male, white, stage:Stage IIC, alive, 995 days
3.9
TCGA-DM-A28H-01A
0 years, male, white, stage:Stage IIIC, alive, 3561 days
3.9
TCGA-D5-6539-01A
0 years, female, white, stage:'--, alive, 380 days
3.9
TCGA-AZ-6608-01A
0 years, female, white, stage:Stage IIIA, dead, 59 days
3.8
TCGA-DM-A28K-01A
0 years, male, white, stage:Stage IIA, alive, 2988 days
3.8
TCGA-QG-A5YX-01A
0 years, female, black or african american, stage:Stage IIA, alive, 1003 days
3.8
TCGA-T9-A92H-01A
0 years, male, black or african american, stage:Stage IIA, alive, 362 days
3.7
TCGA-CM-4743-01A
0 years, male, white, stage:Stage IIA, alive, 701 days
3.7
TCGA-SS-A7HO-01A
0 years, female, black or african american, stage:Stage IIB, alive, 1829 days
3.7
TCGA-A6-6648-01A
0 years, male, white, stage:Stage IVA, alive, 766 days
3.6
TCGA-NH-A8F7-01A
0 years, female, black or african american, stage:Stage IIA, alive, 543 days
3.6
TCGA-DM-A1D4-01A
0 years, male, white, stage:Stage IIA, dead, 2821 days
3.5
TCGA-DM-A1D6-01A
0 years, male, white, stage:Stage IIA, dead, 570 days
3.4
TCGA-NH-A50T-01A
0 years, female, black or african american, stage:Stage IIA, alive, 553 days
3.1
TCGA-G4-6315-01A
0 years, male, white, stage:Stage IV, alive, 1883 days
2.9
TCGA-4T-AA8H-01A
0 years, female, black or african american, stage:Stage IIA, alive, 385 days
2.9
TCGA-D5-6538-01A
0 years, female, white, stage:Stage IIIB, alive, 521 days
2.8
TCGA-DM-A1HA-01A
0 years, male, white, stage:Stage IIIC, alive, 2600 days
2.7
TCGA-DM-A288-01A
0 years, male, white, stage:Stage IIIC, dead, 427 days
2.6
TCGA-AY-A54L-01A
0 years, female, black or african american, stage:Stage I, alive, 525 days
2.5
TCGA-RU-A8FL-01A
0 years, male, black or african american, stage:Stage IIIB, alive, 1177 days
2.5
TCGA-AA-3663-01A
0 years, male, stage:Stage II, alive, 212 days
2.5
TCGA-AD-6889-01A
0 years, male, asian, stage:Stage IIA, dead, 2532 days
2.5
TCGA-DM-A28C-01A
0 years, male, white, stage:Stage IIA, dead, 2475 days
2.4
TCGA-G4-6304-01A
0 years, female, white, stage:Stage IIB, alive, 1631 days
2.1
TCGA-DM-A1DA-01A
0 years, female, white, stage:Stage IIIC, dead, 228 days
2.0
TCGA-DM-A28M-01A
0 years, male, white, stage:Stage IIA, alive, 2895 days
1.9
TCGA-G4-6317-01A
0 years, female, white, stage:Stage IIIC, alive, 1095 days
1.6
TCGA-DM-A1D0-01A
0 years, female, white, stage:Stage IIA, alive, 3974 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.
C3 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
138.3
Number of samples
486
Samples
Sample
Description
TPM
U2842
0 years, female, NA, stage:T4N2M0, alive, 675 days
650.5
U0249
0 years, female, NA, stage:T4N2M0, dead, 874 days
584.8
U0119
0 years, female, NA, stage:T3N0M0, alive, 3259 days
571.9
U0106
0 years, female, NA, stage:T3N1M0, dead, 653 days
524.6
U0214
0 years, male, NA, stage:T4N1M1, alive, 788 days
502.2
U3018
0 years, male, NA, stage:T4N1M0, alive, 463 days
479.4
U3029
0 years, male, NA, stage:T2N0M0, alive, 475 days
456.4
U0977
0 years, female, NA, stage:T4N2M0, dead, 140 days
443.1
U0295
0 years, male, NA, stage:T3N0M0, dead, 2572 days
425.3
U2935
0 years, male, NA, stage:T4N1M0, alive, 555 days
424.8
U0002
0 years, female, NA, stage:T3N2M0, alive, 3691 days
423.5
U0267
0 years, male, NA, stage:T4N0M0, dead, 445 days
417.9
U1045
0 years, female, NA, stage:T4N2M0, alive, 1239 days
414.9
U0398
0 years, female, NA, stage:T3N0M0, alive, 721 days
412.1
U1094
0 years, female, NA, stage:T4N1M0, alive, 1267 days
405.5
U0257
0 years, male, NA, stage:T3N1M0, dead, 2508 days
400.0
U1338
0 years, female, NA, stage:T4N1M0, dead, 716 days
392.8
U0145
0 years, male, NA, stage:T3N1M1, alive, 623 days
392.5
U1253
0 years, female, NA, stage:T3N0M0, dead, 165 days
383.1
U0153
0 years, female, NA, stage:T3N0M0, dead, 1718 days
381.5
U1037
0 years, male, NA, stage:T4N0M0, alive, 1658 days
379.4
U0136
0 years, female, NA, stage:T3N0M0, dead, 2795 days
376.2
U3038
0 years, male, NA, stage:T3N0M0, alive, 328 days
375.4
U0303
0 years, female, NA, stage:T3N0M0, alive, 2847 days
374.0
U3000
0 years, female, NA, stage:T3N0M0, alive, 584 days
369.8
U0131
0 years, female, NA, stage:T4N2M1, alive, 238 days
360.5
U0908
0 years, female, NA, stage:T3N0M1, dead, 40 days
359.7
U1111
0 years, female, NA, stage:T3N0M0, dead, 1631 days
359.6
U1069
0 years, female, NA, stage:T3N0M0, dead, 2187 days
357.6
U0182
0 years, female, NA, stage:T4N1M0, dead, 260 days
355.9
U0338
0 years, female, NA, stage:T3N0M0, alive, 1016 days
354.1
U0987
0 years, female, NA, stage:T3N0M0, alive, 2482 days
350.7
U0984
0 years, female, NA, stage:T4N0M0, alive, 1287 days
345.8
U0245
0 years, female, NA, stage:T3N1M0, dead, 564 days
337.8
U0133
0 years, female, NA, stage:T3N0M0, alive, 773 days
335.3
U0882
0 years, male, NA, stage:T3N0M0, alive, 1675 days
331.9
U1103
0 years, female, NA, stage:T4N2M0, alive, 975 days
330.0
U0357
0 years, female, NA, stage:T3N0M0, alive, 2285 days
328.9
U1454
0 years, female, NA, stage:T3N0M0, alive, 393 days
326.0
U0424
0 years, male, NA, stage:T3N0M0, alive, 2192 days
325.4
U1147
0 years, male, NA, stage:T3N0M0, dead, 282 days
323.7
U2753
0 years, female, NA, stage:T2N0M0, alive, 813 days
323.5
U1241
0 years, male, NA, stage:T3N1M0, dead, 49 days
322.1
U1184
0 years, male, NA, stage:T4N1M0, alive, 290 days
317.9
U3024
0 years, female, NA, stage:T3N0M0, alive, 463 days
314.5
U0387
0 years, male, NA, stage:T2N0M0, alive, 1327 days
314.3
U0428
0 years, male, NA, stage:T4N1M1, alive, 1016 days
310.3
U1301
0 years, female, NA, stage:T4N2M0, dead, 877 days
300.7
U0146
0 years, female, NA, stage:T3N2M0, dead, 733 days
297.8
U0247
0 years, female, NA, stage:T3N1M0, alive, 2538 days
295.9
U1018
0 years, male, NA, stage:T4N1M1, dead, 1693 days
293.7
U0199
0 years, female, NA, stage:T4N2M0, alive, 1372 days
291.4
U0168
0 years, male, NA, stage:T3N0M0, dead, 948 days
287.3
U0200
0 years, female, NA, stage:T3N0M0, alive, 2614 days
285.6
U0456
0 years, male, NA, stage:T4N0M0, dead, 2222 days
284.4
U1188
0 years, female, NA, stage:T3N0M0, dead, 967 days
282.7
U1129
0 years, male, NA, stage:T3N0M0, dead, 118 days
280.6
U0421
0 years, male, NA, stage:T3N1M0, alive, 674 days
276.2
U0161
0 years, male, NA, stage:T4N2M1, alive, 42 days
275.2
U1446
0 years, female, NA, stage:T3N0M0, alive, 2314 days
267.5
U0113
0 years, male, NA, stage:T4N2M0, alive, 1102 days
266.7
U1047
0 years, female, NA, stage:T4N2M0, alive, 3592 days
265.7
U1303
0 years, male, NA, stage:T4N1M0, alive, 2283 days
261.8
U2843
0 years, female, NA, stage:T3N0M0, alive, 674 days
261.1
U0321
0 years, female, NA, stage:T3N0M0, alive, 1029 days
258.2
U0939
0 years, male, NA, stage:T3N1M0, alive, 2960 days
257.7
U0348
0 years, female, NA, stage:T3N0M0, alive, 533 days
257.1
U0115
0 years, female, NA, stage:T3N0M0, dead, 1738 days
256.6
U1332
0 years, male, NA, stage:T3N0M0, alive, 1672 days
254.1
U0449
0 years, female, NA, stage:T3N0M0, alive, 1851 days
253.1
U0440
0 years, female, NA, stage:T4N0M0, dead, 2743 days
252.8
U1204
0 years, male, NA, stage:T4N2M0, alive, 2214 days
251.2
U1228
0 years, male, NA, stage:T3N0M0, alive, 1333 days
250.8
U0101
0 years, male, NA, stage:T3N1M1, alive, 1878 days
250.0
U0217
0 years, female, NA, stage:T3N0M0, dead, 538 days
249.5
U3100
0 years, male, NA, stage:T3N1M0, dead, 1608 days
249.1
U0345
0 years, female, NA, stage:T3N0M0, alive, 2127 days
248.5
U0176
0 years, male, NA, stage:T3N1M0, alive, 2600 days
248.2
U0309
0 years, female, NA, stage:T3N0M0, dead, 1898 days
246.8
U0266
0 years, female, NA, stage:T3N1M0, dead, 2221 days
246.8
U0189
0 years, female, NA, stage:T3N0M0, dead, 1823 days
246.1
U1352
0 years, male, NA, stage:T3N2M1, dead, 741 days
245.6
U1213
0 years, female, NA, stage:T2N0M0, alive, 560 days
245.2
U0256
0 years, male, NA, stage:T3N0M0, alive, 738 days
243.2
U0358
0 years, female, NA, stage:T4N1M0, alive, 2290 days
240.9
U0297
0 years, female, NA, stage:T3N2M0, alive, 1196 days
240.2
U0317
0 years, female, NA, stage:T3N2M0, alive, 3209 days
240.1
U1276
0 years, male, NA, stage:T3N0M0, alive, 2474 days
239.6
U0143
0 years, male, NA, stage:T3N2M0, alive, 2313 days
238.4
U3050
0 years, female, NA, stage:T3N0M0, alive, 407 days
233.7
U0084
0 years, male, NA, stage:T3N0M0, dead, 1662 days
233.6
U0253
0 years, female, NA, stage:T3N0M0, alive, 958 days
233.1
U0370
0 years, female, NA, stage:T3N0M0, alive, 1047 days
232.0
U1162
0 years, male, NA, stage:T2N1M0, dead, 354 days
229.3
U1274
0 years, male, NA, stage:T2N1M0, alive, 1198 days
226.3
U0333
0 years, female, NA, stage:T3N2M0, dead, 1959 days
224.5
U1183
0 years, male, NA, stage:T4N2M0, alive, 959 days
224.3
U0158
0 years, male, NA, stage:T1N0M0, dead, 3101 days
221.6
U2999
0 years, female, NA, stage:T2N0M0, alive, 581 days
221.3
U0231
0 years, female, NA, stage:T2N0M0, alive, 991 days
220.4
U0172
0 years, male, NA, stage:T4N0M0, dead, 678 days
218.1
U0403
0 years, male, NA, stage:T3N1M1, dead, 1809 days
217.6
U0111
0 years, male, NA, stage:T2N0M0, alive, 1117 days
217.4
U0937
0 years, male, NA, stage:T2N0M0, dead, 1558 days
215.4
U0252
0 years, male, NA, stage:T3N1M0, dead, 1761 days
214.4
U0149
0 years, female, NA, stage:T3N2M0, alive, 1715 days
214.1
U0938
0 years, female, NA, stage:T3N0M0, dead, 1231 days
213.5
U1436
0 years, female, NA, stage:T3N0M0, alive, 1745 days
212.9
U1150
0 years, female, NA, stage:T3N0M0, alive, 15 days
209.9
U0444
0 years, female, NA, stage:T4N1M0, alive, 1841 days
208.0
U1321
0 years, male, NA, stage:T3N1M0, alive, 2578 days
206.2
U0066
0 years, male, NA, stage:T3N0M0, dead, 2486 days
206.2
U0144
0 years, male, NA, stage:T3N0M0, alive, 1218 days
205.5
U0254
0 years, female, NA, stage:T3N1M0, alive, 659 days
205.3
U0129
0 years, male, NA, stage:T4N0M0, dead, 1265 days
204.0
U0207
0 years, female, NA, stage:T3N0M0, dead, 2593 days
201.8
U1486
0 years, female, NA, stage:T4N0M0, alive, 1606 days
200.5
U0181
0 years, female, NA, stage:T1N0M0, alive, 3623 days
199.3
U2747
0 years, female, NA, stage:T4N1M0, dead, 54 days
198.2
U0285
0 years, female, NA, stage:T3N0M0, alive, 2165 days
198.1
U0315
0 years, female, NA, stage:T2N0M0, alive, 1973 days
197.6
U1220
0 years, male, NA, stage:T3N2M0, dead, 1953 days
194.2
U0332
0 years, female, NA, stage:T3N0M0, alive, 2101 days
193.0
U0177
0 years, female, NA, stage:T3N0M0, alive, 355 days
189.7
U2861
0 years, male, NA, stage:T3N0M0, alive, 652 days
188.5
U0453
0 years, male, NA, stage:T3N0M0, alive, 2859 days
188.2
U0274
0 years, male, NA, stage:T3N0M0, dead, 1570 days
185.2
U0196
0 years, male, NA, stage:T3N0M0, alive, 2086 days
185.1
U3039
0 years, male, NA, stage:T4N1M1, dead, 366 days
184.8
U1107
0 years, male, NA, stage:T3N0M0, alive, 329 days
184.3
U1032
0 years, male, NA, stage:T3N1M0, alive, 2113 days
184.2
U0360
0 years, female, NA, stage:T3N0M0, dead, 1016 days
182.0
U0463
0 years, male, NA, stage:T3N0M0, alive, 946 days
181.7
U0072
0 years, male, NA, stage:T3N0M0, alive, 2772 days
181.6
U1292
0 years, female, NA, stage:T4N1M0, alive, 1147 days
179.0
U0259
0 years, female, NA, stage:T4N2M0, alive, 76 days
177.8
U1075
0 years, female, NA, stage:T3N0M0, alive, 1290 days
177.2
U0375
0 years, male, NA, stage:T3N0M0, dead, 666 days
176.7
U0069
0 years, female, NA, stage:T4N2M0, dead, 135 days
176.1
U1127
0 years, female, NA, stage:T3N0M0, alive, 3465 days
175.9
U0092
0 years, male, NA, stage:T3N0M0, alive, 2779 days
173.4
U0955
0 years, female, NA, stage:T3N0M0, alive, 2170 days
172.6
U0083
0 years, male, NA, stage:T4N0M0, dead, 731 days
172.5
U0307
0 years, male, NA, stage:T3N0M0, alive, 2921 days
171.0
U0198
0 years, male, NA, stage:T3N1M0, alive, 1272 days
170.6
U1396
0 years, female, NA, stage:T4N0M0, alive, 1168 days
169.9
U0210
0 years, male, NA, stage:T3N0M0, dead, 1800 days
168.3
U2959
0 years, male, NA, stage:T3N2M0, alive, 536 days
167.8
U0236
0 years, male, NA, stage:T3N1M0, alive, 1842 days
167.4
U2782
0 years, male, NA, stage:T3N1M1, alive, 773 days
167.3
U0100
0 years, female, NA, stage:T3N0M0, dead, 1920 days
166.6
U0233
0 years, female, NA, stage:T3N1M0, alive, 975 days
166.2
U0420
0 years, male, NA, stage:T4N1M1, alive, 417 days
166.1
U1145
0 years, female, NA, stage:T3N0M0, dead, 445 days
164.6
U0949
0 years, female, NA, stage:T3N0M1, dead, 594 days
163.9
U0976
0 years, female, NA, stage:T3N2M0, dead, 97 days
163.6
U0175
0 years, male, NA, stage:T3N2M0, alive, 1875 days
163.6
U0162
0 years, female, NA, stage:T3N0M0, alive, 1488 days
163.4
U1044
0 years, male, NA, stage:T4N0M0, alive, 3146 days
163.4
U3051
0 years, male, NA, stage:T3N2M0, alive, 415 days
163.2
U0439
0 years, male, NA, stage:T3N1M0, alive, 1418 days
163.0
U0368
0 years, male, NA, stage:T2N0M0, alive, 801 days
161.7
U0460
0 years, female, NA, stage:T3N0M0, dead, 2069 days
160.0
U1060
0 years, male, NA, stage:T3N0M0, alive, 2442 days
158.9
U1086
0 years, female, NA, stage:T1N0M0, alive, 2907 days
155.2
U1071
0 years, female, NA, stage:T4N0M1, alive, 1514 days
153.4
U0335
0 years, female, NA, stage:T3N1M0, alive, 2464 days
152.1
U2927
0 years, male, NA, stage:T3N1M0, alive, 564 days
150.5
U3030
0 years, female, NA, stage:T3N0M0, alive, 380 days
150.4
U0445
0 years, female, NA, stage:T3N0M0, alive, 1851 days
149.4
U0589
0 years, female, NA, stage:T3N0M0, alive, 1176 days
149.1
U2754
0 years, male, NA, stage:T4N0M0, alive, 809 days
147.3
U1448
0 years, male, NA, stage:T3N0M1, dead, 1512 days
145.4
U2947
0 years, female, NA, stage:T3N0M0, alive, 543 days
145.3
U1013
0 years, female, NA, stage:T2N1M0, alive, 1439 days
144.2
U0223
0 years, male, NA, stage:T4N1M0, alive, 1812 days
143.9
U0450
0 years, female, NA, stage:T3N1M0, alive, 763 days
143.7
U0090
0 years, female, NA, stage:T3N0M0, dead, 1258 days
143.1
U0123
0 years, male, NA, stage:T3N0M0, dead, 1880 days
143.0
U3122
0 years, female, NA, stage:T3N0M1, dead, 91 days
142.7
U0068
0 years, female, NA, stage:T3N1M0, alive, 1991 days
142.3
U0209
0 years, male, NA, stage:T3N1M0, alive, 2109 days
141.9
U2995
0 years, female, NA, stage:T3N1M0, alive, 491 days
140.7
U1344
0 years, female, NA, stage:T3N1M0, alive, 1450 days
140.5
U0438
0 years, female, NA, stage:T3N0M0, alive, 2009 days
139.7
U0312
0 years, female, NA, stage:T4N2M1, alive, 499 days
139.5
U1267
0 years, male, NA, stage:T3N1M0, dead, 2869 days
139.0
U0287
0 years, female, NA, stage:T2N0M0, alive, 1897 days
137.8
U0091
0 years, male, NA, stage:T3N0M0, alive, 520 days
137.7
U1346
0 years, female, NA, stage:T3N0M0, alive, 1137 days
137.5
U1065
0 years, female, NA, stage:T3N2M0, alive, 2954 days
136.7
U0218
0 years, female, NA, stage:T3N0M0, alive, 714 days
136.0
U0180
0 years, male, NA, stage:T3N0M1, dead, 965 days
135.3
U0202
0 years, male, NA, stage:T3N0M0, dead, 2670 days
132.2
U0222
0 years, female, NA, stage:T3N2M1, alive, 1779 days
131.2
U1392
0 years, male, NA, stage:T3N0M0, alive, 1513 days
130.8
U0186
0 years, female, NA, stage:T2N0M0, alive, 3726 days
130.7
U0183
0 years, male, NA, stage:T3N1M1, dead, 2957 days
130.6
U0292
0 years, male, NA, stage:T4N1M0, alive, 1666 days
128.9
U0318
0 years, male, NA, stage:T3N0M0, alive, 762 days
128.5
U3025
0 years, male, NA, stage:T4N2M1, alive, 377 days
127.8
U1258
0 years, male, NA, stage:T3N1M0, alive, 1373 days
127.4
U0165
0 years, female, NA, stage:T2N0M0, alive, 1702 days
126.9
U0163
0 years, male, NA, stage:T4N0M0, alive, 697 days
126.8
U0382
0 years, female, NA, stage:T3N0M0, alive, 2550 days
126.6
U0154
0 years, male, NA, stage:T3N0M0, alive, 820 days
126.4
U0109
0 years, female, NA, stage:T4N2M1, alive, 144 days
126.0
U1366
0 years, male, NA, stage:T3N1M0, alive, 2010 days
125.3
U1429
0 years, female, NA, stage:T3N0M0, alive, 1660 days
124.8
U0099
0 years, female, NA, stage:T3N0M0, dead, 986 days
124.8
U0126
0 years, male, NA, stage:T3N0M0, dead, 2876 days
124.6
U2837
0 years, female, NA, stage:T4N1M0, alive, 681 days
123.7
U2848
0 years, female, NA, stage:T4N2M0, alive, 669 days
123.2
U3043
0 years, female, NA, stage:T3N2M0, alive, 287 days
122.8
U2964
0 years, male, NA, stage:T3N1M0, alive, 637 days
122.8
U1078
0 years, female, NA, stage:T3N0M0, alive, 1016 days
122.1
U1386
0 years, male, NA, stage:T3N1M0, alive, 1518 days
121.7
U0102
0 years, female, NA, stage:T4N2M0, dead, 670 days
120.9
U2896
0 years, female, NA, stage:T3N1M0, alive, 609 days
120.4
U0191
0 years, male, NA, stage:T3N1M0, alive, 900 days
119.6
U1349
0 years, female, NA, stage:T3N1M0, alive, 1899 days
118.0
U1141
0 years, female, NA, stage:T4N1M1, dead, 596 days
117.0
U0950
0 years, female, NA, stage:T4N1M0, alive, 1834 days
116.9
U1257
0 years, male, NA, stage:T3N0M0, alive, 833 days
116.4
U3032
0 years, female, NA, stage:T3N1M0, alive, 449 days
116.1
U0408
0 years, female, NA, stage:T4N0M0, dead, 2100 days
116.1
U2882
0 years, female, NA, stage:T3N1M0, alive, 637 days
115.5
U1074
0 years, male, NA, stage:T3N0M0, dead, 1043 days
115.2
U0281
0 years, male, NA, stage:T3N2M0, alive, 933 days
114.7
U0443
0 years, male, NA, stage:T3N0M0, alive, 1677 days
113.3
U2774
0 years, female, NA, stage:T3N0M0, alive, 783 days
113.1
U1073
0 years, female, NA, stage:T3N1M0, alive, 1359 days
113.1
U0383
0 years, male, NA, stage:T3N2M1, dead, 595 days
112.1
U0386
0 years, female, NA, stage:T4N1M1, alive, 2592 days
111.8
U0170
0 years, male, NA, stage:T4N1M0, dead, 832 days
111.4
U0590
0 years, female, NA, stage:T3N0M0, alive, 661 days
111.3
U0447
0 years, male, NA, stage:T4N1M0, dead, 1819 days
111.1
U0404
0 years, female, NA, stage:T3N2M0, dead, 204 days
111.1
U0455
0 years, female, NA, stage:T3N2M0, alive, 2445 days
110.1
U2902
0 years, female, NA, stage:T2N0M0, alive, 596 days
109.7
U0916
0 years, female, NA, stage:T3N0M0, alive, 1578 days
109.3
U1401
0 years, female, NA, stage:T3N0M0, alive, 1482 days
109.1
U1120
0 years, male, NA, stage:T4N1M1, alive, 823 days
108.7
U0204
0 years, male, NA, stage:T3N0M0, dead, 770 days
108.6
U1327
0 years, female, NA, stage:T3N0M0, alive, 1613 days
107.6
U1240
0 years, male, NA, stage:T4N0M0, alive, 765 days
107.3
U0141
0 years, male, NA, stage:T3N2M0, alive, 2079 days
106.1
U0105
0 years, female, NA, stage:T2N0M0, dead, 2158 days
106.0
U0178
0 years, female, NA, stage:T3N1M0, dead, 2096 days
106.0
U0108
0 years, female, NA, stage:T3N0M1, alive, 535 days
105.6
U2792
0 years, male, NA, stage:T2N1M0, alive, 758 days
104.6
U1067
0 years, male, NA, stage:T3N0M0, alive, 1570 days
104.5
U0221
0 years, male, NA, stage:T3N0M0, alive, 569 days
104.4
U0268
0 years, male, NA, stage:T3N0M0, alive, 2978 days
103.7
U0416
0 years, male, NA, stage:T1N1M0, alive, 1228 days
103.4
U0411
0 years, female, NA, stage:T3N1M0, alive, 1868 days
103.0
U0087
0 years, female, NA, stage:T3N2M0, dead, 337 days
102.9
U0070
0 years, male, NA, stage:T1N0M0, dead, 1319 days
102.5
U0277
0 years, male, NA, stage:T2N1M0, alive, 270 days
102.0
U0467
0 years, female, NA, stage:T3N0M0, alive, 1848 days
101.6
U3005
0 years, male, NA, stage:T3N0M0, alive, 478 days
101.2
U0327
0 years, male, NA, stage:T4N0M0, alive, 833 days
101.1
U1239
0 years, male, NA, stage:T2N0M0, dead, 1998 days
100.7
U0396
0 years, male, NA, stage:T4N2M0, alive, 2243 days
100.5
U0273
0 years, male, NA, stage:T2N1M0, alive, 2641 days
99.9
U3037
0 years, male, NA, stage:T3N1M0, alive, 405 days
99.4
U0350
0 years, female, NA, stage:T4N0M0, alive, 770 days
99.1
U0362
0 years, male, NA, stage:T3N0M0, alive, 1148 days
97.3
U1072
0 years, male, NA, stage:T1N0M0, alive, 1446 days
96.9
U2981
0 years, male, NA, stage:T3N0M0, alive, 508 days
96.6
U0179
0 years, male, NA, stage:T3N1M0, dead, 1043 days
95.3
U0290
0 years, male, NA, stage:T4N2M0, dead, 593 days
94.3
U0122
0 years, female, NA, stage:T2N0M0, dead, 159 days
94.3
U1049
0 years, female, NA, stage:T3N1M0, alive, 1200 days
93.6
U0187
0 years, male, NA, stage:T3N2M0, alive, 1632 days
93.4
U0441
0 years, female, NA, stage:T2N1M0, alive, 2738 days
93.3
U1034
0 years, male, NA, stage:T4N0M0, alive, 1575 days
92.3
U0970
0 years, female, NA, stage:T4N1M0, alive, 939 days
92.2
U1250
0 years, male, NA, stage:T2N0M0, alive, 597 days
92.0
U0275
0 years, female, NA, stage:T3N2M0, alive, 549 days
91.4
U0898
0 years, female, NA, stage:T4aN0M0, dead, 340 days
90.5
U0363
0 years, male, NA, stage:T3N1M0, alive, 3601 days
86.8
U1041
0 years, male, NA, stage:T2N0M0, alive, 1108 days
86.6
U1252
0 years, female, NA, stage:T4N2M0, alive, 1309 days
86.4
U1483
0 years, female, NA, stage:T3N0M0, alive, 1094 days
85.2
U0442
0 years, male, NA, stage:T3N0M0, alive, 619 days
84.4
U0081
0 years, male, NA, stage:T3N2M0, dead, 248 days
84.3
U0355
0 years, male, NA, stage:T4N1M0, dead, 1038 days
83.3
U0933
0 years, male, NA, stage:T3N2M0, dead, 1960 days
82.3
U0171
0 years, female, NA, stage:T3N1M0, dead, 1920 days
82.2
U1022
0 years, male, NA, stage:T4N2M0, dead, 61 days
81.8
U1251
0 years, male, NA, stage:T4N2M0, alive, 126 days
81.4
U1421
0 years, female, NA, stage:T3N1M0, alive, 1905 days
81.3
U0246
0 years, female, NA, stage:T4N0M0, dead, 1192 days
81.3
U0314
0 years, female, NA, stage:T1N0M0, dead, 2436 days
81.1
U0302
0 years, male, NA, stage:T1N0M0, alive, 892 days
81.0
U1473
0 years, female, NA, stage:T3N0M0, alive, 1553 days
81.0
U1374
0 years, male, NA, stage:T4N0M0, alive, 827 days
80.4
U0193
0 years, male, NA, stage:T3N1M0, dead, 876 days
79.4
U0344
0 years, male, NA, stage:T2N1M0, dead, 818 days
79.0
U0085
0 years, male, NA, stage:T4N1M0, dead, 1698 days
78.3
U0121
0 years, male, NA, stage:T4N2M0, alive, 655 days
78.3
U0993
0 years, male, NA, stage:T4N2M0, alive, 1267 days
78.2
U2889
0 years, male, NA, stage:T4N0M0, alive, 623 days
77.9
U3012
0 years, male, NA, stage:T3N0M0, alive, 472 days
77.4
U1474
0 years, female, NA, stage:T1N0MX, alive, 2012 days
76.8
U1160
0 years, male, NA, stage:T3N1M0, alive, 1557 days
76.7
U0354
0 years, male, NA, stage:T3N1M0, alive, 430 days
76.4
U0269
0 years, female, NA, stage:T3N0M0, alive, 2530 days
75.7
U0394
0 years, male, NA, stage:T2N1M0, alive, 969 days
74.2
U0373
0 years, female, NA, stage:T3N0M0, alive, 1822 days
73.6
U0413
0 years, male, NA, stage:T2N0M0, alive, 1228 days
73.2
U0399
0 years, female, NA, stage:T4N2M0, dead, 547 days
73.0
U0270
0 years, female, NA, stage:T1N0M0, alive, 2187 days
72.9
U0377
0 years, female, NA, stage:T3N2M0, alive, 3720 days
72.3
U0323
0 years, male, NA, stage:T2N0M0, dead, 1016 days
72.2
U1062
0 years, female, NA, stage:T4N0M0, alive, 1689 days
72.1
U0075
0 years, male, NA, stage:T3N0M0, dead, 3 days
72.1
U0361
0 years, male, NA, stage:T3N0M0, alive, 686 days
71.4
U1212
0 years, female, NA, stage:T2N0M0, alive, 69 days
70.9
U2956
0 years, female, NA, stage:T3N0M0, alive, 540 days
70.3
U0448
0 years, male, NA, stage:T3N2M0, alive, 3615 days
70.1
U0142
0 years, female, NA, stage:T4N1M0, alive, 2340 days
69.9
U0167
0 years, male, NA, stage:T3N1M0, alive, 1820 days
69.7
U0215
0 years, male, NA, stage:T3N0M0, alive, 1269 days
69.4
U0260
0 years, male, NA, stage:T1N0M1, alive, 2928 days
69.4
U3034
0 years, female, NA, stage:T3N1M0, alive, 443 days
69.0
U0151
0 years, female, NA, stage:T3N0M0, alive, 2014 days
68.7
U0385
0 years, male, NA, stage:T3N0M0, alive, 902 days
68.4
U2975
0 years, male, NA, stage:T4N1M0, alive, 514 days
68.2
U3008
0 years, female, NA, stage:T2N0M0, alive, 473 days
68.2
U0459
0 years, female, NA, stage:T3N0M0, alive, 966 days
67.8
U0435
0 years, female, NA, stage:T2N0M0, alive, 3616 days
66.8
U1017
0 years, male, NA, stage:T3N0M0, alive, 615 days
66.8
U0465
0 years, male, NA, stage:T3N0M0, alive, 2383 days
66.6
U0195
0 years, male, NA, stage:T3N0M0, alive, 3326 days
66.4
U3048
0 years, male, NA, stage:T4N2M0, alive, 535 days
66.2
U0316
0 years, male, NA, stage:T3N2M0, alive, 2012 days
66.2
U0474
0 years, male, NA, stage:T3N1M0, alive, 1017 days
65.8
U1208
0 years, female, NA, stage:T1N0M0, alive, 834 days
65.6
U1317
0 years, male, NA, stage:T4N1M0, alive, 965 days
64.0
U0098
0 years, male, NA, stage:T3N0M0, dead, 2473 days
62.9
U0451
0 years, female, NA, stage:T4N2M0, alive, 3023 days
62.6
U0972
0 years, female, NA, stage:T1N0M0, alive, 2473 days
62.3
U2780
0 years, male, NA, stage:T3N0M0, alive, 778 days
62.2
U0390
0 years, male, NA, stage:T3N1M0, alive, 871 days
60.8
U0112
0 years, female, NA, stage:T3N0M1, alive, 551 days
60.5
U0469
0 years, male, NA, stage:T3N0M0, dead, 409 days
60.4
U1291
0 years, female, NA, stage:T3N0M0, alive, 2000 days
60.4
U0313
0 years, male, NA, stage:T4N1M0, dead, 1142 days
60.2
U0227
0 years, female, NA, stage:T4N2M0, alive, 291 days
60.2
U0148
0 years, male, NA, stage:T3N0M0, alive, 1780 days
59.1
U0110
0 years, female, NA, stage:T3N1M1, dead, 878 days
58.9
U0289
0 years, female, NA, stage:T3N0M0, alive, 3511 days
58.5
U0378
0 years, female, NA, stage:T4N1M0, dead, 815 days
58.4
U0433
0 years, male, NA, stage:T4N1M1, dead, 440 days
57.9
U2979
0 years, male, NA, stage:T3N2M0, alive, 616 days
57.7
U2891
0 years, male, NA, stage:T3N1M0, alive, 619 days
57.2
U0095
0 years, male, NA, stage:T4N1M0, dead, 1034 days
56.5
U0073
0 years, male, NA, stage:T4N0MX, dead, 318 days
56.1
U1369
0 years, male, NA, stage:T3N0M0, dead, 1604 days
55.9
U1059
0 years, male, NA, stage:T3N1M0, alive, 2790 days
55.9
U0134
0 years, male, NA, stage:T3N0M0, alive, 2009 days
55.8
U0117
0 years, female, NA, stage:T2N0M0, dead, 1078 days
55.8
U0340
0 years, female, NA, stage:T4N2M1, dead, 438 days
55.2
U1099
0 years, female, NA, stage:T3N0M0, alive, 2068 days
55.0
U0067
0 years, female, NA, stage:T3N0M0, alive, 2180 days
54.8
U0240
0 years, female, NA, stage:T3N1M0, dead, 800 days
54.3
U0103
0 years, female, NA, stage:T3N1M0, alive, 1197 days
54.1
U0472
0 years, male, NA, stage:TXN2M0, alive, 542 days
53.6
U0082
0 years, female, NA, stage:T3N1M0, dead, 2339 days
53.4
U0352
0 years, female, NA, stage:T4N2M0, dead, 385 days
53.3
U0004
0 years, female, NA, stage:T4N0M0, alive, 3649 days
52.7
U1432
0 years, female, NA, stage:T3N1M0, alive, 577 days
52.7
U0426
0 years, male, NA, stage:T3N0M0, dead, 976 days
52.2
U0446
0 years, male, NA, stage:T2N0M0, alive, 1446 days
51.8
U0397
0 years, male, NA, stage:T4N0M0, alive, 1663 days
50.2
U3042
0 years, male, NA, stage:T3N0M0, alive, 324 days
49.9
U0934
0 years, female, NA, stage:T3N0M0, alive, 1185 days
49.9
U0244
0 years, female, NA, stage:T3N1M0, alive, 3184 days
49.6
U0966
0 years, male, NA, stage:T4N0M0, dead, 1513 days
48.7
U0208
0 years, female, NA, stage:T3N1M0, dead, 1233 days
48.0
U0320
0 years, female, NA, stage:T4N2M1, alive, 188 days
47.9
U0234
0 years, male, NA, stage:T1N1M0, alive, 990 days
47.6
U1031
0 years, male, NA, stage:T1N1M0, alive, 1625 days
47.6
U0280
0 years, male, NA, stage:T3N1M1, alive, 2731 days
46.6
U2953
0 years, female, NA, stage:T4aN0M0, alive, 541 days
46.4
U0401
0 years, male, NA, stage:T4N1M0, alive, 1715 days
46.4
U0319
0 years, male, NA, stage:T3N0M0, alive, 2801 days
46.3
U0089
0 years, female, NA, stage:T1NXM0, dead, 2365 days
46.3
U0942
0 years, male, NA, stage:T3N0M0, alive, 665 days
46.3
U0381
0 years, male, NA, stage:T3N1M0, dead, 71 days
46.2
U0929
0 years, male, NA, stage:T4N1M0, alive, 436 days
46.2
U1122
0 years, female, NA, stage:T3N2M0, alive, 1675 days
44.4
U0473
0 years, male, NA, stage:T3N1M0, alive, 786 days
44.1
U0308
0 years, male, NA, stage:T4N1M0, alive, 1075 days
43.7
U0328
0 years, male, NA, stage:T4N0M0, dead, 1362 days
43.6
U1246
0 years, female, NA, stage:T3N0M0, alive, 1441 days
42.5
U0349
0 years, male, NA, stage:T3N1M0, alive, 2682 days
42.4
U1201
0 years, male, NA, stage:T3N2M0, alive, 1484 days
42.1
U1304
0 years, female, NA, stage:TXNXM0, alive, 1081 days
40.8
U0464
0 years, male, NA, stage:T3N0M0, alive, 918 days
39.7
U2819
0 years, female, NA, stage:T3N0M0, alive, 708 days
38.9
U2971
0 years, male, NA, stage:T4aN0M0, alive, 629 days
38.7
U0127
0 years, female, NA, stage:T3N0M0, dead, 2753 days
38.4
U0306
0 years, male, NA, stage:T3N1M0, dead, 717 days
38.4
U1007
0 years, male, NA, stage:T3N0M0, alive, 1333 days
37.7
U0471
0 years, female, NA, stage:T3N1M0, alive, 1673 days
37.3
U1114
0 years, female, NA, stage:TXNXM1, dead, 473 days
37.0
U0094
0 years, female, NA, stage:T3N2M0, alive, 741 days
36.9
U1040
0 years, male, NA, stage:T2N0M0, alive, 1029 days
36.6
U0203
0 years, male, NA, stage:T3N0M0, dead, 827 days
35.7
U0367
0 years, female, NA, stage:T3N1M0, alive, 3075 days
35.5
U0248
0 years, male, NA, stage:T3N0M0, alive, 1870 days
35.1
U0427
0 years, male, NA, stage:T2N0M0, alive, 1193 days
34.3
U1046
0 years, female, NA, stage:T4N2M1, dead, 697 days
33.8
U0384
0 years, male, NA, stage:T2N1M1, alive, 1024 days
33.5
U0915
0 years, female, NA, stage:T3N0M0, alive, 1613 days
33.4
U1347
0 years, female, NA, stage:T3N0M0, alive, 1401 days
33.4
U0125
0 years, female, NA, stage:T1N0M0, dead, 668 days
32.9
U2948
0 years, female, NA, stage:T3N1M0, alive, 543 days
32.7
U0262
0 years, female, NA, stage:T2N0M0, alive, 2534 days
32.4
U0342
0 years, male, NA, stage:T4N2M0, alive, 305 days
32.2
U0235
0 years, female, NA, stage:T3N0M0, alive, 1327 days
32.2
U2942
0 years, male, NA, stage:T2N0M0, alive, 549 days
32.1
U0263
0 years, female, NA, stage:T3N0M1, alive, 362 days
31.8
U1158
0 years, female, NA, stage:T3N1M0, alive, 721 days
31.6
U1343
0 years, female, NA, stage:T4N2M0, alive, 3178 days
31.5
U1264
0 years, female, NA, stage:T3N0M0, dead, 1583 days
31.4
U2928
0 years, male, NA, stage:T2N0M0, alive, 563 days
31.1
U0991
0 years, male, NA, stage:T4N2M0, dead, 534 days
30.5
U0156
0 years, female, NA, stage:T4N1M0, alive, 1573 days
30.2
U1102
0 years, male, NA, stage:T2N0M0, alive, 1354 days
30.0
U0152
0 years, male, NA, stage:T3N1M0, alive, 989 days
29.8
U0379
0 years, male, NA, stage:T2N0M0, alive, 1819 days
29.4
U0389
0 years, female, NA, stage:T3N1M0, dead, 927 days
29.4
U1235
0 years, female, NA, stage:T2N0M0, alive, 1319 days
29.0
U0229
0 years, female, NA, stage:TXN2M1, dead, 2115 days
28.9
U0414
0 years, male, NA, stage:T3N0M0, alive, 1691 days
28.5
U1104
0 years, female, NA, stage:T4N0M0, alive, 1109 days
28.1
U0250
0 years, female, NA, stage:T4N0M0, dead, 906 days
25.7
U1130
0 years, male, NA, stage:T2N1M0, alive, 913 days
25.2
U2803
0 years, male, NA, stage:T3N1M0, alive, 744 days
24.0
U0135
0 years, female, NA, stage:T3N0M0, alive, 1738 days
23.9
U0436
0 years, male, NA, stage:T4N1M1, alive, 960 days
23.9
U0239
0 years, male, NA, stage:T2N0M0, alive, 67 days
23.1
U0365
0 years, female, NA, stage:T4N1M0, dead, 313 days
22.8
U0392
0 years, male, NA, stage:T3N2M0, alive, 489 days
22.8
U0124
0 years, female, NA, stage:T1N0M0, alive, 2430 days
21.3
U0376
0 years, male, NA, stage:T2N1M0, alive, 965 days
20.3
U0429
0 years, female, NA, stage:T3N0M1, alive, 1099 days
19.9
U0462
0 years, female, NA, stage:T4N1M0, alive, 1017 days
19.2
U0211
0 years, female, NA, stage:T3N1M0, alive, 1236 days
19.0
U0063
0 years, male, NA, stage:T1N0M0, dead, 1779 days
19.0
U1095
0 years, female, NA, stage:T3N1M1, alive, 2425 days
18.5
U0157
0 years, male, NA, stage:T4N0M0, dead, 131 days
18.5
U0347
0 years, female, NA, stage:T4N1M1, alive, 628 days
18.1
U0369
0 years, female, NA, stage:T3N0M0, dead, 1095 days
17.9
U0166
0 years, female, NA, stage:T3N0M0, alive, 763 days
17.2
U2815
0 years, female, NA, stage:T3N0M0, alive, 717 days
17.0
U0300
0 years, male, NA, stage:T2N0M0, alive, 974 days
16.9
U2798
0 years, male, NA, stage:T3N0M0, alive, 751 days
16.7
U0967
0 years, male, NA, stage:T2N0M0, dead, 1691 days
16.7
U0169
0 years, male, NA, stage:T4N2M0, alive, 616 days
14.9
U0960
0 years, male, NA, stage:T3N0M0, alive, 1009 days
14.8
U0288
0 years, male, NA, stage:T1N0M0, alive, 1513 days
14.1
U0356
0 years, male, NA, stage:T4N1M0, alive, 536 days
14.0
U3022
0 years, male, NA, stage:T2N0M0, alive, 484 days
13.5
U0278
0 years, female, NA, stage:T2N0M0, alive, 763 days
12.8
U0185
0 years, male, NA, stage:T1N0M0, alive, 1248 days
12.6
U0336
0 years, female, NA, stage:T3N0M0, alive, 1100 days
12.4
U1155
0 years, male, NA, stage:T4N1M0, alive, 1815 days
11.7
U0225
0 years, male, NA, stage:T3N1M0, alive, 581 days
11.3
U0107
0 years, male, NA, stage:T3N0M0, dead, 2354 days
11.0
U0078
0 years, female, NA, stage:T3N0M0, alive, 1183 days
11.0
U0104
0 years, female, NA, stage:T4N0M0, dead, 1639 days
10.9
U1447
0 years, male, NA, stage:T4N1M0, alive, 988 days
10.8
U2856
0 years, female, NA, stage:T4N1M1, alive, 660 days
10.8
U0224
0 years, female, NA, stage:T3N0M0, alive, 2367 days
9.3
U0400
0 years, male, NA, stage:T4N0M0, dead, 1073 days
6.3
U2958
0 years, female, NA, stage:T1N0M0, alive, 536 days
5.3
U0999
0 years, male, NA, stage:T3N2M0, alive, 860 days
4.9
U1472
0 years, female, NA, stage:T3N1M0, alive, 1316 days
3.8
U0326
0 years, female, NA, stage:T3N0M0, alive, 3178 days
3.3
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.
C3 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
53.8
Number of samples
88
Samples
Sample
Description
TPM
TCGA-AF-2690-01A
0 years, female, white, stage:Stage IIIC, dead, 524 days
427.3
TCGA-EI-7004-01A
0 years, female, white, stage:'--, alive, 257 days
325.3
TCGA-F5-6465-01A
0 years, female, white, stage:Stage IIA, alive, 1506 days
279.4
TCGA-DC-6158-01A
0 years, male, white, stage:Stage I, dead, 334 days
272.1
TCGA-AF-2687-01A
0 years, male, white, stage:Stage IIIC, alive, 1427 days
215.8
TCGA-DC-6156-01A
0 years, male, white, stage:Stage IVA, alive, 943 days
202.2
TCGA-F5-6864-01A
0 years, female, white, stage:Stage IIIB, alive, 379 days
159.9
TCGA-F5-6812-01A
0 years, male, white, stage:Stage IIA, alive, 1110 days
149.4
TCGA-F5-6571-01A
0 years, female, white, stage:Stage IIA, alive, 1288 days
139.8
TCGA-G5-6572-01A
0 years, male, white, stage:'--, dead, 1432 days
128.8
TCGA-AG-3731-01A
0 years, male, stage:Stage IV, alive, 1126 days
126.7
TCGA-F5-6813-01A
0 years, male, white, stage:Stage IIIC, dead, 598 days
104.9
TCGA-F5-6464-01A
0 years, female, white, stage:Stage IIIC, dead, 303 days
104.8
TCGA-AH-6547-01A
0 years, female, white, stage:'--, dead, 76 days
99.8
TCGA-AG-4022-01A
0 years, female, stage:Stage II, alive, 1400 days
97.2
TCGA-AH-6644-01A
0 years, male, white, stage:'--, alive, 838 days
93.0
TCGA-F5-6811-01A
0 years, female, white, stage:Stage IIA, alive, 979 days
91.7
TCGA-AG-3732-01A
0 years, female, stage:Stage I, alive, 1003 days
84.5
TCGA-DC-6681-01A
0 years, female, white, stage:Stage IVA, alive, 790 days
74.5
TCGA-EI-6507-01A
0 years, male, white, stage:Stage IIA, alive, 607 days
64.7
TCGA-BM-6198-01A
0 years, male, white, stage:Stage IIIB, alive, 646 days
63.1
TCGA-F5-6702-01A
0 years, male, white, stage:Stage IVA, dead, 869 days
58.0
TCGA-DC-6683-01A
0 years, male, white, stage:Stage IIIB, alive, 762 days
56.9
TCGA-AF-6655-01A
0 years, male, white, stage:Stage IIIA, alive, 609 days
54.9
TCGA-DC-5869-01A
0 years, female, black or african american, stage:Stage IIIB, alive, 943 days
52.8
TCGA-AF-A56K-01A
0 years, male, black or african american, stage:Stage IIA, alive, 2635 days
52.5
TCGA-CI-6621-01A
0 years, male, white, stage:Stage IIIB, alive, 419 days
49.0
TCGA-EI-6511-01A
0 years, male, white, stage:Stage IIIB, alive, 482 days
48.7
TCGA-EI-6884-01A
0 years, male, white, stage:Stage IIIA, alive, 328 days
48.1
TCGA-EI-6885-01A
0 years, female, white, stage:Stage IV, alive, 415 days
46.0
TCGA-EI-6917-01A
0 years, male, white, stage:Stage IIIA, alive, 531 days
44.0
TCGA-EI-7002-01A
0 years, male, white, stage:Stage IV, alive, 364 days
43.1
TCGA-AG-3902-01A
0 years, male, stage:Stage IIA, alive, 974 days
42.7
TCGA-DC-6157-01A
0 years, male, black or african american, stage:Stage I, alive, 1581 days
41.2
TCGA-EI-6883-01A
0 years, male, white, stage:Stage IIC, alive, 350 days
40.4
TCGA-AF-A56N-01A
0 years, female, black or african american, stage:Stage IIA, alive, 360 days
38.4
TCGA-EI-6514-01A
0 years, female, white, stage:Stage IIA, alive, 496 days
36.8
TCGA-DT-5265-01A
0 years, male, asian, stage:Stage II, alive, 384 days
34.2
TCGA-AF-6136-01A
0 years, female, white, stage:Stage IIIB, alive, 741 days
31.9
TCGA-DY-A0XA-01A
0 years, female, white, stage:Stage IIA, alive, 3846 days
31.7
TCGA-DC-6154-01A
0 years, female, white, stage:Stage IVA, alive, 365 days
29.9
TCGA-EF-5831-01A
0 years, male, white, stage:Stage IIA, alive, 127 days
27.4
TCGA-AF-4110-01A
0 years, male, white, stage:Stage IVA, alive, 912 days
25.1
TCGA-F5-6861-01A
0 years, female, white, stage:Stage IIA, alive, 1160 days
24.9
TCGA-EI-6508-01A
0 years, female, white, stage:Stage IIIB, alive, 636 days
23.8
TCGA-DY-A1DC-01A
0 years, female, white, stage:Stage IIA, dead, 1258 days
22.6
TCGA-CI-6620-01A
0 years, female, white, stage:Stage IVA, alive, 1009 days
22.1
TCGA-AG-3592-01A
0 years, male, stage:Stage IIA, alive, 1035 days
20.5
TCGA-AH-6643-01A
0 years, male, white, stage:Stage IIIC, dead, 1314 days
20.3
TCGA-AH-6549-01A
0 years, male, white, stage:'--, alive, 532 days
19.6
TCGA-AF-3911-01A
0 years, male, white, stage:Stage IIIC, alive, 1148 days
19.3
TCGA-AF-2693-01A
0 years, male, white, stage:Stage I, alive, 1155 days
17.6
TCGA-AG-3742-01A
0 years, female, stage:Stage I, alive, 30 days
16.7
TCGA-AG-4021-01A
0 years, female, stage:Stage IV, dead, 121 days
16.3
TCGA-DY-A1DE-01A
0 years, female, white, stage:Stage IIA, alive, 3932 days
15.6
TCGA-EF-5830-01A
0 years, male, white, stage:Stage IIB, alive, 106 days
15.0
TCGA-AF-A56L-01A
0 years, female, black or african american, stage:Stage IIIC, alive, 2007 days
14.4
TCGA-EI-6881-01A
0 years, male, white, stage:Stage IIIA, alive, 499 days
14.3
TCGA-EI-6510-01A
0 years, female, white, stage:'--, alive, 556 days
13.7
TCGA-F5-6863-01A
0 years, female, white, stage:Stage IIIB, dead, 361 days
13.5
TCGA-AF-6672-01A
0 years, male, white, stage:Stage IV, alive, 748 days
13.4
TCGA-DC-4749-01A
0 years, male, white, stage:Stage I, alive, 762 days
12.8
TCGA-EI-6512-01A
0 years, female, white, stage:Stage IIIB, alive, 538 days
12.6
TCGA-EI-6513-01A
0 years, male, white, stage:Stage IIIB, alive, 497 days
11.9
TCGA-CL-5917-01A
0 years, female, white, stage:Stage IIIC, alive, 2376 days
9.8
TCGA-EI-6882-01A
0 years, male, white, stage:Stage IIA, alive, 262 days
9.5
TCGA-AF-5654-01A
0 years, female, white, stage:Stage I, dead, 512 days
9.4
TCGA-DC-4745-01A
0 years, female, white, stage:Stage IIIB, alive, 639 days
9.2
TCGA-DC-5337-01A
0 years, male, white, stage:Stage I, alive, 792 days
8.3
TCGA-G5-6235-01A
0 years, male, white, stage:Stage IIIB, alive, 1696 days
8.1
TCGA-EI-6506-01A
0 years, female, white, stage:Stage IIA, alive, 625 days
7.9
TCGA-AH-6903-01A
0 years, male, white, stage:Stage IIIB, alive, 592 days
7.4
TCGA-F5-6814-01A
0 years, male, white, stage:Stage IIA, alive, 1131 days
7.1
TCGA-DC-6160-01A
0 years, male, white, stage:Stage I, alive, 1339 days
7.0
TCGA-CI-6622-01A
0 years, male, white, stage:Stage IIB, alive, 1362 days
6.5
TCGA-AH-6897-01A
0 years, male, white, stage:Stage I, alive, 804 days
6.5
TCGA-EI-6509-01A
0 years, male, white, stage:Stage IIIC, alive, 517 days
5.3
TCGA-DY-A1DD-01A
0 years, female, white, stage:Stage IIIB, dead, 1741 days
5.0
TCGA-G5-6233-01A
0 years, male, white, stage:'--, dead, 556 days
4.9
TCGA-G5-6641-01A
0 years, male, white, stage:Stage IIIA, alive, 804 days
4.7
TCGA-CL-4957-01A
0 years, female, stage:'--, dead, 425 days
4.4
TCGA-AG-3591-01A
0 years, female, stage:Stage IIA, alive, 1035 days
4.1
TCGA-DC-6682-01A
0 years, male, white, stage:Stage IIA, alive, 762 days
3.8
TCGA-DY-A1DG-01A
0 years, male, white, stage:Stage IVA, dead, 1566 days
3.6
TCGA-AH-6544-01A
0 years, male, white, stage:'--, alive, 1173 days
3.2
TCGA-DY-A1H8-01A
0 years, female, white, stage:Stage IIIA, dead, 992 days
2.3
TCGA-DY-A1DF-01A
0 years, female, white, stage:Stage IIIC, dead, 734 days
2.0
TCGA-DC-6155-01A
0 years, female, white, stage:Stage IIIA, alive, 425 days
The Survival Scatter plot shows the clinical status (i.e. dead or alive) for all individuals in the patient cohort, based on the same data that underlies the corresponding Kaplan-Meier plots. Patients that are alive at last time for follow-up are shown in blue and patients who have died during the study are shown in red.
The x-axis shows the expression levels (FPKM) of the investigated gene in the tumor tissue at the time of diagnosis. The y-axis shows the follow-up time after diagnosis (years). Both axes are complimented with kernel density curves demonstrating the data density over the axes. The top density plot shows the expression levels (FPKM) distribution among dead (red) and alive patients (blue). The right density plot shows the data density of the survived years of dead patients with high and low expression levels respectively, stratified using the cutoff indicated by the vertical dashed line through the Survival Scatter plot. This cutoff is automatically defined based on the FPKM cutoff that minimizes the p-score. The cutoff can be changed by dragging the vertical line or by entering a cutoff value in the square labeled "Current cut-off".
Under the Survival Scatter plot the p-score landscape (black curve; left axis) is shown together with dead median separation (red curve; right axis). Dead median separation is the difference in median mRNA expression between patients who have died with high and low expression, respectively. It is calculated as follows: median FPKM expression of dead patients with high expression - median FPKM expression of dead patients with low expression. This is intended to aid the user in visually exploring custom cutoffs and the associated p-scores and dead median separation.
Individual patient data is displayed and can be filtered by clicking on one or more of the category buttons on the top of the page. Categories describing expression level and patient information include: high, low, alive, dead, female, male and tumor stages. The scale of the x-axis can be toggled between linear and log-scale by clicking on the "x log" button. Mouse-over function shows TCGA ID, patient information and mRNA expression (FPKM) for each patient.
& Survival analysisi
Kaplan-Meier plots summarize results from analysis of correlation between mRNA expression level and patient survival. Patients were divided based on level of expression into one of the two groups "low" (under cut off) or "high" (over cut off). X-axis shows time for survival (years) and y-axis shows the probability of survival, where 1.0 corresponds to 100 percent.
C3 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
125.0
Number of samples
207
Samples
Sample
Description
TPM
U0271
0 years, female, NA, stage:T3N1M0, alive, 2414 days
897.5
U0572
0 years, female, NA, stage:T3N1M0, alive, 2621 days
598.3
U0118
0 years, female, NA, stage:T3N2M0, dead, 350 days
545.9
U0173
0 years, male, NA, stage:T2N0M0, dead, 2375 days
524.0
U0138
0 years, male, NA, stage:T3N1M0, dead, 2472 days
470.3
U0604
0 years, male, NA, stage:T3N1M0, alive, 1522 days
448.6
U2834
0 years, male, NA, stage:T3N1M0, alive, 323 days
416.9
U0216
0 years, male, NA, stage:T2N0M0, alive, 2684 days
415.8
U0423
0 years, female, NA, stage:T4N2M0, alive, 2735 days
414.1
U0422
0 years, female, NA, stage:T3N2M1, dead, 1710 days
411.9
U0120
0 years, female, NA, stage:T3N0M0, alive, 3233 days
386.5
U0648
0 years, female, NA, stage:T3N0M0, alive, 1415 days
373.2
U0190
0 years, male, NA, stage:T3N0M0, alive, 2367 days
370.7
U0159
0 years, female, NA, stage:T3N1M0, alive, 1517 days
355.2
U0264
0 years, male, NA, stage:T4N2M0, alive, 2020 days
352.9
U0647
0 years, female, NA, stage:T3N0M0, alive, 1476 days
337.8
U0602
0 years, male, NA, stage:T2N0M0, alive, 1385 days
336.6
U0713
0 years, male, NA, stage:T2N0M0, alive, 359 days
317.7
U0402
0 years, female, NA, stage:T3N1M0, dead, 2487 days
280.5
U0305
0 years, male, NA, stage:T3N1M0, alive, 2676 days
270.8
U0242
0 years, male, NA, stage:T3N0M0, alive, 2950 days
258.6
U2836
0 years, male, NA, stage:T3N0M0, alive, 322 days
256.4
U0371
0 years, female, NA, stage:T3N0M0, alive, 2688 days
251.8
U0097
0 years, male, NA, stage:T3N0M1, dead, 2903 days
247.7
U0534
0 years, female, NA, stage:T3N2M0, alive, 1361 days
245.0
U0637
0 years, male, NA, stage:T3N1M0, alive, 1997 days
243.0
U0695
0 years, male, NA, stage:T3N0M0, alive, 566 days
242.4
U0643
0 years, female, NA, stage:T2N1M0, dead, 1583 days
240.8
U0220
0 years, male, NA, stage:T2N0M0, alive, 1066 days
240.5
U0552
0 years, male, NA, stage:T3N2M0, alive, 1701 days
238.3
U0434
0 years, male, NA, stage:T2N0M0, alive, 2558 days
234.4
U0192
0 years, male, NA, stage:T3N0M0, alive, 2081 days
234.1
U0388
0 years, male, NA, stage:T2N1M0, alive, 2186 days
231.7
U0649
0 years, male, NA, stage:T2N0M0, alive, 1424 days
224.8
U0339
0 years, male, NA, stage:T3N2M0, alive, 2155 days
223.6
U0776
0 years, male, NA, stage:T4N2M0, alive, 1702 days
221.9
U0857
0 years, male, NA, stage:T4N2M1, dead, 954 days
218.3
U0596
0 years, male, NA, stage:T3N0M0, alive, 2233 days
215.4
U0454
0 years, male, NA, stage:T3N1M0, alive, 2997 days
211.2
U0565
0 years, male, NA, stage:T4N1M0, alive, 1452 days
208.7
U2972
0 years, male, NA, stage:T3N0M0, alive, 161 days
203.4
U3023
0 years, female, NA, stage:T2N0M0, alive, 404 days
202.9
U0137
0 years, male, NA, stage:T3N1M0, dead, 1799 days
198.4
U0584
0 years, male, NA, stage:T3N2M0, alive, 2705 days
197.2
U0642
0 years, male, NA, stage:T3N0M0, alive, 1603 days
194.6
U0533
0 years, male, NA, stage:T3N2M0, alive, 2248 days
194.1
U0478
0 years, male, NA, stage:T4N2M0, alive, 2051 days
188.2
U0497
0 years, female, NA, stage:T3N1M0, alive, 1414 days
187.1
U0407
0 years, male, NA, stage:T3N1M0, dead, 2027 days
186.7
U0512
0 years, male, NA, stage:T3N0M0, alive, 2550 days
181.0
U0116
0 years, male, NA, stage:T3N1M0, dead, 930 days
178.0
U0325
0 years, male, NA, stage:T3N0M0, dead, 1947 days
177.3
U0296
0 years, male, NA, stage:T3N0M0, alive, 2610 days
177.0
U0409
0 years, female, NA, stage:T3N1M0, alive, 934 days
176.5
U2761
0 years, female, NA, stage:T3N1M0, alive, 447 days
169.5
U3047
0 years, male, NA, stage:T3N2M0, alive, 205 days
164.9
U0430
0 years, male, NA, stage:T3N2M0, dead, 2472 days
157.2
U0174
0 years, male, NA, stage:T3N0M0, alive, 450 days
156.3
U0086
0 years, female, NA, stage:T3N1M0, dead, 594 days
154.6
U0380
0 years, male, NA, stage:T2N0M0, alive, 2155 days
153.6
U0457
0 years, male, NA, stage:T3N0M0, alive, 833 days
152.6
U0282
0 years, male, NA, stage:T3N2M0, dead, 1869 days
149.8
U0343
0 years, female, NA, stage:T2N0M0, alive, 701 days
139.3
U0311
0 years, female, NA, stage:T3N1M0, alive, 1176 days
138.5
U0675
0 years, female, NA, stage:T4N1M0, dead, 89 days
138.2
U0538
0 years, female, NA, stage:T3N1M0, alive, 1308 days
132.0
U0542
0 years, male, NA, stage:T3N2M0, dead, 1482 days
125.2
U0577
0 years, female, NA, stage:T3N2M0, alive, 2474 days
124.1
U0638
0 years, male, NA, stage:T2N0M0, alive, 1801 days
122.8
U0707
0 years, male, NA, stage:T3N1M0, alive, 518 days
122.1
U0194
0 years, male, NA, stage:T3N1M0, alive, 680 days
121.8
U0079
0 years, male, NA, stage:T4N2M0, dead, 1891 days
119.6
U2955
0 years, male, NA, stage:T3N1M0, alive, 181 days
113.2
U0485
0 years, male, NA, stage:T3N0M0, dead, 2737 days
112.4
U0466
0 years, male, NA, stage:T3N0M0, alive, 1381 days
111.8
U0241
0 years, female, NA, stage:T2N1M0, alive, 552 days
111.6
U0657
0 years, female, NA, stage:T2N0M0, dead, 1109 days
108.9
U0237
0 years, male, NA, stage:T3N1M0, alive, 2492 days
108.4
U0581
0 years, female, NA, stage:T3N2M0, alive, 1660 days
106.5
U0545
0 years, male, NA, stage:T3N0M0, alive, 2340 days
105.9
U0502
0 years, male, NA, stage:T4N1M0, alive, 1065 days
105.7
U0188
0 years, female, NA, stage:T3N1M0, alive, 2134 days
104.7
U0800
0 years, male, NA, stage:T3N2M1, dead, 411 days
99.4
U0255
0 years, female, NA, stage:T3N2M0, dead, 1079 days
95.4
U0579
0 years, female, NA, stage:T4aN0M0, alive, 2845 days
94.2
U0322
0 years, male, NA, stage:T4N2M0, alive, 1694 days
94.0
U0601
0 years, female, NA, stage:T4N1M0, alive, 1368 days
93.7
U0415
0 years, male, NA, stage:T3N1M0, alive, 2526 days
93.1
U0594
0 years, male, NA, stage:T3N0M0, alive, 2852 days
92.0
U0498
0 years, female, NA, stage:T4N1M0, alive, 1906 days
91.2
U0238
0 years, male, NA, stage:T3N0M0, dead, 868 days
90.4
U0519
0 years, male, NA, stage:T4N2M0, dead, 519 days
90.0
U0587
0 years, male, NA, stage:T3N1M0, alive, 2107 days
88.8
U0578
0 years, male, NA, stage:T2N2M0, alive, 1724 days
88.7
U0861
0 years, female, NA, stage:T4N2M1, dead, 184 days
88.5
U0132
0 years, male, NA, stage:T3N1M0, alive, 1798 days
87.2
U0484
0 years, male, NA, stage:T4N2M0, alive, 1275 days
85.7
U0298
0 years, male, NA, stage:T3N1M0, alive, 513 days
85.6
U0140
0 years, male, NA, stage:T3N2M0, alive, 2655 days
84.2
U0532
0 years, male, NA, stage:T3N0M0, dead, 730 days
83.3
U0096
0 years, female, NA, stage:T4N2M1, dead, 257 days
80.5
U0468
0 years, female, NA, stage:T3N0M0, alive, 1921 days
79.6
U0155
0 years, male, NA, stage:T2N0M0, dead, 1672 days
79.2
U0334
0 years, male, NA, stage:T3N1M0, alive, 3171 days
78.7
U0232
0 years, female, NA, stage:T2N0M0, dead, 994 days
77.4
U0030
0 years, female, NA, stage:T2N0M0, dead, 987 days
77.3
U0279
0 years, male, NA, stage:T2N1M0, dead, 176 days
76.8
U0865
0 years, female, NA, stage:T3N1M1, dead, 856 days
76.7
U2779
0 years, male, NA, stage:T3N0M0, alive, 419 days
76.2
U0258
0 years, male, NA, stage:T4N1M2, dead, 195 days
75.5
U2764
0 years, male, NA, stage:T3N2M0, alive, 440 days
73.9
U0001
0 years, female, NA, stage:T3N0M0, alive, 3188 days
73.5
U0656
0 years, male, NA, stage:T3N2M0, alive, 1150 days
72.5
U0205
0 years, female, NA, stage:T3N2M0, alive, 2984 days
72.4
U0405
0 years, male, NA, stage:T3N1M0, alive, 829 days
72.3
U0243
0 years, female, NA, stage:T3N2M0, alive, 2975 days
70.7
U0641
0 years, female, NA, stage:T3N0M0, dead, 1626 days
70.5
U0561
0 years, female, NA, stage:T3N2M0, alive, 1577 days
70.0
U2991
0 years, female, NA, stage:T1N0M0, alive, 135 days
69.9
U0284
0 years, male, NA, stage:T3N2M0, alive, 581 days
69.8
U0600
0 years, male, NA, stage:T3N1M0, alive, 1659 days
69.3
U0329
0 years, male, NA, stage:T3N1M0, dead, 805 days
68.9
U0640
0 years, male, NA, stage:T2N0M0, alive, 1696 days
67.3
U0553
0 years, female, NA, stage:T3N2M0, alive, 1704 days
66.9
U0820
0 years, male, NA, stage:T3NXM1, dead, 622 days
66.6
U0535
0 years, female, NA, stage:T4N1M0, alive, 2473 days
62.2
U0364
0 years, female, NA, stage:T4N2M1, dead, 151 days
62.1
U0293
0 years, male, NA, stage:T3N1M0, alive, 2717 days
62.0
U0437
0 years, male, NA, stage:T1N1M0, alive, 849 days
61.7
U0645
0 years, male, NA, stage:T3N0M0, alive, 1567 days
60.9
U0331
0 years, male, NA, stage:T3N1M1, dead, 906 days
59.5
U3049
0 years, male, NA, stage:T2N0M0, alive, 533 days
59.4
U0213
0 years, male, NA, stage:T3N1M0, alive, 3018 days
59.2
U2994
0 years, female, NA, stage:T4N1M0, alive, 132 days
58.6
U0592
0 years, female, NA, stage:T2N0M0, dead, 670 days
57.9
U0492
0 years, male, NA, stage:T3N2M0, alive, 1114 days
57.1
U0593
0 years, male, NA, stage:T4bN0M0, alive, 876 days
56.2
U2943
0 years, male, NA, stage:T3N0M0, alive, 189 days
56.0
U2960
0 years, male, NA, stage:T3N1M0, alive, 176 days
54.5
U0470
0 years, female, NA, stage:T2N2M0, alive, 961 days
54.5
U0654
0 years, male, NA, stage:T3N2M0, alive, 1220 days
53.8
U0809
0 years, female, NA, stage:T3N1M1, dead, 275 days
53.5
U0351
0 years, female, NA, stage:T3N2M0, alive, 2886 days
51.7
U0230
0 years, female, NA, stage:T1N1M0, alive, 3152 days
50.8
U0077
0 years, female, NA, stage:T2N0M0, dead, 588 days
49.1
U0353
0 years, female, NA, stage:T1N0M0, alive, 2912 days
48.6
U0558
0 years, female, NA, stage:T3N2M0, alive, 2011 days
47.4
U0557
0 years, female, NA, stage:T3N2M0, alive, 2009 days
47.4
U0663
0 years, female, NA, stage:T3N1M0, alive, 762 days
46.5
U0514
0 years, female, NA, stage:T2N2M0, alive, 2799 days
46.5
U0088
0 years, male, NA, stage:T3N1M1, dead, 260 days
46.2
U0324
0 years, female, NA, stage:T4N1M0, alive, 938 days
45.7
U0803
0 years, female, NA, stage:T3N1M1, dead, 495 days
45.5
U0294
0 years, male, NA, stage:T4N0M1, alive, 561 days
45.0
U0666
0 years, male, NA, stage:T3N1M0, alive, 709 days
45.0
U0568
0 years, male, NA, stage:T4N1M0, alive, 1287 days
44.3
U0093
0 years, male, NA, stage:T3N2M0, dead, 1118 days
43.6
U0650
0 years, female, NA, stage:T2N2M0, alive, 1331 days
41.4
U0576
0 years, male, NA, stage:T3N2M0, alive, 2540 days
41.1
U0374
0 years, female, NA, stage:T2N0M0, alive, 1067 days
41.0
U0694
0 years, male, NA, stage:T4N0M0, dead, 489 days
40.2
U0651
0 years, male, NA, stage:T3N0M0, alive, 1354 days
39.9
U0603
0 years, male, NA, stage:T2N1M0, alive, 1904 days
39.1
U0652
0 years, male, NA, stage:T3N0M0, alive, 1319 days
36.2
U0556
0 years, male, NA, stage:T3N2M0, alive, 2037 days
36.1
U0591
0 years, male, NA, stage:T2N0M0, alive, 1023 days
35.8
U0862
0 years, male, NA, stage:T4N2M1, dead, 1064 days
35.6
U0804
0 years, female, NA, stage:T3N2M1, dead, 380 days
35.1
U0849
0 years, female, NA, stage:T4N0M1, dead, 267 days
32.9
U0793
0 years, male, NA, stage:T3N1M1, dead, 195 days
32.7
U0391
0 years, female, NA, stage:T3N0M0, alive, 1179 days
30.8
U0080
0 years, female, NA, stage:T3N0M0, dead, 489 days
30.5
U0417
0 years, female, NA, stage:T3N2M1, dead, 893 days
30.3
U0276
0 years, male, NA, stage:T3N1M1, alive, 934 days
30.0
U0658
0 years, male, NA, stage:T3N2M0, alive, 1108 days
29.6
U0802
0 years, male, NA, stage:T3N2M1, dead, 338 days
29.5
U0805
0 years, male, NA, stage:T3N1M1, dead, 731 days
28.5
U0299
0 years, female, NA, stage:T4N2M0, alive, 43426 days
28.5
U0539
0 years, male, NA, stage:T4N2M0, alive, 2017 days
27.7
U0555
0 years, male, NA, stage:T3N2M0, alive, 2043 days
26.0
U0511
0 years, female, NA, stage:T3N0M0, dead, 2387 days
25.2
U0686
0 years, female, NA, stage:T4bN0M0, dead, 123 days
25.1
U0359
0 years, male, NA, stage:T3N2M0, dead, 2443 days
23.8
U0848
0 years, male, NA, stage:T3N1M1, dead, 1185 days
23.8
U0147
0 years, female, NA, stage:T3N0M0, dead, 2085 days
22.9
U0114
0 years, male, NA, stage:T3N0M0, alive, 1910 days
22.8
U0431
0 years, female, NA, stage:T3N1M0, alive, 695 days
22.5
U0814
0 years, female, NA, stage:T3N1M1, dead, 482 days
21.8
U0671
0 years, male, NA, stage:T3N1M0, dead, 785 days
21.5
U0508
0 years, male, NA, stage:T3N1M0, alive, 1120 days
20.5
U0595
0 years, male, NA, stage:T2N0M0, alive, 2535 days
20.3
U0304
0 years, male, NA, stage:T3N2M0, alive, 2065 days
20.3
U0212
0 years, male, NA, stage:T3N0M1, alive, 1330 days
20.1
U0228
0 years, male, NA, stage:T2N0M0, alive, 963 days
19.8
U0494
0 years, male, NA, stage:T4N2M0, alive, 1290 days
18.9
U0550
0 years, male, NA, stage:T3N2M0, alive, 2191 days
18.1
U0251
0 years, male, NA, stage:T2N0M0, alive, 1906 days
17.5
U0128
0 years, female, NA, stage:T3N1M0, alive, 449 days
14.7
U0750
0 years, female, NA, stage:T3N2M0, dead, 1393 days
14.3
U0458
0 years, male, NA, stage:T3N2M0, alive, 1073 days
13.1
U0406
0 years, female, NA, stage:T4N2M1, dead, 778 days
12.2
U0562
0 years, female, NA, stage:T3N1M0, alive, 3092 days
12.1
U0852
0 years, male, NA, stage:T3N2M1, alive, 1651 days
12.0
U0418
0 years, male, NA, stage:T4N1M0, alive, 1246 days
9.5
U0605
0 years, male, NA, stage:T2N0M0, alive, 952 days
7.3
U0346
0 years, male, NA, stage:T4N2M0, alive, 1148 days
7.0
U0366
0 years, male, NA, stage:T3NXM1, alive, 895 days
2.9
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COLON ADENOCARCINOMA - Protein relative expression (CPTAC)
Number of samples
197
Samples
Sample ID
Sample type
nRPX
51590333-cfe5-4ce5-b8ff-58fa3c_D2
Normal
1.8
d8805fa4-30f9-4417-907e-fdc50c_D2
Normal
1.4
9a6879b1-4f78-4ac6-9fca-dad049_D2
Normal
1.4
87b0e853-43ea-4efb-8a22-dd221f_D2
Normal
1.2
4c9dcc8c-ccdc-4336-8e23-107feb_D2
Normal
1.1
233ec093-9a30-4ef4-a12c-91757e_D2
Normal
1.1
b3696374-c6c0-49dd-833e-596e26_D2
Normal
1.1
067db520-1b1f-4569-9414-e37a6e_D2
Normal
1.1
df479b07-bbf6-472d-a580-c3fd0c_D2
Normal
1.1
6797a69d-2f74-44b9-8147-cd4fac_D2
Normal
1.1
cd3a9d59-bf13-48f3-ae97-bdbca4_D2
Normal
1.1
7fd386f0-e7f6-4ee1-9cd7-b3318a_D2
Normal
1.0
c9f0f144-47f3-4d64-b29f-bcedfa_D2
Normal
1.0
e14c2cbe-eca0-4745-97f6-8f27bd_D2
Normal
1.0
a313f6ef-5994-4d49-9e66-c26911_D2
Normal
0.9
2f8b02e4-1848-4abc-a95e-dd9eb5_D3
Tumor
0.9
5347d2ce-df0c-4d81-a3e2-22db11_D2
Normal
0.9
6e0d04fc-e6a8-41ed-b6f3-45537d_D2
Normal
0.9
f5ed5ebc-881d-456a-80d7-42c9e7_D2
Normal
0.8
5cf5e61d-21ff-4678-9126-14e9bb_D2
Normal
0.8
2666323d-522f-4f0a-823c-ff8866_D2
Normal
0.8
974e136f-7020-4a38-b9c1-094df9_D2
Normal
0.8
b2978e90-cd2a-4665-b1bf-508a99_D2
Normal
0.8
5a3aa99d-ca10-45f6-939f-12392a_D2
Normal
0.8
bed27f66-ef3b-4868-b4ad-205018_D2
Normal
0.8
efee6bb9-69dd-46c2-85b3-b55962_D2
Normal
0.7
b6b41ba2-6415-41aa-b5f5-4d47db_D2
Normal
0.7
bda3787a-1397-4716-bb17-4992a8_D2
Normal
0.7
62627b73-1763-48bc-8eea-e5bd76_D2
Normal
0.7
47d2a435-b203-4438-ae72-53c424_D2
Normal
0.7
76498650-fdbf-4f5d-a19a-cce9a2_D2
Normal
0.7
c307b7b0-534a-45fa-a420-35f773_D2
Normal
0.7
411d9597-c785-4de5-b449-29a80d_D2
Normal
0.7
b4e91300-405e-4239-b8da-5e1a42_D2
Tumor
0.6
da95f6f8-be46-4ed8-a493-2c99f0_D2
Normal
0.6
2cc46aec-6142-4fb9-aca5-c442b9_D2
Normal
0.6
a243b765-61ab-4aa6-88e1-226896_D2
Normal
0.6
a5c8bf1d-776c-406f-82a3-2d9ce6_D2
Normal
0.6
7784e2e5-c0e1-4b85-8cc1-7faac8_D2
Normal
0.5
377cdd37-d1bd-4042-997e-478a0f_D2
Normal
0.5
0c330883-ab58-4a5a-bff7-07d283_D2
Normal
0.5
cbd0e774-c741-4753-9c9e-391a7d_D2
Normal
0.5
6d9f8b06-f28c-4e9b-823b-33ebb7_D2
Normal
0.5
8fab37a4-cdf9-4ce8-9081-7b9148_D2
Normal
0.4
e070ff10-058b-4733-93ab-bdd702_D2
Normal
0.4
325b5314-6f3c-4d79-9b36-4e7ded_D2
Normal
0.4
82157a70-12f1-4913-b548-d98881_D2
Normal
0.4
0d5554d1-1653-4589-a44f-43113e_D2
Normal
0.4
64ed43a2-f083-43cb-9d0d-118495_D2
Normal
0.4
7cc7f69f-99f5-4b23-a9e0-ba0dc8_D8
Tumor
0.4
5de06adb-e00d-4114-8d76-04bd30_D2
Normal
0.4
b871c0c1-a97b-4ac1-887c-0317b6_D2
Normal
0.4
41a04113-2061-4923-bca5-da586c_D2
Normal
0.4
f6b1079b-9d67-4c63-b3d0-d562b5_D2
Tumor
0.4
8af80ae9-2088-4124-91fb-8d6c17_D3
Tumor
0.4
63c1f7ac-b1ae-4c28-95aa-ce21e5_D2
Normal
0.4
16ac8458-5200-4302-9ad0-b311df_D2
Normal
0.4
cd6a4013-2958-44b9-a4f1-45c9e4_D2
Tumor
0.3
a27cf22d-836e-49a7-802f-47c1db_D2
Normal
0.3
0784c7b3-e6a4-42a8-9288-eb4ba0_D2
Normal
0.3
1bf00d93-240f-47e8-8055-f546b0_D2
Normal
0.3
6b0a3188-d8ca-4d50-a377-a8fe4c_D2
Normal
0.3
206f3bd9-f62c-4663-8fdb-5b731b_D2
Normal
0.3
8c73f3a5-fea8-4942-90c0-966f66_D3
Tumor
0.2
019cd0c0-733d-4b25-90e3-d54ce0_D2
Normal
0.2
e74089a9-f78c-4ffe-8174-aef71b_D2
Normal
0.2
1136008b-97ce-49b0-bf24-abbea6_D2
Normal
0.2
7478980a-60fb-4f5e-aa1c-2d7941_D2
Normal
0.2
059a7065-3a5f-4eea-97e5-85ab01_D2
Normal
0.2
3765c09a-fff7-4b37-bf2b-452b23_D2
Normal
0.2
5c70e654-583c-4dd3-ad42-0d9b39_D2
Normal
0.2
3e8019e8-125f-4615-a1fa-a448e9_D2
Normal
0.2
1f79fed9-f0d4-4c45-acd2-ea1441_D2
Normal
0.2
591fb460-703a-437d-8d9a-ff2a35_D3
Tumor
0.2
db3f5ad9-d14d-4126-a3e7-d80faa_D3
Tumor
0.2
26acb513-3ffe-49ad-8581-9dfc97_D2
Normal
0.2
903d5fe0-970a-47be-a97f-3cc914_D2
Normal
0.2
e1cd3d70-132b-452f-ba10-026721_D2
Tumor
0.2
cfb4831f-e9ee-4e11-80fb-958f6f_D2
Tumor
0.2
da747cee-5026-4923-af63-ad9f81_D2
Normal
0.2
d80408d6-598d-4411-ab34-eb2545_D2
Normal
0.1
65867ab1-5eab-44a8-b2bb-d27263_D2
Normal
0.1
dffcac99-9eac-4717-aeb6-f4a2e7_D8
Tumor
0.1
4cdeecb5-19fb-493c-91f5-eb0efc_D3
Tumor
0.1
f6afe41c-111d-4818-8485-fe95e0_D2
Tumor
0.1
1563ef63-d2e6-406f-adc1-255949_D3
Tumor
0.1
cc271b3d-ed33-481f-9d23-15f2f6_D2
Normal
0.1
71b2c1cc-0a31-4ca8-8beb-251e17_D2
Normal
0.1
46dfc1e4-0110-4d9f-888e-6a29ab_D2
Normal
0.1
1fbb1add-4660-4ec1-b8c2-360f9f_D2
Normal
0.1
7fd2eea8-bf99-4f97-8b9e-fb703f_D2
Normal
0.1
b605fafc-f7dd-44cc-9c86-da04e3_D2
Tumor
0.1
359f5c81-2575-497e-8630-e4866f_D2
Normal
0.0
515040a4-bbfb-4a15-9e53-e7b6e6_D2
Normal
0.0
8960a27e-69d8-4ec8-a795-c6cf8a_D3
Tumor
0.0
23e938d0-92b8-4aea-90c1-4385df_D2
Normal
0.0
21cab01c-e968-42cc-9651-1e53c0_D3
Tumor
0.0
1c070992-647b-4173-a481-904c4d_D2
Normal
0.0
154115ac-2ec2-439d-b55e-0464ee_D2
Normal
0.0
2167c594-c33f-4795-b95b-69bd07_D2
Tumor
0.0
9a48cf57-e1f0-4ea1-9804-d563f2_D2
Normal
0.0
88c621d7-7fb3-4825-abbe-82ae4c_D2
Normal
0.0
d0511ea6-43c3-4c61-b08e-cf49b7_D3
Tumor
0.0
2d266d2d-4bb3-436c-a3e7-06acb2_D3
Tumor
0.0
176d1b96-8c6e-44fe-8a32-e15194_D2
Normal
0.0
853ecf90-71e6-4156-a56f-a34b65_D2
Normal
0.0
0aef1fe8-ca61-4113-81d0-d82ee7_D2
Tumor
-0.1
79097be1-cd36-4a23-99d1-3d744f_D2
Tumor
-0.1
92c1ebb5-ac1d-4bf5-a14f-516e1d_D3
Tumor
-0.1
5e886f1c-8165-4232-9591-d80799_D2
Normal
-0.1
b2400046-1d25-429d-a821-6040a6
Tumor
-0.1
694e8df1-d9ee-473b-bec1-4f9237_D2
Normal
-0.1
02cde0c0-6840-495b-9b11-007d82_D2
Normal
-0.1
c7aeb685-31b3-445e-8177-a3e729_D3
Tumor
-0.1
799893aa-d523-4a08-9ea7-611cca_D3
Tumor
-0.1
c9730cb4-b52c-4ca8-9652-4509d0_D2
Tumor
-0.1
c8694e31-2c8f-4eb6-a7ef-a137d9_D3
Tumor
-0.1
5f823547-ee16-45b7-a6a0-ef25d6_D3
Tumor
-0.1
f4bccfe4-98d0-466b-a6d7-44341b_D3
Tumor
-0.1
211cbcef-cb1f-4c80-a1c8-a76d3c_D2
Normal
-0.2
9bf309bc-0fb6-4060-aba2-888eb3_D2
Tumor
-0.2
e515eb5c-8005-416a-9b42-59de9d_D8
Tumor
-0.2
fc9b09af-23b8-4ffe-b6c6-41236d_D2
Normal
-0.2
04ded2cd-3b57-4aec-9c11-48f58e_D2
Normal
-0.2
3d797911-d476-436f-9cce-33e20c_D8
Tumor
-0.2
7bdfa5c9-d11f-4600-9c44-a87996_D2
Normal
-0.2
c6ae57a7-65a0-438e-bae2-97b1c8_D3
Tumor
-0.2
37219a7c-6fe2-4684-a494-d0be08_D2
Tumor
-0.2
d3078fa8-0692-411f-8441-0c7c48_D8
Tumor
-0.2
963fc8db-f412-4427-a198-23f660_D2
Normal
-0.2
642fc6c3-8d4a-4e3d-ad0a-cc088a_D2
Tumor
-0.2
4bb08fad-fa5e-471e-978b-6b09ab_D2
Tumor
-0.2
e8faa3a7-9fc7-428e-9334-a0afd0_D3
Tumor
-0.3
4b263734-430f-41dc-a296-8691f0_D3
Tumor
-0.3
e2e83b72-b14b-4b06-9461-1115d6_D2
Tumor
-0.3
526c3664-5b9b-4a2b-a00e-a14623_D2
Tumor
-0.3
1425a1a1-c835-47a2-a9b9-4db5d0_D8
Tumor
-0.3
42216d99-e8ff-43c9-b6db-28c3a6_D3
Tumor
-0.3
8980bb9d-65c1-41cb-9f90-dddd5f_D2
Normal
-0.3
66b829db-1cdd-460d-b2f3-0e9ca9_D3
Tumor
-0.4
bd67de01-ad7d-431a-9ad6-4dd5a1
Tumor
-0.4
bc574f73-89ba-44d7-992e-82622c_D3
Tumor
-0.4
0630ecb0-b664-4e75-bb3c-fb62ee_D3
Tumor
-0.4
ea6df59d-5240-4927-b19d-d44590_D2
Tumor
-0.4
41ee934e-f7a3-4ef5-8a83-e2ac56_D2
Tumor
-0.4
321fb3b2-ebb6-4ea5-b737-081264_D2
Tumor
-0.4
92f7419c-c57a-4b50-bdc9-4d09ca_D2
Tumor
-0.4
092c5a37-325b-4181-b230-2d8fff_D2
Tumor
-0.4
01d1ffca-4235-4dfe-bf62-56f71d_D3
Tumor
-0.4
98742d96-cc2f-43f0-9de2-bc7afe_D3
Tumor
-0.4
43bc845e-d22e-4c10-b3e8-bc54e6_D2
Normal
-0.5
05a33362-82bb-48ac-8feb-ad2ea1_D2
Tumor
-0.5
5271982c-5de1-4d6e-b414-b1f3ef_D2
Tumor
-0.5
a84149b1-8453-45f0-8400-d7b12f_D2
Normal
-0.5
348f6009-e1be-44d2-a093-9ca844_D2
Normal
-0.5
87408d9e-4029-4e8f-b14c-8efc04_D3
Tumor
-0.5
c1b66358-d103-493c-b8ec-92c43b_D1
Tumor
-0.5
2b810478-7956-4a8b-870d-184859_D2
Tumor
-0.5
8b9e4266-7754-4f2c-ac9e-329905_D2
Tumor
-0.5
695b0b00-a86b-43c0-a6c8-50a840_D3
Tumor
-0.5
573048dd-2502-40e0-8e8c-c41bb8_D3
Tumor
-0.6
d6584b4a-ca99-4a2a-8b4e-c8b22e_D3
Tumor
-0.6
a90eb718-6a8f-4cbf-89c1-f9e9bd_D2
Tumor
-0.6
dfdf03a6-c324-4d8c-a909-ea7345_D2
Tumor
-0.6
a467b905-fc0b-427b-8753-6d38dd_D3
Tumor
-0.6
6e20c8e9-ab75-4996-9296-445b00_D2
Tumor
-0.7
f635496c-0046-4ecd-89bc-7a4f33_D2
Tumor
-0.7
aa0f5b40-3290-4255-8f4d-f45d4e_D3
Tumor
-0.7
0f757044-9bc8-4ed4-90f3-e0a49a_D3
Tumor
-0.7
722378ea-d1a7-4cfc-aca5-ba45f9_D8
Tumor
-0.7
1ab06c24-ffc0-4323-a0cc-e9f5c5_D2
Tumor
-0.7
372c900a-fced-4eef-9dc4-7282ec_D2
Tumor
-0.7
5da00abd-5fa7-4deb-95f1-7982e0_D3
Tumor
-0.7
f9d6fb1b-988e-4D88-9272-cc672f_D8
Tumor
-0.8
3a17283c-a0f4-4514-956b-080d11_D2
Normal
-0.8
c2c53076-b5db-4b7d-983c-a35740_D3
Tumor
-0.8
820a3f08-5bb1-44b3-a133-ee167e_D2
Tumor
-0.8
0f238226-864c-4de0-8c61-01e729_D2
Tumor
-0.8
803736b3-9ca9-4f9f-bdfe-8783e3_D3
Tumor
-0.8
f69deaeb-6b6f-4c61-8900-fd0f26_D3
Tumor
-0.8
54565eae-05c5-4dae-bde9-ae4874_D2
Normal
-0.9
66b57abc-0d49-46bb-a390-0e11a9_D2
Tumor
-1.0
5557e478-3e6f-475b-8acc-1b4159_D8
Tumor
-1.0
58a92726-4d1f-4e44-8938-52b97d_D3
Tumor
-1.0
b4dd4a04-5eda-43dd-8298-215b07_D3
Tumor
-1.0
e196a0b4-2a05-43de-bb30-ceb761_D2
Tumor
-1.1
cd89ffbb-574a-4052-bd9a-00c890_D2
Tumor
-1.1
d7608884-a0d6-4e9e-aac7-6cd813_D3
Tumor
-1.1
c65afd57-530c-4366-b2c8-463a46_D2
Tumor
-1.1
8cc7e656-0152-4359-8566-0581c3
Tumor
-1.2
f6173181-0993-4a5f-a4cd-5f30b1_D2
Tumor
-1.2
0065bfd9-e1b9-43a8-9379-9658ba_D3
Tumor
-1.2
e3c012aa-51c2-42b0-a478-bd620f_D2
Normal
-1.3
ec9afcc4-ccf7-4226-b0e8-d6897d_D3
Tumor
-1.4
a2f03d85-5f1a-4b3e-9dbf-74e67e_D3
Tumor
-1.5
e0068ac5-f557-443a-bd4b-bdfcef_D3
Tumor
-1.5
43192517-085e-450e-9481-0a6713_D3
Tumor
-1.7
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
